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Sci Data. 2018 Apr 24;5:180073. doi: 10.1038/sdata.2018.73.

Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia.

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Department of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, 345 Galvin Hall, Notre Dame, IN 46556, USA.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD 21205, USA.
Department of Pathology, Microbiology and Immunology, University of California, 5329 Vet Med 3A, Davis, CA 95616, USA.
WorldPop, Department of Geography and Environment, University of Southampton, University Road, Southampton, SO17 1BJ, UK.
Flowminder Foundation, Roslagsgatan 17, SE-11355, Stockholm, Sweden.
Institute for Disease Modeling, Bellevue, 3150 139th Ave SE, WA 98005, USA.
Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK.
Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA.
Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115, USA.
Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Centers for Disease Control and Prevention, 1324 Calle Canada, San Juan, PR 00920-3860, USA.
Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, 677 Huntington Ave., Suite 506, Boston, MA 02115, USA.
Department of Global Health and Institute for Health Metrics and Evaluation, University of Washington, 2301 Fifth Ave., Suite 600, Seattle, WA 98121, USA.


Despite a long history of mosquito-borne virus epidemics in the Americas, the impact of the Zika virus (ZIKV) epidemic of 2015-2016 was unexpected. The need for scientifically informed decision-making is driving research to understand the emergence and spread of ZIKV. To support that research, we assembled a data set of key covariates for modeling ZIKV transmission dynamics in Colombia, where ZIKV transmission was widespread and the government made incidence data publically available. On a weekly basis between January 1, 2014 and October 1, 2016 at three administrative levels, we collated spatiotemporal Zika incidence data, nine environmental variables, and demographic data into a single downloadable database. These new datasets and those we identified, processed, and assembled at comparable spatial and temporal resolutions will save future researchers considerable time and effort in performing these data processing steps, enabling them to focus instead on extracting epidemiological insights from this important data set. Similar approaches could prove useful for filling data gaps to enable epidemiological analyses of future disease emergence events.

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