Discrepancies Between Classic and Digital Epidemiology in Searching for the Mayaro Virus: Preliminary Qualitative and Quantitative Analysis of Google Trends

Adawi, M, Bragazzi, NL, Watad, A orcid.org/0000-0002-1404-8027 et al. (3 more authors) (2017) Discrepancies Between Classic and Digital Epidemiology in Searching for the Mayaro Virus: Preliminary Qualitative and Quantitative Analysis of Google Trends. JMIR Public Health and Surveillance, 3 (4). e93. ISSN 2369-2960

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © Mohammad Adawi, Nicola Luigi Bragazzi, Abdulla Watad, Kassem Sharif, Howard Amital, Naim Mahroum. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 01.12.2017. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.
Keywords: digital health; digital epidemiology; emerging viruses; Mayaro virus; arboviruses; epidemiology; epidemiological monitoring
Dates:
  • Published: 1 December 2017
  • Accepted: 12 October 2017
  • Published (online): 1 December 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Institute of Rheumatology & Musculoskeletal Medicine (LIRMM) (Leeds) > Experimental Musculoskeletal Medicine (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 21 Jan 2019 15:09
Last Modified: 21 Jan 2019 15:09
Status: Published
Publisher: JMIR Publications
Identification Number: https://doi.org/10.2196/publichealth.9136

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