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Wang F, Wu Q, Zhang Q, Ma S, Wang K, Jian H, Zhang Y. Gegen Qinlian Decoction Combined with Conventional Western Medicine for the Treatment of Infectious Diarrhea: A Systematic Review and Trial Sequential Analysis. Complement Med Res 2024:1-16. [PMID: 39137735 DOI: 10.1159/000540793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 08/06/2024] [Indexed: 08/15/2024]
Abstract
INTRODUCTION Infectious diarrhea (ID) is a highly prevalent disease worldwide that poses a substantial risk to human well-being. In China, numerous clinical studies have investigated the efficacy of Gegen Qinlian decoction (GGQLD) in treating ID. However, there is a need for additional rigorous and evidence-based medical research to enhance physicians' confidence in their prescribing practices. METHODS Seven Chinese and English databases were systematically searched. The Cochrane Risk of Bias tool was used to assess the quality of the included studies. Meta-analysis was conducted using RevMan 5.3, and Stata 16.0 was used for the sensitivity analysis. Trial sequential analysis was performed using TSA v0.9, and GRADEprofiler was utilized to evaluate the quality of evidence. RESULTS A total of 12 randomized controlled trials (RCTs) involving 1,240 patients were included. The meta-analysis demonstrated that the combination of GGQLD with conventional Western medicine had better effects on clinical efficacy (relative risk [RR] = 1.15, 95% confidence interval [CI] [1.10, 1.20]), duration of diarrhea symptoms (weighted mean difference [WMD] = -10.96, 95% CI [-11.97, -9.96]), duration of abdominal pain symptoms (WMD = -12.01, 95% CI [-14.12, -9.90]), duration of fever symptoms (WMD = -11.91, 95% CI [-13.39, -10.43]), interleukin-6 levels (WMD = -113.59, 95% CI [-113.03, -108.14]), and tumor necrosis factor-α levels (WMD = -62.18, 95% CI [-65.25, -59.11]) and that no significant adverse reactions occurred (RR = 0.45, 95% CI [0.10, 1.97]). The sample size of the included studies reached the expected size. The quality of evidence for outcome indicators was rated as low or very low. CONCLUSIONS The combination of GGQLD with conventional Western medicine demonstrates promising efficacy and safety in treating ID. Nonetheless, more high-quality RCTs are required to confirm this conclusion.
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Affiliation(s)
- Fei Wang
- College of Graduate Studies, Jiangxi University of Chinese Medicine, Nanchang, China
- Academician Workstation, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Qianyan Wu
- College of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Qingyuan Zhang
- College of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Shuaishuai Ma
- Academician Workstation, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Kangyi Wang
- College of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Hui Jian
- College of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, China
| | - Ying Zhang
- College of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, China
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Geremew G, Cumming O, Haddis A, Freeman MC, Ambelu A. Rainfall and Temperature Influences on Childhood Diarrhea and the Effect Modification Role of Water and Sanitation Conditions: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:823. [PMID: 39063400 PMCID: PMC11276699 DOI: 10.3390/ijerph21070823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/26/2024] [Accepted: 04/29/2024] [Indexed: 07/28/2024]
Abstract
The latest report from the Intergovernmental Panel on Climate Change (IPCC) highlighted the worsening impacts of climate change. Two climate factors-temperature and rainfall uncertainties-influence the risk of childhood diarrhea, which remains a significant cause of morbidity and mortality in low- and middle-income countries. They create a conducive environment for diarrhea-causing pathogens and overwhelm environmental prevention measures. This study aimed to produce comprehensive evidence on the association of temperature and rainfall variability with the risk of childhood diarrhea and the influence of water and sanitation conditions on those associations. We conducted a systematic review and meta-analysis using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) approach. Records published in English from 2006 to 2023 were searched on 8 January 2024 via PubMed, EMBASE, ScienceDirect, Scopus, the Cochrane Library, and Google/Google Scholar using comprehensive search terms. We assessed studies for any risk of bias using the Navigation Guide and rated the quality of the evidence using the GRADE approach. The heterogeneity among estimates was assessed using I-squared statistics (I2). The findings of the analysis were presented with forest plots using an incidence rate ratio (IRR). A meta-analysis was conducted on effect modifiers (water supply and sanitation conditions) using a random effects model with a 95% confidence interval (CI). The statistical analyses were conducted using R 4.3.2 software and Review Manager 5.3. A total of 2017 records were identified through searches, and only the 36 articles that met the inclusion criteria were included. The analysis suggests a small positive association between increased temperature and the occurrence of under-five diarrhea, with the pooled IRR = 1.04; 95% CI [1.03, 1.05], at I2 = 56% and p-value < 0.01, and increased rainfall and U5 diarrhea, with IRR = 1.14; 95% CI [1.03, 1.27], at I2 = 86% and p-value < 0.01. The meta-analysis indicated a positive association between unimproved latrine facilities and drinking water sources with a rainfall-modified effect on U5 diarrhea, with IRR = 1.21; 95% CI [0.95, 1.53], at I2 = 62% and p-value = 0.03. We found that an increase in mean temperature and rainfall was associated with an increased risk of childhood diarrhea. Where there were unimproved latrine facilities and drinking water sources, the increase in mean rainfall or temperature would increase the incidence of childhood diarrhea. The results of this review help in assessing the effectiveness of current intervention programs, making changes as needed, or creating new initiatives to lower the prevalence of childhood diarrhea.
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Affiliation(s)
- Gorfu Geremew
- Department of Environmental Health Science and Technology, Jimma University, Jimma P.O. Box 378, Ethiopia;
| | - Oliver Cumming
- Department of Disease Control, Faculty of Infectious Tropical Disease, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK;
| | - Alemayehu Haddis
- Department of Environmental Health Science and Technology, Jimma University, Jimma P.O. Box 378, Ethiopia;
| | - Matthew C. Freeman
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA;
| | - Argaw Ambelu
- Division of Water and Health, Ethiopian Institute of Water Resources, Addis Ababa University, Addis Ababa P.O. Box 1165, Ethiopia;
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Wang W, Yang K, Li J, Jiang H, Zhang S, Lin Y, Zhang X, Jin M, Wang J, Tang M, Chen K. Association between ambient temperature and risk of notifiable infectious diseases in China from 2011 to 2019. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-13. [PMID: 38713481 DOI: 10.1080/09603123.2024.2350609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 04/26/2024] [Indexed: 05/08/2024]
Abstract
Previous studies on temperature and infectious diseases primarily focused on individual disease types, yielding inconsistent conclusions. This study collected monthly data on notifiable infectious disease cases and meteorological variables across 7 provinces in China from 2011 to 2019. A distributed lag nonlinear model was used to evaluate the association between ambient temperature and infectious diseases within each province, and random meta-analysis was applied to evaluate the pooled effect. Extreme hot temperature (the 97.5th percentile) was positively associated with the risk of respiratory infectious diseases with the relative risk (RR) of 1.45 (95%CI: 1.01-2.08). Conversely, extreme cold temperature (the 2.5th percentile) was negatively associated with intestinal infectious diseases and zoonotic diseases and vector-borne diseases, reporting RRs of 0.43 (95%CI: 0.30-0.60) and 0.46 (95%CI: 0.38-0.57), respectively. This study described the nonlinear association between ambient temperature and infectious diseases with different transmission routes, informing comprehensive prevention and control strategies for temperature-related infectious diseases.
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Affiliation(s)
- Wenqing Wang
- Department of Public Health, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kaixuan Yang
- Department of Public Health, The Fourth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine, Yiwu, China
| | - Jiayi Li
- Department of Public Health, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Haiyan Jiang
- Department of Public Health, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Simei Zhang
- Department of Public Health, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yaoyao Lin
- Department of Public Health, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xinhan Zhang
- Department of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Mingjuan Jin
- Department of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianbing Wang
- Department of Public Health, National Clinical Research Center for Child Health of Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Mengling Tang
- Department of Public Health, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kun Chen
- Department of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Nguyen AT, Grembi JA, Riviere M, Barratt Heitmann G, Hutson WD, Athni TS, Patil A, Ercumen A, Lin A, Crider Y, Mertens A, Unicomb L, Rahman M, Luby SP, Arnold BF, Benjamin-Chung J. Influence of Temperature and Precipitation on the Effectiveness of Water, Sanitation, and Handwashing Interventions against Childhood Diarrheal Disease in Rural Bangladesh: A Reanalysis of the WASH Benefits Bangladesh Trial. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:47006. [PMID: 38602833 PMCID: PMC11008709 DOI: 10.1289/ehp13807] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 03/08/2024] [Accepted: 03/13/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Diarrheal disease is a leading cause of childhood morbidity and mortality globally. Household water, sanitation, and handwashing (WASH) interventions can reduce exposure to diarrhea-causing pathogens, but meteorological factors may impact their effectiveness. Information about effect heterogeneity under different weather conditions is critical to refining these targeted interventions. OBJECTIVES We aimed to determine whether temperature and precipitation modified the effect of low-cost, point-of-use WASH interventions on child diarrhea. METHODS We analyzed data from a trial in rural Bangladesh that compared child diarrhea prevalence between clusters (N = 720 ) that were randomized to different WASH interventions between 2012 and 2016 (NCT01590095). We matched temperature and precipitation measurements to diarrhea outcomes (N = 12,440 measurements, 6,921 children) by geographic coordinates and date. We estimated prevalence ratios (PRs) using generative additive models and targeted maximum likelihood estimation to assess the effectiveness of each WASH intervention under different weather conditions. RESULTS Generally, WASH interventions most effectively prevented diarrhea during monsoon season, particularly following weeks with heavy rain or high temperatures. The PR for diarrhea in the WASH interventions group compared with the control group was 0.49 (95% CI: 0.35, 0.68) after 1 d of heavy rainfall, with a less-protective effect [PR = 0.87 (95% CI: 0.60, 1.25)] when there were no days with heavy rainfall. Similarly, the PR for diarrhea in the WASH intervention group compared with the control group was 0.60 (95% CI: 0.48, 0.75) following above-median temperatures vs. 0.91 (95% CI: 0.61, 1.35) following below-median temperatures. The influence of precipitation and temperature varied by intervention type; for precipitation, the largest differences in effectiveness were for the sanitation and combined WASH interventions. DISCUSSION WASH intervention effectiveness was strongly influenced by precipitation and temperature, and nearly all protective effects were observed during the rainy season. Future implementation of these interventions should consider local environmental conditions to maximize effectiveness, including targeted efforts to maintain latrines and promote community adoption ahead of monsoon seasons. https://doi.org/10.1289/EHP13807.
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Affiliation(s)
- Anna T. Nguyen
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
| | - Jessica A. Grembi
- Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, California, USA
| | - Marie Riviere
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
| | | | - William D. Hutson
- Brown School, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Tejas S. Athni
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Arusha Patil
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
| | - Ayse Ercumen
- Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, North Carolina, USA
| | - Audrie Lin
- Department of Microbiology and Environmental Toxicology, University of California, Santa Cruz, Santa Cruz, California, USA
| | - Yoshika Crider
- King Center on Global Development, Stanford University, Stanford, California, USA
| | - Andrew Mertens
- Division of Epidemiology and Biostatistics, University of California, Berkeley, Berkeley, California, USA
| | - Leanne Unicomb
- Environmental Health and WASH, Health System and Population Studies Division, ICDDR,B, Dhaka, Bangladesh
| | - Mahbubur Rahman
- Environmental Health and WASH, Health System and Population Studies Division, ICDDR,B, Dhaka, Bangladesh
| | - Stephen P. Luby
- Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, California, USA
| | - Benjamin F. Arnold
- Francis I. Proctor Foundation, University of California, San Francisco, San Francisco, California, USA
| | - Jade Benjamin-Chung
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
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Wang P, Asare EO, Pitzer VE, Dubrow R, Chen K. Floods and Diarrhea Risk in Young Children in Low- and Middle-Income Countries. JAMA Pediatr 2023; 177:1206-1214. [PMID: 37782513 PMCID: PMC10546297 DOI: 10.1001/jamapediatrics.2023.3964] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 08/08/2023] [Indexed: 10/03/2023]
Abstract
Importance Climate change is associated with more frequent and intense floods. Current research on the association between flood exposure and diarrhea risk is limited mainly to short-term and event-specific analyses. Moreover, how prior drought or water, sanitation, and hygiene (WaSH) practices influence this association remains largely unknown. Objective To examine the association between flood exposure and diarrhea risk among children younger than 5 years and to evaluate the compounding influence of prior drought and effect modification by WaSH. Design, Setting, and Participants This cross-sectional study included multicluster surveys conducted by the Demographic and Health Surveys Program in 43 low- and middle-income countries during 2009 through 2019. This study included children younger than 5 years in all households from each survey cluster. Collected data were analyzed between September 1 and December 31, 2022. Exposures Historical flood events during 2009 through 2019 were obtained from the Dartmouth Flood Observatory. Main Outcome and Measures The main outcome was diarrhea prevalence among children younger than 5 years in the 2 weeks before the survey was conducted. Results were analyzed by binomial generalized linear mixed-effects logistic regression models with nested random intercepts for country and survey cluster. Results Among 639 250 children making up the complete data series (excluding 274 847 children with missing values for diarrhea or baseline characteristics), 6365 (mean [SD] age, 28.9 [17.2] months; 3214 boys [50.5%]; 3151 girls [49.5%]) were exposed to floods during the 8 weeks after a flood started. The prevalence of diarrhea was 13.2% (n = 839) among exposed children and 12.7% (n = 80 337) among unexposed children. Exposure to floods was associated with increased diarrhea risk, with the highest odds ratio (OR) observed during the second to fourth weeks after floods started (OR, 1.35; 95% CI, 1.05-1.73). When floods were stratified by severity and duration, significant associations were observed only for extreme floods (OR during the third to fifth weeks, 2.07; 95% CI, 1.37-3.11) or floods lasting more than 2 weeks (OR during the second to fourth weeks, 1.47; 95% CI, 1.13-1.92), with significantly stronger associations than for less extreme floods or shorter-duration floods, respectively. The OR during the first 4 weeks after the start of floods was significantly higher for floods preceded by a 6-month or longer drought (12-month drought OR, 1.96; 95% CI, 1.53-2.52) than for floods not preceded by a 6-month or longer drought (12-month drought OR, 1.00; 95% CI, 0.79-1.27). Conclusions These findings suggest that floods, especially severe floods, long-duration floods, and floods preceded by drought, are associated with an increased risk of diarrhea among children younger than 5 years living in low- and middle-income countries. With the projected increasing frequency and intensity of floods and drought under climate change, greater collective efforts are needed to protect children's health from these compounding events.
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Affiliation(s)
- Pin Wang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut
- Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, Connecticut
| | - Ernest O. Asare
- Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut
| | - Virginia E. Pitzer
- Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut
| | - Robert Dubrow
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut
- Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, Connecticut
| | - Kai Chen
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut
- Yale Center on Climate Change and Health, Yale School of Public Health, New Haven, Connecticut
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Nandi S, Swain S. Analysis of heatwave characteristics under climate change over three highly populated cities of South India: a CMIP6-based assessment. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:99013-99025. [PMID: 35932349 DOI: 10.1007/s11356-022-22398-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 08/01/2022] [Indexed: 06/15/2023]
Abstract
Climate change is arguably the most alarming global concern of the twenty-first century, particularly due to the increased frequency of meteorological extremes, e.g., heatwaves, droughts, and floods. Heatwaves are considered a potential health risk and urge further study, robust preparedness, and policy framing. This study presents an analysis of heatwave characteristics for historical (1980-2014), near-future (2021-2055), and far-future (2056-2090) scenarios over three highly populated cities of South India, i.e., Bangalore, Chennai, and Hyderabad. Two different approaches, i.e., the India Meteorological Department (IMD) criterion and the percentile-based criterion, are considered for defining the threshold of a heatwave day. Nine general circulation models (GCMs) from the Coupled Model Inter-comparison Project phase 6 (CMIP6) experiment are selected, evaluated after bias correction, and the best performer was utilized to obtain the temperature projections corresponding to two shared socioeconomic pathways (SSP 2-4.5 and 5-8.5) for the future periods. The results reveal a high frequency of heatwave days over the cities in recent years from both approaches, which may further exacerbate in the future, thereby putting a large population at risk. The number of heatwave days is much higher for SSP5-8.5 than that for SSP2-4.5, depicting the direct effects of anthropogenic activities on the frequency of heatwaves. The detailed analysis of heatwave projections will help develop equitable heat resilient mitigation and adaptation strategies for the future, thereby alleviating their pernicious impacts.
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Affiliation(s)
- Saswata Nandi
- Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, India, 400076
| | - Sabyasachi Swain
- Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee, India, 247667.
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Song X, Guo X, Hu X, Zhang Y, Wei D, Hu Y, Jiang L, Zhang Y. Human exposure risk assessment for infectious diseases due to temperature and air pollution: an overview of reviews. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:88272-88280. [PMID: 37440140 DOI: 10.1007/s11356-023-28453-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 06/22/2023] [Indexed: 07/14/2023]
Abstract
Air pollution and global temperature change are expected to affect infectious diseases. Air pollution usually causes inflammatory response and disrupts immune defense system, while temperature mainly exacerbates the effect of vectors on humans. Yet to date overview of systematic reviews assessing the exposure risk of air pollutants and temperature on infectious diseases is unavailable. This article aims to fill this research gap. PubMed, Embase, the Cochrane Library, Web of Science, and the Cumulative Index to Nursing and Allied Health Literature were searched. Systematic reviews and meta-analyses investigated the exposure risk of pollutants or temperature on infectious diseases were included. Two investigators screened literature, extracted data and performed the risk of bias assessments independently. A total of 23 articles met the inclusion criteria, which 3 (13%) were "low" quality and 20 (87%) were "critically low" quality. COVID-19 morbidity was associated with long-term exposure PM2.5 (RR = 1.056 per 1 [Formula: see text], 95% CI: 1.039-1.072) and NO2 (RR = 1.042 per 1 [Formula: see text], 95% CI: 1.017-1.068). In addition, for each 1 °C increase in temperature, the morbidity risk of dengue increased 13% (RR = 1.130 per 1 °C, 95% CI: 1.120-1.150), infectious diarrhea increased 8% (RR = 1.080 per 1 °C, 95% CI: 1.050-1.200), and hand, foot and mouth disease (HFMD) increased 5% (RR = 1.050 per 1 °C, 95% CI: 1.020-1.080). In conclusion, PM2.5 and NO2 increased the risk of COVID-19 and temperatures were associated with dengue, infectious diarrhoea and HFMD morbidity. Moreover, the exposure risk of temperature on COVID-19 was recommended to be further explored.
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Affiliation(s)
- Xuping Song
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
- McMaster Health Forum, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, L8S4L8, Canada
| | - Xinye Guo
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Xiaopeng Hu
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Yajie Zhang
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Dandan Wei
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | - Yue Hu
- School of Public Health, Lanzhou University, Lanzhou, 730000, China
| | | | - Yan Zhang
- Gansu Province Hospital Rehabilitation Center, Lanzhou, 730000, Gansu, China.
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Mattison CP, Calderwood LE, Marsh ZA, Wikswo ME, Balachandran N, Kambhampati AK, Gleason ME, Lawinger H, Mirza SA. Childcare and School Acute Gastroenteritis Outbreaks: 2009-2020. Pediatrics 2022; 150:e2021056002. [PMID: 36278284 PMCID: PMC10061552 DOI: 10.1542/peds.2021-056002] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/16/2022] [Indexed: 02/25/2023] Open
Abstract
OBJECTIVES Acute gastroenteritis (AGE) outbreaks commonly occur in congregate settings, including schools and childcare facilities. These outbreaks disrupt institutions, causing absences and temporary facility closures. This study analyzed the epidemiology of school and childcare AGE outbreaks in the United States. METHODS We analyzed AGE outbreaks occurring in kindergarten to grade 12 schools and childcare facilities reported via the National Outbreak Reporting System in the United States from 2009 to 2019 and compared this information to 2020 data. Outbreak and case characteristics were compared using the Kruskal-Wallis rank sum test, χ2 goodness-of-fit test, and Fisher exact test. RESULTS From 2009 to 2019, there were 2623 school, 1972 childcare, and 38 school and childcare outbreaks. School outbreaks were larger (median, 29 cases) than childcare outbreaks (median, 10 cases). Childcare outbreaks were longer (median, 15 days) than school outbreaks (median, 9 days). Norovirus (2383 outbreaks; 110 190 illnesses) and Shigella spp. (756 outbreaks; 9123 illnesses) were the most reported etiologies. Norovirus was the leading etiology in schools; norovirus and Shigella spp. were dominant etiologies in childcare centers. Most (85.7%) outbreaks were spread via person-to-person contact. In 2020, 123 outbreaks were reported, 85% in the first quarter. CONCLUSIONS Schools and childcare centers are common AGE outbreak settings in the United States. Most outbreaks were caused by norovirus and Shigella spp. and spread via person-to-person transmission. Fewer outbreaks were reported in 2020 from the COVID-19 pandemic. Prevention and control efforts should focus on interrupting transmission, including environmental disinfection, proper handwashing, safe diapering, and exclusion of ill persons.
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Affiliation(s)
- Claire P. Mattison
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases
- Cherokee Nation Assurance, Arlington, Virginia
| | - Laura E. Calderwood
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases
- Cherokee Nation Assurance, Arlington, Virginia
| | - Zachary A. Marsh
- Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Mary E. Wikswo
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases
| | - Neha Balachandran
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases
- Cherokee Nation Assurance, Arlington, Virginia
| | - Anita K. Kambhampati
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases
| | - Michelle E. Gleason
- Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Hannah Lawinger
- Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Sara A. Mirza
- Division of Viral Diseases, National Center for Immunization and Respiratory Diseases
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Xu E, Li Y, Li T, Li Q. Association between ambient temperature and ambulance dispatch: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:66335-66347. [PMID: 35499723 DOI: 10.1007/s11356-022-20508-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/25/2022] [Indexed: 06/14/2023]
Abstract
Previous studies have quantified the associations between ambient temperature and dispatch of ambulances, but the conclusions are still controversial. Therefore, a systematic review and meta-analysis were conducted to summarize all the current evidence. A systematic review of published literature was undertaken to characterize the effect of temperature on ambulance dispatch. We completed the literature search by the end of January 5, 2022. The pooled estimates for different temperature exposures were calculated using a random effects model. Differences among temperature pooled estimates were determined using subgroup analysis. This study was registered with PROSPERO under the number CRD42021284434. This is the first meta-analysis investigating the association between temperature and ambulance dispatch. A total of 25 studies were eligible for this study. The overall increased risks of high temperature, expressed as relative risks, were 1.734 (95% CI: 1.481-2.031). Subgroup analysis found that for the study using daily mean temperature, the high temperature increased the risk of ambulance dispatch by 15.2% (RR = 1.152, 95%CI: 1.081-1.228). In the ambulance dispatch of all-cause subgroups, the RR was 1.179 (95% CI: 1.085-1.282). The results also reported a significant association between low temperature and ambulance dispatch (RR = 1.130, 95% CI: 1.052-1.213). In the subgroup, the RR for cardiovascular disease was 1.209 (95% CI: 1.033-1.414), and respiratory disease was 1.126 (95% CI: 1.012-1.253). Sensitivity analysis indicated that the results were robust, and no obvious publication bias was observed. High temperature and low temperature are important factors influencing the dispatch of ambulances. These findings help improve the understanding of temperature effect on ambulance dispatch, demonstrating the need to consider wider surveillance of acute health outcomes in different environments.
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Affiliation(s)
- Er Xu
- Hospital Infection Management Office, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, People's Republic of China
| | - Yanni Li
- Public Health Department, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, People's Republic of China
| | - Tingting Li
- Department of Endocrinology, Rheumatology and Immunology, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, People's Republic of China
| | - Qing Li
- Hospital Infection Management Office, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, People's Republic of China.
- Department of Obstetrics and Gynecology, Anqing Municipal Hospital, Anqing, Anhui, People's Republic of China.
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Ai S, Zhou H, Wang C, Qian ZM, McMillin SE, Huang C, Zhang T, Xu L, Li Z, Lin H. Effect and attributable burden of hot extremes on bacillary dysentery in 31 Chinese provincial capital cities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 832:155028. [PMID: 35390371 DOI: 10.1016/j.scitotenv.2022.155028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/29/2022] [Accepted: 03/31/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND High atmospheric temperature has been associated with the occurrence of bacillary dysentery (BD). Recent studies have suggested that hot extremes may influence health outcomes, however, none have examined the association between hot extremes and BD risk, especially at the national level. OBJECTIVES To assess the effect and attributable burden of hot extremes on BD cases and to identify populations at high risk of BD. METHODS Daily incident BD data of 31 provincial capital cities from 2010 to 2018 were collected from the Chinese Center for Disease Control and Prevention, weather data was obtained from the fifth generation of the European Re-Analysis Dataset. Three types of hot extremes, including hot day, hot night, and hot day and night, were defined according to single or sequential occurrence of daytime hot and nighttime hot within 24 h. A two-stage analytical strategy combined with distributed lag non-linear models (DLNM) was used to evaluate city-specific associations and national pooled estimates. RESULTS Hot extremes were significantly associated with the risk of BD on lagged 1-6 days. The overall cumulative relative risk (RR) was 1.136 [95% confidence interval (CI): 1.022, 1.263] for hot day, 1.181 (95% CI: 1.019, 1.369) for hot night, and 1.154 (95% CI: 1.038, 1.283) for hot day and night. Northern residents, females, and children younger than or equal to 14 years old were vulnerable under hot night, southern residents were vulnerable under hot day, and males were vulnerable under hot day and night. 1.854% (95% CI: 1.294%, 2.205%) of BD cases can be attributable to hot extremes, among which, hot night accounted for a large proportion. CONCLUSIONS Hot extremes may significantly increase the incidence risk and disease burden of BD. Type-specific protective measures should be taken to reduce the risk of BD, especially in those we found to be particularly vulnerable.
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Affiliation(s)
- Siqi Ai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Haijian Zhou
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102200, China
| | - Changke Wang
- National Climate Center, China Meteorological Administration, Beijing 100089, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, United States of America
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Tegeler Hall, 3550 Lindell Boulevard, Saint Louis, MO 63103, United States of America
| | - Cunrui Huang
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Tuantuan Zhang
- School of Atmospheric Sciences, Sun Yat-sen University, Southern Laboratory of Ocean Science and Engineering, Zhuhai, Guangdong 519082, China; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai, Guangdong 519082, China
| | - Lianlian Xu
- School of Atmospheric Sciences, Sun Yat-sen University, Southern Laboratory of Ocean Science and Engineering, Zhuhai, Guangdong 519082, China; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai, Guangdong 519082, China
| | - Zhenjun Li
- State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102200, China.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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11
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Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies. ATMOSPHERE 2022. [DOI: 10.3390/atmos13050734] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
South Asia, with more than one-fifth of the world’s population, is highly vulnerable to heatwaves and associated health consequences. The population experiences considerably higher residential vulnerability due to limited infrastructural capacities, economic resources, and health and environmental quality deficiencies. However, a limited number of studies are available from the region to account for the health effects of heatwaves. Therefore, this study has conducted a comprehensive review to characterize heatwaves across South Asian countries. The review explicitly identifies the population’s vulnerability to heatwaves during recent years and heatwave management policies in the region. The literature review suggests increased heat-related deaths in most South Asian countries, with few exceptions. In addition, the analysis of historical temperature records identified an upward trend in annual average temperature across the South Asian countries. The study highlights various heatwave definitions that have been used in the region to facilitate comparative evidence. The review of policies identified that only a few South Asian countries have functional heatwave management plans and majorly lack community and residential preparedness for heatwaves. Therefore, this study identifies potential community- and residential-based adaptation strategies to mitigate heat discomfort. As prospective solutions, the study recommends adaptation strategies such as blue–green spaces, indoor passive cooling, infrastructural adjustments, heat action plans, etc. However, such adaptation measures require a holistic amalgamation of different stakeholders to fabricate heatwave-resilient cities.
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12
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Adams N, Dhimal M, Mathews S, Iyer V, Murtugudde R, Liang XZ, Haider M, Cruz-Cano R, Thu DTA, Hashim JH, Gao C, Wang YC, Sapkota A. El Niño Southern Oscillation, monsoon anomaly, and childhood diarrheal disease morbidity in Nepal. PNAS NEXUS 2022; 1:pgac032. [PMID: 36713319 PMCID: PMC9802392 DOI: 10.1093/pnasnexus/pgac032] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 02/02/2022] [Accepted: 03/25/2022] [Indexed: 02/01/2023]
Abstract
Climate change is adversely impacting the burden of diarrheal diseases. Despite significant reduction in global prevalence, diarrheal disease remains a leading cause of morbidity and mortality among young children in low- and middle-income countries. Previous studies have shown that diarrheal disease is associated with meteorological conditions but the role of large-scale climate phenomena such as El Niño-Southern Oscillation (ENSO) and monsoon anomaly is less understood. We obtained 13 years (2002-2014) of diarrheal disease data from Nepal and investigated how the disease rate is associated with phases of ENSO (El Niño, La Niña, vs. ENSO neutral) monsoon rainfall anomaly (below normal, above normal, vs. normal), and changes in timing of monsoon onset, and withdrawal (early, late, vs. normal). Monsoon season was associated with a 21% increase in diarrheal disease rates (Incident Rate Ratios [IRR]: 1.21; 95% CI: 1.16-1.27). El Niño was associated with an 8% reduction in risk while the La Niña was associated with a 32% increase in under-5 diarrheal disease rates. Likewise, higher-than-normal monsoon rainfall was associated with increased rates of diarrheal disease, with considerably higher rates observed in the mountain region (IRR 1.51, 95% CI: 1.19-1.92). Our findings suggest that under-5 diarrheal disease burden in Nepal is significantly influenced by ENSO and changes in seasonal monsoon dynamics. Since both ENSO phases and monsoon can be predicted with considerably longer lead time compared to weather, our findings will pave the way for the development of more effective early warning systems for climate sensitive infectious diseases.
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Affiliation(s)
- Nicholas Adams
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD 20742, USA
| | - Meghnath Dhimal
- Health Research Section, Nepal Health Research Council, Kathmandu 44600, Nepal
| | - Shifali Mathews
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD 20742, USA
| | - Veena Iyer
- Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar 382042, Gujrat, India
| | - Raghu Murtugudde
- Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USA
| | - Xin-Zhong Liang
- Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USA
| | - Muhiuddin Haider
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD 20742, USA
| | - Raul Cruz-Cano
- Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA
| | - Dang Thi Anh Thu
- Institute for Community Health Research, Hue University of Medicine and Pharmacy, Hue City 52000, Vietnam
| | - Jamal Hisham Hashim
- Department of Health Sciences, University Selangor Shah Alam Campus, Selangor 40000, Malaysia
| | - Chuansi Gao
- Division of Ergonomics and Aerosol Technology, Faculty of Engineering, Lund University, Lund 223 62, Sweden
| | - Yu-Chun Wang
- Department of Environmental Engineering, Chung Yuan Christian University, Taoyuan City 320314, Taiwan
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Sung J, Cheong HK, Kwon HJ, Kim JH. Pathogen-specific response of infectious gastroenteritis to ambient temperature: National surveillance data in the Republic of Korea, 2015–2019. Int J Hyg Environ Health 2022; 240:113924. [DOI: 10.1016/j.ijheh.2022.113924] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 01/07/2022] [Accepted: 01/10/2022] [Indexed: 12/24/2022]
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14
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Chua PL, Ng CFS, Madaniyazi L, Seposo X, Salazar MA, Huber V, Hashizume M. Projecting Temperature-Attributable Mortality and Hospital Admissions due to Enteric Infections in the Philippines. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:27011. [PMID: 35188405 PMCID: PMC8860302 DOI: 10.1289/ehp9324] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 10/29/2021] [Accepted: 01/21/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Enteric infections cause significant deaths, and global projection studies suggest that mortality from enteric infections will increase in the future with warmer climate. However, a major limitation of these projection studies is the use of risk estimates derived from nonmortality data to project excess enteric infection mortality associated with temperature because of the lack of studies that used actual deaths. OBJECTIVE We quantified the associations of daily temperature with both mortality and hospital admissions due to enteric infections in the Philippines. These associations were applied to projections under various climate and population change scenarios. METHODS We modeled nonlinear temperature associations of mortality and hospital admissions due to enteric infections in 17 administrative regions of the Philippines using a two-stage time-series approach. First, we quantified nonlinear temperature associations of enteric infections by fitting generalized linear models with distributed lag nonlinear models. Second, we combined regional estimates using a meta-regression model. We projected the excess future enteric infections due to nonoptimal temperatures using regional temperature-enteric infection associations under various combinations of climate change scenarios according to representative concentration pathways (RCPs) and population change scenarios according to shared socioeconomic pathways (SSPs) for 2010-2099. RESULTS Regional estimates for mortality and hospital admissions were significantly heterogeneous and had varying shapes in association with temperature. Generally, mortality risks were greater in high temperatures, whereas hospital admission risks were greater in low temperatures. Temperature-attributable excess deaths in 2090-2099 were projected to increase over 2010-2019 by as little as 1.3% [95% empirical confidence intervals (eCI): -3.1%, 6.5%] under a low greenhouse gas emission scenario (RCP 2.6) or as much as 25.5% (95% eCI: -3.5%, 48.2%) under a high greenhouse gas emission scenario (RCP 8.5). A moderate increase was projected for temperature-attributable excess hospital admissions, from 0.02% (95% eCI: -2.0%, 1.9%) under RCP 2.6 to 5.2% (95% eCI: -12.7%, 21.8%) under RCP 8.5 in the same period. High temperature-attributable deaths and hospital admissions due to enteric infections may occur under scenarios with high population growth in 2090-2099. DISCUSSION In the Philippines, futures with hotter temperatures and high population growth may lead to a greater increase in temperature-related excess deaths than hospital admissions due to enteric infections. Our results highlight the need to strengthen existing primary health care interventions for diarrhea and support health adaptation policies to help reduce future enteric infections. https://doi.org/10.1289/EHP9324.
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Affiliation(s)
- Paul L.C. Chua
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Global Health, School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
- Alliance for Improving Health Outcomes, Inc., Quezon City, Philippines
| | - Chris Fook Sheng Ng
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Global Health, School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Lina Madaniyazi
- Department of Global Health, School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
- Department of Pediatric Infectious Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Xerxes Seposo
- Department of Global Health, School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Miguel Antonio Salazar
- Alliance for Improving Health Outcomes, Inc., Quezon City, Philippines
- Institute of Global Health, University of Heidelberg, Heidelberg, Germany
| | - Veronika Huber
- Department of Physical, Chemical and Natural Systems, Universidad Pablo de Olavide, Sevilla, Spain
| | - Masahiro Hashizume
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Global Health, School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
- Department of Pediatric Infectious Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
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