Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A location-specific spreadsheet for estimating Zika risk and timing for Zika vector surveillance, using U.S. military facilities as an example

Desmond H. Foley, David B. Pecor
doi: https://doi.org/10.1101/088823
Desmond H. Foley
1Walter Reed Biosystematics Unit, Department of Entomology, National Museum of Natural History, Smithsonian Institution, Suitland, MD 20746, U.S.A.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David B. Pecor
2Walter Reed Biosystematics Unit, Division of Entomology, Walter Reed Army Institute of Research, 503 Robert Grant Avenue, Silver Spring, MD 20910, U.S.A.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

ABSTRACT

Local Zika virus transmission in the United States involving one or both of the known vector species, Aedes aegypti and Ae. albopictus, is of major concern. To assist efforts to anticipate the risks of transmission, we developed an Excel spreadsheet tool that uses vector and virus temperature thresholds, remotely sensed maximum temperature, and habitat suitability from models to answer the questions: “is Zika transmission likely here?” and “when should we conduct vector surveillance?”. An example spreadsheet, updated regularly and freely available, uses near real-time and forecast temperature data to generate guidance, based on a novel four level Zika risk code, for 733 U.S. military facilities in the 50 states, the District of Columbia, and the territories of Guam and Puerto Rico.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted November 21, 2016.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A location-specific spreadsheet for estimating Zika risk and timing for Zika vector surveillance, using U.S. military facilities as an example
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A location-specific spreadsheet for estimating Zika risk and timing for Zika vector surveillance, using U.S. military facilities as an example
Desmond H. Foley, David B. Pecor
bioRxiv 088823; doi: https://doi.org/10.1101/088823
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
A location-specific spreadsheet for estimating Zika risk and timing for Zika vector surveillance, using U.S. military facilities as an example
Desmond H. Foley, David B. Pecor
bioRxiv 088823; doi: https://doi.org/10.1101/088823

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Epidemiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3498)
  • Biochemistry (7342)
  • Bioengineering (5318)
  • Bioinformatics (20249)
  • Biophysics (10000)
  • Cancer Biology (7735)
  • Cell Biology (11292)
  • Clinical Trials (138)
  • Developmental Biology (6431)
  • Ecology (9943)
  • Epidemiology (2065)
  • Evolutionary Biology (13312)
  • Genetics (9358)
  • Genomics (12575)
  • Immunology (7696)
  • Microbiology (18999)
  • Molecular Biology (7432)
  • Neuroscience (40976)
  • Paleontology (300)
  • Pathology (1228)
  • Pharmacology and Toxicology (2133)
  • Physiology (3155)
  • Plant Biology (6857)
  • Scientific Communication and Education (1272)
  • Synthetic Biology (1895)
  • Systems Biology (5310)
  • Zoology (1087)