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1. Coordinated multi-sectoral efforts needed to address the COVID-19 pandemic: lessons from China and the United States

Author

Zhuo Chen, Cong Cao, and Gonghuan Yang

Subjects
COVID-19, Public health system, Public health surveillance, Multi-sectoral efforts, Public aspects of medicine, RA1-1270
Abstract

Abstract The COVID-19 pandemic has caused staggering human and economic costs. We outline four key lessons learned from efforts to address the pandemic in China and the US. First, effective surveillance, reporting, and contact tracing are needed to contain an epidemic at its emergence and to mitigate its impact at a later stage. Second, multi-sectoral efforts to offer incentives for those with no or minor symptoms to seek care and to quarantine themselves are critical, which would need concerted efforts from payers, providers, and public health. Third, sustained and routine prevention efforts involving both the public and the health systems will prove to be useful in times of a pandemic. Fourth, a strong public health system is essential and will be appreciated at times of urgency. Concerted multi-sectoral efforts are required to address COVID-19 pandemic with strong leadership from the public health sector.

Published
2020
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2. Spatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009

Author

Hongyan Ren, Xia Wan, Cao Wei, and Gonghuan Yang

Subjects
Coronary heart disease, Stroke, Spatiotemporal variation, Ordinary kriging, Epidemiological changes, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

Abstract Background In China, the spatiotemporal variations in cardiovascular disease (CVD) mortality are seldom characterized to understand their epidemiological features. It would be helpful to evaluate the performance of CVD-related interventions for subsequent adjustments. Methods The 2010 Census data as well as the coronary heart disease (CHD) and stroke mortality data from the Disease Surveillance Points (DSPs) were used to calculate the age standardized death rates (ASDRs) of CVD in the DSP counties during 1991–1995, 1996–2000, 2004–2005, and 2006–2009. The ordinary kriging (OK) method was used to estimate the county-level death rates of CHD and stroke and achieved satisfactory results. Results The goodness-of-fit between measured and estimated values of CVD mortality was significant at the 0.01 level (0.34 75 per 105) were located in the Northwest, North, and Northeast in 1991–2000 and then extended toward the North, Central, and South, yielding an inverted-triangle-shaped area in 2004–2009. The counties with a CHD death rate increase greater than 100% were concentrated in the Northeast and South. The Northeast-Southwest regions with a high stroke death rate gradient (> 150 per 105) narrowed in1991–2000, was followed by a slight expansion during 2004–2005, finally reducing in 2006–2009. The counties with a stroke mortality increase greater than 100% were scattered across the Northeast, Northwest, Central, and South. Conclusion The epidemiological characteristics of both CHD and stroke mortality in China was spatiotemporally featured on the county level during 1991–2009.

Published
2019
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3. Risk Factors of Lung Cancer in Xuanwei, Yunnan Province, China

Author

Liqun LIU, Xia WAN, Gongbo CHEN, Xiangyun MA, Bofu NING, and Gonghuan YANG

Subjects
Xuanwei, Lung neoplasms, Risk factors of lung cancer, Descriptive statistics, Exposure percentage, Standardized rate, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background and objective Since 1970s, Xuanwei in Yunnan province has been one of the towns with highest lung cancer mortality in China. Moreover, the characters of high female lung cancer mortality and sub-regional clustering high lung cancer mortality have not changed. In this study, we further described the exposure situation of risk factors of lung cancer in Xuanwei nowadays, in order to explore the trend of the distribution of lung cancer there. Methods Firstly we divided the 26 towns of Xuanwei city to high-, median- and low- lung cancer areas by the lung cancer mortality in 2010-2012. We chose 2 towns within each area according to topography and orientation, and randomly picked 4 villages in each town to be our study area. We did a questionnaire about lung cancer related risk factors upon the sample population in the study area. We calculated the exposure percentages of each risk factor, in whole sample population and subgroups, for nowadays and for 10 years ago (only living environmental risk factors), and compared them between areas or time points using standardized rates and the statistical test of standardized rate comparison, or chi-square test. Results 65%-80% male in the study area has a history of smoking; 60%-90% non-smoker has been exposed to second hand smoke. These situations are worse in high and median lung cancer areas. 50% male in median lung cancer area have coal mining work experience, which is 2 times of the percentages in the other two areas; while 15%-25% people in high lung cancer area have other occupational exposure history to particulate air pollution, which is 3-5 times of the percentages in the other two areas. From ten years ago until nowadays, 80% families in median lung cancer area use 2 tons or more smoky coal per year; more than 90% families burn coal for household heating; more than 60% families suffer from smog in the kitchen during cook; 60% families most frequently use stove in the ground with chimney. Only 20% families in high lung cancer area now use 2 tons or more smoky coal per year. Now 50%-75% families in the study area use 700 kilowatt-hours of electricity per year, much more than ten years ago. 80% residents in low lung cancer area eat fatty or pickled or smoked food at least 3 days per week; while in high and median lung cancer areas the percentages are 50%-60%. Conclusion According to data obtained in this survey, current distribution of smoky coal use has differed from the distribution of high-, median- and low- lung cancer areas. Tobacco use and second hand smoke, the use of smoky coal and occupational exposure to particulate matters could be the main risk factors for lung cancer in Xuanwei now. The relations between lung cancer and stove type, dietary habit and so on deserve further study.

Published
2017
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4. Time trends of esophageal and gastric cancer mortality in China, 1991–2009: an age-period-cohort analysis

Author

Mengmeng Li, Xia Wan, Yanhong Wang, Yuanyuan Sun, Gonghuan Yang, and Li Wang

Subjects
Medicine, Science
Abstract

Abstract Esophageal and gastric cancers share some risk factors. This study aimed to compare the long-term trends in mortality rates of esophageal and gastric cancers in China to provide evidence for cancer prevention and control. Mortality data were derived from 103 continuous points of the Disease Surveillance Points system during 1991–2009, stratified by gender and urban-rural locations. Age-period-cohort models were used to disentangle the time trends of esophageal and gastric cancer mortality. The downward slope of the period effect for esophageal cancer was steeper than that for gastric cancer in rural areas. Cohort effect patterns were similar between esophageal and gastric cancers, with an inverse U-shape peaking around the late 1920s and early 1930s. A second peak, appearing around the 1950s, was weaker than the first but apparent in males, especially for esophageal cancer. The more marked changes in period effect for esophageal cancer in rural areas suggest esophageal cancer screening practices are effective in reducing mortality, and similar programs targeting gastric cancer should be implemented. The similarities of the cohort effects in these two cancers support the implication of nutrition deficiency in early childhood in the development of upper gastrointestinal cancer.

Published
2017
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5. Mortality trends for ischemic heart disease in China: an analysis of 102 continuous disease surveillance points from 1991 to 2009

Author

Xia Wan, Hongyan Ren, Enbo Ma, and Gonghuan Yang

Subjects
Ischemic heart disease, Mortality rate, Disease surveillance points, Public aspects of medicine, RA1-1270
Abstract

Abstract Background In the past 20 years, the trends of ischemic heart disease (IHD) mortality in China have been described in divergent claims. This research analyzes mortality trends for IHD by using the data from 102 continuous Disease Surveillance Points (DSP) from 1991 to 2009. Method The 102 continuous DSP covered 7.3 million people during the period 1991–2000, and then were expanded to a population of 52 million in the same areas for 2004–2009. The data were adjusted by using garbage code redistribution and underreporting rate, mapped from international classification of diseases ICD-9 to ICD-10. The mortality rates for IHD were further adjusted by the crude death proportion multiplied by the total number of deaths in the mortality envelope, which was calculated by using logrt = a + bt. Age-standard death rates (ASDRs) were computed using China’s 2010 census population structure. Trend in IHD was calculated from ASDRs by using a joinpoint regression model. Results The IHD ASDRs increased in total in regions with an average annual percentage change (AAPC) 4.96%, especially for the Southwest (AAPC = 7.97%) and Northeast areas (AAPC = 7.10%), and for male and female subjects (with 5% AAPC) as well. In rural areas, the year 2000 was a cut-off point for mortality rate with annual percentage change increasing from 3.52% in 1991–2000 to 9.02% in 2000–2009, which was much higher than in urban areas (AAPC = 1.05%). And the proportion of deaths increased in older adults, and more male deaths occurred before age 60 compared to female deaths. Conclusion By observing a wide range of areas across China from 1991 to 2009, this paper concludes that the ASDR trend for IHD increased. These trends reflect changes in the Chinese standard of living and lifestyle with diets higher in fat, higher blood lipids and increased body weight.

Published
2017
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6. The association between tobacco use and lung cancer risk: difference caused by smoky coal use

Author

Liqun Liu, Xia Wan, Gongbo Chen, Xiangyun Ma, Bofu Ning, and Gonghuan Yang

Subjects
WCTOH, Diseases of the respiratory system, RC705-779, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background Xuanwei is one of the towns with highest lung cancer mortality in China. Residents there frequently use smoky coal for domestic cooking and heating. The smoking prevalence there is also high. Methods We conducted a population-based case-control study. 388 lung cancer cases and 388 gender-age-area-matched controls were surveyed. The exposure levels to potential lung cancer risk factors of multi-aspects 10 years ago were collected. After checking Spearman correlations between variables and referring to previous studies, we built conditional logistic regression model adjusting education, family history of malignancy, diet, alcohol consumption, occupational history, housing type and exposure to second hand smoke. We then introduced household annual consumption of smoky coal and total consumption of cigarettes from born to 10 years ago to the model in the form of ordered categorical variable (coal level 1-3: never use, less than 3 tons per year, 3 tons or more per year; tobacco level 1-3: never use, less than 130 thousands cigarettes, 130 thousands or more cigarettes). Results There were 27% and 31.2% ever-smokers in case and control group, respectively. Without interactive item, the effect of tobacco use on lung cancer was (all comparing with level 1, with 95% confidence intervals) level 2: OR=0.90(0.22, 3.67), level 3: OR=1.59(0.45, 5.70). After adding interactive item of coal and tobacco in the model, the effect of tobacco use among people never used smoky coal was level2: OR=1.09(0.09, 13.78), level3: OR=2.20(0.16, 29.44); among people using relatively small amount of coal was level2: OR=0.59(0.03, 11.37), level3: OR=0.18(0.01, 4.82); among people using large amount of coal was level2: OR=0.93(0.32, 2.72), level3: OR=1.78(0.30, 10.67). Household annual amount of smoky coal used, 10 years ago Total consumption of cigarettes from born to 10 years ago (reference group: never smoker) β SE OR(95%CI) Never

Published
2018
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7. 'Pro-tobacco propaganda': a case study of tobacco industry-sponsored elementary schools in China

Author

Jennifer Fang, Xia Wan, and Gonghuan Yang

Subjects
WCTOH, Diseases of the respiratory system, RC705-779, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background China is the largest producer and consumer of tobacco products worldwide, with 16.5% of all deaths attributed to tobacco use in 2010. While direct marketing and advertisement of tobacco products has been restricted, indirect marketing still exists under the guise of sponsorship and corporate social responsibility (CSR). This case study is focused on tobacco industry-sponsored elementary schools in Chinese rural areas and discusses the success story of a major tobacco control campaign to remove tobacco-related branding and logos from school buildings. Methods Field visits were undertaken to 3 tobacco industry-sponsored elementary schools in Yunnan in 2012, and semi-structured interviews were conducted with students, teachers, school principals and parents to understand their perceptions of the tobacco industry and its sponsorship of schools. In 2016, semi-structured interviews with tobacco control activists were conducted in Beijing, where respondents discussed the outcome of those field visits and the resulting work in petitioning government sectors to remove tobacco-related branding from school buildings. Interview data was transcribed and coded, and key themes were developed using thematic analysis. Results While health consequences of smoking were generally known, attitudes towards the tobacco industry and its CSR activities remained positive among the general public. Educators and parents did not perceive any impacts on schoolchildren from exposure to “pro-tobacco propaganda” created by the industry's CSR activities. Attitudes among tobacco control activists were drastically different, with consensus that CSR activities constitute indirect marketing attempts that should be banned. Conclusions The successful removal of branding from tobacco industry-sponsored schools shows that meaningful action is possible even in the absence of relevant legislation, and can be achieved through the mobilization of stakeholders, including academics and civil society organizations. National tobacco control legislation banning all forms of indirect marketing including sponsorship and CSR activities is needed in order to protect the health of the future generations.

Published
2018
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8. Impact of the smoke-free legislation on the incidence and mortality of AMI and stroke in Tianjin China: analysis of routinely collected data

Author

Hong Xiao, Gonghuan Yang, Xia Wan, Yang Liu, and Mohsen Naghavi

Subjects
WCTOH, Diseases of the respiratory system, RC705-779, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background Comprehensive smoke-free legislation is an effective way to protect the population from the harms of secondhand smoke (SHS) and has been implemented in many countries. Tianjin is one of the few cities in China that have passed smoke-free legislation. We investigated the impact of smoke-free legislation on acute myocardial infarction (AMI) and stroke in Tianjin. Methods An interrupted time series design adjusting for underlying secular trend, seasonal pattern, population size changes and meteorology factors was conducted to analyze the impact of the smoking free law on the weekly incidence and mortality of AMI and stroke. The study period was from January 1, 2007, to December 31, 2015, with a post-ban follow-up of 3.5 years. Results Following the smoke-free law implementation, there was a decline in the annual proportional change for AMI and stroke mortality. A gradual 16% (RR:0.84; 95% CI: 0.83-0.85) decrease per year in AMI mortality among in population ages ≥ 35 years and a gradual 4% (RR:0.96; 95% CI: 0.95-0.98) decrease per year in stroke mortality among 35-64 age group in Tianjin was observed. Post-ban stroke incidence immediate reductions were found in in stroke in 35-64 age group (RR:0.96; 95% CI: 0.95-0.98). AMI incidence immediate reductions were only found in females aged 35-64 (RR:0.71; 95% CI: 0.65-0.78). Conclusions The smoke-free law in Tianjin was associated with gradual reductions in AMI and stroke mortality and immediate reductions in AMI and stroke incidence. The considerably modest and inconsistent effect on AMI and stroke incidence probably reflects the weak law enforcement and limitation of incidence surveillance data in Tianjin. This study reinforces the need for large-scale, effective and comprehensive smoke-free law in China. Funding: This research was supported by China Medical Board (15-208)

Published
2018
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9. Evaluating national cause-of-death statistics: principles and application to the case of China

Author

Chalapati Rao, Alan D. Lopez, Gonghuan Yang, Stephen Begg, and Jiemin Ma

Subjects
Mortalidad, Causa de muerte, Estadística, Recolección de datos, Modelos estadísticos, Estudios de evaluación, China, Public aspects of medicine, RA1-1270
Abstract

Mortality statistics systems provide basic information on the levels and causes of mortality in populations. Only a third of the world's countries have complete civil registration systems that yield adequate cause-specific mortality data for health policy-making and monitoring. This paper describes the development of a set of criteria for evaluating the quality of national mortality statistics and applies them to China as an example. The criteria cover a range of structural, statistical and technical aspects of national mortality data. Little is known about cause-of-death data in China, which is home to roughly one-fifth of the world's population. These criteria were used to evaluate the utility of data from two mortality statistics systems in use in China, namely the Ministry of Health-Vital Registration (MOH-VR) system and the Disease Surveillance Point (DSP) system. We concluded that mortality registration was incomplete in both. No statistics were available for geographical subdivisions of the country to inform resource allocation or for the monitoring of health programmes. Compilation and publication of statistics is irregular in the case of the DSP, and they are not made publicly available at all by the MOH-VR. More research is required to measure the content validity of cause-of-death attribution in the two systems, especially due to the use of verbal autopsy methods in rural areas. This framework of criteria-based evaluation is recommended for the evaluation of national mortality data in developing countries to determine their utility and to guide efforts to improve their value for guiding policy.

Published
2005

10. Smoking among young rural to urban migrant women in China: a cross-sectional survey.

Author

Xia Wan, Sanghyuk S Shin, Qian Wang, H Fisher Raymond, Huilin Liu, Ding Ding, Gonghuan Yang, and Thomas E Novotny

Subjects
Medicine, Science
Abstract

Rural-to-urban migrant women may be vulnerable to smoking initiation as they are newly exposed to risk factors in the urban environment. We sought to identify correlates of smoking among rural-to-urban migrant women in China.A cross-sectional survey of rural-to-urban migrant women working in restaurants and hotels (RHW) and those working as commercial sex workers (CSW) was conducted in ten provincial capital cities in China. Multiple logistic regression was conducted to identify correlates of smoking. We enrolled 2229 rural-to-urban migrant women (1697 RHWs aged 18-24 years and 532 CSWs aged 18-30 years). Of these, 18.4% RHWs and 58.3% CSWs reported ever tried smoking and 3.2% RHWs and 41.9% CSWs reported current smoking. Participants who first tried smoking after moving to the city were more likely to be current smokers compared to participants who first tried smoking before moving to the city (25.3% vs. 13.8% among RHWs, p = 0.02; 83.6% vs. 58.6% among CSWs, p =

Published
2011
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11. Validation of the symptom pattern method for analyzing verbal autopsy data.

Author

Christopher J L Murray, Alan D Lopez, Dennis M Feehan, Shanon T Peter, and Gonghuan Yang

Subjects
Medicine
Abstract

Cause of death data are a critical input to formulating good public health policy. In the absence of reliable vital registration data, information collected after death from household members, called verbal autopsy (VA), is commonly used to study causes of death. VA data are usually analyzed by physician-coded verbal autopsy (PCVA). PCVA is expensive and its comparability across regions is questionable. Nearly all validation studies of PCVA have allowed physicians access to information collected from the household members' recall of medical records or contact with health services, thus exaggerating accuracy of PCVA in communities where few deaths had any interaction with the health system. In this study we develop and validate a statistical strategy for analyzing VA data that overcomes the limitations of PCVA.We propose and validate a method that combines the advantages of methods proposed by King and Lu, and Byass, which we term the symptom pattern (SP) method. The SP method uses two sources of VA data. First, it requires a dataset for which we know the true cause of death, but which need not be representative of the population of interest; this dataset might come from deaths that occur in a hospital. The SP method can then be applied to a second VA sample that is representative of the population of interest. From the hospital data we compute the properties of each symptom; that is, the probability of responding yes to each symptom, given the true cause of death. These symptom properties allow us first to estimate the population-level cause-specific mortality fractions (CSMFs), and to then use the CSMFs as an input in assigning a cause of death to each individual VA response. Finally, we use our individual cause-of-death assignments to refine our population-level CSMF estimates. The results from applying our method to data collected in China are promising. At the population level, SP estimates the CSMFs with 16% average relative error and 0.7% average absolute error, while PCVA results in 27% average relative error and 1.1% average absolute error. At the individual level, SP assigns the correct cause of death in 83% of the cases, while PCVA does so for 69% of the cases. We also compare the results of SP and PCVA when both methods have restricted access to the information from the medical record recall section of the VA instrument. At the population level, without medical record recall, the SP method estimates the CSMFs with 14% average relative error and 0.6% average absolute error, while PCVA results in 70% average relative error and 3.2% average absolute error. For individual estimates without medical record recall, SP assigns the correct cause of death in 78% of cases, while PCVA does so for 38% of cases.Our results from the data collected in China suggest that the SP method outperforms PCVA, both at the population and especially at the individual level. Further study is needed on additional VA datasets in order to continue validation of the method, and to understand how the symptom properties vary as a function of culture, language, and other factors. Our results also suggest that PCVA relies heavily on household recall of medical records and related information, limiting its applicability in low-resource settings. SP does not require that additional information to adequately estimate causes of death.

Published
2007
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12. Core verbal autopsy procedures with comparative validation results from two countries.

Author

Philip W Setel, Chalapati Rao, Yusuf Hemed, David R Whiting, Gonghuan Yang, Daniel Chandramohan, K G M M Alberti, and Alan D Lopez

Subjects
Medicine
Abstract

BackgroundCause-specific mortality statistics remain scarce for the majority of low-income countries, where the highest disease burdens are experienced. Neither facility-based information systems nor vital registration provide adequate or representative data. The expansion of sample vital registration with verbal autopsy procedures represents the most promising interim solution for this problem. The development and validation of core verbal autopsy forms and suitable coding and tabulation procedures are an essential first step to extending the benefits of this method.Methods and findingsCore forms for peri- and neonatal, child, and adult deaths were developed and revised over 12 y through a project of the Tanzanian Ministry of Health and were applied to over 50,000 deaths. The contents of the core forms draw upon and are generally comparable with previously proposed verbal autopsy procedures. The core forms and coding procedures based on the International Statistical Classification of Diseases (ICD) were further adapted for use in China. These forms, the ICD tabulation list, the summary validation protocol, and the summary validation results from Tanzania and China are presented here.ConclusionsThe procedures are capable of providing reasonable mortality estimates as adjudged against stated performance criteria for several common causes of death in two countries with radically different cause structures of mortality. However, the specific causes for which the procedures perform well varied between the two settings because of differences in the underlying prevalence of the main causes of death. These differences serve to emphasize the need to undertake validation studies of verbal autopsy procedures when they are applied in new epidemiological settings.

Published
2006
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13. Setting international standards for verbal autopsy

Author

Frank Baiden, Ayaga Bawah, Sidu Biai, Fred Binka, Ties Boerma, Peter Byass, Daniel Chandramohan, Somnath Chatterji, Cyril Engmann, Dieltiens Greet, Robert Jakob, Kathleen Kahn, Osamu Kunii, Alan D Lopez, Christopher J L Murray, Bernard Nahlen, Chalapati Rao, Osman Sankoh, Philip W Setel, Kenji Shibuya, Nadia Soleman, Linda Wright, and Gonghuan Yang

Subjects
Public aspects of medicine, RA1-1270
Published
2007

15. Impact of Qingdao's smoke‐free legislation on hospitalizations and mortality from acute myocardial infarction and stroke: an interrupted time–series analysis

Author

Fei Qi, Mohsen Naghavi, Yani Wang, Hong Xiao, Hua Zhang, Gonghuan Yang, Xia Wan, Xiaorong Jia, and Shanpeng Li

Subjects
Adult, Male, China, medicine.medical_specialty, Myocardial Infarction, 030508 substance abuse, Medicine (miscellaneous), Stroke mortality, Interrupted Time Series Analysis, 03 medical and health sciences, 0302 clinical medicine, Age groups, medicine, Humans, cardiovascular diseases, 030212 general & internal medicine, Myocardial infarction, Stroke, health care economics and organizations, Smoke free legislation, Aged, Aged, 80 and over, Discharge diagnosis, business.industry, Middle Aged, medicine.disease, Patient Discharge, Confidence interval, Hospitalization, Psychiatry and Mental health, Emergency medicine, Female, Tobacco Smoke Pollution, 0305 other medical science, business, Program Evaluation
Abstract

Background and aims More than 20 cities in China have enacted local smoke-free laws that prohibit smoking in public places. Only two of these cities have examined the health impact of the law. Enacted in 2013, Qingdao's smoke free-law was stricter than most other municipal smoke-free laws because it did not allow designated smoking rooms. This study aimed to estimate the impact of Qingdao's smoke-free legislation on acute myocardial infarction (AMI) and stroke. Design, setting and participants We used an interrupted time-series design adjusting for underlying secular trends, seasonal patterns and meteorological factors to estimate the impact of the smoke-free law on AMI and stroke events among permanent residents aged 35 years or older in Qingdao, China. The study period was from 1 January 2010 to 31 December 2015, with a post-ban follow-up of approximately 2.5 years. Measurement Outcome measures were weekly numbers of hospitalizations and deaths due to AMI/stroke. Findings A total of 10 371 and 56 101 patients were hospitalized, with a principal discharge diagnosis of AMI and stroke, respectively; 32 196 AMI and 49 711 stroke deaths occurred during the study period. Following the smoke-free legislation, an incremental 20% [95% confidence interval (CI) = 14-26%] and 8% (95% CI = 3-13%) decrease per year was observed in AMI and stroke hospitalization rates, respectively. Neither the immediate nor gradual change in AMI nor stroke mortality rates associated with the law was statistically significant (P > 0.05). Post-hoc subgroup analyses indicated that statistically significant reductions in AMI hospitalizations were evident among both the 35-64 (18% per year, 95% CI = 12-27%) and 65-84 (20% per year, 95% CI = 12-27%) age groups. Statistically significant reductions in stroke hospitalization were only in the older subgroup (13% per year, 95% CI = 8-18%). Conclusions The 2013 smoke-free legislation in Qingdao, China was associated with reduction in hospitalization from acute myocardial infarction and stroke among permanent residents aged 35 years or older. There was no statistically significant reduction in mortality from acute myocardial infarctions or stroke.

Published
2020

17. ‘Pro-tobacco propaganda’: a case study of tobacco industry-sponsored elementary schools in China

Author

Gonghuan Yang, Jennifer Fang, and Xia Wan

Subjects
Adult, Male, Parents, China, Health (social science), education, Legislation, Tobacco Industry, lcsh:RC254-282, Tobacco industry, Political science, Tobacco Smoking, Financial Support, Humans, Child, health care economics and organizations, Original Research, lcsh:RC705-779, Social Responsibility, corporate social responsibility, Schools, tobacco philanthropy, business.industry, Tobacco control, Public Health, Environmental and Occupational Health, lcsh:Diseases of the respiratory system, Public relations, Middle Aged, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, WCTOH, Direct marketing, Corporate social responsibility, Propaganda, Female, Rural area, Thematic analysis, School Teachers, business
Abstract

Background China is the largest producer and consumer of tobacco products worldwide, with 16.5% of all deaths attributed to tobacco use in 2010. While direct marketing and advertisement of tobacco products has been restricted, indirect marketing still exists under the guise of sponsorship and corporate social responsibility (CSR). This case study is focused on tobacco industry-sponsored elementary schools in Chinese rural areas and discusses the success story of a major tobacco control campaign to remove tobacco-related branding and logos from school buildings. Methods Field visits were undertaken to 3 tobacco industry-sponsored elementary schools in Yunnan in 2012, and semi-structured interviews were conducted with students, teachers, school principals and parents to understand their perceptions of the tobacco industry and its sponsorship of schools. In 2016, semi-structured interviews with tobacco control activists were conducted in Beijing, where respondents discussed the outcome of those field visits and the resulting work in petitioning government sectors to remove tobacco-related branding from school buildings. Interview data was transcribed and coded, and key themes were developed using thematic analysis. Results While health consequences of smoking were generally known, attitudes towards the tobacco industry and its CSR activities remained positive among the general public. Educators and parents did not perceive any impacts on schoolchildren from exposure to “pro-tobacco propaganda” created by the industry's CSR activities. Attitudes among tobacco control activists were drastically different, with consensus that CSR activities constitute indirect marketing attempts that should be banned. Conclusions The successful removal of branding from tobacco industry-sponsored schools shows that meaningful action is possible even in the absence of relevant legislation, and can be achieved through the mobilization of stakeholders, including academics and civil society organizations. National tobacco control legislation banning all forms of indirect marketing including sponsorship and CSR activities is needed in order to protect the health of the future generations.

Published
2019

18. Impact of smoke-free legislation on acute myocardial infarction and stroke mortality: Tianjin, China, 2007–2015

Author

Hui Zhang, Dezheng Wang, Xia Wan, Zhongliang Xu, Hong Xiao, Guohong Jiang, Chengfeng Shen, Ying Zhang, Mohsen Naghavi, and Gonghuan Yang

Subjects
surveillance and monitoring, Adult, Male, China, Health (social science), Public policy, Population, Myocardial Infarction, Legislation, 030204 cardiovascular system & hematology, Stroke mortality, Rate ratio, 03 medical and health sciences, 0302 clinical medicine, prevention, medicine, Humans, 030212 general & internal medicine, Myocardial infarction, cardiovascular diseases, Poisson Distribution, Cities, Mortality, education, Stroke, health care economics and organizations, Original Research, Aged, education.field_of_study, business.industry, Population size, Public Health, Environmental and Occupational Health, Interrupted Time Series Analysis, Middle Aged, medicine.disease, Smoke-Free Policy, Female, Tobacco Smoke Pollution, business, Demography, secondhand smoke
Abstract

BackgroundSmoke-free legislation is an effective way to protect the population from the harms of secondhand smoke and has been implemented in many countries. On 31 May 2012, Tianjin became one of the few cities in China to implement smoke-free legislation. We investigated the impact of smoke-free legislation on mortality due to acute myocardial infarction (AMI) and stroke in Tianjin.MethodsAn interrupted time series design adjusting for underlying secular trends, seasonal patterns, population size changes and meteorological factors was conducted to analyse the impact of the smoke-free law on the weekly mortality due to AMI and stroke. The study period was from 1 January 2007 to 31 December 2015, with a 3.5-year postlegislation follow-up.ResultsFollowing the implementation of the smoke-free law, there was a decline in the annual trends of AMI and stroke mortality. An incremental 16% (rate ratio (RR): 0.84; 95% CI: 0.83 to 0.85) decrease per year in AMI mortality and a 2% (RR: 0.98; 95% CI: 0.97 to 0.99) annual decrease in stroke mortality among the population aged ≥35 years in Tianjin was observed. Immediate postlegislation reductions in mortality were not statistically significant. An estimated 10 000 (22%) AMI deaths were prevented within 3.5 years of the implementation of the law.ConclusionThe smoke-free law in Tianjin was associated with reductions in AMI mortality. This study reinforces the need for large-scale, effective and comprehensive smoke-free laws at the national level in China.

Published
2019

19. Coordinated multi-sectoral efforts needed to address the COVID-19 pandemic: lessons from China and the United States

Author

Cong Cao, Gonghuan Yang, and Zhuo Chen

Subjects
China, Economic growth, medicine.medical_specialty, Health (social science), Epidemiology, 01 natural sciences, Disease Outbreaks, law.invention, 03 medical and health sciences, 0302 clinical medicine, Public health surveillance, law, Economic cost, Quarantine, Pandemic, medicine, Humans, 030212 general & internal medicine, 0101 mathematics, Pandemics, health care economics and organizations, lcsh:Public aspects of medicine, Health Policy, Public health, 010102 general mathematics, Public Health, Environmental and Occupational Health, COVID-19, lcsh:RA1-1270, United States, Public health system, Incentive, Commentary, Public Health, Business, Multi-sectoral efforts, Contact tracing
Abstract

The COVID-19 pandemic has caused staggering human and economic costs. We outline four key lessons learned from efforts to address the pandemic in China and the US. First, effective surveillance, reporting, and contact tracing are needed to contain an epidemic at its emergence and to mitigate its impact at a later stage. Second, multi-sectoral efforts to offer incentives for those with no or minor symptoms to seek care and to quarantine themselves are critical, which would need concerted efforts from payers, providers, and public health. Third, sustained and routine prevention efforts involving both the public and the health systems will prove to be useful in times of a pandemic. Fourth, a strong public health system is essential and will be appreciated at times of urgency. Concerted multi-sectoral efforts are required to address COVID-19 pandemic with strong leadership from the public health sector.

Published
2020

20. Spatiotemporal analysis of PM2.5 and pancreatic cancer mortality in China

Author

Kailiang Cheng, Yuan Zheng, Li Wang, Xinyu Zhao, Mengmeng Li, Yuanyuan Sun, Gonghuan Yang, Xia Wan, and Yanhong Wang

Subjects
Disease surveillance, education.field_of_study, business.industry, Population, Context (language use), 010501 environmental sciences, 01 natural sciences, Biochemistry, Confidence interval, 03 medical and health sciences, 0302 clinical medicine, Cohort effect, Relative risk, Environmental health, Risk of mortality, Medicine, Spatial variability, 030212 general & internal medicine, business, education, 0105 earth and related environmental sciences, General Environmental Science
Abstract

Background Previous studies have reported that the development of pancreatic cancer (PC) may be associated with environment pollution. But the relationship between ambient air pollution and PC remains unclear. Objectives This study aimed to examine the association between PC mortality and exposure of fine particular matter. Methods We used PC mortality data from 103 continuous points in national Disease Surveillance Point system from 1991 to 2009 in China. The annual concentrations of PM2.5 at 0.1° × 0.1° spatial resolution for each points were estimated based on the context of the Global Burden of Disease Study 2015. A spatial age-period-cohort model was used to examine the relative risks of PC mortality associated with PM exposure, after adjusting gender, urban/rural status, spatial variation as well as age, period and cohort effect. Results The relative risks of PC mortality related to 10 μg/m3 increase of PM2.5 were 1.16 (95% confidence interval (CI): 1.13, 1.20) for all the population, 1.08 (1.05,1.13) for those aged 40–64 years, 1.21 (1.17,1.25) for those aged 65–84 years, 1.14 (1.10,1.18) for the male, 1.19 (1.14,1.24) for the female, 1.23 (1.16,1.30) for the urban population and 1.29 (1.22, 1.37) for the rural population. Conclusions Ambient PM2.5 may raise the risk of mortality from PC, especially in older population. Pollution control policy should be further strengthened to reduce the health damages.

Published
2018

21. Sample registration of vital events with verbal autopsy: a renewed commitment to measuring and monitoring vital statistics

Author

Setel, Philip W., Sankoh, Osman, Rao, Chalapati, Velkoff, Victoria A., Mathers, Colin, Gonghuan, Yang, Hemed, Yusuf, Jha, Prabhat, and Lopez, Alan D.

Subjects
Company systems management, Mortality -- United States, Mortality -- Information management, Children
Abstract

Registration of births, recording deaths by age, sex and cause, and calculating mortality levels and differentials are fundamental to evidence-based health policy, monitoring and evaluation. Yet few of the countries with the greatest need for these data have functioning systems to produce them despite legislation providing for the establishment and maintenance of vital registration. Sample vital registration (SVR), when applied in conjunction with validated verbal autopsy procedures and implemented in a nationally representative sample of population clusters represents an affordable, cost-effective, and sustainable short- and medium-term solution to this problem. SVR complements other information sources by producing age-, sex-, and cause-specific mortality data that are more complete and continuous than those currently available. The tools and methods employed in an SVR system, however, are imperfect and require rigorous validation and continuous quality assurance; sampling strategies for SVR are also still evolving. Nonetheless, interest in establishing SVR is rapidly growing in Africa and Asia. Better systems for reporting and recording data on vital events will be sustainable only if developed hand-in-hand with existing health information strategies at the national and district levels; governance structures; and agendas for social research and development monitoring. If the global community wishes to have mortality measurements 5 or 10 years hence, the foundation stones of SVR must be laid today. Keywords Vital statistics; Sample size; Mortality; Cause of death; Autopsy; Interviews; Data collection/methods; Information systems (source: MeSH, NLM). Mots cles Statistique demographique; Taille echantillon; Mortalite; Cause deces; Autopsie; Entretien; Collecte donnees/methodes; Systeme information (source: MeSH, INSERM). Palabras clave Estadisticas vitales; Tamano de la muestra; Mortalidad; Causa de muerte; Autopsia; Entrevistas; Recoleccion de datos/metodos; Sistemas de informacion (fuente: DeCS, BIREME)., Making people count Registration of births, recording deaths by age, sex and cause, and calculating mortality levels and differentials are fundamental to evidence-based health policy, monitoring and evaluation. Yet few [...]

Published
2005

22. A cross-country comparison of secondhand smoke exposure among adults: findings from the Global Adult Tobacco Survey (GATS)

Author

King, Brian A, Mirza, Sara A, Babb, Stephen D, Hasan, Md Amirul, Malta, Deborah Carvalho, Gonghuan, Yang, Yan, Yang, Lin, Xiao, Qiang, Li, Labib, Sahar Latif, Hussein, Awatef, Vemuri, Anuradha, Kaur, Jagdish, Ram, F, Parasuraman, Sulabha, Avila, Mauricio Hernandez, Miriam, Luz, Shigematsu, Reynales-, Segarra, Agnes, Barcenas, Glenn, Yabut, Benedicta, Parchimowicz, Tadeusz, Zatonski, Witold, Przewozniak, Krzysztof, Raciborski, Filip, Siekierski, Krzysztof, Shevireva, Maria, Kostenko, Natalya, Nesterov, Vadim, Chernisheva, Tamara, Konik, Tatiana, Sakharova, Galina, Benjakul, Sarunya, Termsirikulchai, Lakkhana, Kengganpanich, Mondha, Lohtongmongkol, Areerat, Puckcharern, Hataichanok, Touchchai, Chitrlada, İlter, Hüseyin, Tasti, Enver, Celikkaya, Ramazan, Erdogan, Guzin, Bilir, Nazmi, Özcebe, Hilal, Grygorenko, Alla, Krasovsky, Konstantin, Kharchenko, Natalia, Paniotto, Volodymyr, Andreeva, Tatiana, Abascal, Winston, Lorenzo, Ana, Mora, Franco González, Hai, Phan Thi, Quan, Nguyen The, Minh, Hoang Van, Giang, Kim Bao, Bettcher, Douglas, Bhatti, Lubna, dʼEspaignet, Edouard Tursan, Pujari, Sameer, Yurekli, Ayda, Ouma, AE Ogwell, Ramanandraibe, Nivo, Blanco, Adriana, Caixeta, Roberta de Betania, Gil, Enrique, Gamez, Carlos, Vignolo, Julio, Awa, Fatimah El, Fouad, Heba, Naga, Randa Abou El, Mauer-Stender, Kristina, Khoury, Rula, Koziel, Anna, Migliorini, Luigi, Storozhenko, Oleg, Ergüder, Toker, Korol, Nataliya, Sinha, Dhirendra N, Choudhury, Sohel, Zaman, M Mostafa, Gill, Vineet Munish, Kritiyapichatkul, Chai, Mercado, Susan, Rarick, James, England, Sarah, Miguel-Baquilod, Marina, Nga, Pham Thi Quynh, Khanh, Pham Huyen, Andes, Linda, Asma, Samira, Bilukha, Oksana, Frieden, Thomas R, Blutcher-Nelson, Glenda, Edwards, Peter, Hsia, Jason, Kostova, Deliana, Lea, Veronica, Lee, Juliette, Lindsey, Ronney, McAfee, Timothy, Mirza, Sara, Morton, Jeremy, Palipudi, Krishna, Pechacek, Terry, Shelton, Dana, Song, Sophia, Warren, Charles, Zhao, Luhua, Parra, William, Talley, Brandon, Granoff, Connie, Green, Michael, Cohen, Joanna, Cherukupalli, Rajeev, Litavecz, Steve, Apelberg, Benjamin, Miguel-Baquilod, Marina, Borland, Ron, Giovino, Gary, Gupta, Prakash C, Ferrante, Daniel, Mohammed, Mostafa, Bowling, Michael, Kalsbeek, William, Palipudi, Krishna, Roy, TK, Angell, Sonia, Bhalla, Neeraj, Chaloupka, Frank, Jha, Prabhat, Peto, Richard, Samet, Jonathan, Vendhan, Gajalakshmi, Zatonski, Witold, Henning, Kelly, and Ellis, Jennifer

Published
2013
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23. Spatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009

Author

Gonghuan Yang, Xia Wan, Hongyan Ren, and Cao Wei

Subjects
Male, China, lcsh:Diseases of the circulatory (Cardiovascular) system, medicine.medical_specialty, Time Factors, Coronary Disease, Disease, 030204 cardiovascular system & hematology, Epidemiological changes, 03 medical and health sciences, Age Distribution, Spatio-Temporal Analysis, 0302 clinical medicine, Epidemiology, Humans, Medicine, cardiovascular diseases, 030212 general & internal medicine, Mortality, Sex Distribution, Stroke, Retrospective Studies, Angiology, Disease surveillance, business.industry, Mortality rate, medicine.disease, Coronary heart disease, Ordinary kriging, lcsh:RC666-701, Female, Spatiotemporal variation, Cardiology and Cardiovascular Medicine, business, Research Article, Demography
Abstract

Background In China, the spatiotemporal variations in cardiovascular disease (CVD) mortality are seldom characterized to understand their epidemiological features. It would be helpful to evaluate the performance of CVD-related interventions for subsequent adjustments. Methods The 2010 Census data as well as the coronary heart disease (CHD) and stroke mortality data from the Disease Surveillance Points (DSPs) were used to calculate the age standardized death rates (ASDRs) of CVD in the DSP counties during 1991–1995, 1996–2000, 2004–2005, and 2006–2009. The ordinary kriging (OK) method was used to estimate the county-level death rates of CHD and stroke and achieved satisfactory results. Results The goodness-of-fit between measured and estimated values of CVD mortality was significant at the 0.01 level (0.34 75 per 105) were located in the Northwest, North, and Northeast in 1991–2000 and then extended toward the North, Central, and South, yielding an inverted-triangle-shaped area in 2004–2009. The counties with a CHD death rate increase greater than 100% were concentrated in the Northeast and South. The Northeast-Southwest regions with a high stroke death rate gradient (> 150 per 105) narrowed in1991–2000, was followed by a slight expansion during 2004–2005, finally reducing in 2006–2009. The counties with a stroke mortality increase greater than 100% were scattered across the Northeast, Northwest, Central, and South. Conclusion The epidemiological characteristics of both CHD and stroke mortality in China was spatiotemporally featured on the county level during 1991–2009.

Published
2019

24. Measuring progress in health in China and its provinces

Author

Xia Wan and Gonghuan Yang

Subjects
China, Systems Analysis, business.industry, Risk Factors, Environmental health, MEDLINE, Medicine, General Medicine, Morbidity, business, Article, Global Burden of Disease
Abstract

Summary Background Public health is a priority for the Chinese Government. Evidence-based decision making for health at the province level in China, which is home to a fifth of the global population, is of paramount importance. This analysis uses data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to help inform decision making and monitor progress on health at the province level. Methods We used the methods in GBD 2017 to analyse health patterns in the 34 province-level administrative units in China from 1990 to 2017. We estimated all-cause and cause-specific mortality, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), summary exposure values (SEVs), and attributable risk. We compared the observed results with expected values estimated based on the Socio-demographic Index (SDI). Findings Stroke and ischaemic heart disease were the leading causes of death and DALYs at the national level in China in 2017. Age-standardised DALYs per 100 000 population decreased by 33·1% (95% uncertainty interval [UI] 29·8 to 37·4) for stroke and increased by 4·6% (–3·3 to 10·7) for ischaemic heart disease from 1990 to 2017. Age-standardised stroke, ischaemic heart disease, lung cancer, chronic obstructive pulmonary disease, and liver cancer were the five leading causes of YLLs in 2017. Musculoskeletal disorders, mental health disorders, and sense organ diseases were the three leading causes of YLDs in 2017, and high systolic blood pressure, smoking, high-sodium diet, and ambient particulate matter pollution were among the leading four risk factors contributing to deaths and DALYs. All provinces had higher than expected DALYs per 100 000 population for liver cancer, with the observed to expected ratio ranging from 2·04 to 6·88. The all-cause age-standardised DALYs per 100 000 population were lower than expected in all provinces in 2017, and among the top 20 level 3 causes were lower than expected for ischaemic heart disease, Alzheimer's disease, headache disorder, and low back pain. The largest percentage change at the national level in age-standardised SEVs among the top ten leading risk factors was in high body-mass index (185%, 95% UI 113·1 to 247·7]), followed by ambient particulate matter pollution (88·5%, 66·4 to 116·4). Interpretation China has made substantial progress in reducing the burden of many diseases and disabilities. Strategies targeting chronic diseases, particularly in the elderly, should be prioritised in the expanding Chinese health-care system. Funding China National Key Research and Development Program and Bill & Melinda Gates Foundation.

Published
2019

26. Cause-specific mortality for 240 causes in China during 1990–2013: a systematic subnational analysis for the Global Burden of Disease Study 2013

Author

Guoqing Hu, Hannah Hamavid, Yong Zhao, Theo Vos, Jun She, Gelin Xu, Yuantao Hao, Daniel Dicker, Ryan M Barber, Mohsen Naghavi, Haidong Kan, Xiaonong Zou, Yu Wang, Maya S Fraser, Jun Zhu, Yingfeng Zheng, Maigeng Zhou, Haidong Wang, Peng Yin, Shicheng Yu, Jiangmei Liu, Wanqing Chen, Feng Tan, Guohong Jiang, Shiwei Liu, Alan D. Lopez, Yunning Liu, Linhong Wang, Gonghuan Yang, Xia Wan, Yichong Li, Lijing L. Yan, Matthew M Coates, Lijun Wang, Christopher J L Murray, Xiaofeng Liang, Michael R. Phillips, Chuanhua Yu, and Diego Gonzalez-Medina

Subjects
Adult, Male, Mainland China, Gerontology, China, Adolescent, Demographic transition, Poison control, History, 21st Century, Young Adult, 03 medical and health sciences, Life Expectancy, 0302 clinical medicine, Cost of Illness, Cause of Death, Environmental health, Injury prevention, Humans, Medicine, 030212 general & internal medicine, Mortality, Child, Aged, business.industry, Age Factors, Infant, Newborn, Infant, General Medicine, History, 20th Century, Middle Aged, Years of potential life lost, Demographic change, Child, Preschool, Life expectancy, Female, business, 030217 neurology & neurosurgery
Abstract

Summary Background China has experienced a remarkable epidemiological and demographic transition during the past three decades. Far less is known about this transition at the subnational level. Timely and accurate assessment of the provincial burden of disease is needed for evidence-based priority setting at the local level in China. Methods Following the methods of the Global Burden of Disease Study 2013 (GBD 2013), we have systematically analysed all available demographic and epidemiological data sources for China at the provincial level. We developed methods to aggregate county-level surveillance data to inform provincial-level analysis, and we used local data to develop specific garbage code redistribution procedures for China. We assessed levels of and trends in all-cause mortality, causes of death, and years of life lost (YLL) in all 33 province-level administrative units in mainland China, all of which we refer to as provinces, for the years between 1990 and 2013. Findings All provinces in mainland China have made substantial strides to improve life expectancy at birth between 1990 and 2013. Increases ranged from 4·0 years in Hebei province to 14·2 years in Tibet. Improvements in female life expectancy exceeded those in male life expectancy in all provinces except Shanghai, Macao, and Hong Kong. We saw significant heterogeneity among provinces in life expectancy at birth and probability of death at ages 0–14, 15–49, and 50–74 years. Such heterogeneity is also present in cause of death structures between sexes and provinces. From 1990 to 2013, leading causes of YLLs changed substantially. In 1990, 16 of 33 provinces had lower respiratory infections or preterm birth complications as the leading causes of YLLs. 15 provinces had cerebrovascular disease and two (Hong Kong and Macao) had ischaemic heart disease. By 2013, 27 provinces had cerebrovascular disease as the leading cause, five had ischaemic heart disease, and one had lung cancer (Hong Kong). Road injuries have become a top ten cause of death in all provinces in mainland China. The most common non-communicable diseases, including ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and cancers (liver, stomach, and lung), contributed much more to YLLs in 2013 compared with 1990. Interpretation Rapid transitions are occurring across China, but the leading health problems and the challenges imposed on the health system by epidemiological and demographic change differ between groups of Chinese provinces. Localised health policies need to be implemented to tackle the diverse challenges faced by local health-care systems. Funding China National Science & Technology Pillar Program 2013 (2013BAI04B02) and Bill & Melinda Gates Foundation.

Published
2016

27. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013

Author

Yong Zhao, Hadi Danawi, Bach Xuan Tran, Gene Bukhman, Vasiliki Stathopoulou, Taavi Tillmann, Nelson Alvis-Guzman, Yongmei Li, Jerry Puthenpurakal Abraham, Sudan Prasad Neupane, Jack Caravanos, Ben Schöttker, Rafael Lozano, Damian G Hoy, Yoshihiro Kokubo, Nicholas J K Breitborde, Sergey Soshnikov, Yukito Shinohara, Randall V. Martin, Michael Brainin, Fernando Perez-Ruiz, Yingfeng Zheng, Santosh Mishra, Julio Cesar Montañez Hernandez, Michael Phillips, Belinda J. Gabbe, Hebe N. Gouda, Ziad A. Memish, Rupert R A Bourne, Guoqing Hu, Emmanuel A. Ameh, Abigail McLain, Michelle L. Bell, Christopher Margono, Marissa Iannarone, Wilkister N. Moturi, Donald H. Silberberg, Carl Abelardo T. Antonio, Nataliya Foigt, Anand Dayama, Yanping Wang, Amanda J. Mason-Jones, Bolajoko O. Olusanya, Monica S. Vavilala, Katherine B Gibney, David Tanne, Sidibe S Kany Roseline, Marcella Montico, Abhishek Singh, Sarah Derrett, Alireza Esteghamati, Seok Jun Yoon, Corine Karema, Rakhi Dandona, David M. Pereira, Kazem Rahimi, Gitanjali M. Singh, Vivekanand Jha, John Hornberger, Anne M. Riederer, Kathryn H. Jacobsen, Andrea Pedroza, Lily Alexander, Fiona M. Blyth, Tommi Vasankari, Kyle J Foreman, Rana J. Asghar, Tilahun Nigatu Haregu, Yousef Khader, Rafael Alfonso-Cristancho, Suzanne Barker-Collo, Lydia S. Atkins, Simerjot K. Jassal, Mohammad Ali Sahraian, Peter Scarborough, Hans W. Hoek, E. Ray Dorsey, Muluken Dessalegn, David C. Schwebel, Gavin Shaddick, Thomas D. Fleming, Mohammad Tavakkoli, Dorairaj Prabhakaran, Mohammad H. Forouzanfar, Christopher C. Mapoma, Jost B. Jonas, Erin C Mullany, Gene F. Kwan, Johanna M. Geleijnse, Antonio Luiz Pinho Ribeiro, Roberto Tchio Talongwa, Tolesa Bekele, Jed D. Blore, Gunn Marit Aasvang, Philimon Gona, Miguel Angel Alegretti, Babak Eshrati, Mitsuru Mukaigawara, Richard F. Gillum, Odgerel Chimed-Ochir, Ubai Alsharif, Richard C. Franklin, Felix Masiye, Richard T. Burnett, Sanjay Krishnaswami, Martin McKee, John J Huang, Lucía Cuevas-Nasu, Wagner Marcenes, Walid Ammar, Knud Juel, Joseph R. Zunt, Martha M Téllez Rojo, Mamta Swaroop, Noela M Prasad, Azmeraw T. Amare, Tim Driscoll, Michael Kravchenko, Heresh Amini, Amir Sapkota, Theo Vos, Charlotte Watts, Dennis Odai Laryea, D. Alex Quistberg, Justin Beardsley, Cheng Huang, Adnan M. Durrani, Sarah V Thackway, Rita Van Dingenen, Manami Inoue, Martha Híjar, Honglei Chen, Amany H. Refaat, Yichong Li, Vineet K. Chadha, Wenzhi Wang, Louisa Degenhardt, Kingsley N. Ukwaja, Nayu Ikeda, James D. Wilkinson, Linh N Bui, Maria Hagströmer, Gonghuan Yang, Ann Kristin Knudsen, David J. Margolis, Soewarta Kosen, Hans Kromhout, Atsushi Goto, Man Mohan Mehndiratta, Thomas N. Williams, Michael Soljak, Yun Jin Kim, Hideaki Toyoshima, Jeyaraj D Pandian, Borja del Pozo-Cruz, Soufiane Boufous, Ivy Shiue, Anders Larsson, Guilherme V. Polanczyk, John Powles, Yara A. Halasa, Robin Room, Ratilal Lalloo, Carolina Batis Ruvalcaba, Panniyammakal Jeemon, Elisabete Weiderpass, Jürgen Rehm, Ejaz Ahmad Khan, Alicia Aleman, Zacharie Tsala Dimbuene, Elena Alvarez, Rachelle Buchbinder, Randah R. Hamadeh, Bryan Hubbell, Sadaf G. Sepanlou, Farhad Islami, Costas A. Christophi, Heidi Stöckl, Ismael R. Campos-Nonato, Nigel Bruce, Edward J Mills, Samuel A L Perry, Taavi Lai, Baffour Awuah, Mete Saylan, Karen J. Courville, Arindam Basu, Vanessa De la Cruz-Góngora, Teresita González de Cosío, Naohiro Yonemoto, Frida Namnyak Ngalesoni, Muluken Azage Yenesew, Atte Meretoja, Michael Brauer, Cyrus Cooper, Giorgia Giussani, Valentina S. Arsic Arsenijevic, Vasiliy Victorovich Vlassov, André Karch, Leilei Duan, Matthew M Coates, Omid Ameli, Gelin Xu, Matthias Endres, Ganesan Karthikeyan, Ione Jayce Ceola Schneider, Mohamed Hsairi, Palwasha Anwari, Mazin J. Al Khabouri, Dariush Mozaffarian, Juan R. Sanabria, Pablo M. Lavados, Sumeet S. Chugh, Johan Ärnlöv, Ivo Rakovac, Maurice Giroud, Haidong Kan, Ibrahim Abdelmageem Mohamed Ginawi, José Luis Texcalac-Sangrador, Luigi Naldi, Erica Leigh Slepak, Deena Alasfoor, James E. Saunders, Richard Matzopoulos, Talal Bakfalouni, Stein Emil Vollset, Andrea Werdecker, Lennert J. Veerman, Lorenzo Monasta, Henrica A. F. M. Jansen, Reyna A Gutiérrez, Brittany Wurtz, Luz Maria Sanchez, Lijing L. Yan, M. Patrice Lindsay, Michele Meltzer, Sanjay Basu, Steven van de Vijver, Alaa Badawi, Thomas Claßen, Young-Ho Khang, Brett M. Kissela, Jun Zhu, In-Hwan Oh, Fiona J Charlson, Maria Cecilia Bahit, Dinorah González-Castell, Rosario Cárdenas, Dan Poenaru, Sayed Saidul Alam, Mitchell T. Wallin, Harish Chander Gugnani, James Leigh, Ferrán Catalá-López, Lidia Morawska, Jim van Os, Stephanie J. London, Kaire Innos, Isabelle Romieu, Fiorella Cavalleri, Adrian Davis, Hwee Pin Phua, Chakib Nejjari, Héctor Gómez Dantés, Boris I. Pavlin, Karen Sliwa, Lynne Gaffikin, Constance D. Pond, Michael F. MacIntyre, Blake Thomson, Norberto Perico, Ronny Westerman, Samantha M. Colquhoun, Michael H. Criqui, Ana Maria Nogales Vasconcelos, Wubegzier Mekonnen, Bulat Idrisov, Ana Basto-Abreu, Andrew G. M. Bulloch, Jasvinder A. Singh, Vinod K. Paul, Emin Murat Tuzcu, Svetlana Popova, Hmwe H Kyu, Richard L. Guerrant, Mohammed I. Albittar, Srikanth Mangalam, Steven E. Lipshultz, Lela Sturua, Semaw Ferede Abera, Eduardo Bernabé, George D. Thurston, Bruno F. Sunguya, Tiffany Ku, Alejandra G. Contreras, Abdullah Sulieman Terkawi, Charles Atkinson, Ashkan Afshin, Heidi J. Larson, Abdullatif Husseini, Jose C. Adsuar, Reza Assadi, Ademola Lukman Adelekan, Joshua A. Salomon, Yousef M. Elshrek, Gokalp Kadri Yentur, Devina Nand, Narayanaswamy Venketasubramanian, Graça Maria Ferreira De Lima, Maheswar Satpathy, Fotis Topouzis, Traolach S. Brugha, Hywel C Williams, Coen H. Van Gool, Andrew H. Kemp, Awoke Misganaw, Amado D Quezada, Norito Kawakami, Bert Brunekreef, Peter Burney, Tati S. Warouw, Jongmin Lee, Inga Dora Sigfusdottir, Marcel Tanner, Solveig A. Cunningham, Benjamin O. Anderson, Tariku Jibat Beyene, Lars Barregard, Xia Wan, Giuseppe Remuzzi, Bernadette Thomas, Lilia S Pedraza, Massimo Cirillo, Alina Rodriguez, Ricky Leung, Farshad Pourmalek, K. Srinath Reddy, Charles D.A. Wolfe, Ulrich O Mueller, Neeraj Bedi, Al Artaman, Lucia Hernandez, Itamar S. Santos, C. Arden Pope, Norlinah Mohamed Ibrahim, Carlo Irwin A. Panelo, Selen Begüm Uzun, Miltiadis K. Tsilimbaris, Anwar Rafay, Daniel Dicker, Melvin Barrientos Marzan, Sajjad Ur Rahman, Mohammed O. Basulaiman, Edgar P. Simard, Mohammad T Mashal, Maysaa El Sayed Zaki, Shiwei Liu, Don C. Des Jarlais, Bo Norrving, Salvador Villalpando, Miia Kivipelto, Yang Liu, Carolina Maria Teixeira, Catalina Medina, Sudha Jayaraman, Josep Maria Haro, Diego De Leo, Angel J Paternina Caicedo, Abigail C. McKay, Eric L. Ding, Mukesh Dherani, Ljiljana Pejin Stokic, Vinay Nangia, Sukanta Saha, Juan Liang, Elisabeth Cardis, Zourkaleini Younoussi, José R Nogueira, Braden Te Ao, Vasco Manuel Pedro Machado, Lionel Racapé, Ting Wu Chuang, Shahab Khatibzadeh, E Filipa de Castro, Barthelemy Kuate Defo, Ulises Trujillo, Alan D. Lopez, Soraya Seedat, Lope H Barrero, Linhong Wang, Daniel Pope, Alexandra Brazinova, Faris Lami, Valentina Colistro, G Anil Kumar, Derek F J Fay, Haidong Wang, Hwashin H. Shin, Raimundas Lunevicius, Suzanne Polinder, Dietrich Plass, David Rojas-Rueda, Stephen S Lim, Tania G Sánchez-Pimienta, K.M. Venkat Narayan, Yuantao Hao, Jung-Chen Chang, Corina Benjet, Seyed-Mohammad Fereshtehnejad, Luciano A. Sposato, Stan Biryukov, Kunihiro Matsushita, Beth E. Ebel, Cleusa P. Ferri, Soumya Swaminathan, K. Ryan Wessells, Gustavo Velasquez-Melendez, Leslie T. Cooper, David O. Carpenter, Nancy Lopez, Bryan L. Sykes, Sandra Nolte, Murray B. Stein, Paul N. Jensen, Fabiola Mejía-Rodríguez, Xiaonong Zou, Bradford D. Gessner, Dhruv S. Kazi, Dragos Virgil Davitoiu, Alejandra Jáuregui, Pouria Heydarpour, Megan Bohensky, Harvey Whiteford, Berrak Bora Basara, Zhengming Chen, Gregory R. Wagner, Paul I. Dargan, Hermann Brenner, Nima Hafezi-Nejad, John Nelson Opio, Scott Weichenthal, Deborah Salvo, Jun She, Tea Lallukka, Carolyn C. Gotay, Stephen G. Waller, Christian Kieling, Shivanthi Balalla, Valery L. Feigin, Qing Lan, Matias Trillini, Adam D M Briggs, Sungroul Kim, Niveen M E Abu-Rmeileh, Renata Micha, Sergey Petrovich Ermakov, Ole Frithjof Norheim, Zulfiqar A Bhutta, Paul S. F. Yip, Grant Nguyen, Ralph L. Sacco, Biju Abraham, Ken Takahashi, Jixiang Ma, Peter A. Meaney, Ayse Abbasoglu Ozgoren, Kimberly Cooperrider, M Rifat Kose, Shams Eldin Ali Hassan Khalifa, Rasmus Havmoeller, Alize J. Ferrari, Kebede Deribe, Nadim E. Karam, George A. Mensah, Bongani M. Mayosi, Konrad Pesudovs, Joanna Moschandreas, Ziad Nahas, James Damsere-Derry, Nsanzimana Sabin, Tonatiuh Barrientos-Gutiérrez, Ying Jiang, Andre Pascal Kengne, Peter Allebeck, Jonas Minet Kinge, Shankuan Zhu, Guy B. Marks, Daniel C Casey, Marco A Avila, Anna Roca, Lalit Dandona, Ami R. Moore, Adansi A. Amankwaa, David Gunnell, Andre Keren, Yohannes Adama Melaku, Nhung T Nguyen, Anthony D. Woolf, Mayuree Rao, Peter J. Allen, Christina Papachristou, Karzan Abdulmuhsin Mohammad, Ravi Kumar Balu, Marie Ng, Marcello Tonelli, Maziar Moradi-Lakeh, Maigeng Zhou, Emmanuela Gakidou, Mohammed K. Ali, Amanda W Pain, Dan J. Stein, Kawkab Shishani, Fortuné Gbètoho Gankpé, Howard J. Hoffman, James Scott, Nadine Steckling, Samia Alhabib, Deborah Jarvis, Kara Estep, Arsène Kouablan Adou, Ricardo Orozco, Holly Hagan, K. C. Astha, Reza Malekzadeh, Klara Dokova, Aliya Naheed, Ernst J. Kuipers, Valeria Caso, Derrick A Bennett, Andrea B. Feigl, Uche S. Uchendu, Holly E. Erskine, Shireen Sindi, Arjun Lakshmana Balaji, Francesco Saverio Violante, Monika Sawhney, Alejandra Cantoral, Ketevan Goginashvili, Raghib Ali, Fan Jiang, Robert G. Weintraub, Homie Razavi, Myriam Tobollik, Howard Hu, Emerito Jose A. Faraon, Irma Khonelidze, Patricia M. Riccio, Eun-Kee Park, Julio Cesar Campuzano, Ibrahim Abubakar, Jürgen C Schmidt, Konstantinos Stroumpoulis, Aref A. Bin Abdulhak, Graeme J. Hankey, Natan M. Bornstein, Mouhanad Hammami, Lee Richardson, Rintaro Mori, Alanur Çavlin, Ruth W Kimokoti, Samir Soneji, Mark J. Nieuwenhuijsen, John Q. Wong, Joseph Frostad, Tom Achoki, Rahman Shiri, Ashish Bhalla, Kurt Straif, Simon I. Hay, Scott B. Patten, Kalpana Balakrishnan, Awoke Misganaw Temesgen, Chandrashekhar T Sreeramareddy, Ryan M Barber, Rosana E. Norman, JianLi Wang, Siyi Shangguan, Luke Nyakarahuka, Kovin Naidoo, Charles D. H. Parry, Mercedes Colomar, H. Ross Anderson, Carlos Magis-Rodriguez, Joan M. Nolla, Muhammad Imran Nisar, Karen Devries, Andrew L. Thorne-Lyman, Denis Nash, Marape Marape, Rajiv Chowdhury, Dima M. Qato, Luca Ronfani, Nobhojit Roy, Daniel Kim, Yuichiro Yano, Luke D. Knibbs, Margaret Robinson, Hilda L Harb, Rogelio Pérez-Padilla, Janet L Leasher, Jonathan L. Wright, Peter Brooks, Cristiana Abbafati, Belinda K Lloyd, Victor Aboyans, Nikhil Tandon, Charles R. Newton, Simón Barquera, Ted R. Miller, Kinnari S. Murthy, Habib Benzian, Glen Mola, Paulo A. Lotufo, Burcu Kucuk Bicer, Peggy Pei-Chia Chiang, Alexander Kraemer, Solomon Meseret Woldeyohannes, Saman Fahimi, Lesley Rushton, Kim Moesgaard Iburg, Vafa Rahimi-Movaghar, Logan Sandar, Bruce Neal, Teresa Shamah Levy, Karen M. Tabb, Jeffrey A. Towbin, Christopher J L Murray, Ramesh Sahathevan, Aaron Cohen, Chanda Kulkarni, Van C. Lansingh, François Alla, Tasara T. Mazorodze, Murugesan Raju, Saeid Shahraz, Uchechukwu K.A. Sampson, Rajeev Gupta, Neil Pearce, Mustafa Z. Younis, Veena S. Kulkarni, Francisco A García-Guerra, Amanda G. Thrift, Stefan Ma, Samaya Ismayilova, Evariste Gasana, Amitava Banerjee, Aslam Pervaiz, Emilie Agardh, Abraham D. Flaxman, Farshad Farzadfar, Peter W. Gething, Ileana Heredia-Pi, Boris Bikbov, Wanqing Chen, Saad B. Omer, Ruben Castro, Neeraj Bhala, Sara Sheikhbahaei, Hilton Lam, Urbano Fra Paleo, Lidia Sanchez-Riera, Alicia Elena Beatriz Lawrynowicz, Kristen Delwiche, Richard G. Ellenbogen, Max Petzold, Yuri Y Varakin, Guilherme Borges, Guohong Jiang, Francis Guillemin, Kyle R. Heuton, Yohannes Kinfu, Victoria F Bachman, Joseph A Wagner, Carlos A Castañeda-Orjuela, Leonardo Trasande, Abbas Ali Mahdi, Josef Coresh, Chuanhua Yu, Kenji Shibuya, Berrin Serdar, Laetitia Huiart, Xiaofeng Liang, Jean de Dieu Ngirabega, Takayoshi Ohkubo, Natalie Stephens, Francis Apolinary Mhimbira, Jefferson Traebert, Amiran Gamkrelidze, Kjetil Søreide, Samath D Dharmaratne, Robert P. Dellavalle, George Mugambage Ruhago, Lakshmi Vijayakumar, Joannie Lortet-Tieulent, Dipan Bose, Tania C Aburto, Saleem M Rana, Miriam Levi, Mohammad Taghi Hedayati, Rodolfo S Pagcatipunan, Ron T. Gansevoort, H. D. Hosgood, Michael Burch, Mohsen Naghavi, Vegard Skirbekk, Ayfer Pekericli, Walter Mendoza, Pengpeng Ye, Gabrielle deVeber, Ali H. Mokdad, David M. Broday, Koranteng Adofo, Zewdie Aderaw Alemu, Shifalika Goenka, Carrie Beth Peterson, Nicolas J. C. Stapelberg, Edson Serván-Mori, Anil Kaul, Foad Abd-Allah, Marek Majdan, Rahul Gupta, Giancarlo Logroscino, Kardiyoloji, Peterson, Carrie B., Laboratoire de Physique des Solides (LPS), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Wisconsin Division of Public Health, Laboratoire de psychologie sociale et de psychologie cognitive (LAPSCO), Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Erosion torrentielle neige et avalanches (UR ETGR (ETNA)), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), London South Bank University, Metropolitan Police Service, Hong Kong Baptist University (HKBU), Institut für Informatik [München/Munich] (LMU), Ludwig-Maximilians-Universität München (LMU), Neuroépidémiologie Tropicale (NET), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Chirurgie Thoracique et Vasculaire - Médecine vasculaire [CHU Limoges], CHU Limoges, Insight Centre for Data Analytics [Galway] (INSIGHT), National University of Ireland [Galway] (NUI Galway), Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université Paris Descartes - Paris 5 (UPD5)-Université de Lorraine (UL), Centre d'Investigation Clinique - Epidemiologie Clinique/essais Cliniques Nancy, Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale (INSERM), Karolinska Institute, karolinska institute, Department of Molecular Biosciences, Department of Molecular Biosciences [Oslo], Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO)-Faculty of Mathematics and Natural Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Centro de Estudios Avanzados en Zonas Aridas (CEAZA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Regional Genetic Service, St Mary's Hospital, Manchester, Laboratoire d'Ingénierie des Matériaux (LIM), Centre National de la Recherche Scientifique (CNRS), Computer Science Department [Bristol], University of Bristol [Bristol], Universität Mannheim [Mannheim], Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) (SRI-B), Computational Science and Engineering Department [Daresbury] (STFC), Science & Technologie Facilities Council, Multimedia Research Center (MRC), University of Alberta, Division of Biostatistics (Biostat - MINNEAPOLIS), University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, University of Southampton, Imperial College London, Neurology Department, Ichilov Medical Center, Interactions, transferts, ruptures artistiques et culturels - EA 6301 (InTRu), Université de Tours, Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Julius Center for Health Sciences and Primary Care, University Medical Center [Utrecht], Risk Assessment Sciences Institute, Utrecht University [Utrecht], Unité de Biologie Fonctionnelle et Adaptative (BFA (UMR_8251 / U1133)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Respiratory Epidemiology and Public Health, Imperial College London-Royal Brompton Hospital-National Heart and Lung Institute [UK], CIBER de Epidemiología y Salud Pública (CIBERESP), STAR laboratory, Stanford University [Stanford], Unité de recherche Virologie et Immunologie Moléculaires (VIM), Institut National de la Recherche Agronomique (INRA), Tennent Institute of Ophthalmology, National University of Singapore (NUS), Centre de Robotique (CAOR), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Multidisciplinary Nanotechnology Centre, Swansea University, Cyprus International Institute for the Environment and Public Health, Harvard School of Public Health, Genomics Research Center, Academia Sinica, Neuro Rehab Services LLP [New Delhi], Department of Signal Theory and Communications (TSC), Univ. Politec. de Catalunya, King‘s College London, Dept. Mat. Engn. De Ma, Sao Carlos, Fed. Univ. Sao Carlos UFSCar, RESPEC (RESPEC), RESPEC, Advanced Laboratories on Embedded Systems [Roma] (ALES), Department of Biology [Miami], University of Miami [Coral Gables], Health Care, Minister Of Labour-Ministry of Labor, Health and Social Affairs, Department of Nephrology, University Medical Center, University of Groningen, Division of Human Nutrition, Wageningen University and Research Centre [Wageningen] (WUR), Spatial Ecology and Epidemiology Group, University of Oxford [Oxford], College of Medicine, University of Hail, Saudi Arabia, Laboratory of Neurologic Diseases, Mario Negri Institute, Milan, Department of Civil Engineering [Hamirpur], National Institute of Technology [Hamirpur], GEMMA — Environmental Engineering and Microbiology Research Group, Department of Hydraulic, Maritime and Environmental Engineering, Universitat Politècnica de Catalunya [Barcelona] (UPC), Department of Biosciences and Nutrition, Karolinska Institutet [Stockholm], Institut National de Recherche et d'Analyse Physico-Chimique (INRAP), Institut National de Recherche et d'Analyse Physico-chimique (Ariana, Tunisie) (INRAP), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences [Tehran] (SBUMS), Shahid Beheshti University-Shahid Beheshti University, Center for Applied Medical Research (CIMA), University of Tehran, Secretariat of the Pacific Community, Public Health Division, Sociétés, Acteurs, Gouvernement en Europe (SAGE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), College of Precision Instrument and Optoelectronics Engineering, Tianjin University, George Washington University (GW), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale (SESSTIM - U912 INSERM - Aix Marseille Univ - IRD), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universiteit Gent [Ghent], Washington State University (WSU), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, School of Computer Science - China University of Geosciences (China University of Geosciences (East Area)), Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Université Catholique de Louvain (UCL), Fachbereich Physik [Berlin], Freie Universität Berlin, Div Cyclotron & Radiopharmaceut Sci (DRDO, INMAS), Univ New Delhi, School of Physics and Astronomy, University of St Andrews [Scotland], University of Cape Town, Department of Neuroscience, Department of Computer Science and Engineering [Daejeon] (Chungnam National University), Lawrence University, Gastroenterology & Hepatology, Tata Research Development and Design Center (TRDDC), TCS Innovation Labs, University of Helsinki, Google Inc [Mountain View], Research at Google, Swedish Defense Research Agency (FOI), Servicio de Neurologia (SANTIAGO - Neurologie), Universidad del Desarrollo, Novartis Pharmaceutical Corporation, Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble [1985-2015] (OSUG [1985-2015]), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Department of Mechanical and Automation Engineering (CAD Laboratory), The Chinese University of Hong Kong [Hong Kong], Università degli studi di Bari, Department of Health and Human Services, National Institutes of Health [Bethesda] (NIH), Centre d'études et de recherche en informatique et communications (CEDRIC), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise (ENSIIE)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), College of Information and Electrical Engineering [Beijing] (CIEE), China Agricultural University (CAU), Thales Research and Technology [Palaiseau], THALES, Department of Rheumatology and Connective Tissue Diseases, Medical University of Lublin, Barts and The London School of Medicine and Dentistry, Queen Mary University of London (QMUL), Centre d'économie de la Sorbonne (CES), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), École supérieure du professorat et de l'éducation - Académie de Grenoble [2013-2019] (ESPE Grenoble [2013-2019]), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Department of Mathematics, University of Iowa [Iowa City], College of Medicine, Alfaisal University, Saudi Ministry of Health, Institut national des recherches agricoles du Bénin, Centre de Recherches agricoles du Sud, Departments of Epidemiology and Nutrition, Unit of Human Nutrition, Agricultural University of Athens, Department of Animal Science, Pennsylvania State University (Penn State), Penn State System-Penn State System, University of Virginia, University of Virginia [Charlottesville], Epidemiology and Biostatistics Unit, Institute for Maternal and Child Health - IRCCS ‘‘Burlo Garofolo', Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Division of Cardiovascular Medicine and Channing Division of Network Medicine, Brigham and Women's Hospital [Boston], American University of Beirut [Beyrouth] (AUB), Department of Chemistry, Scientific Computing Research Unit, Department of dermatology, Milano University-Azienda Ospedaleria Ospedali Riuniti di Bergamo, Mailman School of Public Health, Columbia University [New York], The Georges Institute for International Health, The University of Sydney, Department of epidemiology and Public Health, Faculty of Medicine, Département Optique (OPT), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Universitat Pompeu Fabra [Barcelona], Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona]-Catalunya ministerio de salud, Nutriments Lipidiques et Prévention des Maladies Métaboliques, Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université de la Méditerranée - Aix-Marseille 2, Department of Neurology Lunds University Hospital Lund, Unit of Functional Bionanomaterials, School of Biosciences, University of Birmingham [Birmingham], Electrical Engineering and Computer Science Department - Case Western Reserve University, Case Western Reserve University [Cleveland], World Health Organization, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Nordic School of Public Health, The James Hutton Institute, Horia Hulubei National Institute for Physics and Nuclear Engineering, Department of Pediatrics, University of Washington [Seattle], Institute of Public Health, Department of Physics, Clarendon Laboratory, Center for TeleInFrastruktur (CTIF), Aalborg University [Denmark] (AAU), Physikalisches Institut [Freiburg], Albert-Ludwigs-Universität Freiburg, Savoirs, Textes, Langage (STL) - UMR 8163 (STL), Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Dept.of Computer Science, Indian Institute of Technology Madras (IIT Madras), Istituto Mario Negri Bergamo, Centro Ricerche e Trapianti Villa Camozzi, Universidade Estadual Paulista Júlio de Mesquita Filho [São José do Rio Preto] (UNESP), Laboratoire de Génie Informatique et Ingénierie de Production (LGI2P), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Institut geològic de Catalunya (IGC), Institut Geològic de Catalunya-IGC, Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de la Recherche Agronomique (INRA), Politecnico di Milano [Milan] (POLIMI), Symantec, University of Oviedo, European Microsoft Innovation Center (EMIC), Microsoft Corporation [Redmond, Wash.], Technion - Israel Institute of Technology [Haifa], Laboratoire de Mécanique, Physique et Géosciences (LMPG), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), Department of Physics, Cavendish Laboratory, University of Cambridge [UK] (CAM), Laboratoire de Probabilités et Modèles Aléatoires (LPMA), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université Pierre et Marie Curie - Paris 6 (UPMC), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Departments of Applied Physics [New Haven], Yale University [New Haven], Center for Mathematical Modeling (CMM), Department of Global Health and Development, London School of Hygiene and Tropical Medicine (LSHTM), University of Occupational and Environmental Health [Kitakyushu] (UEOH), Department of Computer Science and Engineering [New Delhi], Indian Institute of Technology Delhi (IIT Delhi), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), GlaxoSmithKline, Imperial College London-Clinical Imaging Center, Universidade Federal de Pernambuco [Recife] (UFPE), Maclean Building, Benson Lane, Crowmarsh Gifford, Centre for Ecology and Hydrology, Nanoscience Institute (NEST), Dipartimento di Fisica, Università di Pisa, Aristotle University of Thessaloniki, Laboratory Of Immune Cell Biology (LICB), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Institute of Human Genetics, Rheinische Friedrich-Wilhelms-Universität Bonn, Laboratorio Nacional de Computação Cientifica [Rio de Janeiro] (LNCC / MCT), Occupational Health Unit, Bologna University Hospital-Sant'Orsola-Malpighi Polyclinic, Royal Institute of Technology [Stockholm] (KTH ), NICTA [Eveleigh], National ICT Australia [Sydney] (NICTA), Division of Solid Mechanics, Lund University [Lund], University of Calgary, BioWare Corp, Manchester Academic Health Sciences Centre, Institut d'Histoire et de Philosophie des Sciences et des Techniques (IHPST), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Ghent University [Belgium] (UGENT), Imaging Sciences and Biomedical Engineering Division [London], Guy's and St Thomas' Hospital [London]-King‘s College London, Children’s Hospital of Philadelphia (CHOP ), Perelman School of Medicine, University of Pennsylvania [Philadelphia], Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA), École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Génie Civil et Mécanique (GeM), Université de Nantes - Faculté des Sciences et des Techniques, Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Department of Physiology, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Neurorestoration Group, Wolfson Centre for Age-related Diseases-King‘s College London, Electronic Navigation Research Institute (ENRI), Ministry of Land, Infrastructure, Transport and Tourism, Department of Computer Science [KAIST] (CS), Korea Advanced Institute of Science and Technology (KAIST), Centre for Undergraduate Studies, University of the Punjab, Siemens Corporate Research, Siemens AG [Munich], University of Massachusetts [Boston] (UMass Boston), University of Massachusetts System (UMASS), Department of Materials Science, Sichuan University [Chengdu] (SCU), Natl Engn Res Ctr Vegetables, Key Lab Biol & Genet Improvement Hort Crops N Chi, Beijing Acad Agr & Forestry Sci, University Hospital Puerta de Hierro, Madrid, Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University (PSL), Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), Shahid Beheshti University of Medical Sciences, École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), MOLTECH-ANJOU (MOLTECH-ANJOU), Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), Universidad de Santiago de Chile [Santiago] (USACH)-Universidad del Desarrollo, Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), École supérieure du professorat et de l'éducation - Académie de Grenoble (ESPE Grenoble), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Grenoble Alpes (UGA), California Institute of Technology (CALTECH)-NASA, Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Sud - Paris 11 (UP11), Université de la Méditerranée - Aix-Marseille 2-Institut National de la Recherche Agronomique (INRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Universidad de Santiago de Chile [Santiago] (USACH), École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), King‘s College London-Wolfson Centre for Age-related Diseases, Sichuan University, Universitat de Barcelona, Interne Geneeskunde, Medische Sociologie, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), Psychiatrie & Neuropsychologie, CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019] (Grenoble INP [2007-2019])-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut Mines-Télécom [Paris] (IMT)-Télécom Bretagne-Université européenne de Bretagne - European University of Brittany (UEB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), RS: MHeNs - R2 - Mental Health, Laboratoire de Physique des Solides ( LPS ), Université Paris-Sud - Paris 11 ( UP11 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de psychologie sociale et de psychologie cognitive ( LAPSCO ), Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Centre National de la Recherche Scientifique ( CNRS ), Erosion torrentielle neige et avalanches ( UR ETGR ), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture ( IRSTEA ), Hong Kong Baptist University ( HKBU ), Institut für Informatik [München/Munich] ( LMU ), Ludwig-Maximilians-Universität München, Neuroépidémiologie Tropicale ( NET ), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Génomique, Environnement, Immunité, Santé, Thérapeutique ( GEIST ), Université de Limoges ( UNILIM ) -Université de Limoges ( UNILIM ), Insight Centre for Data Analytics (National University of Ireland Galway (NUIG)) ( INSIGHT ), Maladies chroniques, santé perçue, et processus d'adaptation ( APEMAC ), Université Paris Descartes - Paris 5 ( UPD5 ) -Université de Lorraine ( UL ), Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale ( INSERM ), University of Oslo ( UiO ) -University of Oslo ( UiO ), Centro de Estudios Avanzados en Zonas Aridas ( CEAZA ), Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Laboratoire d'Ingénierie des Matériaux ( LIM ), Centre National de la Recherche Scientifique ( CNRS ), Lawrence Berkeley National Laboratory [Berkeley] ( LBNL ), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) ( SRI-B ), Computational Science and Engineering Department [Daresbury] ( STFC ), Multimedia Research Center ( MRC ), University of Alberta [Edmonton], Division of Biostatistics ( Biostat - MINNEAPOLIS ), University of Minnesota [Minneapolis], University of Southampton [Southampton], Interactions, transferts, ruptures artistiques et culturels - EA 6301 ( InTRu ), Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), University Medical Center Utrecht, Biologie Fonctionnelle et Adaptative ( BFA ), Imperial College London-Royal Brompton Hospital-National Heart and Lung Institute, Unité de recherche Virologie et Immunologie Moléculaires ( VIM ), Institut National de la Recherche Agronomique ( INRA ), National University of Singapore ( NUS ), Centre de Robotique ( CAOR ), MINES ParisTech - École nationale supérieure des mines de Paris-PSL Research University ( PSL ), Department of Signal Theory and Communications ( TSC ), RESPEC ( RESPEC ), Advanced Laboratories on Embedded Systems [Roma] ( ALES ), Wageningen University and Research Centre [Wageningen] ( WUR ), Universitat Politècnica de Catalunya [Barcelona] ( UPC ), Institut National de Recherche et d'Analyse Physico-Chimique ( INRAP ), Institut National de Recherche et d'Analyse Physico-chimique (INRAP-Tunisie), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) ( FEMTO-ST ), Université de Franche-Comté ( UFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Supérieure de Mécanique et des Microtechniques ( ENSMM ) -Université de Technologie de Belfort-Montbeliard ( UTBM ), Tehran University, Sociétés, Acteurs, Gouvernement en Europe ( SAGE ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), Sciences Economiques et Sociales de la Santé & Traitement de l'Information Médicale ( SESSTIM - U912 INSERM - AMU - IRD ), Institut de Recherche pour le Développement ( IRD ) -Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Washington State University ( WSU ), Laboratoire de Physique de l'ENS Lyon ( Phys-ENS ), École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Institut des Sciences Chimiques de Rennes ( ISCR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Ecole Nationale Supérieure de Chimie de Rennes-Institut National des Sciences Appliquées ( INSA ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche en informatique de Toulouse ( IRIT ), Institut National Polytechnique [Toulouse] ( INP ) -Université Toulouse 1 Capitole ( UT1 ) -Université Toulouse - Jean Jaurès ( UT2J ) -Université Toulouse III - Paul Sabatier ( UPS ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique ( CNRS ), Centre de Recherche en Automatique de Nancy ( CRAN ), Université de Lorraine ( UL ) -Centre National de la Recherche Scientifique ( CNRS ), Université Catholique de Louvain ( UCL ), Freie Universität Berlin [Berlin], Div Cyclotron & Radiopharmaceut Sci ( DRDO, INMAS ), Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Tata Research Development and Design Center ( TRDDC ), Laboratoire MOLTECH-Anjou [Angers] ( MOLTECH ANJOU ), Université d'Angers ( UA ) -Centre National de la Recherche Scientifique ( CNRS ), University of Helsinki [Helsinki], Swedish Defense Research Agency ( FOI ), Servicio de Neurologia ( SANTIAGO - Neurologie ), Universidad de Santiago de Chile [Santiago] ( USACH ) -Universidad del Desarrollo, Novartis Pharmaceutical Corp., East Hanover NJ 07936, USA, Laboratoire de glaciologie et géophysique de l'environnement ( LGGE ), Observatoire des Sciences de l'Univers de Grenoble ( OSUG ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Mechanical and Automation Engineering ( CAD Laboratory ), National Institutes of Health ( NIH ), Centre d'étude et de recherche en informatique et communications ( CEDRIC ), Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise ( ENSIIE ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] ( Heudiasyc ), Université de Technologie de Compiègne ( UTC ) -Centre National de la Recherche Scientifique ( CNRS ), College of Information and Electrical Engineering [Beijing] ( CIEE ), China Agricultural University ( CAU ), Queen Mary University of London ( QMUL ), Centre d'économie de la Sorbonne ( CES ), Université Panthéon-Sorbonne ( UP1 ) -Centre National de la Recherche Scientifique ( CNRS ), Paris School of Economics ( PSE ), École supérieure du professorat et de l'éducation - Académie de Grenoble ( ESPE Grenoble ), Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Université Grenoble Alpes ( UGA ), PennState University [Pennsylvania] ( PSU ), Jet Propulsion Laboratory ( JPL ), NASA-California Institute of Technology ( CALTECH ), American University of Beirut [Beyrouth], The University of Sydney [Sydney], Département Optique ( OPT ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], Laboratoire des signaux et systèmes ( L2S ), Université Paris-Sud - Paris 11 ( UP11 ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ), Center for Research in Environmental Epidemiology ( CREAL ), Université de la Méditerranée - Aix-Marseille 2-Institut National de la Recherche Agronomique ( INRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Center for TeleInFrastruktur ( CTIF ), Aalborg University [Denmark] ( AAU ), Savoirs, Textes, Langage (STL) - UMR 8163 ( STL ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Indian Institute of Technology Madras ( IIT Madras ), Universidade Estadual Paulista Júlio de Mesquita ( UNESP ), Laboratoire de Génie Informatique et Ingénierie de Production ( LGI2P ), IMT - Mines Alès Ecole Mines - Télécom ( IMT - MINES ALES ), Institut geològic de Catalunya ( IGC ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de Physiologie et Génomique des Poissons ( LPGP ), Institut National de la Recherche Agronomique ( INRA ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Politecnico di Milano [Milan], European Microsoft Innovation Center ( EMIC ), Laboratoire de Mécanique, Physique et Géosciences ( LMPG ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ), University of Cambridge [UK] ( CAM ), Laboratoire de Probabilités et Modèles Aléatoires ( LPMA ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Génétique et de Biologie Moléculaire et Cellulaire ( IGBMC ), Université de Strasbourg ( UNISTRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Center for Mathematical Modeling ( CMM ), Universidad de Santiago de Chile [Santiago] ( USACH ), London School of Hygiene and Tropical Medicine ( LSHTM ), University of Occupational and Environmental Health [Kitakyushu] ( UEOH ), Indian Institute of Technology Delhi ( IIT Delhi ), Institut de Recherche sur les Phénomènes Hors Equilibre ( IRPHE ), Aix Marseille Université ( AMU ) -Ecole Centrale de Marseille ( ECM ) -Centre National de la Recherche Scientifique ( CNRS ), Universidade Federal de Pernambuco [Recife] ( UFPE ), Nanoscience Institute ( NEST ), Laboratory Of Immune Cell Biology ( LICB ), JRC Institute for Environment and Sustainability ( IES ), European Commission - Joint Research Centre [Ispra] ( JRC ), Bonn Universität [Bonn], Laboratorio Nacional de Computação Cientifica [Rio de Janeiro] ( LNCC / MCT ), Royal Institute of Technology [Stockholm] ( KTH ), National ICT Australia [Sydney] ( NICTA ), Institut d'Histoire et de Philosophie des Sciences et des Techniques ( IHPST ), Université Panthéon-Sorbonne ( UP1 ) -Département d'Etudes Cognitives - ENS Paris ( DEC ), École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ) -Centre National de la Recherche Scientifique ( CNRS ), Ghent University [Belgium] ( UGENT ), Children’s Hospital of Philadelphia ( CHOP ), Univeristy of Pennsylvania Medical School, Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique ( LHEEA ), École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche en Génie Civil et Mécanique ( GeM ), Université de Nantes ( UN ) -École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Medical College of Georgia, Electronic Navigation Research Institute ( ENRI ), Department of Computer Science [KAIST] ( CS ), Korea Advanced Institute of Science and Technology ( KAIST ), Laboratoire de l'Accélérateur Linéaire ( LAL ), University of Massachusetts [Boston] ( UMass Boston ), Forouzanfar, Mohammad H, Alexander, Lily, Anderson, H. Ro, Bachman, Victoria F, Biryukov, Stan, Brauer, Michael, Burnett, Richard, Casey, Daniel, Coates, Matthew M, Cohen, Aaron, Delwiche, Kristen, Estep, Kara, Frostad, Joseph J, Kc, Astha, Kyu, Hmwe H, Moradi Lakeh, Maziar, Ng, Marie, Slepak, Erica Leigh, Thomas, Bernadette A, Wagner, Joseph, Aasvang, Gunn Marit, Abbafati, Cristiana, Ozgoren, Ayse Abbasoglu, Abd Allah, Foad, Abera, Semaw F, Aboyans, Victor, Abraham, Biju, Abraham, Jerry Puthenpurakal, Abubakar, Ibrahim, Abu Rmeileh, Niveen M. E, Aburto, Tania C, Achoki, Tom, Adelekan, Ademola, Adofo, Koranteng, Adou, Arsène K, Adsuar, José C, Afshin, Ashkan, Agardh, Emilie E, Al Khabouri, Mazin J, Al Lami, Faris H, Alam, Sayed Saidul, Alasfoor, Deena, Albittar, Mohammed I, Alegretti, Miguel A, Aleman, Alicia V, Alemu, Zewdie A, Alfonso Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Ali, Mohammed K, Alla, Françoi, Allebeck, Peter, Allen, Peter J, Alsharif, Ubai, Alvarez, Elena, Alvis Guzman, Nelson, Amankwaa, Adansi A, Amare, Azmeraw T, Ameh, Emmanuel A, Ameli, Omid, Amini, Heresh, Ammar, Walid, Anderson, Benjamin O, Antonio, Carl Abelardo T, Anwari, Palwasha, Cunningham, Solveig Argeseanu, Arnlöv, Johan, Arsenijevic, Valentina S. Arsic, Artaman, Al, Asghar, Rana J, Assadi, Reza, Atkins, Lydia S, Atkinson, Charle, Avila, Marco A, Awuah, Baffour, Badawi, Alaa, Bahit, Maria C, Bakfalouni, Talal, Balakrishnan, Kalpana, Balalla, Shivanthi, Balu, Ravi Kumar, Banerjee, Amitava, Barber, Ryan M, Barker Collo, Suzanne L, Barquera, Simon, Barregard, Lar, Barrero, Lope H, Barrientos Gutierrez, Tonatiuh, Basto Abreu, Ana C, Basu, Arindam, Basu, Sanjay, Basulaiman, Mohammed O, Ruvalcaba, Carolina Bati, Beardsley, Justin, Bedi, Neeraj, Bekele, Tolesa, Bell, Michelle L, Benjet, Corina, Bennett, Derrick A, Benzian, Habib, Bernabé, Eduardo, Beyene, Tariku J, Bhala, Neeraj, Bhalla, Ashish, Bhutta, Zulfiqar A, Bikbov, Bori, Abdulhak, Aref A. Bin, Blore, Jed D, Blyth, Fiona M, Bohensky, Megan A, Başara, Berrak Bora, Borges, Guilherme, Bornstein, Natan M, Bose, Dipan, Boufous, Soufiane, Bourne, Rupert R, Brainin, Michael, Brazinova, Alexandra, Breitborde, Nicholas J, Brenner, Hermann, Briggs, Adam D. M, Broday, David M, Brooks, Peter M, Bruce, Nigel G, Brugha, Traolach S, Brunekreef, Bert, Buchbinder, Rachelle, Bui, Linh N, Bukhman, Gene, Bulloch, Andrew G, Burch, Michael, Burney, Peter G. J, Campos Nonato, Ismael R, Campuzano, Julio C, Cantoral, Alejandra J, Caravanos, Jack, Cárdenas, Rosario, Cardis, Elisabeth, Carpenter, David O, Caso, Valeria, Castañeda Orjuela, Carlos A, Castro, Ruben E, Catalá López, Ferrán, Cavalleri, Fiorella, Çavlin, Alanur, Chadha, Vineet K, Chang, Jung Chen, Charlson, Fiona J, Chen, Honglei, Chen, Wanqing, Chen, Zhengming, Chiang, Peggy P, Chimed Ochir, Odgerel, Chowdhury, Rajiv, Christophi, Costas A, Chuang, Ting Wu, Chugh, Sumeet S, Cirillo, Massimo, Claßen, Thomas Kd, Colistro, Valentina, Colomar, Mercede, Colquhoun, Samantha M, Contreras, Alejandra G, Cooper, Cyru, Cooperrider, Kimberly, Cooper, Leslie T, Coresh, Josef, Courville, Karen J, Criqui, Michael H, Cuevas Nasu, Lucia, Damsere Derry, Jame, Danawi, Hadi, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, Davis, Adrian, Davitoiu, Dragos V, Dayama, Anand, de Castro, E. Filipa, De la Cruz Góngora, Vanessa, De Leo, Diego, de Lima, Graça, Degenhardt, Louisa, Del Pozo Cruz, Borja, Dellavalle, Robert P, Deribe, Kebede, Derrett, Sarah, Jarlais, Don C. De, Dessalegn, Muluken, Deveber, Gabrielle A, Devries, Karen M, Dharmaratne, Samath D, Dherani, Mukesh K, Dicker, Daniel, Ding, Eric L, Dokova, Klara, Dorsey, E. Ray, Driscoll, Tim R, Duan, Leilei, Durrani, Adnan M, Ebel, Beth E, Ellenbogen, Richard G, Elshrek, Yousef M, Endres, Matthia, Ermakov, Sergey P, Erskine, Holly E, Eshrati, Babak, Esteghamati, Alireza, Fahimi, Saman, Faraon, Emerito Jose A, Farzadfar, Farshad, Fay, Derek F. J, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed Mohammad, Ferrari, Alize J, Ferri, Cleusa P, Flaxman, Abraham D, Fleming, Thomas D, Foigt, Nataliya, Foreman, Kyle J, Paleo, Urbano Fra, Franklin, Richard C, Gabbe, Belinda, Gaffikin, Lynne, Gakidou, Emmanuela, Gamkrelidze, Amiran, Gankpé, Fortuné G, Gansevoort, Ron T, García Guerra, Francisco A, Gasana, Evariste, Geleijnse, Johanna M, Gessner, Bradford D, Gething, Pete, Gibney, Katherine B, Gillum, Richard F, Ginawi, Ibrahim A. M, Giroud, Maurice, Giussani, Giorgia, Goenka, Shifalika, Goginashvili, Ketevan, Dantes, Hector Gomez, Gona, Philimon, de Cosio, Teresita Gonzalez, González Castell, Dinorah, Gotay, Carolyn C, Goto, Atsushi, Gouda, Hebe N, Guerrant, Richard L, Gugnani, Harish C, Guillemin, Franci, Gunnell, David, Gupta, Rahul, Gupta, Rajeev, Gutiérrez, Reyna A, Hafezi Nejad, Nima, Hagan, Holly, Hagstromer, Maria, Halasa, Yara A, Hamadeh, Randah R, Hammami, Mouhanad, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Haregu, Tilahun Nigatu, Haro, Josep Maria, Havmoeller, Rasmu, Hay, Simon I, Hedayati, Mohammad T, Heredia Pi, Ileana B, Hernandez, Lucia, Heuton, Kyle R, Heydarpour, Pouria, Hijar, Martha, Hoek, Hans W, Hoffman, Howard J, Hornberger, John C, Hosgood, H. Dean, Hoy, Damian G, Hsairi, Mohamed, Hu, Guoqing, Hu, Howard, Huang, Cheng, Huang, John J, Hubbell, Bryan J, Huiart, Laetitia, Husseini, Abdullatif, Iannarone, Marissa L, Iburg, Kim M, Idrisov, Bulat T, Ikeda, Nayu, Innos, Kaire, Inoue, Manami, Islami, Farhad, Ismayilova, Samaya, Jacobsen, Kathryn H, Jansen, Henrica A, Jarvis, Deborah L, Jassal, Simerjot K, Jauregui, Alejandra, Jayaraman, Sudha, Jeemon, Panniyammakal, Jensen, Paul N, Jha, Vivekanand, Jiang, Fan, Jiang, Guohong, Jiang, Ying, Jonas, Jost B, Juel, Knud, Kan, Haidong, Roseline, Sidibe S. Kany, Karam, Nadim E, Karch, André, Karema, Corine K, Karthikeyan, Ganesan, Kaul, Anil, Kawakami, Norito, Kazi, Dhruv S, Kemp, Andrew H, Kengne, Andre P, Keren, Andre, Khader, Yousef S, Khalifa, Shams Eldin Ali Hassan, Khan, Ejaz A, Khang, Young Ho, Khatibzadeh, Shahab, Khonelidze, Irma, Kieling, Christian, Kim, Daniel, Kim, Sungroul, Kim, Yunjin, Kimokoti, Ruth W, Kinfu, Yohanne, Kinge, Jonas M, Kissela, Brett M, Kivipelto, Miia, Knibbs, Luke D, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kose, M. Rifat, Kosen, Soewarta, Kraemer, Alexander, Kravchenko, Michael, Krishnaswami, Sanjay, Kromhout, Han, Ku, Tiffany, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kuipers, Ernst J, Kulkarni, Chanda, Kulkarni, Veena S, Kumar, G. Anil, Kwan, Gene F, Lai, Taavi, Balaji, Arjun Lakshmana, Lalloo, Ratilal, Lallukka, Tea, Lam, Hilton, Lan, Qing, Lansingh, Van C, Larson, Heidi J, Larsson, Ander, Laryea, Dennis O, Lavados, Pablo M, Lawrynowicz, Alicia E, Leasher, Janet L, Lee, Jong Tae, Leigh, Jame, Leung, Ricky, Levi, Miriam, Li, Yichong, Li, Yongmei, Liang, Juan, Liang, Xiaofeng, Lim, Stephen S, Lindsay, M. Patrice, Lipshultz, Steven E, Liu, Shiwei, Liu, Yang, Lloyd, Belinda K, Logroscino, Giancarlo, London, Stephanie J, Lopez, Nancy, Lortet Tieulent, Joannie, Lotufo, Paulo A, Lozano, Rafael, Lunevicius, Raimunda, Ma, Jixiang, Ma, Stefan, Machado, Vasco M. P, Macintyre, Michael F, Magis Rodriguez, Carlo, Mahdi, Abbas A, Majdan, Marek, Malekzadeh, Reza, Mangalam, Srikanth, Mapoma, Christopher C, Marape, Marape, Marcenes, Wagner, Margolis, David J, Margono, Christopher, Marks, Guy B, Martin, Randall V, Marzan, Melvin B, Mashal, Mohammad T, Masiye, Felix, Mason Jones, Amanda J, Matsushita, Kunihiro, Matzopoulos, Richard, Mayosi, Bongani M, Mazorodze, Tasara T, Mckay, Abigail C, Mckee, Martin, Mclain, Abigail, Meaney, Peter A, Medina, Catalina, Mehndiratta, Man Mohan, Mejia Rodriguez, Fabiola, Mekonnen, Wubegzier, Melaku, Yohannes A, Meltzer, Michele, Memish, Ziad A, Mendoza, Walter, Mensah, George A, Meretoja, Atte, Mhimbira, Francis Apolinary, Micha, Renata, Miller, Ted R, Mills, Edward J, Misganaw, Awoke, Mishra, Santosh, Ibrahim, Norlinah Mohamed, Mohammad, Karzan A, Mokdad, Ali H, Mola, Glen L, Monasta, Lorenzo, Hernandez, Julio C. 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Srinath, Refaat, Amany H, Rehm, Jürgen, Remuzzi, Giuseppe, Ribeiro, Antonio L, Riccio, Patricia M, Richardson, Lee, Riederer, Anne, Robinson, Margaret, Roca, Anna, Rodriguez, Alina, Rojas Rueda, David, Romieu, Isabelle, Ronfani, Luca, Room, Robin, Roy, Nobhojit, Ruhago, George M, Rushton, Lesley, Sabin, Nsanzimana, Sacco, Ralph L, Saha, Sukanta, Sahathevan, Ramesh, Sahraian, Mohammad Ali, Salomon, Joshua A, Salvo, Deborah, Sampson, Uchechukwu K, Sanabria, Juan R, Sanchez, Luz Maria, Sánchez Pimienta, Tania G, Sanchez Riera, Lidia, Sandar, Logan, Santos, Itamar S, Sapkota, Amir, Satpathy, Maheswar, Saunders, James E, Sawhney, Monika, Saylan, Mete I, Scarborough, Peter, Schmidt, Jürgen C, Schneider, Ione J. C, Schöttker, Ben, Schwebel, David C, Scott, James G, Seedat, Soraya, Sepanlou, Sadaf G, Serdar, Berrin, Servan Mori, Edson E, Shaddick, Gavin, Shahraz, Saeid, Levy, Teresa Shamah, Shangguan, Siyi, She, Jun, Sheikhbahaei, Sara, Shibuya, Kenji, Shin, Hwashin H, Shinohara, Yukito, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Sigfusdottir, Inga D, Silberberg, Donald H, Simard, Edgar P, Sindi, Shireen, Singh, Abhishek, Singh, Gitanjali M, Singh, Jasvinder A, Skirbekk, Vegard, Sliwa, Karen, Soljak, Michael, Soneji, Samir, Søreide, Kjetil, Soshnikov, Sergey, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stapelberg, Nicolas J. C, Stathopoulou, Vasiliki, Steckling, Nadine, Stein, Dan J, Stein, Murray B, Stephens, Natalie, Stöckl, Heidi, Straif, Kurt, Stroumpoulis, Konstantino, Sturua, Lela, Sunguya, Bruno F, Swaminathan, Soumya, Swaroop, Mamta, Sykes, Bryan L, Tabb, Karen M, Takahashi, Ken, Talongwa, Roberto T, Tandon, Nikhil, Tanne, David, Tanner, Marcel, Tavakkoli, Mohammad, Te Ao, Braden J, Teixeira, Carolina M, Téllez Rojo, Martha M, Terkawi, Abdullah S, Texcalac Sangrador, José Lui, Thackway, Sarah V, Thomson, Blake, Thorne Lyman, Andrew L, Thrift, Amanda G, Thurston, George D, Tillmann, Taavi, Tobollik, Myriam, Tonelli, Marcello, Topouzis, Foti, Towbin, Jeffrey A, Toyoshima, Hideaki, Traebert, Jefferson, Tran, Bach X, Trasande, Leonardo, Trillini, Matia, Trujillo, Ulise, Dimbuene, Zacharie Tsala, Tsilimbaris, Miltiadi, Tuzcu, Emin Murat, Uchendu, Uche S, Ukwaja, Kingsley N, Uzun, Selen B, van de Vijver, Steven, Van Dingenen, Rita, van Gool, Coen H, van Os, Jim, Varakin, Yuri Y, Vasankari, Tommi J, Vasconcelos, Ana Maria N, Vavilala, Monica S, Veerman, Lennert J, Velasquez Melendez, Gustavo, Venketasubramanian, N, Vijayakumar, Lakshmi, Villalpando, Salvador, Violante, Francesco S, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Wagner, Gregory R, Waller, Stephen G, Wallin, Mitchell T, Wan, Xia, Wang, Haidong, Wang, Jianli, Wang, Linhong, Wang, Wenzhi, Wang, Yanping, Warouw, Tati S, Watts, Charlotte H, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Werdecker, Andrea, Wessells, K. Ryan, Westerman, Ronny, Whiteford, Harvey A, Wilkinson, James D, Williams, Hywel C, Williams, Thomas N, Woldeyohannes, Solomon M, Wolfe, Charles D. A, Wong, John Q, Woolf, Anthony D, Wright, Jonathan L, Wurtz, Brittany, Xu, Gelin, Yan, Lijing L, Yang, Gonghuan, Yano, Yuichiro, Ye, Pengpeng, Yenesew, Muluken, Yentür, Gökalp K, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok Jun, Younis, Mustafa Z, Younoussi, Zourkaleini, Yu, Chuanhua, Zaki, Maysaa E, Zhao, Yong, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Jun, Zhu, Shankuan, Zou, Xiaonong, Zunt, Joseph R, Lopez, Alan D, Vos, Theo, Murray, Christopher J., Cell biology, Epidemiology, Neurosciences, Health Technology Assessment (HTA), Public Health, General practice, Bachman, Victoria F., Coates, Matthew M., Frostad, Joseph J., Astha, K.C., Kyu, Hmwe H., Moradi-Lakeh, Maziar, Thomas, Bernadette A., Abbasoglu Ozgoren, Ayse, Abd-Allah, Foad, Abera, Semaw F., Puthenpurakal Abraham, Jerry, Abu-Rmeileh, Niveen M.E., Aburto, Tania C., Adou, Arsène K., Adsuar, José C., Agardh, Emilie E., Al Khabouri, Mazin J., Al Lami, Faris H., Albittar, Mohammed I., Alegretti, Miguel A., Aleman, Alicia V., Alemu, Zewdie A., Alfonso-Cristancho, Rafael, Ali, Mohammed K., Allen, Peter J., Alvis-Guzman, Nelson, Amankwaa, Adansi A., Amare, Azmeraw T., Ameh, Emmanuel A., Anderson, Benjamin O., Antonio, Carl Abelardo T., Argeseanu Cunningham, Solveig, Arsic Arsenijevic, Valentina S., Asghar, Rana J., Atkins, Lydia S., Avila, Marco A., Bahit, Maria C., Barber, Ryan M., Barker-Collo, Suzanne L., Barrero, Lope H., Barrientos-Gutierrez, Tonatiuh, Basto-Abreu, Ana C., Basulaiman, Mohammed O., Batis Ruvalcaba, Carolina, Bell, Michelle L., Bennett, Derrick A., Beyene, Tariku J., Bhutta, Zulfiqar A., Bin Abdulhak, Aref A., Blore, Jed D., Blyth, Fiona M., Bohensky, Megan A., Bora Başara, Berrak, Bornstein, Natan M., Bourne, Rupert R., Breitborde, Nicholas J., Briggs, Adam D.M., Broday, David M., Brooks, Peter M., Bruce, Nigel G., Brugha, Traolach S., Bui, Linh N., Bulloch, Andrew G., Burney, Peter G.J., Campos-Nonato, Ismael R., Campuzano, Julio C., Cantoral, Alejandra J., Carpenter, David O., Castañeda-Orjuela, Carlos A., Castro, Ruben E., Catalá-López, Ferrán, Chadha, Vineet K., Chang, Jung-Chen, Charlson, Fiona J., Chiang, Peggy P., Chimed-Ochir, Odgerel, Christophi, Costas A., Chuang, Ting-Wu, Chugh, Sumeet S., Claßen, Thomas K.D., Colquhoun, Samantha M., Contreras, Alejandra G., Cooper, Leslie T., Courville, Karen J., Criqui, Michael H., Cuevas-Nasu, Lucia, Damsere-Derry, Jame, Dargan, Paul I., Davitoiu, Dragos V., De Castro, E. Filipa, De La Cruz-Góngora, Vanessa, De Lima, Graça, Del Pozo-Cruz, Borja, Dellavalle, Robert P., Des Jarlais, Don C., Deveber, Gabrielle A., Devries, Karen M., Dharmaratne, Samath D., Dherani, Mukesh K., Ding, Eric L., Driscoll, Tim R., Durrani, Adnan M., Ebel, Beth E., Ellenbogen, Richard G., Elshrek, Yousef M., Ermakov, Sergey P., Erskine, Holly E., Faraon, Emerito Jose A., Fay, Derek F.J., Feigin, Valery L., Feigl, Andrea B., Fereshtehnejad, Seyed-Mohammad, Ferrari, Alize J., Ferri, Cleusa P., Flaxman, Abraham D., Fleming, Thomas D., Foreman, Kyle J., Fra Paleo, Urbano, Franklin, Richard C., Gankpé, Fortuné G., Gansevoort, Ron T., García-Guerra, Francisco A., Geleijnse, Johanna M., Gessner, Bradford D., Gibney, Katherine B., Gillum, Richard F., Ginawi, Ibrahim A.M., Gomez Dantes, Hector, Gonzalez De Cosio, Teresita, González-Castell, Dinorah, Gotay, Carolyn C., Gouda, Hebe N., Guerrant, Richard L., Gugnani, Harish C., Gutiérrez, Reyna A., Hafezi-Nejad, Nima, Halasa, Yara A., Hamadeh, Randah R., Hankey, Graeme J., Harb, Hilda L., Hay, Simon I., Hedayati, Mohammad T., Heredia-Pi, Ileana B., Heuton, Kyle R., Hoek, Hans W., Hoffman, Howard J., Hornberger, John C., Hosgood, H., Hoy, Damian G., Huang, John J., Hubbell, Bryan J., Iannarone, Marissa L., Iburg, Kim M., Idrisov, Bulat T., Jacobsen, Kathryn H., Jansen, Henrica A., Jarvis, Deborah L., Jassal, Simerjot K., Jensen, Paul N., Jonas, Jost B., Kany Roseline, Sidibe S., Karam, Nadim E., Karema, Corine K., Kazi, Dhruv S., Kemp, Andrew H., Kengne, Andre P., Khader, Yousef S., Ali Hassan Khalifa, Shams Eldin, Khan, Ejaz A., Khang, Young-Ho, Kimokoti, Ruth W., Kinge, Jonas M., Kissela, Brett M., Knibbs, Luke D., Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kuipers, Ernst J., Kulkarni, Veena S., Kwan, Gene F., Lakshmana Balaji, Arjun, Lansingh, Van C., Larson, Heidi J., Laryea, Dennis O., Lavados, Pablo M., Lawrynowicz, Alicia E., Leasher, Janet L., Lee, Jong-Tae, Lim, Stephen S., Lipshultz, Steven E., Lloyd, Belinda K., London, Stephanie J., Lortet-Tieulent, Joannie, Lotufo, Paulo A., Machado, Vasco M.P., Macintyre, Michael F., Magis-Rodriguez, Carlo, Mahdi, Abbas A., Mapoma, Christopher C., Margolis, David J., Marks, Guy B., Martin, Randall V., Marzan, Melvin B., Mashal, Mohammad T., Mason-Jones, Amanda J., Mayosi, Bongani M., Mazorodze, Tasara T., Mckay, Abigail C., Meaney, Peter A., Mejia-Rodriguez, Fabiola, Melaku, Yohannes A., Memish, Ziad A., Mensah, George A., Apolinary Mhimbira, Franci, Miller, Ted R., Mills, Edward J., Mohamed Ibrahim, Norlinah, Mohammad, Karzan A., Mokdad, Ali H., Mola, Glen L., Montañez Hernandez, Julio C., Moore, Ami R., Moturi, Wilkister N., Mueller, Ulrich O., Mullany, Erin C., Murthy, Kinnari S., Naidoo, Kovin S., Narayan, K.M. Venkat, Neupane, Sudan P., Newton, Charles R., Ngalesoni, Frida N., Ngirabega, Jean De Dieu, Nguyen, Nhung T., Nieuwenhuijsen, Mark J., Nisar, Muhammad I., Nogueira, José R., Nolla, Joan M., Norheim, Ole F., Norman, Rosana E., Oh, In-Hwan, Olusanya, Bolajoko O., Omer, Saad B., Pagcatipunan, Rodolfo S., Pain, Amanda W., Pandian, Jeyaraj D., Panelo, Carlo Irwin A., Park, Eun-Kee, Parry, Charles D., Paternina Caicedo, Angel J., Patten, Scott B., Paul, Vinod K., Pavlin, Boris I., Pedraza, Lilia S., Pejin Stokic, Ljiljana, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perry, Samuel A.L., Phillips, Michael R., Polanczyk, Guilherme V., Pond, Constance D., Prasad, Noela M., Qato, Dima M., Quezada, Amado D., Quistberg, D. Alex A., Rahimi-Movaghar, Vafa, Ur Rahman, Sajjad, Rana, Saleem M., Refaat, Amany H., Ribeiro, Antonio L., Riccio, Patricia M., Rojas-Rueda, David, Ruhago, George M., Sacco, Ralph L., Salomon, Joshua A., Sampson, Uchechukwu K., Sanabria, Juan R., Sánchez-Pimienta, Tania G., Sanchez-Riera, Lidia, Santos, Itamar S., Saunders, James E., Saylan, Mete I., Schmidt, Jürgen C., Schneider, Ione J.C., Schwebel, David C., Scott, James G., Sepanlou, Sadaf G., Servan-Mori, Edson E., Shamah Levy, Teresa, Shin, Hwashin H., Sigfusdottir, Inga D., Silberberg, Donald H., Simard, Edgar P., Singh, Gitanjali M., Singh, Jasvinder A., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stapelberg, Nicolas J.C., Stein, Dan J., Stein, Murray B., Sunguya, Bruno F., Sykes, Bryan L., Tabb, Karen M., Talongwa, Roberto T., Te Ao, Braden J., Teixeira, Carolina M., Téllez Rojo, Martha M., Terkawi, Abdullah S., Texcalac-Sangrador, José Lui, Thackway, Sarah V., Thorne-Lyman, Andrew L., Thrift, Amanda G., Thurston, George D., Towbin, Jeffrey A., Tran, Bach X., Tsala Dimbuene, Zacharie, Uchendu, Uche S., Ukwaja, Kingsley N., Uzun, Selen B., Van De Vijver, Steven, Van Gool, Coen H., Van Os, Jim, Varakin, Yuri Y., Vasankari, Tommi J., Vasconcelos, Ana Maria N., Vavilala, Monica S., Veerman, Lennert J., Velasquez-Melendez, Gustavo, Venketasubramanian, N., Violante, Francesco S., Victorovich Vlassov, Vasiliy, Wagner, Gregory R., Waller, Stephen G., Wallin, Mitchell T., Warouw, Tati S., Watts, Charlotte H., Weintraub, Robert G., Whiteford, Harvey A., Wilkinson, James D., Williams, Hywel C., Williams, Thomas N., Woldeyohannes, Solomon M., Wolfe, Charles D.A., Wong, John Q., Woolf, Anthony D., Wright, Jonathan L., Yan, Lijing L., Yentür, Gökalp K., Yoon, Seok-Jun, Younis, Mustafa Z., Zaki, Maysaa E., Zunt, Joseph R., Lopez, Alan D., and Temesgen, A.M.

Subjects
Male, Fine particulate matter, Nutrition and Disease, MESH : Sanitation, Health Behavior, Diseases, MESH: Metabolic Diseases, MESH: Global Health, 030204 cardiovascular system & hematology, MESH: Risk Assessment, Global Health, MESH : Nutritional Status, MESH: Occupational Exposure, 0302 clinical medicine, Unsafe Sex, MESH: Risk Factors, Risk Factors, Voeding en Ziekte, Medicine, Air-pollution, MESH : Female, 030212 general & internal medicine, MESH : Risk Assessment, Sanitation, Wasting, 2. Zero hunger, Factors de risc en les malalties, Medicine (all), [ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, MESH : Occupational Diseases, MESH: Nutritional Status, All-cause mortality, MESH : Risk Factors, humanities, Environmental Exposure, Female, Humans, Metabolic Diseases, Nutritional Status, Occupational Diseases, Occupational Exposure, Risk Assessment, Tobacco smoking, 3. Good health, Nutritional Statu, MESH : Occupational Exposure, MESH : Metabolic Diseases, Cohort, medicine.symptom, Risk assessment, Blood-pressure, Human, MESH: Occupational Diseases, Risk factors in diseases, Coronary-heart-disease, MESH : Male, MESH: Health Behavior, MESH: Environmental Exposure, Population health, Body-mass index, 03 medical and health sciences, Household cooking, Cardiovascular-disease, Environmental health, General & Internal Medicine, parasitic diseases, Life Science, MESH: Sanitation, Risk factor, MESH : Health Behavior, VLAG, GBD2013, MESH: Humans, business.industry, Risk Factor, Global Burden of Disease Study, 79 behavioural, environmental and occupational, and metabolic risks, Long-term exposure, MESH : Humans, CAUSE-SPECIFIC MORTALITY, MESH: Male, Metabolic Disease, Occupational Disease, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, MALE BRITISH DOCTORS, Years of potential life lost, Relative risk, Malalties, MESH : Global Health, OUTDOOR AIR-POLLUTION, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, MESH : Environmental Exposure, MESH: Female
Abstract

Summary Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation. Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the fi rst of a series of annual updates of the GBD. Risk factor quantifi cation, particularly of modifi able risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk–outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990–2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the fi rst level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular fi ltration rate. For most risks, data for exposure were synthesised with a Bayesian metaregression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. Findings All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8–58·5) of deaths and 41·6% (40·1–43·0) of DALYs. Risks quantified account for 87·9% (86·5−89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Interpretation Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Funding Bill & Melinda Gates Foundation.

Published
2015

28. Impact of the smoke-free legislation on the incidence and mortality of AMI and stroke in Tianjin China: analysis of routinely collected data

Author

Xia Wan, Mohsen Naghavi, Yang Liu, Hong Xiao, and Gonghuan Yang

Subjects
lcsh:RC705-779, Health (social science), business.industry, Incidence (epidemiology), Public Health, Environmental and Occupational Health, 030508 substance abuse, Medicine (miscellaneous), lcsh:Diseases of the respiratory system, medicine.disease, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, lcsh:RC254-282, WCTOH, 03 medical and health sciences, 0302 clinical medicine, Environmental health, Medicine, 030212 general & internal medicine, cardiovascular diseases, 0305 other medical science, business, China, Stroke, Smoke free legislation, health care economics and organizations
Abstract

Background Comprehensive smoke-free legislation is an effective way to protect the population from the harms of secondhand smoke (SHS) and has been implemented in many countries. Tianjin is one of the few cities in China that have passed smoke-free legislation. We investigated the impact of smoke-free legislation on acute myocardial infarction (AMI) and stroke in Tianjin. Methods An interrupted time series design adjusting for underlying secular trend, seasonal pattern, population size changes and meteorology factors was conducted to analyze the impact of the smoking free law on the weekly incidence and mortality of AMI and stroke. The study period was from January 1, 2007, to December 31, 2015, with a post-ban follow-up of 3.5 years. Results Following the smoke-free law implementation, there was a decline in the annual proportional change for AMI and stroke mortality. A gradual 16% (RR:0.84; 95% CI: 0.83-0.85) decrease per year in AMI mortality among in population ages ≥ 35 years and a gradual 4% (RR:0.96; 95% CI: 0.95-0.98) decrease per year in stroke mortality among 35-64 age group in Tianjin was observed. Post-ban stroke incidence immediate reductions were found in in stroke in 35-64 age group (RR:0.96; 95% CI: 0.95-0.98). AMI incidence immediate reductions were only found in females aged 35-64 (RR:0.71; 95% CI: 0.65-0.78). Conclusions The smoke-free law in Tianjin was associated with gradual reductions in AMI and stroke mortality and immediate reductions in AMI and stroke incidence. The considerably modest and inconsistent effect on AMI and stroke incidence probably reflects the weak law enforcement and limitation of incidence surveillance data in Tianjin. This study reinforces the need for large-scale, effective and comprehensive smoke-free law in China. Funding: This research was supported by China Medical Board (15-208)

Published
2018

29. The association between tobacco use and lung cancer risk: difference caused by smoky coal use

Author

Bofu Ning, Gonghuan Yang, Liqun Liu, Gongbo Chen, Xia Wan, and Xiangyun Ma

Subjects
lcsh:RC705-779, Health (social science), Tobacco use, business.industry, Public Health, Environmental and Occupational Health, Absolute risk reduction, Medicine (miscellaneous), lcsh:Diseases of the respiratory system, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, medicine.disease, lcsh:RC254-282, WCTOH, Environmental health, medicine, Coal, business, Lung cancer
Abstract

Background Xuanwei is one of the towns with highest lung cancer mortality in China. Residents there frequently use smoky coal for domestic cooking and heating. The smoking prevalence there is also high. Methods We conducted a population-based case-control study. 388 lung cancer cases and 388 gender-age-area-matched controls were surveyed. The exposure levels to potential lung cancer risk factors of multi-aspects 10 years ago were collected. After checking Spearman correlations between variables and referring to previous studies, we built conditional logistic regression model adjusting education, family history of malignancy, diet, alcohol consumption, occupational history, housing type and exposure to second hand smoke. We then introduced household annual consumption of smoky coal and total consumption of cigarettes from born to 10 years ago to the model in the form of ordered categorical variable (coal level 1-3: never use, less than 3 tons per year, 3 tons or more per year; tobacco level 1-3: never use, less than 130 thousands cigarettes, 130 thousands or more cigarettes). Results There were 27% and 31.2% ever-smokers in case and control group, respectively. Without interactive item, the effect of tobacco use on lung cancer was (all comparing with level 1, with 95% confidence intervals) level 2: OR=0.90(0.22, 3.67), level 3: OR=1.59(0.45, 5.70). After adding interactive item of coal and tobacco in the model, the effect of tobacco use among people never used smoky coal was level2: OR=1.09(0.09, 13.78), level3: OR=2.20(0.16, 29.44); among people using relatively small amount of coal was level2: OR=0.59(0.03, 11.37), level3: OR=0.18(0.01, 4.82); among people using large amount of coal was level2: OR=0.93(0.32, 2.72), level3: OR=1.78(0.30, 10.67). Household annual amount of smoky coal used, 10 years ago Total consumption of cigarettes from born to 10 years ago (reference group: never smoker) β SE OR(95%CI) Never

Published
2018

31. Body mass index and mortality from lung cancer in smokers and nonsmokers: a nationally representative prospective study of 220,000 men in China

Author

J Boreham, Jun Wang, Margaret Smith, Hui Ge, Gonghuan Yang, Richard Peto, Yi-song Hu, Zhengming Chen, Ling Yang, and Maigeng Zhou

Subjects
Adult, Male, Cancer Research, medicine.medical_specialty, Lung Neoplasms, Population, Body Mass Index, Cohort Studies, medicine, Humans, Prospective Studies, Prospective cohort study, Lung cancer, education, Aged, education.field_of_study, business.industry, Smoking, Confounding, Absolute risk reduction, Cancer, Middle Aged, medicine.disease, Surgery, Oncology, business, Body mass index, Demography, Cohort study
Abstract

The mean baseline BMI was 21.7 kg/m 2 , and 2,145 lung cancer deaths were recorded during 15 years of follow-up. The prevalence of smoking was strongly inversely associated with BMI, but no apparent relationship was seen between amount smoked (or other measures of smoking intensity) and BMI among smokers. Overall there was a strong inverse association between BMI and lung cancer mortality (p < 0.0001 for trend) after excluding the first 3 years of follow-up. This association appeared to be confined mainly to current smokers, with no apparent relationship in nonsmokers (p < 0.001 for difference between slopes). Among current smokers, the inverse association appeared to be log-linear, with each 5 kg/m 2 lower BMI associated with a 35% (95% confidence interval: 24–46%; p < 0.0001) higher lung cancer mortality, and it persisted after excluding those who had reported poor health status or history of any disease or respiratory symptoms at baseline. In this relatively lean Chinese male population, low BMI was strongly associated with increased risk of lung cancer only among current smokers. ' 2009 UICC Lung cancer is among the commonest types of cancer throughout China, causing some 400,000 deaths annually. During the last few decades the disease rate has risen steadily, especially among males, as a consequence of the recent large increase in cigarette consumption. 1,2 Despite the rise in smoking-related diseases, the emerging tobacco hazard in China remains at an early stage due to the delayed effect of increase in cigarette consumption, with only about 12% of male adult deaths being attributed to smoking during the 1990s, a proportion similar to that in the USA during the early 1950s. 3 Currently about two-thirds of men aged 15 or over in China smoke, compared to fewer than 5% of women. 3,4 Although there is little variation in the smoking prevalence between different regions of China, the absolute lung cancer rate varies considerably, with the nonsmoker lung cancer rate in some parts of China being about 10 times greater than that among US nonsmokers. 3 This suggests that factors other than smoking contribute significantly to disease risk in the population. 3,5,6 Several observational studies have examined the relationship between lung cancer and body mass index (BMI), an indirect but useful measure of body fatness. 7‐23 Most of these studies have shown BMI to be inversely associated with the risk of lung cancer, with particularly high excess risk among very lean people (BMI < 18.5 kg/m 2 ). Questions remain, however, about the nature of the association, particularly the relevance to it of smoking. Some studies have attributed the inverse association of BMI and lung cancer risk entirely to incomplete control of confounding by smoking and/or of reverse causality due to pre-existing dis

Published
2018

32. Tobacco Epidemic and Health Risk in the Chinese Population

Author

Gonghuan Yang

Subjects
Estimation, medicine.medical_specialty, business.industry, Mortality rate, Relative risk, Public health, Epidemiology, Medicine, Health risk, Prospective cohort study, China, business, Demography
Abstract

The prevalence of tobacco in Chinese men has peaked since the 1980s. The past 30 years, the smokers start to smoking more and more early, and a half of smokers did before 20 years old in 2010 survey; the prevalence of male smoking only fallen about 10% from 1984 to 2015, did not drop and still over 50% from 2002 to 2015. For female, its prevalence of smoking has been kept very low level. By 2015, after 10 years the entry into force of the Convention, the prevalence of SHS exposure at homes and in the public places were dropped to 46.7 and 54.3%, separately. However, there are still about half of the non smokers at home or in public places suffer from SHS exposure. Reviewing eight case-control or prospective cohort studies in different urban and rural of China from 1980s to 2005. The overall mortality of smokers was significantly greater than that of nonsmokers, relative risk (RRs) are from 1.1 in 1990s rural to 1.65 in 2010 urban. The urban male smokers who had started before age 20 years had twice the never-smoker mortality rate (RR 1.98, 1.79–2.19) and who daily smoked more than 25 cigarettes was closed twice (RR 1.93, 1.75–2.12). Based on these estimation, smoking caused about one million (840,000 male, 130,000 female) deaths in China in 2010. The female tobacco attributable mortality fraction may be over-estimated from GBD2010 study and WHO 2008 study, which is different with the results of all epidemiological studies. GBD study estimated that exposure SHS causes around 159,000 deaths in China in 2010. Although it is need to further approach and deepen for the scientific evidence on secondhand smoke, the current global and Chinese evidences were sufficient for public health intervention.

Published
2018

33. Health Warnings of Cigarette Package in China

Author

Yiqun Wu and Gonghuan Yang

Subjects
education.field_of_study, International Action, Reproduction (economics), Population, Tobacco control, Advertising, Business, Treaty, Packaging and labeling, education, China, Tobacco industry
Abstract

Article 11 has formed the basis for international action to communicate the health risks of tobacco use, and requires each Party to implement within 3 years after ratifying the treaty. The Regulations on Cigarette Packaging and Labeling in the Territories of the People’s Republic of China (the Labeling Regulation) jointly issued and updated by STMA and GAQSIQ in 2008, 2011 and 2016, are the reproduction of STMA’ Research on Counterproposals and Countermeasures against WHO FCTC. This is a typical case of national public power servicing for the interests of tobacco industry. The cigarette package display and assessment study strongly suggested that the Chinese text-only health warnings on cigarette packages are very low effective. By 2016, 105 Parties adopted the graphic warnings on cigarette packaging, covering 58% of the world’s population. China is obviously behind.

Published
2018

35. Comprehensive Ban on Tobacco Advertising, Promotion and Sponsorship

Author

Gonghuan Yang, Lin Xiao, Pinpin Zheng, and Fan Wang

Subjects
education.field_of_study, Point of sale, media_common.quotation_subject, Tobacco control, Population, Advertising, computer.software_genre, Tobacco industry, New media, Product (business), Promotion (rank), Business, education, computer, Social responsibility, health care economics and organizations, media_common
Abstract

Marketing and promotion increase tobacco sales by encouraging current smokers to smoke more and decreasing their motivation to quit. Marketing also encourages potential users, young people specifically to try cigarettes and become long-term customers. The key point of Article 13 of WHO FCTC is to undertake a comprehensive ban all tobacco advertising, promotion and sponsorship (TAPS) within 5 years after ratifying the treaty. The Chinese Advertising Law promulgated in 1994 were obvious deficiencies compared with WHO FCTC. However, tobacco industry has been impeding the revision of national laws to reserve room for TAPS. Eight types of prevalent tobacco advertising in China are summarized: disguised forms of tobacco advertising or promotion in media, outdoor cigarette advertising, the displays at the Point Of Sale, grand scale gathering for brand recommendation and product presentations, tobacco advertising at internet and new media, cigarette packaging as advertising and production and distribution of items that resemble cigarettes such as sweets and toys. The tobacco industry often participates in sponsorship such as education, scientific research, sports, music, cultural, social events and public education campaigns in the name of social responsibility. Over 100 Tobacco Hope primary schools is a typical case. Surveys in 2009–2015 showed extremely high exposure to TAPS among urban population, especially among teenagers. To promote comprehensive ban all forms of TAPS, a lot of public health advocacy campaigns have been carried out over past 10 years. The amended Advertising Law and the other regulations have come into force successively, most form of TAPS have been banned up to 2015.

Published
2018

36. Support for Smokers to Quit

Author

Gonghuan Yang

Subjects
medicine.medical_specialty, Government, business.industry, Hotline, medicine.medical_treatment, Smoking cessation intervention, Medical insurance, Who recommendations, Family medicine, Medicine, Smoking cessation, China, business, Reimbursement
Abstract

In this chapter we review how to implement Article14 of WHO FCTC assisting smokers to quit tobacco use in China. In 2015, the currently smokers run up to 315 million, only 18% ever smokers gave up smoking, but proportion of taking action to quit (quitter and relapse maker) was increasing over 50%, which revealed the tremendous and increasing demand for smoking cessation in China. Chinese government has supported the popularization and establishment of cessation clinics and hotlines, introduced simple smoking cessation intervention techniques, updated guidance in cessation clinics and developed guidance cessation hotline although these strategies and measures are need to be further improved. However, why a few people visit the smoking cessation clinic in China with great demand for smoking cessation? The fundamental reasons are related to that Chinese government have not integrated tobacco dependence diagnosis, treatment and counseling into their health-care systems, especially into the primary medical service. Also the costs of quitting services and treatment are totally not covered with the medical insurance plan or by public funding or reimbursement schemes. Chinese government should adjust the current cessation strategy and take effective measures on the WHO recommendations approach of offering quit help, to promote cessation of smokers and adequate treatment for tobacco dependence.

Published
2018

37. International Assistance and Tobacco Control in China

Author

Gonghuan Yang

Subjects
medicine.medical_specialty, Economic growth, Loan, Political science, Public health, Tobacco control, medicine, International community, Professional association, Legislation, China, health care economics and organizations, Social marketing
Abstract

Since 1980s, the tobacco control campaign has been supported by financial assistance of international community. Tobacco control donation from major American foundations has increased considerably after China ratified the WHO FCTC in 2006. The research grants are to support the study of health risk of tobacco use, prevalence pattern of smoking and secondhand smoke exposure (SHS), as well as policy assessment of tobacco control. Next, tobacco control as a significant public health measure was introduced project activities in an early health loan of the World Bank. For the past century, such distinguished philanthropies as the Rockefeller foundation (China Medical Board), Ford Foundations have pioneered many fields in China, especially in medicine. The Bloomberg Initiative (BI) Grants and the Bill & Melinda Gates Foundations provided the biggest support for tobacco control in China. During 2007–2016, BI grant has provided 21.4 million US$ fund to China for tobacco control with 96 projects for national professional organization, local agency of tobacco control, university and non-government organization (NGO). The Grant supported to promote national and local tobacco control legislation, including 100% smoke free environments in project cities, and so on. The Bill and Melinda Gates Foundation continues to provide more than $34 million (US) to support policy interventions, social marketing and building the evidence base in tobacco control in China. Meanwhile, it is important for tobacco control community should consider how to promote domestic charitable donations to tobacco control.

Published
2018

38. Monitoring Tobacco Use and Implementation of Tobacco Control Policies in China

Author

Gonghuan Yang, Xia Wan, and Jason Hsia

Subjects
Data sharing, Economic growth, Tobacco use, business.industry, Tobacco control, Distribution (economics), National level, Business, China, Tobacco industry, Tobacco Surveillance
Abstract

The development and sustainment of a comprehensive tobacco-use surveillance system is critical to support its national plans, priorities, and programs, as well as an obligation for the WHO FCTC’s Parties. We discussed methodology used in China’ tobacco surveillance, including sample design, module and questionnaire, along with the indicators and analysis methodology for policy performance assessment. China updated the surveillance data almost every 5 years with the similar indicators; results from the five national adult surveys and 2014 youth survey provided the trend and distribution of tobacco use at national level. Prevalence of tobacco use in China did not change a lot more than 10 years after WHO FCTC came in force in 2005, decreasing 1% and hovering around 27%. The tobacco control policies implementation was very poor in China during this period: the average score for the implementation of the five key policies of MPOWER assessment was 37.3 points based on 2010 GATS-China. The current system can’t effectively monitor the tobacco industry and has trouble with data sharing and data use, therefore, the surveillance system on tobacco is need to further improvement in China. In addition, the regular funding is shortage and capacity for surveillance is still limited, especially in local level.

Published
2018

39. Introduction: China and the Negotiation of WHO FCTC

Author

Gonghuan Yang

Subjects
Economic growth, medicine.medical_specialty, Government, business.industry, WHO Framework Convention on Tobacco Control, Public health, education, Tobacco control, International health, International law, humanities, Globalization, Political science, medicine, China, business, health care economics and organizations
Abstract

This chapter, as the introduction of the book “Tobacco Control in China”, described the response to the tobacco use pandemic from international public health community so as to understand the tobacco control in China by the international perspective. Tobacco use pandemic is a global problem and must be solved at the global level. It cannot be solved by traditional public health strategy, but should be solved based on the international law at the legal level! WHO Framework Convention on Tobacco Control (WHO FCTC) is the important weapon responding the tobacco pandemic under the Globalization. However, the attitudes and actions of the Chinese government during the negotiations on the WHO FCTC have shown that China’s more pursuit of international recognition beyond pursuit of public health and safety, has presaged the setback of the implementation of WHO FCTC in China. Thirdly, the brief review of the tremendous progress made by the most Parties of WHO FCTC over the last 10 years reflects the status of China’s tobacco control described in the following chapters as a mirror.

Published
2018

40. Spatiotemporal analysis of PM

Author

Yanhong, Wang, Mengmeng, Li, Xia, Wan, Yuanyuan, Sun, Kailiang, Cheng, Xinyu, Zhao, Yuan, Zheng, Gonghuan, Yang, and Li, Wang

Subjects
Adult, Aged, 80 and over, Male, Pancreatic Neoplasms, Air Pollutants, China, Spatio-Temporal Analysis, Air Pollution, Humans, Female, Particulate Matter, Middle Aged, Aged
Abstract

Previous studies have reported that the development of pancreatic cancer (PC) may be associated with environment pollution. But the relationship between ambient air pollution and PC remains unclear.This study aimed to examine the association between PC mortality and exposure of fine particular matter.We used PC mortality data from 103 continuous points in national Disease Surveillance Point system from 1991 to 2009 in China. The annual concentrations of PMThe relative risks of PC mortality related to 10 μg/mAmbient PM

Published
2017

41. Tobacco Control in China

Author

Gonghuan Yang and Gonghuan Yang

Subjects
Medical policy, Tobacco--Taxation--China, Tobacco--Law and legislation--China
Abstract

This book comprehensively covers the science and policy issues relevant to one of the major public health issues in China. It pulls together the prevalence pattern of tobacco use in different population and burden of the myriad of tobacco-related diseases. The book pays more attention to review the successes and failures of tobacco control policies in China, including the protect peoples from second-hand smoke, comprehensive banning tobacco advertisement promotion and sponsor, regulation of the contents of tobacco products and low tar cigarettes, warn about the dangers of tobacco, support for smokers to quit, and increasing tobacco taxation and price, as well as monitor and assessment on tobacco use and implement of prevention policy under the international background of tobacco control.The book analyse and explain the influence factors, especially interference from tobacco industry with public management theory frame for promoting tobacco control policies and looks at lessons learnt to help set health policy for reducing the burden of tobacco-related diseases. It is a helpful reference for experts in public health and epidemiologists in tobacco control, advocators and policy maker.

Published
2018

42. Traffic-related air pollution and lung cancer: A meta-analysis

Author

Xia Wan, Gongbo Chen, Gonghuan Yang, and Xiaonong Zou

Subjects
Pulmonary and Respiratory Medicine, Operations research, business.industry, Incidence (epidemiology), Air pollution, General Medicine, Strengthening the reporting of observational studies in epidemiology, medicine.disease, medicine.disease_cause, Checklist, Confidence interval, chemistry.chemical_compound, Oncology, chemistry, Meta-analysis, Environmental health, medicine, Nitrogen dioxide, Lung cancer, business
Abstract

Background We conducted a meta-analysis to evaluate the association between traffic-related air pollution and lung cancer in order to provide evidence for control of traffic-related air pollution. Methods Several databases were searched for relevant studies up to December 2013. The quality of articles obtained was evaluated by the Strengthening the Reporting of Observational Studies in Epidemiology checklist. Statistical analysis, including pooling effective sizes and confidential intervals, was performed. Results A total of 1106 records were obtained through the database and 36 studies were included in our analysis. Among the studies included, 14 evaluated the association between ambient exposure to traffic-related air pollution and lung cancer and 22 studies involved occupational exposure to air pollution among professional drivers. Twenty-two studies were marked A level regarding quality, 13 were B level, and one was C level. Exposure to nitrogen dioxide (meta-odds ratio [OR]: 1.06, 95% confidence interval [CI]: 0.99–1.13), nitrogen oxide (meta-OR: 1.04, 95% CI: 1.01–1.07), sulfur dioxide (meta-OR: 1.03, 95% CI: 1.02–1.05), and fine particulate matter (meta-OR: 1.11, 95% CI: 1.00–1.22) were positively associated with a risk of lung cancer. Occupational exposure to air pollution among professional drivers significantly increased the incidence (meta-OR: 1.27, 95% CI: 1.19–1.36) and mortality of lung cancer (meta-OR: 1.14, 95% CI: 1.04–1.26). Conclusion Exposure to traffic-related air pollution significantly increased the risk of lung cancer.

Published
2015

43. Characterisation of gastric cancer and its relation to environmental factors: a case study in Shenqiu County, China

Author

Dafang Zhuang, Duanyang Xu, Xiaoming Shi, Gonghuan Yang, Jianwei Xu, and Hongyan Ren

Subjects
Adult, Male, China, medicine.medical_specialty, Health, Toxicology and Mutagenesis, Disease, Environment, 010501 environmental sciences, 01 natural sciences, Retrospective data, 03 medical and health sciences, 0302 clinical medicine, Stomach Neoplasms, Environmental health, Epidemiology, medicine, Humans, 030212 general & internal medicine, Aged, Retrospective Studies, 0105 earth and related environmental sciences, Aged, 80 and over, Population Density, Cancer mortality, Spatial Analysis, business.industry, digestive, oral, and skin physiology, Public Health, Environmental and Occupational Health, Cancer, GCM transcription factors, General Medicine, Middle Aged, medicine.disease, Pollution, humanities, digestive system diseases, Female, business
Abstract

This article presents the results of spatial analysis of gastric cancer and its relation to environmental conditions in Shenqiu County, China. Retrospective data on gastric cancer mortality (GCM) were analysed at various spatial scales, with its relation to environmental factors explored at an appropriate scale. The results considered 2 × 2 km(2) grid as the optimal level for characterising GCM due to the highest Moran's I (I = 0.68, p 0.01). Then, three clustering regions were clearly identified. Meanwhile, GCM was obviously associated with topography (r = -0.11, p 0.10), farmland (r = 0.11, p 0.10), population density (r = 0.10, p 0.10) and river density (r = 0.11, p 0.10) in the buffered zones. It indicates that spatial grid technique is suitable for characterising GCM in Shenqiu County, and that GCM was geographically associated with environmental conditions. We suggest that preventive measures for controlling the environment-related malignant neoplasm should not be limited in the regions suffering from this disease but be reasonably extended to surrounding areas.

Published
2015

44. Association between Changing Mortality of Digestive Tract Cancers and Water Pollution: A Case Study in the Huai River Basin, China

Author

Gonghuan Yang, Jianwei Xu, Xiaoming Shi, Xia Wan, Fei Yang, Hongyan Ren, and Dafang Zhuang

Subjects
Biochemical oxygen demand, Pollution, China, Health, Toxicology and Mutagenesis, media_common.quotation_subject, Population, Drainage basin, increasing mortality, lcsh:Medicine, Digestive System Neoplasms, Gross domestic product, Article, Rivers, Environmental health, Water Quality, Water Pollution, Chemical, Humans, Water pollution, education, media_common, Biological Oxygen Demand Analysis, education.field_of_study, geography, water pollution, geography.geographical_feature_category, digestive tract cancers, Drinking Water, lcsh:R, Chemical oxygen demand, Public Health, Environmental and Occupational Health, Huai River Basin, Environmental science, Water quality, drinking water safety, Water Pollutants, Chemical
Abstract

The relationship between the ever-increasing cancer mortality and water pollution is an important public concern in China. This study aimed to explore the association between serious water pollution and increasing digestive cancer mortality in the Huai River Basin (HRB) in China. A series of frequency of serious pollution (FSP) indices including water quality grade (FSPWQG), biochemical oxygen demand (FSPBOD), chemical oxygen demand (FSPCOD), and ammonia nitrogen (FSPAN) were used to characterize the surface water quality between 1997 and 2006. Data on the county-level changing mortality (CM) due to digestive tract cancers between 1975 and 2006 were collected for 14 counties in the study area. Most of investigated counties (eight) with high FSPWQG (&gt, 50%) distributed in the northern region of the HRB and had larger CMs of digestive tract cancers. In addition to their similar spatial distribution, significant correlations between FSP indices and CMs were observed by controlling for drinking water safety (DWS), gross domestic product (GDP), and population (POP). Furthermore, the above-mentioned partial correlations were clearly increased when only controlling for GDP and POP. Our study indicated that county-level variations of digestive cancer mortality are remarkably associated with water pollution, and suggested that continuous measures for improving surface water quality and DWS and hygienic interventions should be effectively implemented by local governments.

Published
2014

45. Mortality trends for ischemic heart disease in China: an analysis of 102 continuous disease surveillance points from 1991 to 2009

Author

Gonghuan Yang, Enbo Ma, Hongyan Ren, and Xia Wan

Subjects
Gerontology, Disease surveillance points, medicine.medical_specialty, Ischemic heart disease, Population, Blood lipids, 030204 cardiovascular system & hematology, Standard of living, 03 medical and health sciences, 0302 clinical medicine, Epidemiology, Medicine, 030212 general & internal medicine, education, education.field_of_study, Disease surveillance, business.industry, Mortality rate, lcsh:Public aspects of medicine, Public Health, Environmental and Occupational Health, lcsh:RA1-1270, Rural area, Biostatistics, business, Demography, Research Article
Abstract

Background In the past 20 years, the trends of ischemic heart disease (IHD) mortality in China have been described in divergent claims. This research analyzes mortality trends for IHD by using the data from 102 continuous Disease Surveillance Points (DSP) from 1991 to 2009. Method The 102 continuous DSP covered 7.3 million people during the period 1991–2000, and then were expanded to a population of 52 million in the same areas for 2004–2009. The data were adjusted by using garbage code redistribution and underreporting rate, mapped from international classification of diseases ICD-9 to ICD-10. The mortality rates for IHD were further adjusted by the crude death proportion multiplied by the total number of deaths in the mortality envelope, which was calculated by using logrt = a + bt. Age-standard death rates (ASDRs) were computed using China’s 2010 census population structure. Trend in IHD was calculated from ASDRs by using a joinpoint regression model. Results The IHD ASDRs increased in total in regions with an average annual percentage change (AAPC) 4.96%, especially for the Southwest (AAPC = 7.97%) and Northeast areas (AAPC = 7.10%), and for male and female subjects (with 5% AAPC) as well. In rural areas, the year 2000 was a cut-off point for mortality rate with annual percentage change increasing from 3.52% in 1991–2000 to 9.02% in 2000–2009, which was much higher than in urban areas (AAPC = 1.05%). And the proportion of deaths increased in older adults, and more male deaths occurred before age 60 compared to female deaths. Conclusion By observing a wide range of areas across China from 1991 to 2009, this paper concludes that the ASDR trend for IHD increased. These trends reflect changes in the Chinese standard of living and lifestyle with diets higher in fat, higher blood lipids and increased body weight. Electronic supplementary material The online version of this article (doi:10.1186/s12889-017-4558-3) contains supplementary material, which is available to authorized users.

Published
2017

46. Comment on 'Mortality effects assessment of ambient PM

Author

Liqun, Liu, Xia, Wan, and Gonghuan, Yang

Subjects
Air Pollutants, China, Air Pollution, Particulate Matter, Cities
Abstract

In a recent publication in the journal Science of the Total Environment, Die Fang et al. (2016) reported health effects of current ambient PM

Published
2017

48. Additional file 1: of Mortality trends for ischemic heart disease in China: an analysis of 102 continuous disease surveillance points from 1991 to 2009

Author

Wan, Xia, Hongyan Ren, Enbo Ma, and Gonghuan Yang

Subjects
ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS, Hardware_ARITHMETICANDLOGICSTRUCTURES, Hardware_REGISTER-TRANSFER-LEVELIMPLEMENTATION
Abstract

The Characteristics of 102 DSP Points. There were four variables in this table, including the DSPs name, regions where each DSP belongs to, population for each DSP in 1991 and 2009 respectively. (DOCX 49 kb)

Published
2017
Full Text
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49. Health outcomes and socio-economic status among the mid-aged and elderly in China: Evidence from the CHARLS national baseline data

Author

Yaohui Zhao, Gonghuan Yang, Xiaoyan Lei, Perry Hu, Yisong Hu, Xiangjun Yin, Xiaoting Sun, and John Strauss

Subjects
Economics and Econometrics, business.industry, Developing country, Overweight, medicine.disease, Health indicator, Article, Malnutrition, Overnutrition, Environmental health, Medicine, medicine.symptom, Underweight, business, China, Life-span and Life-course Studies, Socioeconomic status
Abstract

Using a very rich set of health indicators that include both self-reported measures and biomarkers from the CHARLS national baseline data, we document health conditions of the Chinese mid-aged and elderly, examine correlations between these health outcomes and socio-economic status and compare these associations by gender, hukou status and region. As expected, we find that Chinese mid-aged and elderly are facing challenges from chronic diseases including hypertension. Overnutrition has become a bigger problem than undernutrition, particularly for women, reflected in a higher rate of overweight compared to underweight. Disability rates are also high, especially for female, rural and inland respondents, who also report suffering from more pain than male, urban and coastal ones. In general, education and PCE tend to be positively correlated with better health outcomes, as it is in other countries. For PCE the relationship is very nonlinear. At low levels of PCE, there exists a positive correlation with better health outcomes, while for higher levels of PCE the relationship flattens out. Unmeasured community influences turn out to be highly important, much more so than one usually finds in other countries. We also find a large degree of under-diagnosis of hypertension, a major health problems that afflicts the aged, although less large than in some other developing countries. This implies that the current health system is still not well prepared to address the rapid aging of the Chinese population.

Published
2014

50. Comment on 'Mortality effects assessment of ambient PM2.5 pollution in the 74 leading cities of China' by Die Fang, Qin'geng Wang, Huiming Li, Yiyong Yu, Yan Lu, Xin Qian

Author

Liqun Liu, Gonghuan Yang, and Xia Wan

Subjects
Pollution, 021110 strategic, defence & security studies, Environmental Engineering, Surveillance data, History, Welfare economics, media_common.quotation_subject, 0211 other engineering and technologies, 02 engineering and technology, 010501 environmental sciences, Health outcomes, 01 natural sciences, Linear relationship, Fang, Environmental Chemistry, China, Waste Management and Disposal, Health impact assessment, Air quality index, 0105 earth and related environmental sciences, media_common
Abstract

In a recent publication in the journal Science of the Total Environment, Die Fang et al. (2016) reported health effects of current ambient PM2.5 (particulate matters with aerodynamic diameters

Published
2018

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