Determining global population distribution: Methods, applications and data

被引:351
作者
Balk, D. L.
Deichmann, U.
Yetman, G.
Pozzi, F.
Hay, S. I.
Nelson, A.
机构
[1] Columbia Univ, CIESIN, Palisades, NY 10964 USA
[2] World Bank, Dev Res Grp, Washington, DC 20433 USA
[3] Univ Cattolica Sacro Cuore, Sede Brescia, I-25121 Brescia, Italy
[4] Univ Oxford, Dept Zool, TALA Res Grp, Oxford OX1 3PS, England
[5] KEMRI, Ctr Geog Med, Malaria Publ Hlth & Epidemiol Grp, Nairobi 00100, Kenya
[6] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England
[7] European Commiss, Joint Res Ctr, Global Environm Monitoring Unit, I-21020 Ispra, VA, Italy
来源
ADVANCES IN PARASITOLOGY, VOL 62: GLOBAL MAPPING OF INFECTIOUS DISEASES: METHODS, EXAMPLES AND EMERGING APPLICATIONS | 2006年 / 62卷
基金
英国惠康基金;
关键词
D O I
10.1016/S0065-308X(05)62004-0
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
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.
引用
收藏
页码:119 / 156
页数:38
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