Earlier Outbreak Detection-A Generic Model and Novel Methodology to Guide Earlier Detection Supported by Data From Low- and Mid-Income Countries.
community-based surveillance
detection
earlier detection
infectious disease outbreaks
methodology
risk communication
surveillance
time-to-detection
Journal
Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579
Informations de publication
Date de publication:
2020
2020
Historique:
received:
07
08
2019
accepted:
21
07
2020
entrez:
5
10
2020
pubmed:
6
10
2020
medline:
6
10
2020
Statut:
epublish
Résumé
Infectious disease outbreaks can have significant impact on individual health, national economies, and social well-being. Through early detection of an infectious disease, the outbreak can be contained at the local level, thereby reducing adverse effects on populations. Significant time and funding have been invested to improve disease detection timeliness. However, current evaluation methods do not provide evidence-based suggestions or measurements on how to detect outbreaks earlier. Key conditions for earlier detection and their influencing factors remain unclear and unmeasured. Without clarity about conditions and influencing factors, attempts to improve disease detection remain
Identifiants
pubmed: 33014967
doi: 10.3389/fpubh.2020.00452
pmc: PMC7516212
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Pagination
452Informations de copyright
Copyright © 2020 Steele, Orefuwa, Bino, Singer, Lutwama and Dickmann.
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