ArticleHealth & place2013
Social and spatial processes associated with childhood diarrheal disease in Matlab, Bangladesh.
Article in Health & place, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Social networks and health: a systematic review of sociocentric network studies in low- and middle-income countries.Social science & medicine (1982) · 2015Pooled it
- Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.PLoS computational biology · 2021Article
- Demographic and social context of deaths during the 1854 cholera outbreak in Soho, London: a reappraisal of Dr John Snow's investigation.Health & place · 2020Article
- Using geospatial modelling to estimate the prevalence of adolescent first births in Nepal.BMJ global health · 2019Article
- Socio-environmental factors and diarrheal diseases in under five-year old children in the state of Tocantins, Brazil.PloS one · 2018Article
- The Human Immunodeficiency Virus Endemic: Maintaining Disease Transmission in At-Risk Urban Areas.Sexually transmitted diseases · 2017Article
- Implementation and Operational Research: Distance From Household to Clinic and Its Association With the Uptake of Prevention of Mother-to-Child HIV Transmission Regimens in Rural Zambia.Journal of acquired immune deficiency syndromes (1999) · 2015Article
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Authors and funding
7 authors.
Funding
Abstract
We develop novel methods for conceptualizing geographic space and social networks to evaluate their respective and combined contributions to childhood diarrheal incidence. After defining maternal networks according to direct familial linkages between females, and road networks using satellite imagery of the study area, we use a spatial econometrics model to evaluate the significance of correlation terms relating childhood diarrheal incidence to the incidence observed within respective networks. Disease was significantly clustered within road networks across time, but only inconsistently correlated within maternal networks. These methods could be widely applied to systems in which both social and spatial processes jointly influence health outcomes.
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Registered trials
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