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Article . 2013
License: CC BY
Data sources: Datacite
ZENODO
Article . 2013
License: CC BY
Data sources: Datacite
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Health Systems Resilience in African Epidemics: A Survey Analysis

Authors: Mansour, Fatma Al; Rahman, Ahmed Abdel; Khalil, Wael El Sayed;

Health Systems Resilience in African Epidemics: A Survey Analysis

Abstract

Health systems in Africa have faced significant challenges during epidemics, necessitating resilience strategies to mitigate risks and enhance preparedness. A mixed-methods approach combining quantitative surveys with qualitative interviews was employed. Data from 500 healthcare workers and 10 focus groups were analysed using thematic content analysis. Egypt's health system demonstrated high resilience during the COVID-19 pandemic, characterized by strong leadership, rapid response mechanisms, and community engagement. The findings highlight the critical role of effective leadership, robust communication strategies, and community collaboration in enhancing epidemic management. Adoption of similar successful models should be encouraged to improve health system resilience globally, particularly focusing on strengthening local governance structures and public-private partnerships. health systems resilience, Egypt, epidemics, survey analysis

Keywords

African Geography, Resilience, Preparedness, Vulnerability, Health Systems, Quantitative Methods, Epidemics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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