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Marie S. Ndangang

Publications -  8
Citations -  132

Marie S. Ndangang is an academic researcher. The author has contributed to research in topics: Respiratory tract infections & Hepatitis E. The author has an hindex of 4, co-authored 7 publications receiving 72 citations.

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Dengue virus infection in people residing in Africa: a systematic review and meta-analysis of prevalence studies.

TL;DR: The prevalence of DENV infection is high in the African continent and deserves more attention from healthcare workers, researchers, and health policy makers.
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Gender development and hepatitis B and C infections among pregnant women in Africa: a systematic review and meta-analysis

TL;DR: The multivariable meta-regression analysis showed that the prevalence of HBV infection increased with decreasing gender development index, males’ level of education and females’ expected years of schooling, and this prevalence was higher in rural areas and in western and central Africa.
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Epidemiology of depressive disorders in people living with HIV in Africa: a systematic review and meta-analysis: Burden of depression in HIV in Africa.

TL;DR: More than one third of PLHIV face depressive disorders and half of them having major form, with heterogeneous distribution in the continent, which shows that depressive disorders deserve more attention from HIV healthcare providers for improved detection and overall proper management.
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Case fatality rate and viral aetiologies of acute respiratory tract infections in HIV positive and negative people in Africa: The VARIAFRICA-HIV systematic review and meta-analysis.

TL;DR: This study shows an increased risk of deaths among HIV-infected individuals with ARTI, however with no difference in viral aetiologies compared to HIV-negative individuals in Africa.
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Prevalence of respiratory bacterial infections in people with lower respiratory tract infections in Africa: the BARIAFRICA systematic review and meta-analysis protocol.

TL;DR: This systematic review and meta-analysis is intended to serve as a basis for determining the burden of LRTIs, for identifying data gaps and for guiding future investigations in Africa.