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Title:Balancing health and socioeconomic impacts : a uniform framework for evaluating non-pharmaceutical interventions
Authors:ID Gams, Matjaž (Author)
ID Marinko, Anže (Author)
ID Reščič, Nina (Author)
ID Vodopija, Aljoša (Author)
ID Vandepitte, Sophie (Author)
ID De Smedt, Delphine (Author)
ID Javornik, Jana S. (Author)
ID Strle, Franc (Author)
ID Janko, Vito (Author)
ID Susič, David (Author)
ID Anžur, Zoja (Author)
ID Luštrek, Mitja (Author)
Files:.pdf PDF - Presentation file, download (10,29 MB)
MD5: 285F7B5EB0511CB96D916DDC8F1F8F20
 
URL URL - Source URL, visit https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0324232
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo UKC LJ - Ljubljana University Medical Centre
Abstract:This paper introduces a uniform evaluation framework for assessing the effectiveness of past non-pharmaceutical interventions (NPIs) in managing infectious diseases, taking into account the cultural and social differences between countries. The framework enables quantifying and finding the optimal balance of both the health and socioeconomic impacts of NPIs. The aim is to assist policymakers in understanding which NPIs lead to the optimal balance by highlighting unnecessary costs - the costs that could be avoided while maintaining the same infection rates. To assess the extent of unnecessary socioeconomic consequences experienced by a country during a past epidemic of infectious diseases, we use the following approach. First, we develop a model that predicts the number of infections from NPIs in a country. Second, we estimate the socioeconomic costs (SEC) of the NPIs universally for countries included in the study. Third, we develop a model that prescribes the NPI plans with the optimal trade-off between the number of infections and the SEC. Fourth, we create a model that specifically adjusts each country’s SEC. Finally, we provide additional analysis to increase comprehension of the effects of NPIs. Demonstrated through an analysis of COVID-19 pandemic responses in 17 countries, the study offers a systematic presentation of the framework and a concrete examination of the integrated effects of NPIs. It provides insights into interventions’ direct and indirect consequences, offering guidance for future epidemic responses. The framework enables a systematic understanding of the effects of the NPIs applied, acknowledging the national diversity in health measure acceptance and implementation. This allows for fair analysis across countries, identifying and displaying the economic, social, and health-related costs of suboptimal NPI strategies, i.e., unnecessary costs. The framework is applicable for any infectious disease, NPIs, or country, assuming the medical interventions are similar, e.g., timing and amount of vaccination
Keywords:Bombus dahlbomii, Patagonian bumblebee, invasive species, population dynamics, socioeconomic consequences, infectious diseases
Publication status:Published
Publication version:Version of Record
Year of publishing:2025
Number of pages:str. 1-25
Numbering:Vol. 20, iss. 6, [article no.] e0324232
PID:20.500.12556/DiRROS-24123 New window
UDC:004.93+61
ISSN on article:1932-6203
DOI:10.1371/journal.pone.0324232 New window
COBISS.SI-ID:238452995 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 5. 6. 2025;
Publication date in DiRROS:14.11.2025
Views:161
Downloads:91
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Record is a part of a journal

Title:PloS one
Publisher:Public Library of Science
ISSN:1932-6203
COBISS.SI-ID:2005896 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0209-2022
Name:Umetna inteligenca in inteligentni sistemi

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:algoritmi, nefarmacevtske intervencije, stroški, ocene, socialno-ekonomski statusi


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