Plague and war: Political breakdown and the spread of HIV
Previous studies of war and infectious disease have generated inconsistent findings on the interrelationships of these phenomena. This study investigates the association of war and democracy with HIV prevalence using time-series cross-section (TSCS) analysis of a new data set that is more inclusive in both spatial and temporal terms than the data used in previous analyses. Two design aspects of this study differ from previous efforts. First, I have compiled data from both epidemiological and political science sources, and the result is a larger dataset for analysis, including 17 times periods and the full range of developing countries, not just those in sub-Saharan Africa. Second, due to the expanded data and as a real-world test of common suggestions for what to do with time-series-cross-section (TSCS), the study uses five commonly recommended statistical procedures to evaluate the data, providing comparison of common TSCS practices. Previous studies of war and infectious disease have generated inconsistent findings on the interrelationships of these phenomena. This study investigates the association of war with HIV prevalence using time-series cross-section (TSCS) analysis of a data set that is more inclusive in both spatial and temporal terms than the data used in previous analyses. Two design aspects of this study differ from previous efforts. First, I have compiled data from both epidemiological and political science sources, and the result is a larger dataset for analysis, including 17 times periods and the full range of developing countries, not just those in sub-Saharan Africa. Second, due to the expanded data and as a real-world test of common suggestions for what to do with time-series-cross-section (TSCS), the study uses five commonly recommended statistical procedures to evaluate the data, providing comparison of common TSCS practices.
Year of publication: |
2010-09
|
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Authors: | Paxton, Nathan A. |
Institutions: | Institute for Quantitative Social Science, Harvard University |
Saved in:
freely available
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