Abstract
Despite the major impact of mosquitoes on human health, knowledge gaps exist regarding their natural population dynamics. Even the most basic information-such as spatiotemporal abundance-is mostly unavailable. In the USA, municipalities have created agencies for mosquito control and monitoring, yet no national open-access repository for mosquito surveillance data exists. Vectors, and the pathogens they transmit, know no jurisdictions. We identify .1,000 mosquito control agencies and identify those which make their population abundance surveillance data publicly available. We directly survey Floridian mosquito districts to estimate, from one state alone, the potential amount of hidden data. We generate a large, standardized data set from publicly available online data and demonstrate that spatiotemporal population abundance can be reconstructed and analyzed across data generators. We propose that the ensemble of US mosquito control agencies can, and should, be used to develop a national-and potentially international-open-access repository of mosquito surveillance data, generating the data capital needed to gain a mechanistic understanding of vector population dynamics, and identify existing digital infrastructure that could be leveraged for digitizing and collating extant and future surveillance data for such a repository.
| Original language | English |
|---|---|
| Pages (from-to) | 75-83 |
| Number of pages | 9 |
| Journal | Journal of the American Mosquito Control Association |
| Volume | 35 |
| Issue number | 1 |
| DOIs | |
| State | Published - Mar 2019 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2019 by The American Mosquito Control Association, Inc.
Funding
Micaela Martinez was funded by a US National Science Foundation Postdoctoral Fellowship in Biology, Award Number 1523757, and is currently funded by the NIH Directors Early Independence Award. Research reported in this publication was supported by the Office of the Director, National Institutes of Health, under Award Number DP5OD023l00. Samuel S.C. Rund was funded by the Royal Society (NF140517) and the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under Contract Number HHSN272201400029C. Imelda K. Moise and John C. Beier were supported by Cooperative Agreement Number U01CK000510, funded by the Centers for Disease Control and Prevention.
ASJC Scopus Subject Areas
- General Medicine
Keywords
- Arbovirus
- Big Data
- Open data
- Surveillance
- Zika
Disciplines
- Medicine and Health Sciences
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