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Currently submitted to: Journal of Medical Internet Research

Date Submitted: Feb 17, 2024
Open Peer Review Period: Mar 4, 2024 - Apr 29, 2024
(currently open for review)

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Use of Digital Tools in Arbovirus Surveillance: A Scoping Review

  • Carolina Lopes Melo; 
  • Larissa Rangel; 
  • Lusiele Guaraldo; 
  • Daniela Polessa Paula; 
  • Mayumi Duarte Wakimoto

ABSTRACT

Background:

The development of technology and information systems have posed important changes to the ​​public health surveillance.

Objective:

This scoping review aimed to assess the available evidence and gather information about the use of digital tools for arboviruses (dengue, zika and chikungunya) surveillance.

Methods:

The databases used in this scoping review were MEDLINE, SCIELO, LILACS, SCOPUS and EMBASE. The results were evaluated according to the following steps: monitoring of outbreaks and/or epidemics, tracking of cases, identification of rumors, dissemination of information, decision-making and information for society.

Results:

Of the 2,227 studies retrieved based on screening procedures by title, abstract and full text reading, 68 articles were included. The most frequent digital tools used in arboviruses surveillance were Apps and Twitter. They were mostly used to support the traditional surveillance system, strengthening aspects such as: information timeliness, acceptability, flexibility, monitoring of outbreaks and/or epidemics, detection and tracking of cases, and simplicity.

Conclusions:

However, methodological approaches for validating data collected from unofficial sources remain as a challenge.


 Citation

Please cite as:

Melo CL, Rangel L, Guaraldo L, Paula DP, Wakimoto MD

Use of Digital Tools in Arbovirus Surveillance: A Scoping Review

JMIR Preprints. 17/02/2024:57476

DOI: 10.2196/preprints.57476

URL: https://preprints.jmir.org/preprint/57476

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