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      Is heat wave a predictor of diarrhoea in Dhaka, Bangladesh? A time-series analysis in a South Asian tropical monsoon climate

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          Abstract

          While numerous studies have assessed the association between temperature and diarrhoea in various locations, evidence of relationship between heat wave and diarrhoea is scarce. We defined elevated daily mean and maximum temperature over the 95 th and 99 th percentiles lasting for at least one day between March to October 1981–2010 as TAV95 and TAV99 and D95 and D99 heat wave, respectively. We investigated the association between heat wave and daily counts of hospitalisations for all-cause diarrhoea in Dhaka, Bangladesh using time series regression analysis employing constrained distributed lag-linear models. Effects were assessed for all ages and children aged under 5 years of age. Diarrhoea hospitalisation increased by 6.7% (95% CI: 4.6%– 8.9%), 8.3% (3.7–13.1), 7.0 (4.8–9.3) and 7.4 (3.1–11.9) in all ages on a TAV95, TAV99, D95 and D99 heat wave day, respectively. These effects were more pronounced for under-5 children with an increase of 13.9% (95% CI: 8.3–19.9), 24.2% (11.3–38.7), 17.0 (11.0–23.5) and 19.5 (7.7–32.6) in diarrhoea hospitalisations on a TAV95, TAV99, D95 and D99 heat wave day, respectively. At lags of 3 days, we noticed a negative association indicating a ‘harvesting’ effect. Our findings suggest that heat wave was a significant risk factor for diarrhoea hospitalisation in Dhaka. Further research is needed to elucidate the causal pathways and identify the preventive measures necessary to mitigate the impacts of heat waves on diarrhoea. Given that no heat wave definitions exist for Dhaka, these results may help to define heat waves for Dhaka and trigger public health interventions including heat alerts to prevent heat-related morbidity in Dhaka, Bangladesh.

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          Most cited references63

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          Estimates of the global, regional, and national morbidity, mortality, and aetiologies of diarrhoea in 195 countries: a systematic analysis for the Global Burden of Disease Study 2016

          Summary Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 provides an up-to-date analysis of the burden of diarrhoea in 195 countries. This study assesses cases, deaths, and aetiologies in 1990–2016 and assesses how the burden of diarrhoea has changed in people of all ages. Methods We modelled diarrhoea mortality with a Bayesian hierarchical modelling platform that evaluates a wide range of covariates and model types on the basis of vital registration and verbal autopsy data. We modelled diarrhoea incidence with a compartmental meta-regression tool that enforces an association between incidence and prevalence, and relies on scientific literature, population representative surveys, and health-care data. Diarrhoea deaths and episodes were attributed to 13 pathogens by use of a counterfactual population attributable fraction approach. Diarrhoea risk factors are also based on counterfactual estimates of risk exposure and the association between the risk and diarrhoea. Each modelled estimate accounted for uncertainty. Findings In 2016, diarrhoea was the eighth leading cause of death among all ages (1 655 944 deaths, 95% uncertainty interval [UI] 1 244 073–2 366 552) and the fifth leading cause of death among children younger than 5 years (446 000 deaths, 390 894–504 613). Rotavirus was the leading aetiology for diarrhoea mortality among children younger than 5 years (128 515 deaths, 105 138–155 133) and among all ages (228 047 deaths, 183 526–292 737). Childhood wasting (low weight-for-height score), unsafe water, and unsafe sanitation were the leading risk factors for diarrhoea, responsible for 80·4% (95% UI 68·2–85·0), 72·1% (34·0–91·4), and 56·4% (49·3–62·7) of diarrhoea deaths in children younger than 5 years, respectively. Prevention of wasting in 1762 children (95% UI 1521–2170) could avert one death from diarrhoea. Interpretation Substantial progress has been made globally in reducing the burden of diarrhoeal diseases, driven by decreases in several primary risk factors. However, this reduction has not been equal across locations, and burden among adults older than 70 years requires attention. Funding Bill & Melinda Gates Foundation.
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            Hot weather and heat extremes: health risks

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              Time series regression studies in environmental epidemiology

              Time series regression studies have been widely used in environmental epidemiology, notably in investigating the short-term associations between exposures such as air pollution, weather variables or pollen, and health outcomes such as mortality, myocardial infarction or disease-specific hospital admissions. Typically, for both exposure and outcome, data are available at regular time intervals (e.g. daily pollution levels and daily mortality counts) and the aim is to explore short-term associations between them. In this article, we describe the general features of time series data, and we outline the analysis process, beginning with descriptive analysis, then focusing on issues in time series regression that differ from other regression methods: modelling short-term fluctuations in the presence of seasonal and long-term patterns, dealing with time varying confounding factors and modelling delayed (‘lagged’) associations between exposure and outcome. We finish with advice on model checking and sensitivity analysis, and some common extensions to the basic model.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: ResourcesRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: MethodologyRole: Supervision
                Role: Data curationRole: Resources
                Role: Data curationRole: Resources
                Role: Data curationRole: Resources
                Role: Data curationRole: Project administrationRole: Resources
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLOS Glob Public Health
                PLOS Glob Public Health
                plos
                PLOS Global Public Health
                Public Library of Science (San Francisco, CA USA )
                2767-3375
                3 September 2024
                2024
                : 4
                : 9
                : e0003629
                Affiliations
                [1 ] Institute for Global Health (IGH), University College London (UCL), London, United Kingdom
                [2 ] UK Public Health Rapid Support Team (UK-PHRST), Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM), London, United Kingdom
                [3 ] Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine (LSHTM), London, United Kingdom
                [4 ] Department of Statistical Science, Department of Risk and Disaster Reduction, University College London (UCL), London, United Kingdom
                [5 ] Nutrition and Clinical Services Division, icddr,b, Dhaka, Bangladesh
                [6 ] National Heart Foundation Hospital and Research Institute (NHF&RI), Dhaka, Bangladesh
                [7 ] Department of Risk and Disaster Reduction, Institute for Global Health (IGH), University College London (UCL), London, United Kingdom
                [8 ] University of Agder, Kristiansand, Norway
                Keele University, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-4308-2857
                https://orcid.org/0000-0001-6851-5471
                https://orcid.org/0000-0001-9413-1842
                https://orcid.org/0000-0002-4191-6969
                Article
                PGPH-D-23-01931
                10.1371/journal.pgph.0003629
                11371214
                39226251
                00d8e16f-8dc9-4798-96fa-513319fb4412
                © 2024 Haque et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 9 October 2023
                : 29 July 2024
                Page count
                Figures: 4, Tables: 5, Pages: 17
                Funding
                The authors received no specific funding for this work. The PhD study of the first author (Farhana Haque) was funded by the Commonwealth Scholarship Commission (CSC), UK. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Gastroenterology and Hepatology
                Diarrhea
                Medicine and Health Sciences
                Clinical Medicine
                Signs and Symptoms
                Diarrhea
                People and Places
                Geographical Locations
                Asia
                Bangladesh
                Medicine and Health Sciences
                Health Care
                Health Statistics
                Morbidity
                Medicine and Health Sciences
                Epidemiology
                Medical Risk Factors
                Engineering and Technology
                Signal Processing
                Autocorrelation
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Autocorrelation
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Autocorrelation
                Medicine and Health Sciences
                Gastroenterology and Hepatology
                Inflammatory Bowel Disease
                Earth Sciences
                Atmospheric Science
                Meteorology
                Humidity
                Medicine and Health Sciences
                Epidemiology
                Custom metadata
                According to institutional data policy of the icddr,b (International Centre for Diarrhoeal Disease Research, Bangladesh), only summary of data can be publicly displayed or can be made publicly accessible. To protect intellectual property rights of primary data, icddr,b cannot make primary data publicly available. However, upon request, Institutional Data Access Committee of icddr,b can provide access to primary data to any individual, upon reviewing the nature and potential use of the data. Requests for data can be forwarded to: Ms. Armana Ahmed, Head, Research Administration, icddr,b, Dhaka, Bangladesh, Email: aahmed@ 123456icddrb.org , Phone: +88 02 9827001-10 (ext. 3200).

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