David P. Durham
Yale University
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Publication
Featured researches published by David P. Durham.
PLOS Neglected Tropical Diseases | 2012
Harish Padmanabha; David P. Durham; Fabio Correa; Maria A. Diuk-Wasser; Alison P. Galvani
Background A. aegypti production and human density may vary considerably in dengue endemic areas. Understanding how interactions between these factors influence the risk of transmission could improve the effectiveness of the allocation of vector control resources. To evaluate the combined impacts of variation in A. aegypti production and human density we integrated field data with simulation modeling. Methodology/Principal Findings Using data from seven censuses of A. aegypti pupae (2007–2009) and from demographic surveys, we developed an agent-based transmission model of the dengue transmission cycle across houses in 16 dengue-endemic urban ‘patches’ (1–3 city blocks each) of Armenia, Colombia. Our field data showed that 92% of pupae concentrated in only 5% of houses, defined as super-producers. Average secondary infections (R0) depended on infrequent, but highly explosive transmission events. These super-spreading events occurred almost exclusively when the introduced infectious person infected mosquitoes that were produced in super-productive containers. Increased human density favored R0, and when the likelihood of human introduction of virus was incorporated into risk, a strong interaction arose between vector production and human density. Simulated intervention of super-productive containers was substantially more effective in reducing dengue risk at higher human densities. Significance/Conclusions These results show significant interactions between human population density and the natural regulatory pattern of A. aegypti in the dynamics of dengue transmission. The large epidemiological significance of super-productive containers suggests that they have the potential to influence dengue viral adaptation to mosquitoes. Human population density plays a major role in dengue transmission, due to its potential impact on human-A. aegypti contact, both within a persons home and when visiting others. The large variation in population density within typical dengue endemic cities suggests that it should be a major consideration in dengue control policy.
Vaccine | 2013
David P. Durham; Martial L. Ndeffo Mbah; Jan Medlock; Paula M. Luz; Lauren Ancel Meyers; A. David Paltiel; Alison P. Galvani
Recent Phase 2b dengue vaccine trials have demonstrated the safety of the vaccine and estimated the vaccine efficacy with further trials underway. In anticipation of vaccine roll-out, cost-effectiveness analysis of potential vaccination policies that quantify the dynamics of disease transmission are fundamental to the optimal allocation of available doses. We developed a dengue transmission and vaccination model and calculated, for a range of vaccination costs and willingness-to-pay thresholds, the level of vaccination coverage necessary to sustain herd-immunity, the price at which vaccination is cost-effective and is cost-saving, and the sensitivity of our results to parameter uncertainty. We compared two vaccine efficacy scenarios, one a more optimistic scenario and another based on the recent lower-than-expected efficacy from the latest clinical trials. We found that herd-immunity may be achieved by vaccinating 82% (95% CI 58-100%) of the population at a vaccine efficacy of 70%. At this efficacy, vaccination may be cost-effective for vaccination costs up to US
Proceedings of the National Academy of Sciences of the United States of America | 2016
David P. Durham; Martial L. Ndeffo-Mbah; Laura Skrip; Forrest K. Jones; Chris T. Bauch; Alison P. Galvani
534 (95% CI
Emerging Infectious Diseases | 2016
David P. Durham; Margaret A. Olsen; Erik R. Dubberke; Alison P. Galvani; Jeffrey P. Townsend
369-1008) per vaccinated individual and cost-saving up to
Clinical Infectious Diseases | 2016
David P. Durham; Laura Skrip; Robert Douglas Bruce; Silvia Vilarinho; Elamin H. Elbasha; Alison P. Galvani; Jeffrey P. Townsend
204 (95% CI
Risk Analysis | 2012
David P. Durham; Elizabeth A. Casman; Steven M. Albert
39-678). At the latest clinical trial estimates of an average of 30% vaccine efficacy, vaccination may be cost-effective and cost-saving at costs of up to
Journal of Theoretical Biology | 2014
Martial L. Ndeffo Mbah; David P. Durham; Jan Medlock; Alison P. Galvani
237 (95% CI
Scientific Reports | 2016
Martial L. Ndeffo-Mbah; David P. Durham; Laura Skrip; Elaine O. Nsoesie; John S. Brownstein; Durland Fish; Alison P. Galvani
159-512) and
PLOS Neglected Tropical Diseases | 2015
Elaine O. Nsoesie; R. Paul Ricketts; Heidi E. Brown; Durland Fish; David P. Durham; Martial L. Ndeffo Mbah; Trudy Christian; Shalauddin Ahmed; Clement Marcellin; Ellen Shelly; Katharine A. Owers; Natasha Wenzel; Alison P. Galvani; John S. Brownstein
93 (95% CI
The Lancet HIV | 2018
Brandon D. L. Marshall; William C. Goedel; Maximilian R F King; Alyson Singleton; David P. Durham; Philip A. Chan; Jeffrey P. Townsend; Alison P. Galvani
15-368), respectively. Our model provides an assessment of the cost-effectiveness of dengue vaccination in Brazil and incorporates the effect of herd immunity into dengue vaccination cost-effectiveness. Our results demonstrate that at the relatively low vaccine efficacy from the recent Phase 2b dengue vaccine trials, age-targeted vaccination may still be cost-effective provided the total vaccination cost is sufficiently low.