The Impact of the SARS-CoV-2 Pandemic on Mental Health in Vulnerable Population Settings: The Case of Jordan

Bellizzi, Saverio; Samawi, Luma; Al-Shaikh, Ala’a; Alfar, Hadeel; Muthu, Nazeema; Profili, Maria Cristina

doi:10.3389/fpsyt.2021.692541

Cited by 1 publication

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References 6 publications

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“…However, PDIs are unsustainable and may have wider-reaching detrimental effects. For example, home confinement considerably increased the rate of domestic violence in many countries, affecting women and children the most (12), and limited access to essential services for vulnerable populations (13)(14)(15)(16)(17). Therefore, tailored interventions that maintain persons' livelihoods and keep economies functional while protecting persons at high risk need to be considered (11).…”

Section: Participatory Mathematical Modeling Approach For Policymakin...mentioning

confidence: 99%

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

Bellizzi,

Letchford,

Adib

et al. 2023

Emerg. Infect. Dis.

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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.

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Section: Participatory Mathematical Modeling Approach For Policymakin...mentioning

confidence: 99%

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

Bellizzi,

Letchford,

Adib

et al. 2023

Emerg. Infect. Dis.

Self Cite

View full text Add to dashboard Cite

show abstract

The Impact of the SARS-CoV-2 Pandemic on Mental Health in Vulnerable Population Settings: The Case of Jordan

Cited by 1 publication

References 6 publications

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

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

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