Pertussis remains a major epidemiological burden, accounting for roughly 300,000 deaths worldwide each year, most of them children. The early success of infant immunization programs in the 1950s and 1960s led to a substantial reduction in incidence and a sense of optimism that elimination of pertussis might be a achievable. Over the past two decades, however, documented outbreaks in a number of wellvaccinated populations has pointed out major gaps in our understanding of pertussis epidemiology, immunology, evolution, and control. The availability and use of various vaccines with poorly understood efficacy and immunity profiles contributes to the uncertainty. We propose to improve our understanding of these important determinants of pertussis transmission by splitting the problem into manageable units. By conducting a comprehensive, comparative testing of multiple alternative hypotheses on long-term, spatially replicated, and age-specific data from different countries in the pre-vaccine era, we will aim to pin down the duration of infection-derived immunity, the epidemiological impact of repeat infections, the role played by sub-clinical immune boosting, and the respective contributions of population demography, age-specific contacts, and seasonality. The next phase of research will aim to address the vaccine-specific aspects of the problem by focusing on countries with known vaccine usage (whole cell vs. acellular) and immunization schedules. The ultimate test of whether our understanding of pertussis has significantly advanced will be to explain an enigmatic body of data, namely the changing patterns of pertussis incidence in the US over the past thirty years. This work will rely heavily on the use of mathematical models of pertussis transmission and statistical methods for extracting information from data. A major ingredient in this project, therefore, is the development, use, and dissemination of novel methodological tools that will be implemented in open-source public software. Finally, we will bring together the intellectual fruits of this effort in order to develop optimal, cost-effective immunization policy.

National Institute of Health (NIH)
National Institute of Allergy and Infectious Diseases (NIAID)
Research Project (R01)
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Modeling and Analysis of Biological Systems Study Section (MABS)
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Taylor, Christopher E,
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University of Michigan Ann Arbor
Schools of Arts and Sciences
Ann Arbor
United States
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Bento, Ana I; Riolo, Maria A; Choi, Yoon H et al. (2018) Core pertussis transmission groups in England and Wales: A tale of two eras. Vaccine 36:1160-1166
Domenech de Cellès, Matthieu; Magpantay, Felicia M G; King, Aaron A et al. (2018) The impact of past vaccination coverage and immunity on pertussis resurgence. Sci Transl Med 10:
Bento, Ana I; King, Aaron A; Rohani, Pejman (2017) Maternal pertussis immunisation: clinical gains and epidemiological legacy. Euro Surveill 22:
Du, Xiangjun; King, Aaron A; Woods, Robert J et al. (2017) Evolution-informed forecasting of seasonal influenza A (H3N2). Sci Transl Med 9:
Smith, R A; Ionides, E L; King, A A (2017) Infectious Disease Dynamics Inferred from Genetic Data via Sequential Monte Carlo. Mol Biol Evol 34:2065-2084
Magpantay, F M G (2017) Vaccine impact in homogeneous and age-structured models. J Math Biol 75:1591-1617
Blackwood, J C; Cummings, D A T; Iamsirithaworn, S et al. (2016) Using age-stratified incidence data to examine the transmission consequences of pertussis vaccination. Epidemics 16:1-7
Domenech de Cellès, Matthieu; Magpantay, Felicia M G; King, Aaron A et al. (2016) The pertussis enigma: reconciling epidemiology, immunology and evolution. Proc Biol Sci 283:
Martinez, Pamela P; King, Aaron A; Yunus, Mohammad et al. (2016) Differential and enhanced response to climate forcing in diarrheal disease due to rotavirus across a megacity of the developing world. Proc Natl Acad Sci U S A 113:4092-7
Magpantay, F M G; Domenech DE Cellès, M; Rohani, P et al. (2016) Pertussis immunity and epidemiology: mode and duration of vaccine-induced immunity. Parasitology 143:835-49

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