Epidemiological and ecological determinants of Zika virus transmission in an urban setting
Abstract
The Zika virus has emerged as a global public health concern. Its rapid geographic expansion is attributed to the success of Aedes mosquito vectors, but local epidemiological drivers are still poorly understood. Feira de Santana played a pivotal role in the Chikungunya epidemic in Brazil and was one of the first urban centres to report Zika infections. Using a climate-driven transmission model and notified Zika case data, we show that a low observation rate and high vectorial capacity translated into a significant attack rate during the 2015 outbreak, with a subsequent decline in 2016 and fade-out in 2017 due to herd-immunity. We find a potential Zika-related, low risk for microcephaly per pregnancy, but with significant public health impact given high attack rates. The balance between the loss of herd-immunity and viral re-importation will dictate future transmission potential of in this urban setting.
Article and author information
Author details
Funding
European Research Council (614725-PATHPHYLODYN)
- Oliver G Pybus
Royal Society
- Mario Recker
Wellcome Trust & Royal Society (204311/Z/16/Z)
- Nuno Rodrigues Faria
Engineering and Physical Sciences Research Council
- Ben Lambert
European Research Council (268904 - DIVERSITY)
- José Lourenço
- Andrew Walker
International Development Emerging Pandemic Threats Program-2 (AID-OAA-A-14-00102)
- Moritz UG Kraemer
Labex EpiGenMed (ANR-10-LABX-12-01)
- Christian Julian Villabona-Arenas
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Reviewing Editor
- Mark Jit, London School of Hygiene & Tropical Medicine, and Public Health England, United Kingdom
Publication history
- Received: June 21, 2017
- Accepted: September 4, 2017
- Accepted Manuscript published: September 9, 2017 (version 1)
- Version of Record published: October 12, 2017 (version 2)
Copyright
© 2017, Lourenço et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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