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Determining Global Population Distribution: Methods, Applications and Data
Open accessAbstract
Evaluating the total numbers of people at risk from infectious disease in the world requires not just tabular population data, but data that are spatially explicit and global in extent at a moderate resolution. This review describes the basic methods for constructing estimates of global population distribution with attention to recent advances in improving both spatial and temporal resolution. To evaluate the optimal resolution for the study of disease, the native resolution of the data inputs as well as that of the resulting outputs are discussed. Assumptions used to produce different population data sets are also described, with their implications for the study of infectious disease. Lastly, the application of these population data sets in studies to assess disease distribution and health impacts is reviewed. The data described in this review are distributed in the accompanying DVD.
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Cites
Urbanization, malaria transmission and disease burden in Africa
Hay, S. I., Guerra, C. A., Tatem, A. J., Atkinson, P. M., & Snow, R. W. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1069 · Cited by 586
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Self-citationCombining satellite imagery and machine learning to predict poverty
Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016) · Science · doi:10.1126/science.aaf7894 · Cited by 1,664
Deadly heat waves projected in the densely populated agricultural regions of South Asia
Im, E.-S., Pal, J. S., & Eltahir, E. A. B. (2017) · Science Advances · doi:10.1126/sciadv.1603322 · Cited by 673
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Metadata
- Authors
- Balk, D. L., Deichmann, U., Yetman, G., Pozzi, F., Hay, S. I., & Nelson, A.
- Venue
- Advances in Parasitology
- Publisher
- Elsevier
- Published
- 2006
- Volume
- 62
- Pages
- 119-156
- ISSN
- 0065-308X (ISSN-L)
- OpenAlex
- W1527710572
- Cited by
- 490
- References
- 1
- FWCI
- 20.91
- Type
- book chapter
- Language
- en
- Open access
- green
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- Balk, D. L., Deichmann, U., Yetman, G., Pozzi, F., Hay, S. I., & Nelson, A. (2006). Determining Global Population Distribution: Methods, Applications and Data. Advances in Parasitology. https://doi.org/10.1016/s0065-308x(05)62004-0
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