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Background: The digital economy based on the internet and IT is developing rapidly in China, which makes a profound impact on urban environmental quality and residents' health activities. Thus, this study introduces environmental pollution as a mediating variable based on Grossman's health production function to explore the impact of digital economic development on the health of the population and its influence path. Methods: Based on the panel data of 279 prefecture-level cities in China from 2011 to 2017, this paper investigates the acting mechanism of digital economic development on residents' health by employing a combination of mediating effects model and spatial Durbin model. Results: The development of digital economy makes direct improvement on residents' health condition, which is also obtained indirectly by means of environmental pollution mitigation. Besides, from the perspective of spatial spillover effect, the development of digital economy also has a significant promoting effect on the health of adjacent urban residents, and further analysis reveals that the promoting effect in the central and western regions of China is more pronounced than that in the eastern region. Conclusions: Digital economy can have a direct promoting effect on the health of residents, and environmental pollution has an intermediary effect between digital economy and residents' health; At the same time, there is also a regional heterogeneity among the three relationships. Therefore, this paper believes that the government should continue to formulate and implement scientific digital economy development policies at the macro and micro levels to narrow the regional digital divide, improve environmental quality and enhance the health level of residents. [ABSTRACT FROM AUTHOR]

Background: The purpose of this paper is to study how the Delta variant spread in a China city, and to what extent the non-pharmaceutical prevention measures of local government be effective by reviewing the contact network of COVID-19 cases in Xi'an, China. Methods: We organize the case reports of the Shaanxi Health Commission into a database by text coding and convert them into a network matrix. Then we construct a dynamic contact network for the corresponding analysis and calculate network indicators. we analyze the cases' dynamic contact network structure and intervals between diagnosis time and isolation time by using data visualization, network analysis method, and Ordinary Least Square (OLS) regression. Results: The contact network for this outbreak in Xi'an is very sparse, with a density of less than 0.0001. The contact network is a scale-free network. The average degree centrality is 0.741 and the average PageRank score is 0.0005. The network generated from a single source of infection contains 1371 components. We construct three variables of intervals and analyze the trend of intervals during the outbreak. The mean interval (interval 1) between case diagnosis time and isolation time is − 3.9 days. The mean of the interval (interval 2) between the infector's diagnosis time and the infectee's diagnosis time is 4.2 days. The mean of the interval (interval 3) between infector isolation time and infectee isolation time is 2.9 days. Among the three intervals, only interval 1 has a significant positive correlation with degree centrality. Conclusions: By integrating COVID-19 case reports of a Chinese city, we construct a contact network to analyze the dispersion of the outbreak. The network is a scale-free network with multiple hidden pathways that are not detected. The intervals of patients in this outbreak decreased compared to the beginning of the outbreak in 2020. City lockdown has a significant effect on the intervals that can affect patients' network centrality. Our study highlights the value of case report text. By linking different reports, we can quickly analyze the spread of the epidemic in an urban area. [ABSTRACT FROM AUTHOR]

Background: Dengue fever (DF) has emerged as a significant public health concern in China. The spatiotemporal patterns and underlying influencing its spread, however, remain elusive. This study aims to identify the factors driving these variations and to assess the city-level risk of DF epidemics in China. Methods: We analyzed the frequency, intensity, and distribution of DF cases in China from 2003 to 2022 and evaluated 11 natural and socioeconomic factors as potential drivers. Using the random forest (RF) model, we assessed the contributions of these factors to local DF epidemics and predicted the corresponding city-level risk. Results: Between 2003 and 2022, there was a notable correlation between local and imported DF epidemics in case numbers (r = 0.41, P < 0.01) and affected cities (r = 0.79, P < 0.01). With the increase in the frequency and intensity of imported epidemics, local epidemics have become more severe. Their occurrence has increased from five to eight months per year, with case numbers spanning from 14 to 6641 per month. The spatial distribution of city-level DF epidemics aligns with the geographical divisions defined by the Huhuanyong Line (Hu Line) and Qin Mountain-Huai River Line (Q-H Line) and matched well with the city-level time windows for either mosquito vector activity (83.59%) or DF transmission (95.74%). The RF models achieved a high performance (AUC = 0.92) when considering the time windows. Importantly, they identified imported cases as the primary influencing factor, contributing significantly (24.82%) to local DF epidemics at the city level in the eastern region of the Hu Line (E–H region). Moreover, imported cases were found to have a linear promoting impact on local epidemics, while five climatic and six socioeconomic factors exhibited nonlinear effects (promoting or inhibiting) with varying inflection values. Additionally, this model demonstrated outstanding accuracy (hitting ratio = 95.56%) in predicting the city-level risks of local epidemics in China. Conclusions: China is experiencing an increasing occurrence of sporadic local DF epidemics driven by an unavoidably higher frequency and intensity of imported DF epidemics. This research offers valuable insights for health authorities to strengthen their intervention capabilities against this disease. [ABSTRACT FROM AUTHOR]

Background: There is a dearth of research combining geographical big data on medical resource allocation and growth with various statistical data. Given the recent achievements of China in economic development and healthcare, this study takes China as an example to investigate the dynamic geographical distribution patterns of medical resources, utilizing data on healthcare resources from 290 cities in China, as well as economic and population-related data. The study aims to examine the correlation between economic growth and spatial distribution of medical resources, with the ultimate goal of providing evidence for promoting global health equity. Methods: The data used in this study was sourced from the China City Statistical Yearbook from 2001 to 2020. Two indicators were employed to measure medical resources: the number of doctors per million population and the number of hospital and clinic beds per million population. We employed dynamic convergence model and fixed-effects model to examine the correlation between economic growth and the spatial distribution of medical resources. Ordinary least squares (OLS) were used to estimate the β values of the samples. Results: The average GDP for all city samples across all years was 36,019.31 ± 32,029.36, with an average of 2016.31 ± 1104.16 doctors per million people, and an average of 5986.2 ± 6801.67 hospital beds per million people. In the eastern cities, the average GDP for all city samples was 47,672.71 ± 37,850.77, with an average of 2264.58 ± 1288.89 doctors per million people, and an average of 3998.92 ± 1896.49 hospital beds per million people. Cities with initially low medical resources experienced faster growth (all β < 0, P < 0.001). The long-term convergence rate of the geographic distribution of medical resources in China was higher than the short-term convergence rate (|βi + 1| > |βi|, i = 1, 2, 3, ..., 9, all β < 0, P < 0.001), and the convergence speed of doctor density exceeded that of bed density (bed: |βi| >doc: |βi|, i = 3, 4, 5, ..., 10, P < 0.001). Economic growth significantly affected the convergence speed of medical resources, and this effect was nonlinear (doc: βi < 0, i = 1, 2, 3, ..., 9, P < 0.05; bed: βi < 0, i = 1, 2, 3, ..., 10, P < 0.01). The heterogeneity between provinces had a notable impact on the convergence of medical resources. Conclusions: The experiences of China have provided significant insights for nations worldwide. Governments and institutions in all countries worldwide, should actively undertake measures to actively reduce health inequalities. This includes enhancing healthcare standards in impoverished regions, addressing issues of unequal distribution, and emphasizing the examination of social determinants of health within the domain of public health research. [ABSTRACT FROM AUTHOR]

Background: Brucellosis poses a significant public health concern. This study explores the spatial and temporal dynamic evolution of human brucellosis in China and analyses the spatial heterogeneity of the influencing factors related to the incidence of human brucellosis at the provincial level. Methods: The Join-point model, centre of gravity migration model and spatial autocorrelation analysis were employed to evaluate potential changes in the spatial and temporal distribution of human brucellosis in mainland China from 2005 to 2021. Ordinary Least Squares (OLS), Geographically Weighted Regression (GWR), and Multi-scale Geographically Weighted Regression (MGWR) models were constructed to analyze the spatial and temporal correlation between the incidence rate of human brucellosis and meteorological and social factors. Results: From 2005 to 2021, human brucellosis in China showed a consistent upward trend. The incidence rate rose more rapidly in South, Central, and Southwest China, leading to a shift in the center of gravity from the North to the Southwest, as illustrated in the migration trajectory diagram. Strong spatial aggregation was observed. The MGWR model outperformed others. Spatio-temporal plots indicated that lower mean annual temperatures and increased beef, mutton, and milk production significantly correlated with higher brucellosis incidence. Cities like Guangxi and Guangdong were more affected by low temperatures, while Xinjiang and Tibet were influenced more by beef and milk production. Inner Mongolia and Heilongjiang were more affected by mutton production. Importantly, an increase in regional GDP and health expenditure exerted a notable protective effect against human brucellosis incidence. Conclusions: Human brucellosis remains a pervasive challenge. Meteorological and social factors significantly influence its incidence in a spatiotemporally specific manner. Tailored prevention strategies should be region-specific, providing valuable insights for effective brucellosis control measures. [ABSTRACT FROM AUTHOR]

Background: To research the effect of China's many-child policy on the number of births and the prevalence of serious teratogenic and disabling defects (STDDs) in Hunan province. Methods: We performed an observational study based on the Birth Defect (BD) Surveillance System of Hunan Province and chose STDD case cards. From 2012–2022, we defined the following 4 periods: the one-child policy (OCP) (2012.01–2013.12), partial two-child policy (PTCP) (2014.1–2015.12), universal two-child policy (UTCP) (2016.1–2020.12), and the early stage of the three-child policy (ETCP) (2021.1–2022.12). Crude odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to examine the association of policy changes with STDDs. Crame′rʹs V was calculated to estimate the effect sizes. Joinpoint regression analysis and annual percent change (APC) were used for each segment of the trend. Results: A total of 1,652,079 births were included in this analysis. Joinpoint regression analysis showed that the number of perinatal births increased from 2012 to 2017, with APC = 9.52 (95% CI: 7.2 to 11.8), and decreased from 2017 to 2022, with an APC = -10.04 (95% CI: -11.9 to -8.1). The number of mothers over 30 years old gradually increased, from 25.54% during the OCP period to 54.05% during the ETCP period (Ptrend < 0.001). With policy changes, the total prevalence of STDDs increased from 28.10 per 10,000 births during the period of OCP into 46.77 per 10,000 births during the ETCP period by 66.44%. The live birth prevalence of STDDs increased only during the ETCP period (PTCP: OR = 1.27, 95% CI: 0.99–1.24, p = 0.057, UTCP: OR = 1.22, 95% CI: 0.99–1.52, p = 0.067, ETCP: OR = 1.75, 95% CI: 1.37–2.24, p < 0.001). Over the past ten years, there was a decrease in the gestational age at diagnosis (*F = 772.520, p < 0.001), from 24.49 ± 5.65 weeks in 2012 to 20.77 ± 5.17 weeks in 2022. From 2012 to 2022, the percentage of deaths within 7 days decreased with APC = -18.85 (95% CI: -26.4— -10.5, P > 0.05). Conclusion: Many-child policies were associated with a moderate increase in fertility especially for women in urban areas and older women. However, they have lost the ability to control birth since 2017. The total prevalence of STDDs increased over the entire period, but the live birth prevalence increased only during the ETCP period. The gestational age at diagnosis decreased and the percentage of deaths within 7 days decreased. [ABSTRACT FROM AUTHOR]

Background: With China's rapidly aging population, meeting the diverse care needs of senior citizens is becoming more challenging. Although voluntary social services have numerous advantages and are popular among older adults, there is little information on the need for assistance from volunteer-based social services, particularly those with a medical background, and influencing factors among urban home-based older adults. This study aimed to assess the need for assistance from voluntary services and related factors among urban home-based older adults in China. Methods: A cross-sectional study was conducted in 2022 on communities in four cities in China. The 27-item Home-Based Older Adults Assistance Need Scale was used to measure the assistance needs of 498 participants aged 60 and above. Multiple linear regression models were conducted to identify salient variables associated with the need for assistance from voluntary services. Results: The mean score of the need for assistance from voluntary services was 88.60 ± 24.37. The mean scores of the items examining four dimensions, namely, health maintenance, visiting communication, social intercourse, and daily life, were 3.64 ± 1.08, 3.49 ± 1.04, 3.33 ± 1.08, and 2.78 ± 1.08, respectively. The level of depression, willingness to assist older adults, attaching importance to health preservation, ability to self-comfort, desire to accept assistance from others, and the presence of more children or none at all were all positively correlated with the perceived need for assistance from voluntary services. In contrast, social care obtained from visiting medical institutions was negatively correlated. These seven factors explained 28.5% of the total variance. Conclusions: Urban home-based older adults in China were found to have significant requirements for assistance from volunteer services, and several complex factors were associated with more significant assistance needs. These findings may encourage the extremely limited numbers of social volunteers, particularly those with a medical background, to identify priorities in providing assistance services to the large numbers of urban home-based older adults and thus improve service delivery. [ABSTRACT FROM AUTHOR]

Background: Mixed results have been found regarding the relationship between media use degree and depressive symptoms. The purpose of this study is to explore the relationship between media use degree, big five personality and depressive symptoms with a mediation model. Method: This was a cross-sectional study. With 9-item Patient Health Questionnaire (PHQ-9), 10-item Big Five Inventory (BFI-10) and self-designed media usage scale, 11,031 participants aged 12 and above in 120 cities in China were collected. Pearson correlation analysis and regression analysis were performed on the data. The Process plug-in was used to construct the mediation model and explore the relationship among media use degree, big five personality and depressive symptoms. The nonparametric percentile Bootstrap method was used to test the mediating effect of personality traits. Results: The degree of media use was positively correlated with depressive symptoms (r = 0.20, P < 0.001), and big five personality played a mediating role between the degree of media use and depressive symptoms. Among five traits, extroversion (r=-0.12, P < 0.001), conscientiousness (r=-0.23, P < 0.001), openness (r=-0.03, P < 0.01) and agreeableness (r=-0.22, P < 0.001) were negatively correlated with depressive symptoms, and neuroticism (r = 0.25, P < 0.001) were positively correlated with depressive symptoms. In addition, extraversion (-0.004, -0.001), conscientiousness (-0.015, -0.008), agreeableness (-0.008, -0.001) and neuroticism (-0.015, -0.007) in big five personality played a mediating role between media use and depressive symptoms. Conclusion: The degree of media use positively predicted depressive symptoms, and excessive media use may bring risks to mental health. People with high neuroticism, low agreeableness, low conscientiousness and low extroversion are more likely to suffer from depressive symptoms. [ABSTRACT FROM AUTHOR]

Background: Pneumonia is a common disease worldwide in preschool children. Despite its large population size, China has had no comprehensive study of the national prevalence, risk factors, and management of pneumonia among preschool children. We therefore investigated the prevalence of pneumonia among preschool children in Chinese seven representative cities, and explore the possible risk factors of pneumonia on children, with a view to calling the world's attention to childhood pneumonia to reduce the prevalence of childhood pneumonia. Methods: Two group samples of 63,663 and 52,812 preschool children were recruited from 2011 and 2019 surveys, respectively. Which were derived from the cross-sectional China, Children, Homes, Health (CCHH) study using a multi-stage stratified sampling method. This survey was conducted in kindergartens in seven representative cities. Exclusion criteria were younger than 2 years old or older than 8 years old, non-permanent population, basic information such as gender, date of birth and breast feeding is incomplete. Pneumonia was determined on the basis of parents reported history of clearly diagnosed by the physician. All participants were assessed with a standard questionnaire. Risk factors for pneumonia, and association between pneumonia and other respiratory diseases were examined by multivariable-adjusted analyses done in all participants for whom data on the variables of interest were available. Disease management was evaluated by the parents' reported history of physician diagnosis, longitudinal comparison of risk factors in 2011 and 2019. Results: In 2011 and 2019, 31,277 (16,152 boys and 15,125 girls) and 32,016 (16,621 boys and 15,395 girls) preschool children aged at 2–8 of permanent population completed the questionnaire, respectively, and were thus included in the final analysis. The findings showed that the age-adjusted prevalence of pneumonia in children was 32.7% in 2011 and 26.4% in 2019. In 2011, girls (odds ratio [OR] 0.91, 95%CI [confidence interval]0.87–0.96; p = 0.0002), rural (0.85, 0.73–0.99; p = 0.0387), duration of breastfeeding ≥ 6 months(0.83, 0.79–0.88; p < 0.0001), birth weight (g) ≥ 4000 (0.88, 0.80–0.97; p = 0.0125), frequency of putting bedding to sunshine (Often) (0.82, 0.71–0.94; p = 0.0049), cooking fuel type (electricity) (0.87, 0.80–0.94; p = 0.0005), indoor use air-conditioning (0.85, 0.80–0.90; p < 0.0001) were associated with a reduced risk of childhood pneumonia. Age (4–6) (1.11, 1.03–1.20; p = 0.0052), parental smoking (one) (1.12, 1.07–1.18; p < 0.0001), used antibiotics (2.71, 2.52–2.90; p < 0.0001), history of parental allergy (one and two) (1.21, 1.12–1.32; p < 0.0001 and 1.33, 1.04–1.69; p = 0.0203), indoor dampness (1.24, 1.15–1.33; p < 0.0001), home interior decoration (1.11, 1.04–1.19; p = 0.0013), Wall painting materials (Paint) (1.16, 1.04–1.29; p = 0.0084), flooring materials (Laminate / Composite wood) (1.08, 1.02–1.16; p = 0.0126), indoor heating mode(Central heating)(1.18, 1.07–1.30, p = 0.0090), asthma (2.38, 2.17–2.61; p < 0.0001), allergic rhinitis (1.36, 1.25–1.47; p < 0.0001), wheezing (1.64, 1.55–1.74; p < 0.0001) were associated with an elevated risk of childhood pneumonia; pneumonia was associated with an elevated risk of childhood asthma (2.53, 2.31–2.78; p < 0.0001), allergic rhinitis (1.41, 1.29–1.53; p < 0.0001) and wheezing (1.64, 1.55–1.74; p < 0.0001). In 2019, girls (0.92, 0.87–0.97; p = 0.0019), duration of breastfeeding ≥ 6 months (0.92, 0.87–0.97; p = 0.0031), used antibiotics (0.22, 0.21–0.24; p < 0.0001), cooking fuel type (Other) (0.40, 0.23–0.63; p = 0.0003), indoor use air-conditioning (0.89, 0.83–0.95; p = 0.0009) were associated with a reduced risk of childhood pneumonia. Urbanisation (Suburb) (1.10, 1.02–1.18; p = 0.0093), premature birth (1.29, 1.08–1.55; p = 0.0051), birth weight (g) < 2500 (1.17, 1.02–1.35; p = 0.0284), parental smoking (1.30, 1.23–1.38; p < 0.0001), history of parental asthma (One) (1.23, 1.03–1.46; p = 0.0202), history of parental allergy (one and two) (1.20, 1.13–1.27; p < 0.0001 and 1.22, 1.08–1.37; p = 0.0014), cooking fuel type (Coal) (1.58, 1.02–2.52; p = 0.0356), indoor dampness (1.16, 1.08–1.24; p < 0.0001), asthma (1.88, 1.64–2.15; p < 0.0001), allergic rhinitis (1.57, 1.45–1.69; p < 0.0001), wheezing (2.43, 2.20–2.68; p < 0.0001) were associated with an elevated risk of childhood pneumonia; pneumonia was associated with an elevated risk of childhood asthma (1.96, 1.72–2.25; p < 0.0001), allergic rhinitis (1.60, 1.48–1.73; p < 0.0001) and wheezing (2.49, 2.25–2.75; p < 0.0001). Conclusions: Pneumonia is prevalent among preschool children in China, and it affects other childhood respiratory diseases. Although the prevalence of pneumonia in Chinese children shows a decreasing trend in 2019 compared to 2011, a well-established management system is still needed to further reduce the prevalence of pneumonia and reduce the burden of disease in children. [ABSTRACT FROM AUTHOR]

Background: Antimicrobial resistance (AMR) of untreatable gonococcal infection is an emerging threat, especially in Guangdong, a prosperous province in Southern China. Methods: N.gonorrhoeae was isolated from 20 cities in Guangdong and determined antimicrobial susceptibility. Through whole-genome sequencing (WGS), multilocus sequence typing (MLST), N.gonorrhoeae multiantigen sequence typing (NG-MAST), and N.gonorrhoeae sequence typing for antimicrobial resistance (NG-STAR) were obtained based on the PubMLST database (https://pubmlst.org/). Phylogenetic analysis was used for dissemination and tracking analysis. Results: Antimicrobial susceptibility was performed on 347 isolates, and 50 isolates were identified as decreased susceptibility (DS) to cephalosporins. Of which 16.0% (8/50) were ceftriaxone DS, 38.0% (19/50) were cefixime DS, and 46.0% (23/50) were both ceftriaxone and cefixime DS. In all, the dual-resistant rate of the cephalosporin-DS isolates was 96.0% for penicillin and 98.0% for tetracycline-resistant, and 10.0% (5/50) were resistant to azithromycin. All cephalosporin-DS isolates were resistant to ciprofloxacin but sensitive to spectinomycin. The predominant MLSTs were ST7363 (16%, 8/50), ST1903 (14%, 7/50), ST1901 (12%, 6/50), and ST7365 (10%, 5/50). Besides some isolates that failed genotyping (NA), NG-STAR ST1143 (n = 6) and NG-MAST ST17748 (n = 4) were the most prevalent. Twelve isolates with mosaic penA-60.001 allele retained the most elevated cephalosporin MIC (Minimum Inhibitory Concentration). Phylogenetic analysis revealed that epidemic penA-60.001 clones, either domestic or foreign, had spread to nine cities in Guangdong, and 9/12 clones were from the Pearl River Delta region. Conclusions: N. gonorrhoeae with cephalosporins-DS was extensively disseminated in Guangdong, Southern China, requiring strict surveillance. [ABSTRACT FROM AUTHOR]