Background: Weather extremes are predicted to influence pathogen exposure but their effects on specific faecal-oral transmission pathways are not well investigated. We evaluated associations between extreme rain and temperature during different antecedent periods (0-14 days) and Escherichia coli along eight faecal-oral pathways in rural Bangladeshi households.
Methods: We used data from the WASH Benefits Bangladesh cluster-randomised controlled trial (NCT01590095). E coli was enumerated in hand rinses from children younger than 5 years and their mothers, food, stored drinking water, tubewells, captured flies, ponds, and courtyard soil using IDEXX Quanti-Tray/2000 in nine rounds over 3·5 years and spatiotemporally matched to daily weather data. We used generalised linear models with robust standard errors to estimate E coli count ratios (ECRs) associated with extreme rain and temperature, defined as greater than the 90th percentile of daily values during the study period.
Findings: A total of 26 659 samples were collected during the study period. Controlling for temperature, extreme rain on the sampling day was associated with increased E coli in food (ECR=3·13 [95% CI 1·63-5·99], p=0·0010), stored drinking water (ECR=1·98 [1·36-2·88], p=0·0004), and ponds (ECR=3·46 [2·34-5·11], p<0·0001), and reduced E coli in soil (ECR=0·36 [0·24-0·53], p<0·0001). Extreme rain the day before sampling was associated with reduced E coli in tubewells (ECR=0·10 [0·02-0·62], p=0·014). Associations were similar for rainfall 1-7 days before sampling and slightly attenuated for rainfall 14 days before sampling. Controlling for rainfall, extreme temperature on the sampling day was associated with increased E coli in stored drinking water (ECR=1·49 [1·05-2·12], p=0·025) and food (ECR=3·01 [1·51-6·01], p=0·0020). Associations with temperature were similar for all antecedent periods and particularly pronounced for food. Neither rainfall nor temperature were consistently associated with E coli on hands and flies.
Interpretation: In rural Bangladesh, measures to control enteric infections following weather extremes should focus on water treatment and safe storage to reduce contamination of drinking water and food stored at home and on reducing exposure to surface waters.
Funding: Bill & Melinda Gates Foundation, National Institutes of Health, World Bank.
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http://dx.doi.org/10.1016/S2542-5196(24)00306-1 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11755722 | PMC |
Sensors (Basel)
January 2025
United States Department of Agriculture-Agriculture Research Service, Grassland Soil and Water Research Laboratory, Temple, TX 76502, USA.
Efficient and reliable corn ( L.) yield prediction is important for varietal selection by plant breeders and management decision-making by growers. Unlike prior studies that focus mainly on county-level or controlled laboratory-scale areas, this study targets a production-scale area, better representing real-world agricultural conditions and offering more practical relevance for farmers.
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January 2025
College of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China.
Precipitable water vapor (PWV) is an important indicator to characterize the spatial and temporal variability of water vapor. A high spatial and temporal resolution of atmospheric precipitable water can be obtained using ground-based GNSS, but its inversion accuracy is usually limited by the weighted mean temperature, Tm. For this reason, based on the data of 17 ground-based GNSS stations and water vapor reanalysis products over 2 years in the Hong Kong region, a new model for water vapor inversion without the Tm parameter is established by deep learning in this paper, the research results showed that, compared with the PWV information calculated by the traditional model using Tm parameter, the accuracy of the PWV retrieved by the new model proposed in this paper is higher, and its accuracy index parameters BIAS, MAE, and RMSE are improved by 38% on average.
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January 2025
Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Africa is grappling with severe food security challenges driven by population growth, climate change, land degradation, water scarcity, and socio-economic factors such as poverty and inequality. Climate variability and extreme weather events, including droughts, floods, and heatwaves, are intensifying food insecurity by reducing agricultural productivity, water availability, and livelihoods. This study examines the projected threats to food security in Africa, focusing on changes in temperature, precipitation patterns, and the frequency of extreme weather events.
View Article and Find Full Text PDFLancet Planet Health
January 2025
Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA.
Background: Weather extremes are predicted to influence pathogen exposure but their effects on specific faecal-oral transmission pathways are not well investigated. We evaluated associations between extreme rain and temperature during different antecedent periods (0-14 days) and Escherichia coli along eight faecal-oral pathways in rural Bangladeshi households.
Methods: We used data from the WASH Benefits Bangladesh cluster-randomised controlled trial (NCT01590095).
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