Abortion related stigma: a case study of abortion stigma in regions with high and low incidences of unsafe abortion

Background: Abortion accounts for 35% of maternal mortality in Kenya. Kenya has reported an increase in the rate of unsafe abortions from 32 to 48 per 1000 women of reproductive age in 2002 and 2012 respectively. During the same period, women presented in public health facilities with severe complications indicating that women were having unsafe abortions.Objective: To investigate the association between incidences of unsafe abortion and stigma attitudes and beliefs about abortion among community member’s in two counties located in regions with either high or low incidences of unsafe abortion.Design: A cross-sectional comparative study.Settings: General community members in Trans Nzoia and Machakos Counties.Subjects: Men and women of reproductive age in Trans Nzoia and Machakos Counties.Results: Respondents in Trans Nzoia County reported the highest full-scale abortion stigma levels (μ=55.4) compared to those from Machakos County (μ=53.07). The mean differences in SABAS scores for all the four subscales were significant for fear of contagion, exclusion and discrimination and Negative stereotyping (p-value <0.000). Incidence region, educational attainment and marital status were all significantly associated with stigmatising attitudes. Respondents in the 35-49 age group showed more stigmatising attitudes than younger respondents, and married individuals showed more stigmatising attitudes than single respondents, and lower education levels were associated with higher levels of stigma.Conclusions: Mean stigma scores for counties with high incidence of unsafe abortions were higher than those from regions with a low incidences of unsafe abortion. Male community members, those with lower levels of education were more likely to report higher levels of stigma at the community level. The majority of women seeking abortion were viewed negatively by general community members, and this could explain women’s decision to seek an unsafe abortion

Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Kenyan blood donors.

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Africa is poorly described. The first case of SARS-CoV-2 in Kenya was reported on 12 March 2020, and an overwhelming number of cases and deaths were expected, but by 31 July 2020, there were only 20,636 cases and 341 deaths. However, the extent of SARS-CoV-2 exposure in the community remains unknown. We determined the prevalence of anti-SARS-CoV-2 immunoglobulin G among blood donors in Kenya in April-June 2020. Crude seroprevalence was 5.6% (174 of 3098). Population-weighted, test-performance-adjusted national seroprevalence was 4.3% (95% confidence interval, 2.9 to 5.8%) and was highest in urban counties Mombasa (8.0%), Nairobi (7.3%), and Kisumu (5.5%). SARS-CoV-2 exposure is more extensive than indicated by case-based surveillance, and these results will help guide the pandemic response in Kenya and across Africa

Temporal trends of SARS-CoV-2 seroprevalence during the first wave of the COVID-19 epidemic in Kenya.

Observed SARS-CoV-2 infections and deaths are low in tropical Africa raising questions about the extent of transmission. We measured SARS-CoV-2 IgG by ELISA in 9,922 blood donors across Kenya and adjusted for sampling bias and test performance. By 1st September 2020, 577 COVID-19 deaths were observed nationwide and seroprevalence was 9.1% (95%CI 7.6-10.8%). Seroprevalence in Nairobi was 22.7% (18.0-27.7%). Although most people remained susceptible, SARS-CoV-2 had spread widely in Kenya with apparently low associated mortality

Molecular characterisation of Duffy (FY) red blood cell variants among voluntary blood donors at the National Blood Grouping Testing Laboratory, Kenya

A variant is an alternative nucleotide located at a specific region of a gene. 48 genes encode for human red cell blood group systems. Variants within these genes encode for alleles, which can be highly polymorphic. The blood group gene loci jointly display all types of inherited variants to include single nucleotide variants insertions/deletions and structural variants. In Africa, there is limited information on the red cell variants. The aim of the study was to establish the frequency Duffy red blood cell variants among the donors in Kenya. The study employed next sequencing method, descriptive statistics and results presented in form of a table. The findings show that Duffy system has three variants to include; homozygous for FY*Null GATA regulatory box variant FY*02N.01/FY*02N.01 or Fy(a–b–) found in 93.52% (101/108), while FY*01/FY*02 and FY c.–67T>C predicted Fy(a+b–) or Fy(a–b+) at 3.70% (4/108) while FY*02/FY*02N.01 predicted Fy(a–b+) at 2.78% (3/108). This study recommends an extended research involving large sample size and introduction of extended phenotyping in the identification of FY antigens population

Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Kenyan blood donors

The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Africa is poorly described. The first case of SARS-CoV-2 in Kenya was reported on 12 March 2020, and an overwhelming number of cases and deaths were expected, but by 31 July 2020, there were only 20,636 cases and 341 deaths. However, the extent of SARS-CoV-2 exposure in the community remains unknown. We determined the prevalence of anti–SARS-CoV-2 immunoglobulin G among blood donors in Kenya in April–June 2020. Crude seroprevalence was 5.6% (174 of 3098). Population-weighted, test-performance-adjusted national seroprevalence was 4.3% (95% confidence interval, 2.9 to 5.8%) and was highest in urban counties Mombasa (8.0%), Nairobi (7.3%), and Kisumu (5.5%). SARS-CoV-2 exposure is more extensive than indicated by case-based surveillance, and these results will help guide the pandemic response in Kenya and across Africa

Replication Data for: Temporal trends of SARS-CoV-2 seroprevalence in transfusion blood donors during the first wave of the COVID-19 epidemic in Kenya

This is a replication dataset for the manuscript titled: "Temporal trends of SARS-CoV-2 seroprevalence in transfusion blood donors during the first wave of the COVID-19 epidemic in Kenya". These data contain anonymised residual donor serum samples used for screening of transfusion transmissible infections were collected at the KNBTS regional centres in 4 sites (Mombasa, Nairobi, Eldoret and Kisumu) which has been used to compute standardised prevalence by age, sex and region using KNBS population as the standard population