Estimating the reproductive numbers for the 2008-2009 cholera outbreaks in Zimbabwe

被引:286
|
作者
Mukandavire, Zindoga [1 ]
Liao, Shu [2 ]
Wang, Jin [3 ]
Gaff, Holly [4 ]
Smith, David L. [1 ]
Morris, J. Glenn, Jr. [1 ]
机构
[1] Univ Florida, Emerging Pathogens Inst, Gainesville, FL 32610 USA
[2] Chongqing Technol & Business Univ, Sch Math & Stat, Chongqing 400067, Peoples R China
[3] Old Dominion Univ, Dept Math & Stat, Norfolk, VA 23529 USA
[4] Old Dominion Univ, Dept Biol Sci, Norfolk, VA 23529 USA
基金
美国国家科学基金会;
关键词
disease transmission; parameter estimate; EPIDEMIC; HOST;
D O I
10.1073/pnas.1019712108
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cholera remains an important global cause of morbidity and mortality, capable of causing periodic epidemic disease. Beginning in August 2008, a major cholera epidemic occurred in Zimbabwe, with 98,585 reported cases and 4,287 deaths. The dynamics of such outbreaks, particularly in nonestuarine regions, are not well understood. We explored the utility of mathematical models in understanding transmission dynamics of cholera and in assessing the magnitude of interventions necessary to control epidemic disease. Weekly data on reported cholera cases were obtained from the Zimbabwe Ministry of Health and Child Welfare (MoHCW) for the period from November 13, 2008 to July 31, 2009. A mathematical model was formulated and fitted to cumulative cholera cases to estimate the basic reproductive numbers R-0 and the partial reproductive numbers from all 10 provinces for the 2008-2009 Zimbabwe cholera epidemic. Estimated basic reproductive numbers were highly heterogeneous, ranging from a low value of just above unity to 2.72. Partial reproductive numbers were also highly heterogeneous, suggesting that the transmission routes varied by province; human-to-human transmission accounted for 41-95% of all transmission. Our models suggest that the underlying patterns of cholera transmission varied widely from province to province, with a corresponding variation in the amenability of outbreaks in different provinces to control measures such as immunization. These data underscore the heterogeneity of cholera transmission dynamics, potentially linked to differences in environment, socio-economic conditions, and cultural practices. The lack of traditional estuarine reservoirs combined with these estimates of R-0 suggest that mass vaccination against cholera deployed strategically in Zimbabwe and surrounding regions could prevent future cholera epidemics and eventually eliminate cholera from the region.
引用
收藏
页码:8767 / 8772
页数:6
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