ABSTRACT
Investment in Africa over the past year with regards to SARS-CoV-2 genotyping has led to a massive increase in the number of sequences, exceeding 100,000 genomes generated to track the pandemic on the continent. Our results show an increase in the number of African countries able to sequence within their own borders, coupled with a decrease in sequencing turnaround time. Findings from this genomic surveillance underscores the heterogeneous nature of the pandemic but we observe repeated dissemination of SARS-CoV-2 variants within the continent. Sustained investment for genomic surveillance in Africa is needed as the virus continues to evolve, particularly in the low vaccination landscape. These investments are very crucial for preparedness and response for future pathogen outbreaks.
ABSTRACT
BackgroundLong-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) target night-time indoor biting mosquitoes and effectively reduce malaria transmission in rural settings across Africa, but additional vector control tools are needed to interrupt transmission. Attractive targeted sugar baits (ATSBs) attract and kill mosquitoes, including those biting outdoors. Deployment of ATSBs incorporating the insecticide dinotefuran was associated with major reductions in mosquito density and longevity in Mali. The impact of this promising intervention on malaria transmission and morbidity now needs to be determined in a range of transmission settings.Methods/DesignWe will conduct three similar stand-alone, open-label, two-arm, cluster-randomized, controlled trials (cRCTs) in Mali, Kenya, and Zambia to determine the impact of ATSB + universal vector control versus universal vector control alone on clinical malaria. The trials will use a ‘fried-egg’ design, with primary outcomes measured in the core area of each cluster to reduce spill-over effects. All household structures in the ATSB clusters will receive two ATSBs, but the impact will be measured in the core of clusters. Restricted randomization will be used. The primary outcome is clinical malaria incidence among children aged 5-14 years in Mali and 1-14 years in Kenya and Zambia. A key secondary outcome is malaria parasite prevalence across all ages. The trials will include 76 clusters (38 per arm) in Mali and 70 (35 per arm) in each of Kenya and Zambia. The trials are powered to detect a 30% reduction in clinical malaria, requiring a total of 3,850 person-years of follow-up in Mali, 1,260 person-years in Kenya, and 1,610 person-years in Zambia. These sample sizes will be ascertained using two seasonal 8-month cohorts in Mali, and two 6-month seasonal cohorts in Zambia. In Kenya, which has year-round transmission, four 6-month cohorts will be used (total 24 months of follow-up). The design allows for one interim analysis in Mali and Zambia and two in Kenya.DiscussionStrengths of the design include: the use of multiple study sites with different transmission patterns and a range of vectors to improve external validity; a large number of clusters within each trial site; restricted randomization; between-cluster separation to minimize contamination between study arms; and an adaptive trial design. Noted threats to internal validity include: open-label design, risk of contamination between study arms, risk of imbalance of covariates across study arms, variation in durability of ATSB stations and potential disruption resulting from the COVID-19 pandemic.Trial registrationZambia: NCT04800055. Registration date: March 15, 2021 - https://clinicaltrials.gov/ct2/show/NCT04800055Mali: NCT04149119. Registration date: November 4, 2019 -https://clinicaltrials.gov/ct2/show/results/NCT04149119Kenya: NCT05219565. Registration date: February 2, 2022 - https://clinicaltrials.gov/ct2/show/NCT05219565
Subject(s)
COVID-19ABSTRACT
Background. Sparse data documenting the impact of COVID-19 in Africa has fostered the belief that COVID-19 skipped Africa. We previously published results from a systematic postmortem surveillance at a busy inner-city morgue in Lusaka, Zambia. Between June-October 2021, we detected COVID-19 in 15-19% of all deaths and concentrated in community settings where testing for COVID-19 was absent. Yet these conclusions rested on a small cohort of 70 COVID-19+ individuals. Subsequently, we conducted a longer and far larger follow-on survey using the same methodology. Methods We obtained a nasopharyngeal swab from each enrolled decedent and tested these using reverse transcriptase quantitative PCR (RT-qPCR). A subset of samples with a PCR cycle threshold <30 underwent genotyping to identify viral variants. We weighted our results to adjust for enrolment ratios and stratified them by setting (facility vs. community), time of year, age, and location. Results From 1,118 enrolled decedents, COVID-19 was detected among 32.0% (358/1,116). We observed three waves of transmission that peaked in July 2020, January 2021, and ~June 2021 (end of surveillance). These were dominated by viral variants AE.1, Beta, and Delta, respectively. During peak transmission, COVID-19 was detected in ~90% of all deaths. COVID-19 deaths clustered in Lusakas poorest city wards. Roughly four COVID-19 deaths occurred in the community for every facility death. Antemortem testing occurred for 52.6% (302/574) of facility deaths but only 1.8% (10/544) of community deaths; overall, only ~10% of COVID-19+ deaths were identified in life. Conclusions COVID-19 had a devastating impact in Lusaka. COVID-19+ deaths occurred in all age groups and was the leading cause of death during peak transmission periods. Testing was rarely done for the vast majority of COVID-19 deaths that occurred in the community, yielding a substantial undercount. If typical, these findings contradict assertions that Africa was spared from the COVID-19 pandemic.
Subject(s)
COVID-19 , DeathABSTRACT
The progression of the SARS-CoV-2 pandemic in Africa has so far been heterogeneous and the full impact is not yet well understood. Here, we describe the genomic epidemiology using a dataset of 8746 genomes from 33 African countries and two overseas territories. We show that the epidemics in most countries were initiated by importations, predominantly from Europe, which diminished following the early introduction of international travel restrictions. As the pandemic progressed, ongoing transmission in many countries and increasing mobility led to the emergence and spread within the continent of many variants of concern and interest, such as B.1.351, B.1.525, A.23.1 and C.1.1. Although distorted by low sampling numbers and blind-spots, the findings highlight that Africa must not be left behind in the global pandemic response, otherwise it could become a breeding ground for new variants.