Search

Your search keyword '"Maung, Than"' showing total 10,873 results
Start Over Author "Maung, Than"

Refine your results

more »

more »

more »

more »

more »

more »

more »
10,873 results on '"Maung, Than"'

51. Community structure and insecticide resistance of malaria vectors in northern-central Myanmar.

Author

Zhong, Daibin, Aung, Pyae Linn, Mya, Maung Maung, Wang, Xiaoming, Qin, Qian, Soe, Myat Thu, Zhou, Guofa, Kyaw, Myat Phone, Sattabongkot, Jetsumon, Cui, Liwang, and Yan, Guiyun

Subjects
Animals, Cattle, Anopheles, Malaria, Insecticide Resistance, Myanmar, Female, Mosquito Vectors, Anopheles malaria vectors, Community structure, Insecticide resistance, Kdr mutation, Ribosomal internal transcribed spacer 2, Infectious Diseases, Vector-Borne Diseases, Rare Diseases, Genetics, Aetiology, Prevention of disease and conditions, and promotion of well-being, 3.2 Interventions to alter physical and biological environmental risks, 2.2 Factors relating to the physical environment, Infection, Good Health and Well Being, Medical Microbiology, Public Health and Health Services, Mycology & Parasitology, Tropical Medicine
Abstract

BackgroundMyanmar is one of the six countries in the Greater Mekong Subregion (GMS) of Southeast Asia. Malaria vectors comprise many Anopheles species, which vary in abundance and importance in malaria transmission among different geographical locations in the GMS. Information about the species composition, abundance, and insecticide resistance status of vectorial systems in Myanmar is scarce, hindering our efforts to effectively control malaria vectors in this region.MethodsDuring October and November 2019, larvae and adult females of Anopheles mosquitoes were collected in three sentinel villages of Banmauk township in northern Myanmar. Adult female mosquitoes collected by cow-baited tent collection (CBTC) and adults reared from field-collected larvae (RFCL) were used to determine mortality rates and knockdown resistance (kdr) against deltamethrin using the standard WHO susceptibility test. Molecular species identification was performed by multiplex PCR and ITS2 PCR, followed by DNA sequencing. The kdr mutation at position 1014 of the voltage-gated sodium channel gene was genotyped by DNA sequencing for all Anopheles species tested.ResultsA total of 1596 Anopheles mosquitoes from seven morphologically identified species groups were bioassayed. Confirmed resistance to deltamethrin was detected in the populations of An. barbirostris (s.l.), An. hyrcanus (s.l.), and An. vagus, while possible resistance was detected in An. annularis (s.l.), An. minimus, and An. tessellatus. Anopheles kochi was found susceptible to deltamethrin. Compared to adults collected by CBTC, female adults from RFCL had significantly lower mortality rates in the four species complexes. A total of 1638 individuals from 22 Anopheles species were molecularly identified, with the four most common species being An. dissidens (20.5%) of the Barbirostris group, An. peditaeniatus (19.4%) of the Hyrcanus group, An. aconitus (13.4%) of the Funestus group, and An. nivipes (11.5%) of the Annularis group. The kdr mutation L1014F was only detected in the homozygous state in two An. subpictus (s.l.) specimens and in a heterozygous state in one An. culicifacies (s.l.) specimen.ConclusionsThis study provides updated information about malaria vector species composition and insecticide resistance status in northern Myanmar. The confirmed deltamethrin resistance in multiple species groups constitutes a significant threat to malaria vector control. The lack or low frequency of target-site resistance mutations suggests that other mechanisms are involved in resistance. Continual monitoring of the insecticide resistance of malaria vectors is required for effective vector control and insecticide resistance management.

Published
2022

53. Women’s report of mistreatment during facility-based childbirth: validity and reliability of community survey measures

Author

Leslie, Hannah Hogan, Sharma, Jigyasa, Mehrtash, Hedieh, Berger, Blair Olivia, Irinyenikan, Theresa Azonima, Balde, Mamadou Dioulde, Mon, Nwe Oo, Maya, Ernest, Soumah, Anne-Marie, Adu-Bonsaffoh, Kwame, Maung, Thae Maung, Bohren, Meghan A, and Tunçalp, Özge

Subjects
Midwifery, Public Health, Health Sciences, Clinical Research, Behavioral and Social Science, Generic health relevance, Good Health and Well Being, Cross-Sectional Studies, Female, Health Services Accessibility, Humans, Parturition, Pregnancy, Quality of Health Care, Reproducibility of Results, Surveys and Questionnaires, health services research, maternal health, cross-sectional survey, Health services and systems, Public health
Abstract

Accountability for mistreatment during facility-based childbirth requires valid tools to measure and compare birth experiences. We analyse the WHO 'How women are treated during facility-based childbirth' community survey to test whether items mapping the typology of mistreatment function as scales and to create brief item sets to capture mistreatment by domain. The cross-sectional community survey was conducted at up to 8 weeks post partum among women giving birth at hospitals in Ghana, Guinea, Myanmar and Nigeria. The survey contained items assessing physical abuse, verbal abuse, stigma, failure to meet professional standards, poor rapport with healthcare workers, and health system conditions and constraints. For all domains except stigma, we applied item-response theory to assess item fit and correlation within domain. We tested shortened sets of survey items for sensitivity in detecting mistreatment by domain. Where items show concordance and scale reliability ≥0.60, we assessed convergent validity with dissatisfaction with care and agreement of scale scores between brief and full versions. 2672 women answered over 70 items on mistreatment during childbirth. Reliability exceeded 0.60 in all countries for items on poor rapport with healthcare workers and in three countries for items on failure to meet professional standards; brief scales generally showed high agreement with longer versions and correlation with dissatisfaction. Brief item sets were ≥85% sensitive in detecting mistreatment in each country, over 90% for domains of physical abuse and health system conditions and constraints. Brief scales to measure two domains of mistreatment are largely comparable with longer versions and can be informative for these four distinct settings. Brief item sets efficiently captured prevalence of mistreatment in the five domains analysed; stigma items can be used and adapted in full. Item sets are suitable for confirmation by context and implementation to increase accountability and inform efforts to eliminate mistreatment during childbirth.

Published
2021

54. Development of measures for assessing mistreatment of women during facility-based childbirth based on labour observations

Author

Berger, Blair O, Strobino, Donna M, Mehrtash, Hedieh, Bohren, Meghan A, Adu-Bonsaffoh, Kwame, Leslie, Hannah H, Irinyenikan, Theresa Azonima, Maung, Thae Maung, Balde, Mamadou Dioulde, and Tunçalp, Özge

Subjects
Midwifery, Health Sciences, Clinical Research, Good Health and Well Being, Gender Equality, Cross-Sectional Studies, Delivery, Obstetric, Female, Humans, Parturition, Pregnancy, Quality of Health Care, Reproducibility of Results, maternal health, obstetrics, public health, cross-sectional survey, Health services and systems, Public health
Abstract

Mistreatment of women during childbirth is increasingly recognised as a significant issue globally. Research and programmatic efforts targeting this phenomenon have been limited by a lack of validated measurement tools. This study aimed to develop a set of concise, valid and reliable multidimensional measures for mistreatment using labour observations applicable across multiple settings. Data from continuous labour observations of 1974 women in Nigeria (n=407), Ghana (n=912) and Guinea (n=655) were used from the cross-sectional WHO's multicountry study 'How women are treated during facility-based childbirth' (2016-2018). Exploratory factor analysis was conducted to develop a scale measuring interpersonal abuse. Two indexes were developed through a modified Organisation for Economic Co-operation and Development approach for generating composite indexes. Measures were evaluated for performance, validity and internal reliability. Three mistreatment measures were developed: a 7-item Interpersonal Abuse Scale, a 3-item Exams & Procedures Index and a 12-item Unsupportive Birth Environment Index. Factor analysis results showed a consistent unidimensional factor structure for the Interpersonal Abuse Scale in all three countries based on factor loadings and interitem correlations, indicating good structural construct validity. The scale had a reliability coefficient of 0.71 in Nigeria and approached 0.60 in Ghana and Guinea. Low correlations (Spearman correlation range: -0.06-0.19; p≥0.05) between mistreatment measures supported our decision to develop three separate measures. Predictive criterion validation yielded mixed results across countries. Both items within measures and measure scores were internally consistent across countries; each item co-occurred with other items in a measure, and scores consistently distinguished between 'high' and 'low' mistreatment levels. The set of concise, comprehensive multidimensional measures of mistreatment can be used in future research and quality improvement initiatives targeting mistreatment to quantify burden, identify risk factors and determine its impact on health and well-being outcomes. Further validation and reliability testing of the measures in other contexts is needed.

Published
2021

55. A Pairwise T-Way Test Suite Generation Strategy Using Gravitational Search Algorithm

Author

Htay, Khin Maung, Othman, Rozmie Razif, Amir, Amiza, Zakaria, Hasneeza Liza, and Ramli, Nuraminah

Subjects
Computer Science - Software Engineering
Abstract

Software faults are commonly occurred due to interactions between one or more input parameters in complex software systems. Software test design techniques can be implemented to ensure the quality of the developed software. Exhaustive testing tests all possible test configurations; however, it is infeasible considering time and resource constraints. Pairwise t-way testing is a sampling strategy that focuses on testing every pair of parameter combination, effectively reducing the generated test size as opposed to testing exhaustively. In this paper, we propose a new pairwise t-way strategy called Pairwise Gravitational Search Algorithm Strategy (PGSAS). PGSAS utilizes Gravitational Search Algorithm (GSA) for generating optimal pairwise test suites. The performance of PGSAS is benchmarked against existing t-way strategies in terms of test suite size. Preliminary results showcase that PGSAS provides competitive results in most configurations and outshines other strategies in some cases., Comment: Accepted for publication in IEEE Xplore Subject: International Conference on Artificial Intelligence and Computer Science Technology(ICAICST 2021), 6 pages, 2 figures

Published
2021
Full Text
View/download PDF

56. Estimating high-dimensional Markov-switching VARs

Author

Maung, Kenwin

Subjects
Economics - Econometrics
Abstract

Maximum likelihood estimation of large Markov-switching vector autoregressions (MS-VARs) can be challenging or infeasible due to parameter proliferation. To accommodate situations where dimensionality may be of comparable order to or exceeds the sample size, we adopt a sparse framework and propose two penalized maximum likelihood estimators with either the Lasso or the smoothly clipped absolute deviation (SCAD) penalty. We show that both estimators are estimation consistent, while the SCAD estimator also selects relevant parameters with probability approaching one. A modified EM-algorithm is developed for the case of Gaussian errors and simulations show that the algorithm exhibits desirable finite sample performance. In an application to short-horizon return predictability in the US, we estimate a 15 variable 2-state MS-VAR(1) and obtain the often reported counter-cyclicality in predictability. The variable selection property of our estimators helps to identify predictors that contribute strongly to predictability during economic contractions but are otherwise irrelevant in expansions. Furthermore, out-of-sample analyses indicate that large MS-VARs can significantly outperform "hard-to-beat" predictors like the historical average.

Published
2021

73. Socioeconomic inequalities in skilled attendance at birth and caesarean section rates in Myanmar 2015–2016: a cross-sectional study

Author

Thae Maung Maung, Pisake Lumbiganon, George Disney, Meghan A. Bohren, Kyaw Lwin Show, and Chetta Ngamjarus

Subjects
Medicine
Abstract

Objectives This study aims to assess inequalities in skilled birth attendance and utilisation of caesarean section (CS) in Myanmar.Study design Cross-sectional study design.Setting and population We used secondary data from the Myanmar Demographic and Health Survey (2015–2016). Our outcome measures of skilled birth attendance and utilisation of CS were taken from the most recent birth of interviewed women. Absolute and relative inequalities across several sociodemographic characteristics were assessed and evaluated by calculating rate differences, rate ratio and concentration indexes.Results More than one-third (36%, 95% CI 32.5% to 39.4%) of women gave birth without a skilled birth attendant present at their most recent birth. 40.7% (95% CI 37.8% to 43.7%) gave birth in healthcare facilities, and the CS rate was 19.7% (95% CI 17.9% to 21.8%) for their most recent birth. The highest proportion of birth without a skilled provider was found in the hilly regions and rural residents, poorest and less educated women, and those with less than four antenatal care visits. Inequalities in birth without a skilled provider were observed across regions, place of residence, wealth quintile, education level and number of antenatal care taken. The highest rate of CS was found among plain regions and urban residents, richest women, more than secondary education, those with more than four antenatal care visits and in private health facilities. Inequalities in CS utilisation were observed across place of residence, wealth quintiles, education level, number of antenatal care taken and type of health facilities.Conclusion This study provides evidence regarding inequalities in maternal health service utilisation in Myanmar. Increasing maternal health service availability and accessibility, promoting quality of care and health education campaigns to increase maternal health services utilisation are recommended.

Published
2024
Full Text
View/download PDF

74. Incidence and Characteristics of Delayed Injection Site Reaction to the mRNA-1273 SARS-CoV2 Vaccine (Moderna) in a Cohort of Hospital Employees

Author

Jacobson, Mark A, Zakaria, Adam, Maung, Zaw, Hart, Colin, McCalmont, Tim, Fassett, Marlys, and Amerson, Erin

Subjects
Immunization, Emerging Infectious Diseases, Prevention, Infectious Diseases, Vaccine Related, Biodefense, 3.4 Vaccines, Prevention of disease and conditions, and promotion of well-being, Good Health and Well Being, 2019-nCoV Vaccine mRNA-1273, Adult, COVID-19, COVID-19 Vaccines, Cohort Studies, Female, Hospitals, Humans, Incidence, Injection Site Reaction, Male, Middle Aged, SARS-CoV-2, United States, adverse effect, injection site reaction, vaccine, Biological Sciences, Medical and Health Sciences, Microbiology
Abstract

BackgroundmRNA SARS-CoV-2 vaccines are administered to 2 million individuals per day in the United States under US Food and Drug Administration emergency use authorization.MethodsObservational cohort study of hospital employees who received their first SARS-CoV-2 mRNA vaccination between 14 December 2020 and 8 January 2021, including employees who reported onset of an injection site reaction ≥48 hours after administration of their first or second dose to an employee hotline.ResultsThirteen female employees who received the mRNA-1273 vaccine (Moderna) during the first 3 weeks of the SARS-CoV-2 vaccine rollout at San Francisco General Hospital reported a pruritic rash at the injection site appearing 3 -9 days after receipt of their initial dose. Five had milder or similar reactions with earlier onset after the second dose. One additional female employee reported this delayed reaction only after the second dose. None reported serious adverse events or had symptoms severe enough to seek medical attention. These cases represented 1.1% of the 1275 female employees who received their first mRNA-1273 dose and 2.0% of the 557 who were aged 31 -45 years during this initial vaccine rollout. None of 675 males who initiated mRNA-1273 or 3612 employees of any sex who initiated BNT162b (Pfizer) vaccination during this period reported delayed-onset reactions.ConclusionsThese results suggest that delayed-onset, injection site pruritic rashes after mRNA-1273 SARS-CoV-2 vaccine administration, lasting up to 1 week, occur commonly in females, do not lead to serious sequela, and should not deter receipt of the second vaccine dose.

Published
2022

76. Sparsentan in patients with IgA nephropathy: a prespecified interim analysis from a randomised, double-blind, active-controlled clinical trial

Author

Alarmartine, Eric, Barratt, Jonathan, Chae, Dong Wan, Del Vecchio, Lucia, Floege, Jurgen, Hwang, Shang-Jyh, Jelakovic, Bojan, Maes, Bart, Malecki, Robert, Miglinas, Marius, Nolasco, Fernando Eduardo Barbosa, Praga, Manual, Rabindranath, Kannaiyan, Rosenberg, Mai, Rovin, Brad, Tang, Sydney Chi Wai, Tesar, Vladmir, Wong, Muh Geot, Bose, Bhadran, Gangadharan, Muralikrishna, McDonald, Stephen, Peh, Chen, Jahan, Sadia, Yeap, Chii, Clayton, Philip, Irish, Georgina, Thyagarajan, Nikhil, Hollett, Peter, Krishnasamy, Rathika, Carroll, Robert, Jesudason, Shilpanjali, Crail, Susan, Coates, Toby, Waugh, Jane, Noble, Euan, Mahadevan, Kumaradevan, Campbell, Victoria, Salehi, Tania, Lim, Wai, Boudville, Neil, Chakera, Aron, Chan, Doris, Krishnan, Anoushka, Eqbal, Yusuf, Gillies, Alastair, Vilayur, Eswari, Maung Myint, Thida Maung, Gray, Nicholas, Cheetham, Melissa, Pollock, Carol, Cooper, Bruce, Mather, Amanda, Roxburgh, Sarah, Shen, Yvonne, Stangenberg, Stefanie, Siriwardana, Amanda, O'Lone, Emma, Wan, Susan, Neuen, Brendon, Tsun Kit Ha, Jeffrey, Kim, Dana, Heath, Lauren, Jain, Arunima, Phua, Elaine, Li, Yan, Gallagher, Martin, Jardine, Meg, Ritchie, Angus, Razavian, Mona, Foote, Celine, Wyndham, Roger, Sen, Shaundeep, Endre, Zoltan, Erlich, Jonathan, Fernando, Mangalee, Yong, Kenneth, Luxton, Grant, Kotwal, Sradha, Roger, Simon, Wijeratne, Vidu, Packham, David, Fraser, Ian, Vandewiele, Bert, Laute, Margo, Lemahieu, Wim, Jamar, Sofie, Ombelet, Sara, Meeus, Gert, Decupere, Marc, Schockaert, Olivier, Doubel, Peter, Viaene, Liesbeth, Radermacher, Luc, Masset, Catherine, Moonen, Martial, Firre, Eric, Milicevic, Martina, Warling, Xavier, Vanacker, An, Malfait, Thomas, Durlen, Ivan, Horvatic, Ivica, Savuk, Ana, Gellineo, Lana, Karanovic, Sandra, Dika, Zivka, Plavljanic, Djuro, Mikacic, Ivana, Trajbar Kentric, Dubravka, Barisic, Dunja, Stankovic, Marija, Majstorovic Barac, Karolina, Kruljac, Ivan, Pavlovic, Drasko, Drinkovic, Martin, Prkacin, Ingrid, Barbic, Jerko, Sitas, Zvonimir, Vujcic, Dunja, Rychlik, Ivan, Benesova, Anna, Drinovska, Klara, Kratka, Karolina, Maixnerova, Dita, Ilmoja, Madis, Unt, Kristin, Lilienthal, Kadri, Auerbach, Asta, Leis, Liisi, Piel, Julia, Adoberg, Annika, Kolvald, Kulli, Veermae, Kristi, Telling, Kadri, Seppet, Elviira, Uhlinova, Jana, Zaoui, Philippe, Carron, Pierre-Louis, Masson, Ingrid, Dinic, Miriana, Thibaudin, Damien, Broyet, Christian, Maillard, Nicolas, Mohey, Hesham, Mariat, Christophe, Claisse, Guillaume, Alamartine, Eric, Dussol, Bertrand, Burtey, Stephane, Chiche-Jourde, Noemie, Serre, Jean-Emmanuel, Jeantet, Guillaume, Chenine, Leila, Blanchard, Anne, Roueff, Stephane, Thervet, Eric, Fouassier, David, Buffet, Alexandre, Livrozet, Marine, Gaisset, Roxane, Karras, Alexandre, Heng, Anne-Elisabeth, Garrouste, Cyril, Philipponnet, Carole, Nicolo, Clementine, Atenza, Alba, Lanaret, Camille, Greze, Clarisse, Mayet, Valentin, Dumond, Clement, Delmas, Yahsou, Combe, Christian, Rigothier, Claire, Burguet, Laure, Labat, Aurore, Mucha, Simon, de Précigout, Valérie, Weinreich, Thomas, Reichel, Helmut, Draganova, Diliana, Wolf, Lothar, Hohenstein, Bernd, Heinrichs, Sven, Kulka, Simone, Sat, Sebahat, Weiland, Lea, Krueger, Thilo, Wolf, Gunter, Kettner, Christiane, Schlosser, Mandy, Herfurth, Johann Konstantin, Koch, Annegret, Busch, Martin, Werth, Stephan Christian, Nitschke, Martin, Cakiroglu, Figen, Sarnow, Franziska, Schulz, Lisa, Weiner, Stefan, Wirtz, Nikolaus, Koester, Eric, Moeller, Marcus, Stamellou, Eleni, Sanden, Silja, Schmidt-Guertler, Hans, Bernhardt, Wanja, Patecki, Margret, Schlieper, Georg, Schulte, Kevin, Girardet, Annette, Kunzendorf, Ulrich, Kwan, Lorraine Pui Yuen, Mok, Maggie Ming Yee, Chan, Gary Chi Wang, Ma, Mingyao, Lie, Davina Ngoi Wah, Chan, Anthony Ting Pong, Szeto, Cheuk Chun, Ng, Kit Chung Jack, Cheung, Siu Fai, Yue, Tak Tai Andrew, Fung, Ka Shun Samuel, Tang, Hon, Yim, Ka Fai, Law, Wai Ping, Wong, Yick Hei, Lam, Chi Kwan Darwin, Wong, Sze Ho Sunny, Marcantoni, Carmelita, Aliotta, Roberta, Deodato, Francesca, Patella, Gemma, Comi, Nicolino, Vita, Caterina, Carullo, Nazareno, Bolignano, Davide, Musolino, Michela, Trillini, Matias, Perico, Norberto, Remuzzi, Giuseppe, Daina, Erica, Biancone, Luigi, Colla, Loredana, Burdese, Manuel, Cogno, Chiara, Boaglio, Elena, Abbasciano, Isabella, Zizzi, Carlotta Federica, Randone, Paolo, Napodano, Pietro, Ricchiuto, Anna, Cassia, Matthias, Accarino, Simone, Cozzolino, Mario, Baccaro, Rocco, Costanzi, Stefano, Di Maio, Federica, Arena, Maria, Urciuolo, Federica, Vigano, Sara, Cavalli, Andrea, Limardo, Monica, Bordoli, Monica, Ponti, Serena, Longhi, Selena, Solazzo, Andrea, Giaroni, Francesco, Donati, Gabriele, Torreggiani, Massimo, Catucci, Davide, Colucci, Marco, Esposito, Vittoria, Esposito, Ciro, Gesualdo, Loreto, Capaccio, Flavia, Diletta Stea, Emma, Sivo, Carmen, Annese, Francesca, Papadia, Federica, Messa, Piergiorgio, Belingheri, Mirco, Passerini, Patrizia, Malvica, Silvia, Vickiene, Alvita, Zakauskiene, Urte, Asakiene, Egle, Bumblyte', Inga Arune, Stankuviene, Asta, Santockiene, Lina, Hayat, Ashik, Williams, Allister, Sizeland, Peter, Tan, Eddie, Waters, Gerald, Chan, Lai Wan, Henderson, Andrew, Turnbull, Angus, McNally, Andrew, Reynolds, Annie, Pilmore, Helen, Dittmer, Ian, Manley, Paul, Stallworthy, Elizabeth, Goh, Tze, Semple, David, Collins, Michael, Curry, Elizabeth, Ahmed, Jafar, Nguyen, Thu, Winiarska, Agata, Zbrzezniak, Justyna, Stompor, Tomasz, Krajewska, Magdalena, Augustyniak-Bartosik, Hanna, Zielinska, Dorota, Jander, Anna, Stanczyk, Malgorzata, Tkaczyk, Marcin, Miarka, Przemyslaw, Aksamit, Dariusz, Jaskowski, Piotr, Sulowicz, Wladyslaw, Cieniawski, Dominik, Gontarek-Kacprzak, Julita, Felicjanczuk, Elzbieta, Kwella, Norbert, Kwella, Bogna, Satora, Ewa, Fernandes, João Carlos, Gomes, Ana Marta, Reis, Marina, Lopes, Daniela, Almeida, Catarina, Sá, Helena, Figueiredo, Ana Carolina, Pardinhas, Clara, Almeida, Edgar, Raimundo, Mario, Cortesão Costa, Ana, Falcao Goncalves, Luis Pedro, Fernandes, Sara, Silva, Sónia, Teixeira, Catarina, Fernandes, Adriana, Nolasco, Fernando, Alves, Patricia, Gois, Mario, Fonseca, Nuno, Messias, Ana, Menezes, Maria, Cardoso, Filipa, Sousa, Helena, Marques, Joana, Barata, Rui, Lopes, Jose Antonio, Jorge, Sofia, Gameiro, Joana, de Almeida Agapito Fonseca, Jose Nuno, Goncalves, Sara, Farinha, Ana, Valerio Santos, Patricia, Natario, Ana, de Jesus Barreto, Jose Carlos, Abrantes, Catarina, Quadrado Soares, Elsa Sofia, Soares Felgueiras, Joana de Sousa, Cunha, Liliana, Parreira, Lucia, Furtado, Teresa, Vaz, Alvaro, Oh, Kook-Hwan, Lee, Hajeong, Joong Kim, Se, Jeong, Jong Cheol, Hoon Kim, Yeong, Kim, Yunmi, Park, Hyeong Cheon, Choi, Hoon Young, Wook Kim, Hyung, Lee, Moon Hyoung, Yoon, Songuk, Lee, Kyu-Beck, Hyun, YoungYoul, Yoo, Tae-Hyun, Han, Seung Hyeok, Park, Jung Tak, Kim, Sunggyun, Song, Young Rim, Kim, Jwa-Kyung, Lee, Hyung-seok, Joo, Narae, Lee, JungEun, Ryoun Jang, Hye, Jeon, Junseok, Chung, Wookyung, Lee, HyunHee, Chang, Jae Hyun, Chun, Ka Yeong, Jung, Ji Yong, Ro, Han, Kim, Aejin, Jo, Sang-Kyung, Yang, Jihyun, Kim, Myung-Gyu, Oh, SeWon, Martinez Villanueva, Caridad, Gimeno, Ana Vilar, Andres Useche Bonilla, Gustavo, Tamarit, Esther, Galan Serrano, Antonio, Verde Moreno, Eduardo, Fernandez, Jose Luño, Goicoechea Diezhandino, Maria Angeles, Verdalles Guzman, Ursula, de Jose, Ana Perez, Ortiz Arduan, Alberto, Pérez Gómez, María Vanessa, Martín Cleary, Catalina, Prado, Raul Fernandez, Goma, Elena, Ballarin, Jose, Encarnacion, Montserrat Diaz, Da Silva Santos, Iara, Marco Rusinol, Helena, Furlano, Monica, Arias, Carlos, Barrios, Clara, Garcia, Eva Rodriguez, Sierra Ochoa, Adriana, Vizcaino Castillo, Belen, Pantoja Perez, Jonay, Gonzalez Moya, Mercedes, Sargsyan, Mari, Calatayud Aristoy, Emma, Bernabeu, Ana Avila, Perez Lluna, Leticia, Malek Marin, Tamara, Antonia Munar Vila, Maria, Bobadilla Rico, Ivon Maritza, Allende Burgos, Natalia, Gutierrez Martinez, Eduardo, Gutierrez Solis, Elena, Sevillano, Angel, Merida Herrero, Evangelina, Miquel Blasco Pelicano, Josep, Rodas Marin, Lida Maria, Quintana, Luis F, Antonieta Azancot Rivero, Maria, Ramos Terrades, Natalia, Garcia Carro, Clara, Agraz Pamplona, Irene, Salgueira Lazo, Mercedes, de la Prada Alvarez, Francisco, Alonso Garcia, Fabiola, Adrian Aguilera Morales, Wenceslao, Virxinia Pol Heres, Salia, Forcen, Angel, Parra Moncasi, Eduardo, Medrano Villarroya, Cristina, Soria Villen, Alejandro, Gracia Garcia, Olga, Velo Plaza, Mercedes, Sánchez de la Nieta, Maria Dolores, Calvo Arevalo, Marta, Moreno, Antolina, Cigarran Guldris, Secundino, de Vicente, Manuel Pereira, Munar Vila, Maria Antonia, Hsu, Bang-Gee, Wang, Chih-Hsien, Chen, Cheng-Hsu, Yu, Tung-Min, Wu, Ming-Ju, Tsai, Shang-Feng, Hsu, Chia-Tien, Chiu, Hsien-Fu, Chou, Kang-Ju, Fang, Hua-Chang, Lee, Po-Tsang, Chen, Hsin-Yu, Chen, Chien-Liang, Huang, Chien-Wei, Ou, Shih-Hsiang, Ho, Tzung-Yo, Hsu, Chih-Yang, Chang, Ming-Shan, Chiu, Yen-Ling, Peng, Yu-Sen, Shu, Kai-Hsiang, Pan, Szu-Yu, Hsu, Shih-Ping, Yang, Ju-Yeh, Pai, Mei-Fen, Tseng, Po-Yu, Wu, Hon-Yen, Tsai, Wan-Chuan, Tung, Kuei-Ting, Chen, Hung-Yuan, Chen, Hung-Chun, Kuo, Mei-Chuan, Hwang, Daw-Yang, Chiu, Yi-Wen, Hung, Chi-Chih, Kuo, Hung-Tien, Tsai, Jer-Chia, McCafferty, Kieran, Forbes, Suzanne, Dasgupta, Indranil, Thomas, Mark, Mahdi, Amar, Ajayi, Bamidele, Chowdhury, Paramit, Kasimatis, Theodoros, Moutzouris, Dimitrios, Dudreuilh, Caroline, Pruthi, Rishi, Mansfield, Nick, Doctor, Gabriel, Shah, Sapna, Kon, Sui, Smith, Priscilla, Hamilton, Patrick, Kanigicherla, Durga, Ibrahim Ragy, Omar Sherin, Alchi, Bassam, Flossmann, Oliver, Ghalli, Farid, Lawman, Sarah, Sinha, Smeeta, Chrysochou, Constantina, Chukwu, Chukwuma, Maire De Bhailis, Aine, Al Chalabi, Saif, Hudson, Amy, Gopu, Arun, Wickens, Olivia, Storrar, Joshua, Wahba, Mona, Lorde, Nathan, Rony, Mohammad, Griffin, Sian, Latif, Farah, Ali, Mohammad, DaSilva, Louise, Ayling-Smith, Jonathan, Mahdi, Eamon, Willcocks, Lisa, Jones, Rachel, Cheung, Chee Kay, Selvaskandan, Haresh, Pugh, Dan, Sayer, Matthew, Dhaun, Neeraj, Chapman, Fiona, Mark, Patrick, Geddes, Colin, McQuarrie, Emily, Patel, Rajan, Solomon, Laurence, Ponnusamy, Arvind, Morris, Adam, Okoh, Pedro, Floyd, Lauren, Dhaygude, Ajay, Leung, Janson, Goldsmith, Christopher, Pandya, Bhavna, Tez, Didem, Mikhail, Ashraf, Brown, Karen, Bucknall, Thomas, Lambie, Mark, Comunale, Roderick, Brandon, Donald, Martinez, Stacy, Hall, Amanda, Henderson, Amy, Fearday, Aaron, Douthit, Nicole, Snow, Brian, Silva, Arnold, Sly, Cathylee, Keller, Christopher, Davidson, Robert, Meng, Jerry, Haws, Robert, Kattamanchi, Siddhartha, Mojarrab, Javad, Pillai, Unnikrishnan, Lafayette, Richard, O'Shaughnessy, Michelle, Kamal, Fahameedah, Mehta, Kshama, Baker, Bruce, Ruiz, Mario, Jyothinagaram, Praveena, Peri, Usha, Paxton, William, Tumlin, James, McGreal, Kerri, McCarthy, Ellen, Kimber, Cassandra, Gautam, Archana, Khalil, Kassem, Nguyen, Viet, Minasian, Raffi, Arfaania, Dariush, Daneshvari, Sam, Zakari, Michel, Patrikyan, Artashes, Afsari, Rouzbeh, Ayvazyan, Christine, Fakih, Faisal, Lagatta, Mark, Rodriguez, Alfred, Avella, Jorge Enrique Monroy, Patak, Ramachandra, Kadakia, Jigar, Radhakrishnan, Jai, Appel, Gerald, Ahn, Wooin, Nelson, Bradley, Medina, Allyson, Ahmad, Syeda, Peleg, Yonatan, Clement, Nisha, Chiu, Ian, Hendren, Elizabeth, Bomback, Andrew, Canetta, Pietro, Spinowitz, Bruce, Charytan, Chaim, Parikh, Nishita, Kuo, Sheng, Raichoudhury, Ritesh, Dobre, Mirela, Negrea, Lavinia, Padiyar, Aparna, Jittirat, Arksarapuk, Pradhan, Nishigandha, Dhelaria, Ranjit, Balamuthusamy, Saravanan, Madhrira, Machaiah, Powell, Thomas, Lifland, Howard, Bailey, Asha, Ford Sightler, Sarah Ashley, Suthar, Meera Patel, Green, Heather, Parikh, Samir, Ayoub, Isabelle, Almaani, Salem, Contreras, Gabriel, Fornoni, Alessia, Drexler, Yelena, Geara, Abdallah, Sheridan, Brittany, Coppock, Gaia, Hogan, Jonathan, Gonzalez, Carlos, Bhadra, Shamik, Chowdhury, Pradip, Kyaw, Kay, Tan, May, Raakesh, Lathika, Mendoza, Elder, Viramontes, Veronica, Chaudhry, Asghar, Carbonell, Juan, Gadh, Rajdeep, Fernandez, Victor, Kassem, Mohamad, Jacob, Radu, Wilder, Karen, Newsome, Britt, Klamm, Kathryn, Suyumova, Irina, Kooienga, Laura Ann, Janko, Catherine, Rizk, Dana, Julian, Bruce, Caster, Dawn, Perez, Erika, Garg, Gunjan, Gowda, Nayan, Udani, Suneel, Mandayam, Sreedhar, Workeneh, Biruh, Assefi, Ali, Greco, Barbara, Germain, Michael, Patel, Jusmin, Quinn, Sarah, Sullivan, James, Glaze, Jeffrey, Madonia, Phillip, McMahon, Kellyn, Giles, Harold, Adler, Sharon, Dai, Tiane, Heerspink, Hiddo J L, Alpers, Charles E, Bieler, Stewart, Diva, Ulysses, Inrig, Jula, Komers, Radko, Mercer, Alex, Noronha, Irene L, Rheault, Michelle N, Rote, William, Trachtman, Howard, Trimarchi, Hernán, and Perkovic, Vlado

Published
2023
Full Text
View/download PDF

81. Sociodemographic characteristics, attitudes, and knowledge associated with previous screening for cervical cancer among women in western Jamaica

Author

Pauline E. Jolly, Anna Junkins, and Maung Aung

Subjects
Cervical cancer, Screening uptake, Jamaica, Pap test, Predictors, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Infectious and parasitic diseases, RC109-216
Abstract

Abstract Background About 90% of new cervical cancer cases and deaths worldwide in 2020 occurred in low- and middle-income countries. This can be attributed to the low rates of cervical cancer screening in these countries. This study was conducted to identify factors associated with lack of cervical cancer screening among women in western Jamaica with the aim to increase screening and decrease cervical cancer risk. Methods This cross-sectional study assessed associations between previous Pap testing or lack of testing in five years or more, sociodemographic characteristics, attitudes, and knowledge of cervical cancer among women recruited from clinics and community events in the four parishes of western Jamaica. Analyses included chi-square tests, Fisher’s exact tests, and logistic regression. Results Of the 223 women included in the study, 109 (48.9%) reported Pap testing five years or more previous to the study. In the multivariate analysis, women from St. James (Odds Ratio [OR]: 3.35, 95% Confidence Interval [CI]: 1.12–9.99), Trelawny (OR: 5.34, 95% CI: 1.23–23.25), and Westmoreland (OR: 3.70, 95% CI: 1.10–12.50) had increased odds of having had Pap test screening compared to women from Hanover. Women ≥ 50 years of age compared to women 18–29 years of age (OR: 6.17, 95% CI: 1.76–21.54), and employed compared to unemployed women (OR: 2.44, 95% CI: 1.15–5.20) had increased odds of Pap test screening. Similarly, women with one (OR: 4.15, 95% CI: 1.06–16.22) or two or more children (OR: 8.43, 95% CI: 2.24–31.63) compared to women with no children had higher odds of screening. Women who were aware, compared to women who were unaware, of the purpose of Pap tests had increased odds of screening (OR: 3.90, 95% CI: 1.55–9.82). Lastly, women who believed Pap tests were painful compared to women who did not, had decreased odds of having had a Pap test (OR: 0.33, 95% CI: 0.16–0.71). Conclusions Uptake of Pap tests among the women was suboptimal and varied among parishes. Young women and women without children were less likely to have ever been screened. Increased education of the purpose of Pap tests to treat pre-cancer to prevent cancer and minimization of the notion that Pap tests are painful could promote screening among women in this population.

Published
2023
Full Text
View/download PDF

83. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

Author

Phelps, Nowell H, Singleton, Rosie K, Zhou, Bin, Heap, Rachel A, Mishra, Anu, Bennett, James E, Paciorek, Christopher J, Lhoste, Victor PF, Carrillo-Larco, Rodrigo M, Stevens, Gretchen A, Rodriguez-Martinez, Andrea, Bixby, Honor, Bentham, James, Di Cesare, Mariachiara, Danaei, Goodarz, Rayner, Archie W, Barradas-Pires, Ana, Cowan, Melanie J, Savin, Stefan, Riley, Leanne M, Aguilar-Salinas, Carlos A, Baker, Jennifer L, Barkat, Amina, Bhutta, Zulfiqar A, Branca, Francesco, Caixeta, Roberta B, Cuschieri, Sarah, Farzadfar, Farshad, Ganapathy, Shubash, Ikeda, Nayu, Iotova, Violeta, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Lin, Hsien-Ho, Ma, Jun, Mbanya, Jean Claude N, Miranda, J Jaime, Pradeepa, Rajendra, Rodríguez-Artalejo, Fernando, Sorić, Maroje, Turley, Maria, Wang, Limin, Webster-Kerr, Karen, Aarestrup, Julie, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdeen, Ziad A, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Abubakar Garba, Jamila, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Adams, Robert J, Adu-Afarwuah, Seth, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agbor, Valirie N, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Ågren, Åsa, Aguenaou, Hassan, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Imran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lahou, Badreya, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Al Qaoud, Nawal M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Aldwairji, Maryam A, Alexius, Sylvia, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkerwi, Ala'a, Alkhatib, Buthaina M, Allin, Kristine, Alomary, Shaker A, Alomirah, Husam F, Alshangiti, Arwa M, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amoah, John, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Androutsos, Odysseas, Ängquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Assefa, Nega, Aspelund, Thor, Assah, Felix K, Assembekov, Batyrbek, Assunção, Maria Cecília F, Aung, May Soe, Aurélio de Valois, Correia Júnior Marco, Auvinen, Juha, Avdičová, Mária, Avi, Shina, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Babu, Bontha V, Bacopoulou, Flora, Bæksgaard Jørgensen, Maja, Baharudin, Azli, Bahijri, Suhad, Bajramovic, Izet, Bakacs, Marta, Balakrishna, Nagalla, Balanova, Yulia, Bamoshmoosh, Mohamed, Banach, Maciej, Banegas, José R, Baran, Joanna, Baran, Rafał, Barbagallo, Carlo M, Barbosa Filho, Valter, Barceló, Alberto, Baretić, Maja, Barnoya, Joaquin, Barrera, Lena, Barreto, Marta, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Bartosiewicz, Anna, Basit, Abdul, Bastos, Joao Luiz, Bata, Iqbal, Batieha, Anwar M, Batista, Aline P, Batista, Rosangela L, Battakova, Zhamilya, Baur, Louise A, Bayauli, Pascal M, Beaglehole, Robert, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedek, Theodora, Benedics, Judith, Benet, Mikhail, Benitez Rolandi, Gilda Estela, Benzeval, Michaela, Bere, Elling, Berger, Nicolas, Bergh, Ingunn Holden, Berhane, Yemane, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Berrios Carrasola, Ximena, Bettiol, Heloísa, Beutel, Manfred E, Beybey, Augustin F, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bi, Hongsheng, Bi, Yufang, Bia, Daniel, Biasch, Katia, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Anne A, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Blychfeld Magnazu, Moran, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boer, Jolanda MA, Boggia, Jose G, Bogova, Elena, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Botomba, Steve, Bourne, Rupert RA, Bovet, Pascal, Boymatova, Khadichamo, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn CE, Braithwaite, Tasanee, Brajkovich, Imperia, Breckenkamp, Juergen, Breda, João, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Briceño, Yajaira, Brinduse, Lacramioara, Bringolf-Isler, Bettina, Brito, Miguel, Brophy, Sinead, Brug, Johannes, Bruno, Graziella, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, Cabrera de León, Antonio, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, José, Can, Günay, Cândido, Ana Paula c, Cañete, Felicia, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardol, Marloes, Cardoso, Viviane C, Carlsson, Axel C, Carmuega, Esteban, Carvalho, Joana, Casajús, José A, Casanueva, Felipe F, Casas, Maribel, Celikcan, Ertugrul, Censi, Laura, Cervantes-Loaiza, Marvin, Cesar, Juraci A, Chamnan, Parinya, Chamukuttan, Snehalatha, Chan, Angelique, Chan, Queenie, Charchar, Fadi J, Charles, Marie-Aline, Chaturvedi, Himanshu K, Chaturvedi, Nish, Che Abdul Rahim, Norsyamlina, Chee, Miao Li, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Long-Sheng, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheng, Yiling J, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chinapaw, Mai JM, Chinnock, Anne, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Cirillo, Massimo, Claessens, Frank, Clare, Philip, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Cojocaru, Cosmin R, Colorado-Yohar, Sandra, Compañ-Gabucio, Laura-María, Concin, Hans, Confortin, Susana C, Cooper, Cyrus, Coppinger, Tara C, Corpeleijn, Eva, Cortés, Lilia Yadira, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crampin, Amelia C, Cross, Amanda J, Crujeiras, Ana B, Cruz, Juan J, Csányi, Tamás, Csilla, Semánová, Cucu, Alexandra M, Cui, Liufu, Cureau, Felipe V, Czenczek-Lewandowska, Ewelina, D'Arrigo, Graziella, d'Orsi, Eleonora, da Silva, Alanna G, Dacica, Liliana, Dahm, Christina C, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T, Dankner, Rachel, Dantoft, Thomas M, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, de Assis Guedes de Vasconcelos, Francisco, de Assis, Maria Alice Altenburg, De Backer, Guy, De Bacquer, Dirk, De Bacquer, Jaco, de Bont, Jeroen, De Curtis, Amalia, de Fragas Hinnig, Patrícia, de Gaetano, Giovanni, De Henauw, Stefaan, De Miguel-Etayo, Pilar, De Neve, Jan-Walter, Duarte de Oliveira, Paula, De Ridder, David, De Ridder, Karin, de Rooij, Susanne R, de Sá, Ana Carolina MGN, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, DeGennaro, Vincent Jr, Delisle, Hélène, Delpeuch, Francis, Demarest, Stefaan, Dennison, Elaine, Dereń, Katarzyna, Deschamps, Valérie, Devrishov, Ruslan D, Dhimal, Meghnath, Di Castelnuovo, Augusto, Dias-da-Costa, Juvenal Soares, Díaz-Sánchez, María Elena, Diaz, Alejandro, Díaz Fernández, Pedro, Díez Ripollés, María Pilar, Dika, Zivka, Djalalinia, Shirin, Djordjic, Visnja, Do, Ha TP, Dobson, Annette J, Dominguez, Liria, Donati, Maria Benedetta, Donfrancesco, Chiara, Dong, Guanghui, Dong, Yanhui, Donoso, Silvana P, Döring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Dörr, Marcus, Doua, Kouamelan, Dragano, Nico, Drygas, Wojciech, Du, Shufa, Duan, Jia Li, Duante, Charmaine A, Duboz, Priscilla, Duleva, Vesselka L, Dulskiene, Virginija, Dumith, Samuel C, Dushpanova, Anar, Dwyer, Terence, Dyussupova, Azhar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Ebrahimi, Narges, Echeverría, Guadalupe, Eddie, Ricky, Eftekhar, Ebrahim, Efthymiou, Vasiliki, Egbagbe, Eruke E, Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ammari, Laila, El Ati, Jalila, Eldemire-Shearer, Denise, Elliott, Paul, Enang, Ofem, Endevelt, Ronit, Engle-Stone, Reina, Erasmus, Rajiv T, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Peña, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Evans, Roger G, Faeh, David, Fagherazzi, Guy, Fakhradiyev, Ildar, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Farrugia Sant'Angelo, Victoria, Farzi, Yosef, Fattahi, Mohammad Reza, Fawwad, Asher, Fawzi, Wafaie W, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Gerson, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferreira, Haroldo S, Ferrer, Eldridge, Ferrieres, Jean, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fink, Günther, Fisberg, Mauro, Fischer, Krista, Foo, Leng Huat, Forsner, Maria, Fottrell, Edward F, Fouad, Heba M, Francis, Damian K, Franco, Maria do Carmo, Fras, Zlatko, Fraser, Brooklyn, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujiati, Isti I, Fujita, Yuki, Fumihiko, Matsuda, Furdela, Viktoriya, Furusawa, Takuro, Gabriela, Stefan Adela, Gaciong, Zbigniew, Gafencu, Mihai, Galán Cuesta, Manuel, Galbarczyk, Andrzej, Galcheva, Sonya V, Galenkamp, Henrike, Galeone, Daniela, Galfo, Myriam, Galvano, Fabio, Gao, Jingli, Gao, Pei, Garcia-de-la-Hera, Manoli, García Mérida, María José, García Solano, Marta, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gaya, Adroaldo Cesar Araujo, Gaya, Anelise Reis, Gazzinelli, Andrea, Gehring, Ulrike, Geiger, Harald, Geleijnse, Johanna M, George, Ronnie, Gerdts, Eva, Ghaderi, Ebrahim, Ghamari, Seyyed-Hadi, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gieger, Christian, Gill, Tiffany K, Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Glushkova, Natalya, Godara, Ramesh, Godos, Justyna, Gogen, Sibel, Goldberg, Marcel, Goltzman, David, Gómez, Georgina, Gómez Gómez, Jesús Humberto, Gomez, Luis F, Gómez, Santiago F, Gomula, Aleksandra, Gonçalves Cordeiro da Silva, Bruna, Gonçalves, Helen, Gonçalves, Mauer, González-Alvarez, Ana D, Gonzalez-Chica, David A, González-Gil, Esther M, Gonzalez-Gross, Marcela, González-Leon, Margot, González-Rivas, Juan P, González-Villalpando, Clicerio, González-Villalpando, María-Elena, Gonzalez, Angel R, Gottrand, Frederic, Graça, Antonio Pedro, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G, Gregg, Edward W, Gregor, Ronald D, Gregório, Maria João, Grøholt, Else Karin, Grøntved, Anders, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Guajardo, Viviana, Gualdi-Russo, Emanuela, Guallar-Castillón, Pilar, Gualtieri, Andrea, Gudmundsson, Elias F, Gudnason, Vilmundur, Guerchet, Maëlenn, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L, Gujral, Unjali P, Gulliford, Martin C, Gunnlaugsdottir, Johanna, Gunter, Marc J, Guo, Xiu-Hua, Guo, Yin, Gupta, Prakash C, Gupta, Rajeev, Gureje, Oye, Gurinović, Mirjana A, Gutiérrez González, Enrique, Gutierrez, Laura, Gutzwiller, Felix, Gwee, Xinyi, Ha, Seongjun, Hadaegh, Farzad, Hadjigeorgiou, Charalambos A, Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hanekom, Willem A, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Hao, Jie, Hardman, Carla Menêses, Hardy, Louise, Hari Kumar, Rachakulla, Harmer Lassen, Tina, Harooni, Javad, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J, He, Jiang, He, Yuan, He, Yuna, Heidinger-Felső, Regina, Heier, Margit, Heinen, Mirjam, Hejgaard, Tatjana, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Hernandez Cadena, Leticia, Herrala, Sauli, Herrera-Cuenca, Marianella, Herrera, Victor M, Herter-Aeberli, Isabelle, Herzig, Karl-Heinz, Heshmat, Ramin, Heude, Barbara, Hill, Allan G, Ho, Sai Yin, Ho, Suzanne C, Hobbs, Michael, Höfelmann, Doroteia A, Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hoogendijk, Emiel, Hopman, Wilma M, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huidumac Petrescu, Constanta, Husseini, Abdullatif, Huu, Chinh Nguyen, Huybrechts, Inge, Hwalla, Nahla, Hyska, Jolanda, Iacoviello, Licia, Iakupova, Ellina M, Ibarluzea, Jesús, Ibrahim, Mohsen M, Ibrahim Wong, Norazizah, Igland, Jannicke, Ijoma, Chinwuba, Ikram, M Arfan, Iñiguez, Carmen, Irazola, Vilma E, Ishida, Takafumi, Isiguzo, Godsent C, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Islek, Duygu, Ittermann, Till, Ivanova-Pandourska, Ivaila Y, Iwasaki, Masanori, Jääskeläinen, Tuija, Jackson, Rod T, Jacobs, Jeremy M, Jadoul, Michel, Jafar, Tazeen, Jallow, Bakary, James, Kenneth, Jamil, Kazi M, Jamrozik, Konrad, Jan, Nataša, Jansson, Anna, Janszky, Imre, Janus, Edward, Jarani, Juel, Jarnig, Gerald, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelaković, Ana, Jelaković, Bojan, Jennings, Garry, Jiang, Chao Qiang, Jimenez, Ramon O, Jöckel, Karl-Heinz, Joffres, Michel, Jokelainen, Jari J, Jonas, Jost B, Jonnagaddala, Jitendra, Jøran Kjerpeseth, Lars, Jørgensen, Torben, Joshi, Pradeep, Joshi, Rohina, Josipović, Josipa, Joukar, Farahnaz, Jóźwiak, Jacek J, Judge, Debra S, Juolevi, Anne, Jurak, Gregor, Jurca Simina, Iulia, Juresa, Vesna, Kaaks, Rudolf, Kaducu, Felix O, Kadvan, Agnes L, Kafatos, Anthony, Kaj, Mónika, Kajantie, Eero O, Kakutia, Natia, Kállayová, Daniela, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Kameli, Yves, Kanala, Kodanda R, Kannan, Srinivasan, Kapantais, Efthymios, Karaglani, Eva, Karakosta, Argyro, Kårhus, Line L, Karki, Khem B, Karlsson, Omat, Kassi Anicet, Adoubi, Katchunga, Philippe B, Katibeh, Marzieh, Katz, Joanne, Katzmarzyk, Peter T, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M, Kaze, François F, Kazembe, Benson M, Ke, Calvin, Keil, Ulrich, Keinan Boker, Lital, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han CG, Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khaledifar, Arsalan, Khalili, Davood, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Khouw, Ilse MSL, Kiechl-Kohlendorfer, Ursula, Kiechl, Sophia J, Kiechl, Stefan, Killewo, Japhet, Kim, Hyeon Chang, Kim, Jeongseon, Kindblom, Jenny M, Kingston, Andrew, Klakk, Heidi, Klanarong, Suntara, Klanova, Jana, Klimek, Magdalena, Klimont, Jeannette, Klumbiene, Jurate, Knoflach, Michael, Kobel, Susanne, Koirala, Bhawesh, Kolle, Elin, Kolo, Sanda M, Kolsteren, Patrick, König, Jürgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Koussoh Simone, Malik, Kovács, Éva, Kovacs, Viktoria Anna, Kovalskys, Irina, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kratzer, Wolfgang, Kriaucioniene, Vilma, Kriemler, Susi, Kristensen, Peter Lund, Krizan, Helena, Kroker-Lobos, Maria F, Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S, Kruger, Ruan, Kryst, Łukasz, Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M, Kujundzic, Enisa, Kulaga, Zbigniew, Kulimbet, Mukhtar, Kulothungan, Vaitheeswaran, Kumar, R Krishna, Kumari, Meena, Kunešová, Marie, Kurjata, Pawel, Kusuma, Yadlapalli S, Kutsenko, Vladimir, Kuulasmaa, Kari, Kyobutungi, Catherine, La, Quang Ngoc, Laamiri, Fatima Zahra, Laatikainen, Tiina, Labadarios, Demetre, Lachat, Carl, Lackner, Karl J, Lai, Daphne, Laid, Youcef, Lall, Lachmie, Lam, Tai Hing, Landaeta Jimenez, Maritza, Landais, Edwige, Lankila, Tiina, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Larissa, Simo Pone, Lateva, Mina P, Latt, Tint Swe, Laurenzi, Martino, Lauria, Laura, Lazo-Porras, Maria, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Le Port, Agnès, Le, Tuyen D, Lee, Jeannette, Lee, Jeonghee, Lee, Paul H, Lehtimäki, Terho, Lemogoum, Daniel, Leong, Elvynna, Leskošek, Branimir, Leszczak, Justyna, Leth-Møller, Katja B, Leung, Gabriel M, Levitt, Naomi S, Li, Yanping, Liivak, Merike, Lilly, Christa L, Lim, Charlie, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Xu, Lind, Lars, Lingam, Vijaya, Linkohr, Birgit, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Jing, Liu, Lijuan, Liu, Liping, Liu, Xiaotian, Lo, Wei-Cheng, Loit, Helle-Mai, Long, Khuong Quynh, Longo Abril, Guadalupe, Lopes, Luis, Lopes, Marcus SS, Lopes, Oscar, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A, Lozano, José Eugenio, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lunogelo, Charles, Lustigová, Michala, Łuszczki, Edyta, M'Buyamba-Kabangu, Jean-René, Ma, Guansheng, Ma, Xu, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Macia, Enguerran, Macieira, Luisa M, Madar, Ahmed A, Madraisau, Sherilynn, Madsen, Anja L, Maestre, Gladys E, Maggi, Stefania, Magliano, Dianna J, Magnacca, Sara, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Mäki, Päivi, Malekpour, Mohammad-Reza, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Mallikharjuna Rao, Kodavanti, Malta, Deborah C, Malyutina, Sofia K, Maniego, Lynell V, Manios, Yannis, Mann, Jim I, Mannix, Masimango Imani, Mansour-Ghanaei, Fariborz, Manyanga, Taru, Manzato, Enzo, Mapatano, Mala Ali, Marcil, Anie, Margozzini, Paula, Maria-Magdalena, Rosu, Mariño, Joany, Markaki, Anastasia, Markey, Oonagh, Markidou Ioannidou, Eliza, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martin-Prevel, Yves, Martin, Rosemarie, Martorell, Reynaldo, Martos, Eva, Maruf, Fatai A, Maruszczak, Katharina, Marventano, Stefano, Masala, Giovanna, Mascarenhas, Luis P, Masinaei, Masoud, Masoodi, Shariq R, Mathiesen, Ellisiv B, Mathur, Prashant, Matijasevich, Alicia, Matłosz, Piotr, Matsha, Tandi E, Matsudo, Victor, Matteo, Giletta, Maulik, Pallab K, Mavrogianni, Christina, Mazur, Artur, McFarlane, Shelly R, McGarvey, Stephen T, McKee, Martin, McLean, Rachael M, McLean, Scott B, McNairy, Margaret L, McNulty, Breige A, Mediene Benchekor, Sounnia, Medzioniene, Jurate, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisfjord, Jørgen, Meisinger, Christa, Melgarejo, Jesus D, Melkumova, Marina, Mello, Júlio, Méndez, Fabián, Mendivil, Carlos O, Menezes, Ana Maria B, Menon, Geetha R, Mensink, Gert BM, Menzano, Maria Teresa, Meshram, Indrapal I, Meto, Diane T, Meyer, Haakon E, Mi, Jie, Michaelsen, Kim F, Michels, Nathalie, Mikkel, Kairit, Miłkowska, Karolina, Miller, Jody C, Milushkina, Olga, Minderico, Cláudia S, Mini, GK, Miquel, Juan Francisco, Mirjalili, Mohammad Reza, Mirkopoulou, Daphne, Mirrakhimov, Erkin, Mišigoj-Duraković, Marjeta, Mistretta, Antonio, Mocanu, Veronica, Modesti, Pietro A, Moghaddam, Sahar Saeedi, Mohamed, Shukri F, Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Mohd Yusoff, Muhammad Fadhli, Mohebbi, Iraj, Moitry, Marie, Møllehave, Line T, Møller, Niels C, Molnár, Dénes, Momenan, Amirabbas, Mondo, Charles K, Monroy-Valle, Michele, Montenegro Mendoza, Roger A, Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K, Moon, Jin Soo, Moosazadeh, Mahmood, Mopa, Hermine T, Moradpour, Farhad, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morey, Francis, Morgan, Karen, Morin, Suzanne N, Mortensen, Erik Lykke, Moschonis, George, Moslem, Alireza, Mosquera, Mildrey, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota-Pinto, Anabela, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-dos-Santos, Marcos André, Movsesyan, Yeva, Mridha, Malay K, Msyamboza, Kelias P, Mu, Thet Thet, Muc, Magdalena, Muca, Florian, Mugoša, Boban, Muiesan, Maria L, Müller-Nurasyid, Martina, Münzel, Thomas, Mursu, Jaakko, Murtagh, Elaine M, Musa, Kamarul Imran, Musić Milanović, Sanja, Musil, Vera, Musinguzi, Geofrey, Muyer, Muel Telo, Nabipour, Iraj, Nagel, Gabriele, Najafi, Farid, Nakamura, Harunobu, Nalecz, Hanna, Námešná, Jana, Nang, Ei Ei K, Nangia, Vinay B, Nankap, Martin, Narake, Sameer, Narayan, KM Venkat, Nardone, Paola, Naseri, Take, Nathalie, Michels, Neal, William A, Neelapaichit, Nareemarn, Nejatizadeh, Azim, Nekkantti, Chandini, Nelis, Keiu, Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Ng, Tze Pin, Nguyen, Chung T, Nguyen, Nguyen D, Nguyen, Quang Ngoc, Ni, Michael Y, Nicolescu, Rodica, Nie, Peng, Nieto-Martínez, Ramfis E, Nikitin, Yury P, Ning, Guang, Ninomiya, Toshiharu, Nishi, Nobuo, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Nogueira, Helena, Nordendahl, Maria, Nordestgaard, Børge G, Norton, Kevin I, Noto, Davide, Nowak-Szczepanska, Natalia, Nsour, Mohannad Al, Nuhoğlu, Irfan, Nunes, Baltazar, Nurk, Eha, Nuwaha, Fred, Nyirenda, Moffat, O'Neill, Terence W, O'Reilly, Dermot, Obreja, Galina, Ochimana, Caleb, Ochoa-Avilés, Angélica M, Oda, Eiji, Odili, Augustine N, Oh, Kyungwon, Ohara, Kumiko, Ohlsson, Claes, Ohtsuka, Ryutaro, Olafsson, Örn, Oldenburg, Brian, Olinto, Maria Teresa A, Oliveira, Isabel O, Omar, Mohd Azahadi, Omar, Saeed M, Onat, Altan, Ong, Sok King, Onland-Moret, N Charlotte, Ono, Lariane M, Onodugo, Obinna, Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P, Ortiz, Pedro J, Osler, Merete, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Ottendahl, Charlotte B, Otu, Akaninyene, Overvad, Kim, Owusu-Dabo, Ellis, Oyeyemi, Adetoyeje Y, Oyeyemi, Adewale L, Paccaud, Fred Michel, Padez, Cristina P, Pagkalos, Ioannis, Pahomova, Elena, de Paiva, Karina Mary, Pająk, Andrzej, Pajula, Natalja, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Pandey, Arvind, Pang, Zengchang, Panza, Francesco, Paoli, Mariela, Papadopoulou, Sousana K, Papandreou, Dimitrios, Pareja, Rossina G, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R, Parsaeian, Mahboubeh, Pascanu, Ionela M, Pasquet, Patrick, Patel, Nikhil D, Pattussi, Marcos, Pavlyshyn, Halyna, Pechlaner, Raimund, Pećin, Ivan, Pednekar, Mangesh S, Pedro, João M, Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peres, Marco A, Perez-Londoño, Agustín, Pérez, Cynthia M, Peterkova, Valentina, Peters, Annette, Petkeviciene, Janina, Petrauskiene, Ausra, Petrovna Kovtun, Olga, Pettenuzzo, Emanuela, Peykari, Niloofar, Pfeiffer, Norbert, Phall, Modou Cheyassin, Pham, Son Thai, Phiri, Felix P, Pichardo, Rafael N, Pierannunzio, Daniela, Pierre-Marie, Preux, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Piler, Pavel, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N, Plans-Rubió, Pedro, Platonova, Alina G, Poh, Bee Koon, Pohlabeln, Hermann, Polka, Nadija S, Pop, Raluca M, Popkin, Barry M, Popovic, Stevo R, Porta, Miquel, Posch, Georg, Poudyal, Anil, Poulimeneas, Dimitrios, Pouraram, Hamed, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Price, Alison J, Price, Jacqueline F, Prista, Antonio, Providencia, Rui, Puder, Jardena J, Pudule, Iveta, Puhakka, Solie, Puiu, Maria, Punab, Margus, Qadir, Muhammed S, Qasrawi, Radwan F, Qiao, Qing, Qorbani, Mostafa, Quintana, Hedley K, Quiroga-Padilla, Pedro J, Quoc Bao, Tran, Rach, Stefan, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Rahman, Mahmudur, Raitakari, Olli, Raj, Manu, Rajabov, Tamerlan, Rakhmatulloev, Sherali, Rakovac, Ivo, Ramachandra Rao, Sudha, Ramachandran, Ambady, Ramadan, Otim PC, Ramires, Virgílio V, Ramirez-Zea, Manuel, Ramke, Jacqueline, Ramos, Elisabete, Ramos, Rafel, Rampal, Lekhraj, Rampal, Sanjay, Ramsay, Sheena E, Rangelova, Lalka S, Rarra, Vayia, Rascon-Pacheco, Ramon A, Rashidi, Mohammad-Mahdi, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M, Regecová, Valéria, Renner, Jane DP, Repasy, Judit A, Reuter, Cézane P, Revilla, Luis, Reynolds, Andrew, Rezaei, Negar, Rezaianzadeh, Abbas, Rho, Yeunsook, Ribas-Barba, Lourdes, Ribeiro, Robespierre, Riboli, Elio, Rigo, Fernando, Rigotti, Attilio, Rinaldo, Natascia, Rinke de Wit, Tobias F, Risérus, Ulf, Rito, Ana I, Ritti-Dias, Raphael M, Rivera, Juan A, Roa, Reina G, Robinson, Louise, Roccaldo, Romana, Rodrigues, Daniela, Rodriguez-Perez, María del Cristo, Rodríguez-Villamizar, Laura A, Rodríguez, Andrea Y, Roggenbuck, Ulla, Rohloff, Peter, Rohner, Fabian, Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Romeo, Elisabetta L, Rosario, Rafaela V, Rosengren, Annika, Rouse, Ian, Rouzier, Vanessa, Roy, Joel GR, Ruano, Maira H, Rubinstein, Adolfo, Rühli, Frank J, Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Ruiz Moreno, Emma, Rusakova, Iuliia A, Rusek, Wojciech, Russell Jonsson, Kenisha, Russo, Paola, Rust, Petra, Rutkowski, Marcin, Saamel, Marge, Saar, Crizian G, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sacchini, Elena, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saghi, Mohammad Hossien, Saidi, Olfa, Saieva, Calogero, Sakata, Satoko, Saki, Nader, Šalaj, Sanja, Salanave, Benoit, Salazar Martinez, Eduardo, Salhanova, Akkumis, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Samoutian, Margarita, Sánchez-Abanto, Jose, Sánchez Rodríguez, Inés, Sandjaja, Sans, Susana, Santa-Marina, Loreto, Santacruz, Ethel, Santos, Diana A, Santos, Ina S, Santos, Lèlita C, Santos, Maria Paula, Santos, Osvaldo, Santos, Rute, Santos, Tamara R, Saramies, Jouko L, Sardinha, Luis B, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Savy, Mathilde, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Schaffrath Rosario, Angelika, Schargrodsky, Herman, Schienkiewitz, Anja, Schindler, Karin, Schipf, Sabine, Schmidt, Börge, Schmidt, Carsten O, Schmidt, Ida Maria, Schneider, Andrea, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schultz, Gry, Schulze, Matthias B, Schutte, Aletta E, Sebert, Sylvain, Sedaghattalab, Moslem, Selamat, Rusidah, Sember, Vedrana, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Sequera, Guillermo, Serra-Majem, Luis, Servais, Jennifer, Ševčíková, Ľudmila, Sewpaul, Ronel, Shalnova, Svetlana, Shamah-Levy, Teresa, Shamshirgaran, Seyed Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K, Sharman, Almaz, Shaw, Jonathan E, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shimony, Tal, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M, Sidossis, Labros S, Silitrari, Natalia, Silva, Antonio M, Silva, Caroline Ramos de Moura, Silva, Diego Augusto Santos, Silva, Kelly Samara, Sim, Xueling, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöberg, Agneta, Sjöström, Michael, Skoblina, Elena V, Skoblina, Natalia A, Slazhnyova, Tatyana, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemysław, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Söderberg, Stefan, Soekatri, Moesijanti YE, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Solovieva, Yuliya V, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Soofi, Sajid, Sørensen, Thorkild IA, Sørgjerd, Elin P, Sossa Jérome, Charles, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sousa-Poza, Alfonso, Sovic, Slavica, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Spencer, Phoebe R, Spinelli, Angela, Spiroski, Igor, Staessen, Jan A, Stamm, Hanspeter, Stang, Andreas, Starc, Gregor, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Steinsbekk, Silje, Stergiou, George S, Stessman, Jochanan, Stevanović, Ranko, Stieber, Jutta, Stöckl, Doris, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suarez-Ortegón, Milton F, Suebsamran, Phalakorn, Sugiyama, Mindy, Suka, Machi, Sulo, Gerhard, Sun, Chien-An, Sun, Liang, Sund, Malin, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Sweis, Nabil William G, Swinburn, Boyd A, Sy, Rody G, Sylva, René Charles, Szponar, Lucjan, Tabone, Lorraine, Tai, E Shyong, Takuro, Furusawa, Tambalis, Konstantinos D, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Taxová Braunerová, Radka, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Te Velde, Saskia, Tebar, William R, Tell, Grethe S, Tello, Tania, Tessema, Masresha, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thomas, Nihal, Thorand, Barbara, Thrift, Amanda G, Tichá, Ľubica, Timmermans, Erik J, Tjandrarini, Dwi Hapsari, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Tomaszewski, Maciej, Topbas, Murat, Topór-Mądry, Roman, Torheim, Liv Elin, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Tremblay, Mark S, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsintavis, Panagiotis, Tsugane, Shoichiro, Tuitele, John, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Twig, Gilad, Tynelius, Per, Tzala, Evangelia, Tzotzas, Themistoklis, Tzourio, Christophe, Udoji, Nwannedimma, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Lippevelde, Wendy, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Vargas, Luz Nayibe, Varona-Pérez, Patricia, Vasan, Senthil K, Vasques, Daniel G, Vatasescu, Radu, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Verloigne, Maïté, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Vik, Frøydis N, Vilar, Monica, Villalpando, Salvador, Vioque, Jesus, Viriyautsahakul, Napaphan, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Vourli, Georgia, Voutilainen, Ari, Vrijheid, Martine, Vrijkotte, Tanja GM, Vuletić, Silvije, Wade, Alisha N, Waldhör, Thomas, Walton, Janette, Wambiya, Elvis OA, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Chongjian, Wang, Huijun, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wartha, Olivia, Weber, Adelheid, Wedderkopp, Niels, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Westbury, Leo D, Whincup, Peter H, Wichstrøm, Lars, Wickramasinghe, Kremlin, Widhalm, Kurt, Widyahening, Indah S, Więcek, Andrzej, Wild, Philipp S, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wirth, James P, Wojtyniak, Bogdan, Woldeyohannes, Meseret, Wolf, Kathrin, Wong-McClure, Roy A, Wong, Andrew, Wong, Emily B, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Hon-Yen, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Wyszyńska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Li, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yasuharu, Tabara, Yépez García, Martha, Yiallouros, Panayiotis K, Yngve, Agneta, Yoosefi, Moein, Yoshihara, Akihiro, Yotov, Yoto, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Yu, Yu-Ling, Yu, Yunjiang, Yusof, Safiah Md, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Zaw, Ko Ko, Zayed, Ayman A, Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zeng, Yi, Zentai, Andrea, Zhang, Bing, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhecheva, Yanitsa V, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zimmet, Paul, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuñiga Cisneros, Julio, Zuziak, Monika, and Ezzati, Majid

Published
2024
Full Text
View/download PDF

84. Efficacy of Coronary Calcium Score in Predicting Coronary Artery Morphology in Patients With Obstructive Coronary Artery Disease

Author

He, Xingwei, Maung, Soe, Ramasamy, Anantharaman, Mohamed, Mohamed O., Bajaj, Retesh, Yap, Nathan Angelo Lecaros, Karaduman, Medeni, Zhang, Yaojun, Kitslaar, Pieter, Broersen, Alexander, Reiber, Johan H.C., Dijkstra, Jouke, Serruys, Patrick W., Moon, James C., Baumbach, Andreas, Torii, Ryo, Pugliese, Francesca, and Bourantas, Christos V.

Published
2024
Full Text
View/download PDF

85. Efficacy of human experts and an automated segmentation algorithm in quantifying disease pathology in coronary computed tomography angiography: A head-to-head comparison with intravascular ultrasound imaging

Author

Çap, Murat, Ramasamy, Anantharaman, Parasa, Ramya, Tanboga, Ibrahim H., Maung, Soe, Morgan, Kimberley, Yap, Nathan A.L., Abou Gamrah, Mazen, Sokooti, Hessam, Kitslaar, Pieter, Reiber, Johan H.C., Dijkstra, Jouke, Torii, Ryo, Moon, James C., Mathur, Anthony, Baumbach, Andreas, Pugliese, Francesca, and Bourantas, Christos V.

Published
2024
Full Text
View/download PDF

90. Novel Response Surface Technique for Composite Structure Localization Using Variable Acoustic Emission Velocity

Author

Binayak Bhandari, Phyo Thu Maung, and Gangadhara B. Prusty

Subjects
acoustic emission, composite laminates, localization, least-square method, response surface, velocity attenuation, Chemical technology, TP1-1185
Abstract

The time difference of arrival (TDOA) method has traditionally proven effective for locating acoustic emission (AE) sources and detecting structural defects. Nevertheless, its applicability is constrained when applied to anisotropic materials, particularly in the context of fiber-reinforced composite structures. In response, this paper introduces a novel COmposite LOcalization using Response Surface (COLORS) algorithm based on a two-step approach for precise AE source localization suitable for laminated composite structures. Leveraging a response surface developed from critical parameters, including AE velocity profiles, attenuation rates, distances, and orientations, the proposed method offers precise AE source predictions. The incorporation of updated velocity data into the algorithm yields superior localization accuracy compared to the conventional TDOA approach relying on the theoretical AE propagation velocity. The mean absolute error (MAE) for COLORS and TDOA were found to be 6.97 mm and 8.69 mm, respectively. Similarly, the root mean square error (RMSE) for COLORS and TODA methods were found to be 9.24 mm and 12.06 mm, respectively, indicating better performance of the COLORS algorithm in the context of source location accuracy. The finding underscores the significance of AE signal attenuation in minimizing AE wave velocity discrepancies and enhancing AE localization precision. The outcome of this investigation represents a substantial advancement in AE localization within laminated composite structures, holding potential implications for improved damage detection and structural health monitoring of composite structures.

Published
2024
Full Text
View/download PDF

91. Time-varying Forecast Combination for High-Dimensional Data

Author

Chen, Bin and Maung, Kenwin

Subjects
Economics - Econometrics
Abstract

In this paper, we propose a new nonparametric estimator of time-varying forecast combination weights. When the number of individual forecasts is small, we study the asymptotic properties of the local linear estimator. When the number of candidate forecasts exceeds or diverges with the sample size, we consider penalized local linear estimation with the group SCAD penalty. We show that the estimator exhibits the oracle property and correctly selects relevant forecasts with probability approaching one. Simulations indicate that the proposed estimators outperform existing combination schemes when structural changes exist. Two empirical studies on inflation forecasting and equity premium prediction highlight the merits of our approach relative to other popular methods.

Published
2020

92. Genetic surveillance in the Greater Mekong subregion and South Asia to support malaria control and elimination.

Author

Jacob, Christopher G, Thuy-Nhien, Nguyen, Mayxay, Mayfong, Maude, Richard J, Quang, Huynh Hong, Hongvanthong, Bouasy, Vanisaveth, Viengxay, Ngo Duc, Thang, Rekol, Huy, van der Pluijm, Rob, von Seidlein, Lorenz, Fairhurst, Rick, Nosten, François, Hossain, Md Amir, Park, Naomi, Goodwin, Scott, Ringwald, Pascal, Chindavongsa, Keobouphaphone, Newton, Paul, Ashley, Elizabeth, Phalivong, Sonexay, Maude, Rapeephan, Leang, Rithea, Huch, Cheah, Dong, Le Thanh, Nguyen, Kim-Tuyen, Nhat, Tran Minh, Hien, Tran Tinh, Nguyen, Hoa, Zdrojewski, Nicole, Canavati, Sara, Sayeed, Abdullah Abu, Uddin, Didar, Buckee, Caroline, Fanello, Caterina I, Onyamboko, Marie, Peto, Thomas, Tripura, Rupam, Amaratunga, Chanaki, Myint Thu, Aung, Delmas, Gilles, Landier, Jordi, Parker, Daniel M, Chau, Nguyen Hoang, Lek, Dysoley, Suon, Seila, Callery, James, Jittamala, Podjanee, Hanboonkunupakarn, Borimas, Pukrittayakamee, Sasithon, Phyo, Aung Pyae, Smithuis, Frank, Lin, Khin, Thant, Myo, Hlaing, Tin Maung, Satpathi, Parthasarathi, Satpathi, Sanghamitra, Behera, Prativa K, Tripura, Amar, Baidya, Subrata, Valecha, Neena, Anvikar, Anupkumar R, Ul Islam, Akhter, Faiz, Abul, Kunasol, Chanon, Drury, Eleanor, Kekre, Mihir, Ali, Mozam, Love, Katie, Rajatileka, Shavanthi, Jeffreys, Anna E, Rowlands, Kate, Hubbart, Christina S, Dhorda, Mehul, Vongpromek, Ranitha, Kotanan, Namfon, Wongnak, Phrutsamon, Almagro Garcia, Jacob, Pearson, Richard D, Ariani, Cristina V, Chookajorn, Thanat, Malangone, Cinzia, Nguyen, T, Stalker, Jim, Jeffery, Ben, Keatley, Jonathan, Johnson, Kimberly J, Muddyman, Dawn, Chan, Xin Hui S, Sillitoe, John, Amato, Roberto, Simpson, Victoria, Gonçalves, Sonia, Rockett, Kirk, Day, Nicholas P, Dondorp, Arjen M, Kwiatkowski, Dominic P, and Miotto, Olivo

Subjects
asia, drug resistance, epidemiology, genetic surveillance, global health, infectious disease, malaria, microbiology, Biochemistry and Cell Biology
Abstract

BackgroundNational Malaria Control Programmes (NMCPs) currently make limited use of parasite genetic data. We have developed GenRe-Mekong, a platform for genetic surveillance of malaria in the Greater Mekong Subregion (GMS) that enables NMCPs to implement large-scale surveillance projects by integrating simple sample collection procedures in routine public health procedures.MethodsSamples from symptomatic patients are processed by SpotMalaria, a high-throughput system that produces a comprehensive set of genotypes comprising several drug resistance markers, species markers and a genomic barcode. GenRe-Mekong delivers Genetic Report Cards, a compendium of genotypes and phenotype predictions used to map prevalence of resistance to multiple drugs.ResultsGenRe-Mekong has worked with NMCPs and research projects in eight countries, processing 9623 samples from clinical cases. Monitoring resistance markers has been valuable for tracking the rapid spread of parasites resistant to the dihydroartemisinin-piperaquine combination therapy. In Vietnam and Laos, GenRe-Mekong data have provided novel knowledge about the spread of these resistant strains into previously unaffected provinces, informing decision-making by NMCPs.ConclusionsGenRe-Mekong provides detailed knowledge about drug resistance at a local level, and facilitates data sharing at a regional level, enabling cross-border resistance monitoring and providing the public health community with valuable insights. The project provides a rich open data resource to benefit the entire malaria community.FundingThe GenRe-Mekong project is funded by the Bill and Melinda Gates Foundation (OPP11188166, OPP1204268). Genotyping and sequencing were funded by the Wellcome Trust (098051, 206194, 203141, 090770, 204911, 106698/B/14/Z) and Medical Research Council (G0600718). A proportion of samples were collected with the support of the UK Department for International Development (201900, M006212), and Intramural Research Program of the National Institute of Allergy and Infectious Diseases.

Published
2021

93. Prevalence of G6PD deficiency and diagnostic accuracy of a G6PD point-of-care test among a population at risk of malaria in Myanmar

Author

Than Htike Aung, Chayanut Suansomjit, Zaw Min Tun, Tin Maung Hlaing, Jaranit Kaewkungwal, Liwang Cui, Jetsumon Sattabongkot, and Wanlapa Roobsoong

Subjects
G6PD deficiency, G6PD variant, Diagnosis, Prevalence, Malaria, Myanmar, Arctic medicine. Tropical medicine, RC955-962, Infectious and parasitic diseases, RC109-216
Abstract

Abstract Background Over the past decade, the incidence of malaria has steadily declined in Myanmar, with Plasmodium vivax becoming predominant. The resilience of P. vivax to malaria control is attributed to the parasite’s ability to form hypnozoites in the host’s liver, which can cause relapse. Primaquine is used to eliminate hypnozoites but can cause haemolysis in glucose-6-phosphate dehydrogenase (G6PD)-deficient individuals. It is thus necessary to estimate the frequency and variant types of G6PD deficiency in areas where primaquine will be widely used for P. vivax elimination. Methods In this study, a descriptive cross-sectional survey was conducted to determine the prevalence of G6PD deficiency in a population residing in Nay Pyi Taw, Myanmar, using a standard spectrophotometric assay, a rapid diagnostic test (RDT), Biosensor, and by genotyping G6PD variants. Results G6PD enzyme activity was determined from 772 leukocyte-depleted samples, with an adjusted male median G6PD activity value of 6.3 U/g haemoglobin. Using a cut-off value of 30% enzyme activity, the overall prevalence of G6PD deficiency was 10.8%. Genotyping of G6PD variants was performed for 536 samples, of which 131 contained mutations. The Mahidol variant comprised the majority, and males with the Mahidol variant showed lower G6PD enzyme activity. The G6PD Andalus variant, which has not been reported in Myanmar before, was also identified in this study. Conclusion This study provides a G6PD enzyme activity reference value for the Myanmar population and further information on the prevalence and variants of G6PD deficiency among the Myanmar population; it also evaluates the feasibility of G6PD deficiency tests.

Published
2023
Full Text
View/download PDF

94. Understanding the Interplay of Transport‐Morphology‐Performance in PBDB‐T‐Based Polymer Solar Cells

Author

Zhang, Qilin, Yuan, Xin, Feng, Yifeng, Larson, Bryon W, Su, Gregory M, Maung, Yin Maung, Rujisamphan, Nopporn, Li, Youyong, Yuan, Jianyu, and Ma, Wanli

Subjects
Affordable and Clean Energy
Abstract

Polymer–polymer blends have been reported to exhibit exceptional thermal and ambient stability. However, power conversion efficiencies (PCEs) from devices using polymeric acceptors have been recorded to be significantly lower than those based on conjugated molecular acceptors. Herein, two organic nonfullerene bulk heterojunction (BHJ) blends ITIC:PBDB-T and N2200:PBDB-T, together with their fullerene counterpart, PCBM:PBDB-T, are adopted to understand the effect of electron acceptors on device performance. Free charge carrier properties using time-resolved microwave conductivity (TRMC) measurements are comprehensively investigated. The nonfullerene devices show an improved PCE of 10.06% and 6.65% in the ITIC- and N2200-based cells, respectively. In comparison, the PCBM:PBDB-T-based devices yield a PCE of 5.88%. The optimal N2200:PBDB-T produced the highest TRMC mobility, longest lifetime, and greatest free-carrier diffusion length. It is found that such phenomena can be associated with the unfavorable morphology of the all-polymer BHJ microstructure. In contrast, the solar cells using either the PCBM or ITIC acceptors display a more balanced donor and acceptor phase separation, leading to more efficient free-carrier separation and transport in the operating device. By sacrificing efficiency for superior stability, it is shown that the improved structure in all-polymer blend can deliver a more stable morphology under thermal stress.

Published
2020

96. Printed high-mobility p-type buffer layers on perovskite photovoltaics for efficient semi-transparent devices

Author

Jagt, Robert A., Huq, Tahmida N., Hill, Sam A., Thway, Maung, Liu, Tianyuan, Napari, Mari, Roose, Bart, Gałkowsk, Krzysztof, Li, Weiwei, Lin, Serena Fen, Stranks, Samuel D., MacManus-Driscoll, Judith L., and Hoye, Robert L. Z.

Subjects
Physics - Applied Physics
Abstract

Perovskite solar cells (PSCs) with transparent electrodes can be integrated with existing solar panels in tandem configurations to increase the power conversion efficiency. A critical layer in semi-transparent PSCs is the inorganic buffer layer, which protects the PSC against damage when the transparent electrode is sputtered on top. The development of n-i-p structured semi-transparent PSCs has been hampered by the lack of suitable p-type buffer layers. In this work we develop a p-type CuOx buffer layer, which can be grown uniformly over the perovskite device without damaging the perovskite or organic charge transport layers, can be grown using industrially scalable techniques and has high hole mobility (4.3 +/- 2 cm2 V-1 s-1), high transmittance (>95%), and a suitable ionisation potential for hole extraction (5.3 +/- 0.2 eV). Semi-transparent PSCs with efficiencies up to 16.7% are achieved using the CuOx buffer layer. Our work demonstrates a new approach to integrate PSCs into tandem configurations, as well as enable the development of other devices that need high quality p-type layers.

Published
2020
Full Text
View/download PDF

97. A cell-and-plasma numerical model reveals hemodynamic stress and flow adaptation in zebrafish microvessels after morphological alteration.

Author

Swe Soe Maung Ye and Li-Kun Phng

Subjects
Biology (General), QH301-705.5
Abstract

The development of a functional cardiovascular system ensures a sustainable oxygen, nutrient and hormone delivery system for successful embryonic development and homeostasis in adulthood. While early vessels are formed by biochemical signaling and genetic programming, the onset of blood flow provides mechanical cues that participate in vascular remodeling of the embryonic vascular system. The zebrafish is a prolific animal model for studying the quantitative relationship between blood flow and vascular morphogenesis due to a combination of favorable factors including blood flow visualization in optically transparent larvae. In this study, we have developed a cell-and-plasma blood transport model using computational fluid dynamics (CFD) to understand how red blood cell (RBC) partitioning affect lumen wall shear stress (WSS) and blood pressure in zebrafish trunk blood vascular networks with altered rheology and morphology. By performing live imaging of embryos with reduced hematocrit, we discovered that cardiac output and caudal artery flow rates were maintained. These adaptation trends were recapitulated in our CFD models, which showed reduction in network WSS via viscosity reduction in the caudal artery/vein and via pressure gradient weakening in the intersegmental vessels (ISVs). Embryos with experimentally reduced lumen diameter showed reduced cardiac output and caudal artery flow rate. Factoring in this trend into our CFD models, simulations highlighted that lumen diameter reduction increased vessel WSS but this increase was mitigated by flow reduction due to the adaptive network pressure gradient weakening. Additionally, hypothetical network CFD models with different vessel lumen diameter distribution characteristics indicated the significance of axial variation in lumen diameter and cross-sectional shape for establishing physiological WSS gradients along ISVs. In summary, our work demonstrates how both experiment-driven and hypothetical CFD modeling can be employed for the study of blood flow physiology during vascular remodeling.

Published
2023
Full Text
View/download PDF

98. Protection of the third-dose and fourth-dose mRNA vaccines against SARS-CoV-2 Omicron subvariant: a systematic review and meta-analysis

Author

Daisuke Yoneoka, Taro Kamigaki, Erika Ota, Rei Haruyama, Moe Moe Thandar, Motoi Suzuki, Md. Obaidur Rahman, Fangyu Yan, Miho Shibamura-Fujiogi, July Khin Maung Soe, Md. Rafiqul Islam, and Reiko Miyahara

Subjects
Medicine
Abstract

Objectives The rapid spread of the SARS-CoV-2 Omicron variant has raised concerns regarding waning vaccine-induced immunity and durability. We evaluated protection of the third-dose and fourth-dose mRNA vaccines against SARS-CoV-2 Omicron subvariant and its sublineages.Design Systematic review and meta-analysis.Data sources Electronic databases and other resources (PubMed, Embase, CENTRAL, MEDLINE, CINAHL PLUS, APA PsycINFO, Web of Science, Scopus, ScienceDirect, MedRxiv and bioRxiv) were searched until December 2022.Study eligibility criteria We included studies that assessed the effectiveness of mRNA vaccine booster doses against SARS-CoV-2 infection and severe COVID-19 outcomes caused by the subvariant.Data extraction and synthesis Estimates of vaccine effectiveness (VE) at different time points after the third-dose and fourth-dose vaccination were extracted. Random-effects meta-analysis was used to compare VE of the third dose versus the primary series, no vaccination and the fourth dose at different time points. The certainty of the evidence was assessed by Grading of Recommendations, Assessments, Development and Evaluation approach.Results This review included 50 studies. The third-dose VE, compared with the primary series, against SARS-CoV-2 infection was 48.86% (95% CI 44.90% to 52.82%, low certainty) at ≥14 days, and gradually decreased to 38.01% (95% CI 13.90% to 62.13%, very low certainty) at ≥90 days after the third-dose vaccination. The fourth-dose VE peaked at 14–30 days (56.70% (95% CI 50.36% to 63.04%), moderate certainty), then quickly declined at 61–90 days (22% (95% CI 6.40% to 37.60%), low certainty). Compared with no vaccination, the third-dose VE was 75.84% (95% CI 40.56% to 111.12%, low certainty) against BA.1 infection, and 70.41% (95% CI 49.94% to 90.88%, low certainty) against BA.2 infection at ≥7 days after the third-dose vaccination. The third-dose VE against hospitalisation remained stable over time and maintained 79.30% (95% CI 58.65% to 99.94%, moderate certainty) at 91–120 days. The fourth-dose VE up to 60 days was 67.54% (95% CI 59.76% to 75.33%, moderate certainty) for hospitalisation and 77.88% (95% CI 72.55% to 83.21%, moderate certainty) for death.Conclusion The boosters provided substantial protection against severe COVID-19 outcomes for at least 6 months, although the duration of protection remains uncertain, suggesting the need for a booster dose within 6 months of the third-dose or fourth-dose vaccination. However, the certainty of evidence in our VE estimates varied from very low to moderate, indicating significant heterogeneity among studies that should be considered when interpreting the findings for public health policies.PROSPERO registration number CRD42023376698.

Published
2023
Full Text
View/download PDF

99. Reported recommendations to address cardiovascular risk factors differ by socio-economic status in Brazil. Results from the Brazilian National Health Survey 2019

Author

Pollyanna Patriota, Ko Ko Maung, and Pedro Marques-Vidal

Subjects
Lifestyle recommendations, Epidemiology, Cardiovascular risk factor, Dietary recommendations, Socio-economic status, Medicine
Abstract

Background: Management of cardiovascular risk factors (high cholesterol, diabetes, and hypertension) should start by implementing a healthy lifestyle. Whereas lifestyle recommendations are provided irrespective of the patient’s socio-economic status has not been recently assessed in the Brazilian population. Aims: To assess the preventive measures against cardiovascular risk factors according to educational level and income in the Brazilian population. Methods: Survey data of the 2019 Brazilian National Health Survey (PNS). The PNS is a nationwide household-based survey carried out by the Brazilian Ministry of Health. The PNS included face-to-face interviews and collected information on lifestyle management of high cholesterol, diabetes, and hypertension by a healthy diet, an adequate weight, exercise, and quitting smoking. The participant’s educational level and income (in multiples of the basic salary per capita) was collected. Results: Of the 88,052 participants included, 13,151 (14.9%), 6,986 (7.9%) and 22,516 (25.6%) reported being diagnosed with high cholesterol, diabetes, or hypertension, respectively. Dietary recommendations were the most frequently provided (94.5%, 94.6% and 88.1% for high cholesterol diabetes, and hypertension, respectively), while recommendations to quit smoking to current smokers were the least frequently provided (74.9%, 85.8% and 81.1% for high cholesterol, diabetes, and hypertension, respectively). After multivariable adjustment, participants with a higher educational level or a higher income had a higher likelihood of reporting receipt lifestyle recommendations for high cholesterol or hypertension, while no associations were found for most recommendations for diabetes. Conclusion: Better-educated, wealthier Brazilians report receiving more lifestyle recommendations regarding high cholesterol and hypertension management more frequently than lower-educated or with low-income.

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results