We estimated the seroprevalence of anti‐severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) antibodies in residents of African countries and explored its associated factors. We searched PubMed, EMBASE, PsycINFO, AMED, CINAHL, DOAJ and Google Scholar databases for peer reviewed articles and pre‐prints that reported anti‐SARS‐CoV‐2 antibody seroprevalence of general or specific human populations resident in Africa. The eligible studies were evaluated using Joana Briggs Institute prevalence critical appraisal tool. Twenty‐three studies involving 27,735 individuals were included in our paper. The pooled seroprevalence of anti‐SARS‐CoV‐2 antibodies in Africa was 22% (95%CI: 14–31) with very high heterogeneity ( I 2 = 100%, p < 0.001). Seroprevalence was highest in studies conducted in Central Africa compared to Southern Africa, West Africa, North Africa and East Africa respectively. The number of days between the first reported coronavirus disease 2019 case in each country and when a seroprevalence study was conducted was a significant moderator of seroprevalence. Seropositivity was numerically influenced by gender and age of the participants with males and those aged below 50 years being most affected with SARS‐CoV‐2 infection. The highest pooled seroprevalence in Africa reported in this review should be interpreted cautiously due to high heterogeneity between studies. Continued seroprevalence surveillance is warranted to establish Africa's transition towards herd immunity.

No abstract

Type 2 diabetes mellitus is no longer a disease of high income countries but a global health pandemic. With the continued and rapid increase in its prevalence worldwide it is forecasted that diabetes will be a leading cause of morbidity and mortality. A major concern stems from its role in development and progression of cardiovascular disease, including cardiac dysfunction and heart failure. Within low- and middle-income areas such as Sub-Saharan Africa the burden of diabetes is already significant driven by many factors, including, socioeconomic (urbanisation), nutritional (high-calorie "western-diet", obesity) and lifestyle (physical inactivity) changes. Insufficient economic and community resources, poor health care system development and chronic disease management, poor education, and a lack of preventative and diagnostic measures further aggravate the severity of the diabetes problem. This review outlines the burden of type 2 diabetes mellitus in Sub-Saharan Africa and highlights the need for improved community health care and regulations to reduce its epidemiological spread and devastating impact on health.

BackgroundReference ranges for haematological and other laboratory tests in most African countries are based on populations in Europe and America and, because of environmental and genetic factors, these may not accurately reflect the normal reference ranges in African populations. AimTo determine the distribution of haematological parameters in healthy individuals residing in Blantyre, Malawi. We also examined the effect of sociodemographic and nutritional factors on the haematological variables. MethodsWe conducted a proof-of-concept cross-sectional study, involving 105 healthy blood donors at Malawi Blood Transfusion Service in Blantyre. Eligible participants were HIV-negative males and females, aged 19 to 35 years, who did not have any evidence of acute or chronic illness, or bloodborne infection. We performed the haematological tests at the MalawiLiverpool Wellcome Trust laboratory in Blantyre, and the screening tests at Malawi Blood Transfusion Service laboratories. ResultsOut of 170 consenting healthy volunteers, haematological results were available for 105 participants. The proportions of results which were below the lower limit of the manufacturer's reference ranges were 35.2% (37/105) for haemoglobin, 15.2% (16/105) for neutrophils, 23.8% (25/105) for eosinophils, and 88.6 % (93/105) for basophils. The proportions of results that were above the upper limit of the manufacturer's reference ranges were 9.5% (10/105) for platelets and 12.4% (13/105) for monocytes. We also observed that the mean leucocyte and basophil counts were significantly higher in males than females (p = 0.042 and p = 0.015, respectively). There were no statistically significant differences in haematological results observed among different ethnic, age, and body mass index groups. Conclusions Over half of otherwise healthy study participants had at least one abnormal haematological result, using previously established foreign standards. More detailed studies are needed to establish locally relevant normal ranges for different age groups and other demographic characteristics of the Malawian population. This will lead to accurate interpretation of laboratory results.

ObjectiveTo determine the aetiology of community acquired pneumonia in children presenting to primary care in Northern Malawi, and to ascertain predictors for identification of children requiring hospitalisation.DesignThe BIOmarkers TO diagnose PnEumonia study was a prospective cohort study conducted from March to June 2016.SettingPrimary care in Northern Malawi.Patients494 children aged 2 –59 months with WHO defined pneumonia.Main outcome(s) and measure(s)Number of children with bacterial infection identified and the sensitivity/specificity of WHO markers of severity for need for hospitalisation.Results13 (2.6%) children had a bacterium consistent with pneumonia identified. A virus consistent with pneumonia was identified in in 448 (90.7%) of children. 56 children were admitted to hospital and two children died within 30 days. 442 (89.5%) received antibiotic therapy. Eleven children (2.6%) had HIV. WHO severity markers at baseline demonstrated poor sensitivity for the need for hospitalisation with a sensitivity of 0.303 (95% CI 0.188 to 0.441) and a specificity 0.9 (95% CI 0.868 to 0.926). A prediction rule to indicate the need for hospitalisation was developed.Conclusions and relevanceThe low rate of bacterial infection and high use of antibiotics in the setting of high immunisation rates highlights the changing profile of childhood pneumonia. Similarly, the markers of need for hospitalisation may have changed in the setting of extended immunisation. Further studies are required to examine this.