Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Association between Ambient Temperature and Severe Diarrhoea in the National Capital Region, Philippines

Bibliographic Data

ID15500012
AuthorsPaul Lester Chua (0000-0001-7778-0189, Nagasaki University, corresponding author), Paul L C Chua (Nagasaki University), Chris Fook Sheng Ng (0000-0003-1025-0807, Nagasaki University), Adovich S Rivera (0000-0003-2533-0818, Northwestern University), Eumelia P Salva (0000-0002-3001-3369, San Lazaro Hospital, Quiricada St., Santa Cruz, Manila 1003, Philippines), Miguel Antonio Salazar (0000-0003-1129-6508, Heidelberg University), Veronika Huber (0000-0001-9633-2752, Universidad Pablo de Olavide), Masahiro Hashizume (0000-0003-4720-1750, Nagasaki University)
Year2021
Volume18
Issue15
Pages8191-8191
Publication date2021-08-02
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18158191
PMID34360484
OpenAlexW3191997266
LanguageEN
Citations received2
References cited38

Epidemiological studies have quantified the association between ambient temperature and diarrhoea. However, to our knowledge, no study has quantified the temperature association for severe diarrhoea cases. In this study, we quantified the association between mean temperature and two severe diarrhoea outcomes, which were mortality and hospital admissions accompanied with dehydration and/or co-morbidities. Using a 12-year dataset of three urban districts of the National Capital Region, Philippines, we modelled the non-linear association between weekly temperatures and weekly severe diarrhoea cases using a two-stage time series analysis. We computed the relative risks at the 95th (30.4 °C) and 5th percentiles (25.8 °C) of temperatures using minimum risk temperatures (MRTs) as the reference to quantify the association with high- and low-temperatures, respectively. The shapes of the cumulative associations were generally J-shaped with greater associations towards high temperatures. Mortality risks were found to increase by 53.3% [95% confidence interval (CI): 29.4%; 81.7%)] at 95th percentile of weekly mean temperatures compared with the MRT (28.2 °C). Similarly, the risk of hospitalised severe diarrhoea increased by 27.1% (95% CI: 0.7%; 60.4%) at 95th percentile in mean weekly temperatures compared with the MRT (28.6 °C). With the increased risk of severe diarrhoea cases under high ambient temperature, there may be a need to strengthen primary healthcare services and sustain the improvements made in water, sanitation, and hygiene, particularly in poor communities

Confidence interval · Environmental health · Hygiene · National capital · Percentile · Relative risk · Sanitation · Statistics · Climate Change and Health Impacts · Demography · Global Health Care Issues · Medicine · Thermoregulation and physiological responses · Epidemiology · Internal Medicine

  • Geospatial analysis of diarrhoea determinants among children under five in Pakistan using Multiscale Geographically Weighted Regression (MGWR)

    Open Access•Munazza Fatima, Ömer Ünsal•Applied Geography•2024

  • Variability of enteric pathogen infections by season and meteorological conditions in a low-income, urban setting in Mozambique

    Open Access•Rebecca S Kann, Joshua V Garn et al.•PLOS Global Public Health•2026

  • Burden and aetiology of diarrhoeal disease in infants and young children in developing countries (the Global Enteric Multicenter Study, Gems)

    Karen L Kotloff, James P Nataro et al.•The Lancet•2013

  • Distributed Lag Linear and Non-Linear Models in R

    Open Access•Antonio Gasparrini•Journal of Statistical Software•2011

  • Heat Stress and Public Health

    Stephen Kovat, R Sari Kovats et al.•Annual Review of Public Health•2008

  • Mortality risk attributable to high and low ambient temperature

    Open Access•Antonio Gasparrini, Yuming Guo et al.•The Lancet•2015

  • Estimates of the global, regional, and national morbidity, mortality, and aetiologies of diarrhoea in 195 countries

    Open Access•Christopher Troeger, Brigette F Blacker et al.•The Lancet Infectious Diseases•2018

  • Water, hydration, and health

    Barry M Popkin, Kristen E D’Anci et al.•Nutrition Reviews•2010

  • Multivariate meta‐analysis for non‐linear and other multi‐parameter associations

    Open Access•Antonio Gasparrini, Ben Armstrong et al.•Statistics in Medicine•2012

  • Untangling the Impacts of Climate Change on Waterborne Diseases

    Karen Levy, Andrew P Woster et al.•Environmental Science & Technology•2016

  • Global surface air temperatures in CMIP6

    Open Access•Xuewei Fan, Qing Duan et al.•Environmental Research Letters•2020

  • Years of temperature-related excess mortality in the Netherlands

    Open Access•Peter Ekamper, F W A Van Poppel et al.•Demographic Research•2009

Citations per year1
Citation span2024 - 2026 (3)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae