Evidence map›Paper›PMID 40973959›Full record

ArticleBMC health services research2025

Economic resilience in Central Africa in the face of COVID-19: corruption, a hindrance or a key factor?

Aristide Merlin Ngono, Bruno Emmanuel Ongo Nkoa, Marc-Hubert Depret, Cho Emmanuel Asafor

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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Aristide Merlin NgonoUniversity of Dschang - Cameroon, Association of Development Economics Researchers (ACEDA), Association des économistes et gestionnaires du Cameroun (AEGC), Laboratoire de Recherche en Economie Mathématique (LAREM), Yaoundé, Cameroon. aristidemerlin1994@gmail.com.ORCID http://orcid.org/0000-0002-5675-0885
Bruno Emmanuel Ongo NkoaUniversity of Yaounde II-Cameroon, Centre de Recherche en Economie et Gestion (CEREG), Association of Development Economics Researchers (ACEDA), Yaounde, Cameroon.ORCID http://orcid.org/0009-0008-0115-6759
Marc-Hubert DepretUniversity of Poitiers, LéP, Niort, France.ORCID http://orcid.org/0000-0003-4215-4473
Cho Emmanuel AsaforBEAC Nationale, Cameroon, Catholic University of Central Africa, Yaounde, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThe COVID-19 health crisis has triggered major economic shocks globally, particularly affecting the fragile economies of Central Africa. The region, faced with institutional challenges and sometimes fragile governance, has had to implement strict health measures (lockdowns, border closures, etc.) to limit the spread of the virus. However, the impact of these measures on economic resilience remains underexplored, particularly with regard to the influence of corruption in this process. This study aims to analyze the effects of COVID-19 control measures on economic resilience in the region, with a specific focus on the role of corruption.

methodsThe study is based on an econometric analysis using panel data covering several Central African countries during the pandemic. We use Ordinary Least Squares (OLS) and Triple Least Squares (TLS) regressions to estimate the impact of economic support policies, health measures, and corruption on the economic resilience index. Variables include income support, debt relief, and other health measures such as school and workplace closures. The corruption indicator is included to assess its influence on economic recovery.

resultsThe results show that income support policies and debt relief have a significant impact on economic resilience, but corruption exacerbates the negative effects on growth. Countries with higher levels of corruption experience slower economic recovery. Health measures such as school and workplace closures also have negative effects, although these are mitigated by appropriate support policies.

conclusionsThis study reveals that corruption plays a key role in post-COVID economic resilience in Central Africa. More transparent governance and stronger institutions are crucial to building resilience in the face of health crises. Recommendations include better management of public resources and the adoption of more inclusive economic policies to accelerate economic recovery.

Indexed as

COVID-19Africa, CentralHumansModels, EconometricPandemicsSARS-CoV-2Central AfricaCorruptionEconomic growthGDPResilience

Identifiers

PMID40973959
PMCPMC12447624

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.