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Harnessing Case Isolation and Ring Vaccination to Control Ebola
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نویسنده
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wells c. ,yamin d. ,ndeffo-mbah m.l. ,wenzel n. ,gaffney s.g. ,townsend j.p. ,meyers l.a. ,fallah m. ,nyenswah t.g. ,altice f.l. ,atkins k.e. ,galvani a.p.
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منبع
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plos neglected tropical diseases - 2015 - دوره : 9 - شماره : 5
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چکیده
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As a devastating ebola outbreak in west africa continues,non-pharmaceutical control measures including contact tracing,quarantine,and case isolation are being implemented. in addition,public health agencies are scaling up efforts to test and deploy candidate vaccines. given the experimental nature and limited initial supplies of vaccines,a mass vaccination campaign might not be feasible. however,ring vaccination of likely case contacts could provide an effective alternative in distributing the vaccine. to evaluate ring vaccination as a strategy for eliminating ebola,we developed a pair approximation model of ebola transmission,parameterized by confirmed incidence data from june 2014 to january 2015 in liberia and sierra leone. our results suggest that if a combined intervention of case isolation and ring vaccination had been initiated in the early fall of 2014,up to an additional 126 cases in liberia and 560 cases in sierra leone could have been averted beyond case isolation alone. the marginal benefit of ring vaccination is predicted to be greatest in settings where there are more contacts per individual,greater clustering among individuals,when contact tracing has low efficacy or vaccination confers post-exposure protection. in such settings,ring vaccination can avert up to an additional 8% of ebola cases. accordingly,ring vaccination is predicted to offer a moderately beneficial supplement to ongoing non-pharmaceutical ebola control efforts. © 2015 wells et al.
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آدرس
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center for infectious disease modeling and analysis,yale school of public health,new haven,ct, United States, center for infectious disease modeling and analysis,yale school of public health,new haven,ct, United States, center for infectious disease modeling and analysis,yale school of public health,new haven,ct, United States, center for infectious disease modeling and analysis,yale school of public health,new haven,ct, United States, department of biostatistics,yale school of public health,new haven,ct, United States, department of biostatistics,yale school of public health,new haven,ct,united states,program in computational biology and bioinformatics,yale university,new haven,ct,united states,department of ecology and evolutionary biology,yale university,new haven,ct, United States, department of integrative biology,university of texas at austin,austin,tx,united states,santa fe institute,santa fe,nm, United States, ministry of health and social welfare,monrovia, Liberia, ministry of health and social welfare,monrovia, Liberia, section of infectious diseases,yale university,school of medicine,new haven,ct,united states,department of epidemiology of microbial diseases,yale school of public health,new haven,ct, United States, center for infectious disease modeling and analysis,yale school of public health,new haven,ct,united states,centre for mathematical modelling of infectious diseases,department of infectious disease epidemiology,london school of hygiene and tropical medicine,london, United Kingdom, center for infectious disease modeling and analysis,yale school of public health,new haven,ct,united states,program in computational biology and bioinformatics,yale university,new haven,ct,united states,department of ecology and evolutionary biology,yale university,new haven,ct,united states,department of epidemiology of microbial diseases,yale school of public health,new haven,ct, United States
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Authors
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