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Participatory Mathematical Modeling Approach for Policymaking during the First Year of the COVID-19 Crisis, Jordan

Abstract:
We engaged in a participatory modeling approach with health sector stakeholders in Jordan to support government decision-making regarding implementing public health measures to mitigate COVID-19 disease burden. We considered the effect of 4 physical distancing strategies on reducing COVID-19 transmission and mortality in Jordan during March 2020–January 2021: no physical distancing; intermittent physical distancing where all but essential services are closed once a week; intermittent physical distancing where all but essential services are closed twice a week; and a permanent physical distancing intervention. Modeling showed that the fourth strategy would be most effective in reducing cases and deaths; however, this approach was only marginally beneficial to reducing COVID-19 disease compared with an intermittently enforced physical distancing intervention. Scenario-based model influenced policy-making and the evolution of the pandemic in Jordan confirmed the forecasting provided by the modeling exercise and helped confirm the effectiveness of the policy adopted by the government of Jordan
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3201/eid2909.221493

Authors

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-4119-0803
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Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-9995-8400
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-3437-759X
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-5531-1082


Publisher:
Centers for Disease Control and Prevention
Journal:
Emerging Infectious Diseases More from this journal
Volume:
29
Issue:
9
Pages:
1738-1746
Publication date:
2023-08-24
DOI:
EISSN:
1080-6059
ISSN:
1080-6040


Language:
English
Keywords:
Pubs id:
1518442
Local pid:
pubs:1518442
Source identifiers:
W4386084321
Deposit date:
2026-05-12
ARK identifier:
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