Assessing effects of cholera vaccination in the presence of interference.
Assessing effects of cholera vaccination in the presence of interference.
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DOI:
10.1111/biom.12184
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发表时间:
2014-09
期刊:
影响因子:
1.9
通讯作者:
Emch ME
中科院分区:
文献类型:
--
作者:
Perez-Heydrich C;Hudgens MG;Halloran ME;Clemens JD;Ali M;Emch ME
Interference occurs when the treatment of one person affects the outcome of another. For example, in infectious diseases, whether one individual is vaccinated may affect whether another individual becomes infected or develops disease. Quantifying such indirect (or spillover) effects of vaccination could have important public health or policy implications. In this paper we use recently developed inverse-probability weighted (IPW) estimators of treatment effects in the presence of interference to analyze an individually-randomized, placebo-controlled trial of cholera vaccination that targeted 121,982 individuals in Matlab, Bangladesh. Because these IPW estimators have not been employed previously, a simulation study was also conducted to assess the empirical behavior of the estimators in settings similar to the cholera vaccine trial. Simulation study results demonstrate the IPW estimators can yield unbiased estimates of the direct, indirect, total and overall effects of vaccination when there is interference provided the untestable no unmeasured confounders assumption holds and the group-level propensity score model is correctly specified. Application of the IPW estimators to the cholera vaccine trial indicates the presence of interference. For example, the IPW estimates suggest on average 5.29 fewer cases of cholera per 1000 person-years (95% confidence interval 2.61, 7.96) will occur among unvaccinated individuals within neighborhoods with 60% vaccine coverage compared to neighborhoods with 32% coverage. Our analysis also demonstrates how not accounting for interference can render misleading conclusions about the public health utility of vaccination.
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影响因子:
5.5
作者:
Ali, Mohammad;Emch, Michael;Clemens, John
通讯作者:
Clemens, John
影响因子:
1.9
作者:
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通讯作者:
Shpitser I
影响因子:
3.7
作者:
Root ED;Giebultowicz S;Ali M;Yunus M;Emch M
通讯作者:
Emch M
影响因子:
1.8
作者:
Stefanski, LA;Boos, DD
通讯作者:
Boos, DD
DOI:
10.1198/016214506000000636
发表时间:
2006-12-01
影响因子:
3.7
作者:
Sobel, Michael E.
通讯作者:
Sobel, Michael E.