2026-10-12T12:06:05Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33967535 2026-09-22T17:33:07Z category_7 category_272 category_45 category_734 category_64 category_69 category_106 portal_5 item_type_3 month_year_09_2026

<p>Summary of research questions and models.</p> Rebecca S. Kann (20308498) Sydney Hubbard (12850273) Jedidiah Snyder (5324825) Sandy McGunegill (12850279) Bacelar Muneme (18858160) João Luis Manuel (25091258) Lance A. Waller (125917) Rassul Nalá (4480546) Karen Levy (465827) Matthew C. Freeman (8033765) Medicine Environmental Sciences not elsewhere classified Sociology Biological Sciences not elsewhere classified Cancer Inorganic Chemistry Science Policy drinking water quality stored water contamination source water contamination heavy rainfall events e ., season associated meteorological conditions water contamination heavy rainfall third trimester study highlights reverse progress recent decades months old leading cause higher temperatures higher prevalence dry seasons diarrheal disease despite reductions dependent variation collected data child health child dyads better characterization allow us 67 ]) 38 ]) 35 ]). 27 ]). 00 ]). <div><p>Diarrhea remains a leading cause of morbidity and mortality for children under five, despite reductions in its global burden in recent decades. However, climate change, and its associated meteorological conditions - heavy rainfall, temperature, flooding - has the potential to impede or reverse progress, particularly in low-income, climate-vulnerable communities. Better characterization of the impact of weather and season on drinking water quality and child health will allow us to capture the anticipated health burden associated with climate change. We characterized the associations of weather and season on infant diarrhea and household stored water quality in Beira, Mozambique. We collected data from mother-child dyads in the third trimester of pregnancy and when the infant was 3-, 6-, 9-, and 12-months old. Using modified Poisson regression mixed effects models, we evaluated associations between weather (i.e., season, heavy rainfall events, ambient temperature, and flooding) and (1) household stored water quality and (2) infant diarrhea. Rainy season (aPR: 1.49; 95% CI: [1.34, 1.67]) was associated with a higher prevalence of stored water contamination, and higher temperatures were associated with a higher prevalence of stored water contamination during the dry season only (aPR: 1.14; 95% CI: [1.03, 1.27]). Source water contamination was associated with a higher prevalence of stored water contamination during both rainy (aPR: 1.32; 95% CI: [1.11, 1.56]) and dry seasons (aPR: 1.56; 95% CI: [1.22, 2.00]). Rainy season (aPR: 1.18; 95% CI: [1.01, 1.38]) was associated with a higher prevalence of infant diarrhea, as was higher temperatures, though only during the dry season (aPR: 1.19; 95% CI: [1.05, 1.35]). This study highlights the importance of addressing household water contamination for reducing the burden of diarrheal disease as well as the importance of understanding the seasonal and weather-dependent variation in both water contamination and infant diarrhea.</p></div> 2026-09-22T17:33:00Z Dataset Dataset 10.1371/journal.pwat.0000599.t001 https://figshare.com/articles/dataset/_p_Summary_of_research_questions_and_models_p_/33967535 CC BY 4.0