ArticleGeoHealth2018
Quantification of Rotavirus Diarrheal Risk Due to Hydroclimatic Extremes Over South Asia: Prospects of Satellite-Based Observations in Detecting Outbreaks.
Article in GeoHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Mapping paediatric acute gastroenteritis in Talavera, Nueva Ecija, Philippines: a cross-sectional study on prevalence and community risk factors.BMJ paediatrics open · 2026Article
- Exploring Climate Links and Clinical Association of the Diarrheal Disease Using Data From an Upsurge in Dhaka, Bangladesh: A Cross-Sectional Study.Health science reports · 2025Article
- The Effect of Climate Change on Emergence and Evolution of Zoonotic Diseases in Asia.Zoonoses and public health · 2025Review
- Associations between meteorological variation and hospitalisations for rotavirus infections in Kuala Lumpur, Malaysia.Heliyon · 2024Article
- Article
- Prevalence and Genomic Characterization of Rotavirus A from Domestic Pigs in Zambia: Evidence for Possible Porcine-Human Interspecies Transmission.Pathogens (Basel, Switzerland) · 2023Article
- The influence of demographic and meteorological factors on temporal patterns of rotavirus infection in Dhaka, Bangladesh.Proceedings. Biological sciences · 2022Article
- Article
- Pathogen-Specific Impacts of the 2011-2012 La Niña-Associated Floods on Enteric Infections in the MAL-ED Peru Cohort: A Comparative Interrupted Time Series Analysis.International journal of environmental research and public health · 2020Article
- Rotavirus Seasonality: An Application of Singular Spectrum Analysis and Polyharmonic Modeling.International journal of environmental research and public health · 2019Article
- Seasonality of Rotavirus Hospitalizations at Costa Rica's National Children's Hospital in 2010-2015.International journal of environmental research and public health · 2019Article
- Use of earth observation-derived hydrometeorological variables to model and predict rotavirus infection (MAL-ED): a multisite cohort study.The Lancet. Planetary health · 2019Article
- Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rotavirus is the most common cause of diarrheal disease among children under 5. Especially in South Asia, rotavirus remains the leading cause of mortality in children due to diarrhea. As climatic extremes and safe water availability significantly influence diarrheal disease impacts in human populations, hydroclimatic information can be a potential tool for disease preparedness. In this study, we conducted a multivariate temporal and spatial assessment of 34 climate indices calculated from ground and satellite Earth observations to examine the role of temperature and rainfall extremes on the seasonality of rotavirus transmission in Bangladesh. We extracted rainfall data from the Global Precipitation Measurement and temperature data from the Moderate Resolution Imaging Spectroradiometer sensors to validate the analyses and explore the potential of a satellite-based seasonal forecasting model. Our analyses found that the number of rainy days and nighttime temperature range from 16°C to 21°C are particularly influential on the winter transmission cycle of rotavirus. The lower number of wet days with suitable cold temperatures for an extended time accelerates the onset and intensity of the outbreaks. Temporal analysis over Dhaka also suggested that water logging during monsoon precipitation influences rotavirus outbreaks during a summer transmission cycle. The proposed model shows lag components, which allowed us to forecast the disease outbreaks 1 to 2 months in advance. The satellite data-driven forecasts also effectively captured the increased vulnerability of dry-cold regions of the country, compared to the wet-warm regions.
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