Fidelity Networks and Long-Run Trends in HIV/AIDS Gender Gaps
2013 ◽
Vol 103
(3)
◽
pp. 298-302
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Keyword(s):
Long Run
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More than half of the HIV/AIDS-infected population today are women. We study a dynamic model of (in)fidelity, which explains the HIV/AIDS gender gap by the configuration of sexual networks. Each individual desires sexual relationships with opposite sex individuals. Two Markov matching processes are defined, each corresponding to a different culture of gender relations. The first process leads to egalitarian pairwise stable networks in the long run, and HIV/AIDS is equally prevalent among men and women. The second process leads to anti-egalitarian pairwise stable networks reflecting male domination, and women bear a greater burden. The results are consistent with empirical observations.
2016 ◽
Vol 1
(1)
◽
pp. 249
Keyword(s):
2009 ◽
Vol 35
(3)
◽
pp. 161-165
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2018 ◽
Vol 21
(4)
◽
pp. 295-300
◽
2020 ◽
Vol 7
(8)
◽
pp. 3069
Keyword(s):