Currently submitted to: JMIR Preprints
Date Submitted: Aug 10, 2023
Open Peer Review Period: Aug 10, 2023 - Jul 25, 2024
(currently open for review and needs more reviewers - can you help?)
Warning: This is an author submission that is not peer-reviewed or edited.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.
The Adequacy of Attribute-Based COVID-19 Surveillance Systems:A Literature Review
ABSTRACT
Background:
The COVID-19 pandemic has resulted in changes in all aspects of life. The high number of cases, morbidity, and mortality caused by COVID-19 infection has resulted in the importance of carrying out infectious disease surveillance to suppress the expansion of cases and obtain effective control.
Objective:
This study aims to evaluate the adequacy of attribute-based COVID-19 surveillance systems with a literature study approach.
Methods:
Qualitative descriptive research analyzes nine surveillance system attributes on articles that meet the inclusion and exclusion criteria in accordance with "Updated Guidelines for Evaluating Public Health Surveillance Systems". PubMed MesH term, Science Direct, Scopus, Web of Science, Europe PMC, and Google Scholar are some of the databases used for literature retrieval with the list of keywords are ‘Evaluation’; ‘Surveillance’; ‘Attribute’; ‘Nine attributes’; 'COVID-19' AND 'Corona Virus Disease-19' AND ‘SARS CoV-2’; ‘Epidemiological surveillance’. Descriptive data analysis was performed and presented in tables and narratives.
Results:
The study obtained six articles evaluating the spread of the COVID-19 surveillance system across six countries, including Ghana, Nigeria, Victoria, Indonesia, Ethiopia, and Pakistan. In the implementation method, four (67%) used sentinel surveillance, and two (33%) used epidemiological studies. Based on its activity, 5 (83%) used active and passive surveillance, while 1 (17%) used only passive surveillance. An attribute-based COVID-19 surveillance system adequacy assessment showed that three (50%) met the attribute of > 50%, namely, the surveillance systems in Nigeria, Indonesia, and Pakistan. In comparison, three (50%) did not meet the attributes of < 50%, namely, the surveillance systems in Ghana, Victoria, and Ethiopia.
Conclusions:
The COVID-19 surveillance system in each country is different in how well it works based on geography, the number of key informants and experts, the way stakeholders work together, and the health system policies in each country. Clinical Trial: Not Applicable
Citation
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