Uncovering social and environmental factors that increase the burden of climate-sensitive diarrheal infections on children.
Anna DimitrovaAlexander GershunovMorgan C LevyTarik BenmarhniaPublished in: Proceedings of the National Academy of Sciences of the United States of America (2023)
Climate-sensitive infectious diseases are an issue of growing concern due to global warming and the related increase in the incidence of extreme weather and climate events. Diarrhea, which is strongly associated with climatic factors, remains among the leading causes of child death globally, disproportionately affecting populations in low- and middle-income countries (LMICs). We use survey data for 51 LMICs between 2000 and 2019 in combination with gridded climate data to estimate the association between precipitation shocks and reported symptoms of diarrheal illness in young children. We account for differences in exposure risk by climate type and explore the modifying role of various social factors. We find that droughts are positively associated with diarrhea in the tropical savanna regions, particularly during the dry season and dry-to-wet and wet-to-dry transition seasons. In the humid subtropical regions, we find that heavy precipitation events are associated with increased risk of diarrhea during the dry season and the transition from dry-to-wet season. Our analysis of effect modifiers highlights certain social vulnerabilities that exacerbate these associations in the two climate zones and present opportunities for public health intervention. For example, we show that stool disposal practices, child feeding practices, and immunizing against the rotavirus modify the association between drought and diarrhea in the tropical savanna regions. In the humid subtropical regions, household's source of water and water disinfection practices modify the association between heavy precipitation and diarrhea. The evidence of effect modification varies depending on the type and duration of the precipitation shock.
Keyphrases
- climate change
- healthcare
- irritable bowel syndrome
- mental health
- public health
- primary care
- clostridium difficile
- infectious diseases
- randomized controlled trial
- risk factors
- electronic health record
- young adults
- drinking water
- big data
- machine learning
- risk assessment
- artificial intelligence
- physical activity
- deep learning