Eliminating malaria in the American South: An analysis of the decline of malaria in 1930s Alabama
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DOI: 10.2105/AJPH.2012.301065
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Cited by:
- Bo Feng & Mark Partridge & Mark Rembert, 2018.
"The Perils of Modelling How Migration Responds to Climate Change,"
Advances in Spatial Science, in: Roger R. Stough & Karima Kourtit & Peter Nijkamp & Uwe Blien (ed.), Modelling Aging and Migration Effects on Spatial Labor Markets, chapter 0, pages 53-75,
Springer.
- Feng, Bo & Partridge, Mark & Rembert, Mark, 2016. "The Perils of Modelling How Migration Responds to Climate Change," MPRA Paper 77059, University Library of Munich, Germany.
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Keywords
article; Bayes theorem; history; human; malaria; Poisson distribution; population dynamics; public health service; United States; Alabama; Bayes Theorem; History; 20th Century; History; 21st Century; Humans; Malaria; Poisson Distribution; Population Dynamics; Public Health Practice; Southeastern United States; Southwestern United States;All these keywords.
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