Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Faster indicators of chikungunya incidence using Google searches

Tools
- Tools
+ Tools

Miller, Sam, Preis, Tobias, Mizzi, Giovanni, Bastos, Leonardo Soares, Gomes, Marcelo Ferreira da Costa, Coelho, Flávio Codeço, Codeço, Claudia Torres and Moat, Helen Susannah (2022) Faster indicators of chikungunya incidence using Google searches. PLOS Neglected Tropical Diseases, 16 (6). e0010441. doi:10.1371/journal.pntd.0010441 ISSN 1935-2735.

[img]
Preview
PDF
WRAP-Faster-indicators-chikungunya-incidence-Google-searches-2022.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution 4.0.

Download (1677Kb) | Preview
Official URL: https://doi.org/10.1371/journal.pntd.0010441

Request Changes to record.

Abstract

Chikungunya, a mosquito-borne disease, is a growing threat in Brazil, where over 640,000 cases have been reported since 2017. However, there are often long delays between diagnoses of chikungunya cases and their entry in the national monitoring system, leaving policymakers without the up-to-date case count statistics they need. In contrast, weekly data on Google searches for chikungunya is available with no delay. Here, we analyse whether Google search data can help improve rapid estimates of chikungunya case counts in Rio de Janeiro, Brazil. We build on a Bayesian approach suitable for data that is subject to long and varied delays, and find that including Google search data reduces both model error and uncertainty. These improvements are largest during epidemics, which are particularly important periods for policymakers. Including Google search data in chikungunya surveillance systems may therefore help policymakers respond to future epidemics more quickly.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
R Medicine > RC Internal medicine
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Social Sciences > Warwick Business School
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Chikungunya, Google, Web search engines, Internet searching, Data mining -- Health aspects, Bayesian statistical decision theory
Journal or Publication Title: PLOS Neglected Tropical Diseases
Publisher: Public Library of Science
ISSN: 1935-2735
Official Date: 9 June 2022
Dates:
DateEvent
9 June 2022Published
21 April 2022Accepted
Volume: 16
Number: 6
Article Number: e0010441
DOI: 10.1371/journal.pntd.0010441
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 11 July 2022
Date of first compliant Open Access: 11 July 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/N510129/1 [EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
TU/B/000006[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
TU/B/000008[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
E-26/201.277/2021Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeirohttp://dx.doi.org/10.13039/501100004586
310530/2021-0Conselho Nacional de Desenvolvimento Científico e Tecnológicohttp://dx.doi.org/10.13039/501100003593
305553/2014-3Conselho Nacional de Desenvolvimento Científico e Tecnológicohttp://dx.doi.org/10.13039/501100003593
6681340495Edital Produtos InovadoresUNSPECIFIED
UNSPECIFIEDSecretariat of Health Surveillance, Ministry of Health (Brazil)UNSPECIFIED
UNSPECIFIEDResearch Englandhttp://dx.doi.org/10.13039/501100013589
UNSPECIFIEDGlobal Challenges Research Fund (GCRF) Accelerator FundUNSPECIFIED
Related URLs:
  • http://creativecommons.org/licenses/by/4...
Contributors:
ContributionNameContributor ID
UNSPECIFIEDMossel, EricUNSPECIFIED

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us