Enhancing epidemic preparedness: a data-driven system for managing respiratory infections

The prototype EWS represents a scalable and integrative framework aimed at enhancing public health applications, particularly in the context of respiratory infections. By incorporating data from diverse health sectors, the system offers decision-makers access to critical epidemiological indicators, supporting early outbreak detection and improved epidemic management. Its potential to unify health institutions underscores its value in fostering a more cohesive and effective approach to epidemic preparedness. Nevertheless, while the system demonstrates significant promise, further evaluation in real-world settings is essential to determine its practical impact on public health outcomes and its ability to mitigate health crises.

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Publication Details

Journal
BMC Infectious Diseases
Published
2025-02-03
DOI
https://doi.org/10.1186/s12879-025-10528-y
Citations
1
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
1.35

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article

Enhancing epidemic preparedness: a data-driven system for managing respiratory infections

Katayoun Jahangiri, Mohammad Reza Honarvar, Moslem Sarani, Manoochehr Karami
1 citations
BMC Infectious Diseases
Data-Driven Disease Surveillance
1.35
article

Enhancing epidemic preparedness: a data-driven system for managing respiratory infections

Katayoun Jahangiri, Mohammad Reza Honarvar, Moslem Sarani, Manoochehr Karami
article en
1 citations

Abstract

The prototype EWS represents a scalable and integrative framework aimed at enhancing public health applications, particularly in the context of respiratory infections. By incorporating data from diverse health sectors, the system offers decision-makers access to critical epidemiological indicators, supporting early outbreak detection and improved epidemic management. Its potential to unify health institutions underscores its value in fostering a more cohesive and effective approach to epidemic preparedness. Nevertheless, while the system demonstrates significant promise, further evaluation in real-world settings is essential to determine its practical impact on public health outcomes and its ability to mitigate health crises.

BMC Infectious DiseasesVol. 25(1)
Golestan University (IR), Golestan University of Medical Sciences (IR), Shahid Beheshti University of Medical Sciences (IR)
Shahid Beheshti University of Medical Sciences, Golestan University of Medical Sciences
Openalex Percentile: Top 23%
Data-Driven Disease Surveillance
1.35
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Enhancing epidemic preparedness: a data-driven system for managing respiratory infections — Katayoun Jahangiri, Mohammad Reza Honarvar, et al. · BMC Infectious Diseases (2025) | TGRS Research Map | TGRS