Regional vulnerability for COVID-19 in Cameroon

Introduction: few studies have assessed risk for coronavirus disease 2019 (COVID-19) within African countries. Here we examine differences in vulnerability to COVID-19 among the ten administrative Regions and two major cities of Cameroon based on epidemiological risk factors and access to healthcare resources. Methods: regional epidemiological and healthcare access vulnerability indices were created and compared with cumulative COVID-19 cases, case fatality rates, co-morbidities, and healthcare resources in Cameroon. Results: based on epidemiological risk factors, populations in the East Region, Douala (in the Littoral Region), West Region, and Yaoundé (in the Center Region) are at highest risk for COVID-19. Meanwhile, the North, Far North, East, and Adamawa Regions had the most healthcare access vulnerability. COVID-19 cases per population were highest in the Center, Littoral, and East Regions. Case fatality rates were greatest in the North Region. Potential co-morbidities with greater prevalence among COVID-19 patients included male sex, hypertension, and diabetes. Conclusion: epidemiological risk factors for COVID-19 and access to healthcare varies between the Regions of Cameroon. These discrepancies are potentially reflected in regional differences of COVID-19 cases and case fatality rates. In particular, the East Region has high epidemiological risk factors and low healthcare accessibility compared to other Regions. Understanding the relationships between epidemiological risk factors, access to healthcare resources, and COVID-19 cases in Cameroon could aid decision-making among national policymakers and inform further research

Evaluation of Virologic Methods for Early Detection of HIV-1 in a Resource-limited Setting: Performance and Cost Analysis

Introduction : Rapid testing and detection of acute HIV infection are two important arms in the prevention of HIV infection. Virologic testing for HIV remains the mainstay for early diagnosis of the infection. Nucleic acid-based testing for HIV however; requires expensive laboratory infrastructure and well-trained personnel; thereby making it not easily accessible in Low- Middle- Income Countries (LMIC). HIV DNA polymerase chain reaction is currently used by few laboratories in many LMIC to detect HIV in children born of HIV-positive mothers before 18 months. Challenges relating to timely result notification can be reduced if the Early Infant Diagnosis (EID) Programme is decentralized and with easy access to laboratory facilities using other tests with high performance characteristics. Methods: We evaluated the performance of five assays to identify HIV antibodies; p24 antigen; proviral DNA or viral RNA in 109 infants born to HIV-positive mothers in Yaounde; Cameroon. Results: The test performance (using plasma) of the HIV p24 antigen ELISA by Perkin Elmer; Roche Amplicor HIV-1 DNA PCR and the Abbott Realtime HIV-1 assay was 100 identifying 12 positive cases. A positive and significant correlation between the HIV-1 RNA viral load and HIV p24 antigen level was found (p0.05). Conclusion: Therefore; HIV p24 antigen detection by ELISA can be used for early diagnosis of HIV and thus recommended for a decentralized EID Programme in LMIC

Reference values of lymphocyte subsets in healthy, HIV-negative children in Cameroon.

Lymphocyte subset reference values used to monitor infectious diseases, including HIV/AIDS, tuberculosis, malaria, or other immunological disorders in healthy children in Cameroon, are lacking. Values for Caucasian cohorts are already being utilized for clinical decisions but could be inappropriate for African populations. We report here the immunological profile for children aged from birth through 6 years in Cameroon and also compare our values to data from other African and Caucasian populations. In a cohort of 352 healthy children, aged 0 to 6 years, the relative and absolute numbers of T-cell subsets, B cells, and NK lymphocytes were determined from peripheral blood collected in EDTA tubes. Samples were stained with BD Multitest reagents in Trucount tubes and analyzed by using CellQuest-Pro and FlowJo software. We evaluated about 23 different lymphocyte subsets in which the absolute number and percentage values differed significantly (P < 0.05) with age and peaked between 6 and 12 months. B-cell values were higher compared to reported values from developed countries. Differences in activated and differentiated T cells were observed in subjects between 1 and 6 years of age. The absolute CD8(+) T-cell count and the CD4(+)/CD8(+) ratio seem to depend on gender. Normal lymphocyte subsets values among children from Cameroon differ from reported values in Caucasian and some African populations. The differences observed could be due to genetic and environmental factors coupled with the methodology used. These values could be used as initial national reference guidelines as more data are assembled.