ABSTRACT
BackgroundCOVID-19, caused by SARS-CoV-2, is one of the deadliest pandemics over the last 100 years. Sequencing is playing an important role in monitoring the evolution of the virus, including the detection of new viral variants. This study describes the genomic epidemiology of SARS-CoV-2 infections in The Gambia. MethodsNasopharyngeal and/or oropharyngeal swabs collected from suspected cases and travellers were tested for SARS-CoV-2 using standard RT-PCR methods. SARS-CoV-2 positive samples were sequenced following standard library preparation and sequencing protocols. Bioinformatic analysis was done using ARTIC pipelines and lineages assigned using Pangolin. FindingsBetween March 2020 to January 2022, there were almost 12,000 SARS-CoV-2 confirmed cases distributed into four waves, each of them lasting between 4 weeks and 4 months, with more cases during the rainy seasons (July-October). As shown by the 1643 sequenced samples, each wave occurred after new viral variants and/or lineages were introduced in The Gambia, generally those already established in Europe and/or in other African countries. Local transmission was higher during the first and third wave, with mostly B.1.416/Senegal/Gambian lineage and AY.34.1/Delta subtype, respectively. The second wave was driven by two variants, namely Alpha and Eta and B.1.1.420 lineage. The Omicron/fourth wave was the shortest. InterpretationEfficient surveillance, including strengthening entry points and screening asymptomatic individuals especially during the rainy seasons would be important to promptly detect and control future waves in The Gambia and the subregion. FundingMedical Research Unit The Gambia at LSHTM, UK Research and Innovation funding (grant reference MC_PC_19084), MRC/UKRI MC_PC_19084 and World Health Organisation.
ABSTRACT
BackgroundThe ability of SARS-CoV-2 vaccines to protect against infection and onward transmission determines whether immunisation can control global circulation. We estimated effectiveness of BNT162b2 and ChAdOx1 vaccines against acquisition and transmission of the Alpha and Delta variants in a prospective household study in England. MethodsAdult index cases in the community and their household contacts took oral-nasal swabs on days 1, 3 and 7 after enrolment. Swabs were tested by RT-qPCR with genomic sequencing conducted on a subset. We used Bayesian logistic regression to infer vaccine effectiveness against acquisition and transmission, adjusted for age, vaccination history and variant. FindingsBetween 2 February 2021 and 10 September 2021 213 index cases and 312 contacts were followed up. After excluding households lacking genomic proximity (N=2) or with unlikely serial intervals (N=16), 195 households with 278 contacts remained of whom 113 (41%) became PCR positive. Delta lineages had 1.64 times the risk (95% Credible Interval: 1.15 - 2.44) of transmission than Alpha; contacts older than 18 years were 1.19 times (1.04 - 1.52) more likely to acquire infection than children. Effectiveness of two doses of BNT162b2 against transmission of Delta was 31% (-3%, 61%) and 42% (14%, 69%) for ChAdOx1, similar to their effectiveness for Alpha. Protection against infection with Alpha was higher than for Delta, 71% (12%,95%) vs 24% (-2%, 64%) respectively for BNT162b2 and 26% (-39%, 73%) vs 14% (-5%, 46%) respectively for ChAdOx1. InterpretationBNT162b2 and ChAdOx1 reduce transmission of the Delta variant from breakthrough infections in the household setting though their protection against infection is low. FundingThis study was funded by the UK Health Security Agency (formerly Public Health England) as part of the COVID-19 response.
ABSTRACT
Structured abstractO_ST_ABSObjectivesC_ST_ABSTo characterise within-hospital SARS-CoV-2 transmission across two waves of the COVID-19 pandemic. DesignA retrospective Bayesian modelling study to reconstruct transmission chains amongst 2181 patients and healthcare workers using combined viral genomic and epidemiological data. SettingA large UK NHS Trust with over 1400 beds and employing approximately 17,000 staff. Participants780 patients and 522 staff testing SARS-CoV-2 positive between 1st March 2020 and 25th July 2020 (Wave 1); and 580 patients and 299 staff testing SARS-CoV-2 positive between 30th November 2020 and 24th January 2021 (Wave 2). Main outcome measuresTransmission pairs including who-infected-whom; location of transmission events in hospital; number of secondary cases from each individual, including differences in onward transmission from community and hospital onset patient cases. ResultsStaff-to-staff transmission was estimated to be the most frequent transmission type during Wave 1 (31.6% of observed hospital-acquired infections; 95% CI 26.9 to 35.8%), decreasing to 12.9% (95% CI 9.5 to 15.9%) in Wave 2. Patient-to-patient transmissions increased from 27.1% in Wave 1 (95% CI 23.3 to 31.4%) to 52.1% (95% CI 48.0 to 57.1%) in Wave 2, to become the predominant transmission type. Over 50% of hospital-acquired infections were concentrated in 8/120 locations in Wave 1 and 10/93 locations in Wave 2. Approximately 40% to 50% of hospital-onset patient cases resulted in onward transmission compared to less than 4% of definite community-acquired cases. ConclusionsPrevention and control measures that evolved during the COVID-19 pandemic may have had a significant impact on reducing infections between healthcare workers, but were insufficient during the second wave to prevent a high number of patient-to-patient transmissions. As hospital-acquired cases appeared to drive most onward transmissions, more frequent and rapid identification and isolation of these cases will be required to break hospital transmission chains in subsequent pandemic waves.
