Evidence map›Paper›PMID 35699426›Full record

ArticleeLife2022

Transmission networks of SARS-CoV-2 in Coastal Kenya during the first two waves: A retrospective genomic study.

Charles N Agoti, Lynette Isabella Ochola-Oyier, Simon Dellicour, Khadija Said Mohammed, Arnold W Lambisia, Zaydah R de Laurent, John M Morobe, Maureen W Mburu, Donwilliams O Omuoyo, Edidah M Ongera and 26 more

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Rethinking the evidence on COVID-19 in Africa.The Lancet. Infectious diseases · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

36 authors.

Charles N AgotiKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0002-2160-567X
Lynette Isabella Ochola-OyierKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
Simon DellicourSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, Belgium.ORCID 0000-0001-9558-1052
Khadija Said MohammedKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
Arnold W LambisiaKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
Zaydah R de LaurentKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
John M MorobeKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0003-2398-6717
Maureen W MburuKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
Donwilliams O OmuoyoKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0003-3900-5354
Edidah M OngeraKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
Leonard NdwigaKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
Eric MaithaMinistry of Health, Nairobi, Kenya.
Benson KitoleMinistry of Health, Nairobi, Kenya.
Thani SuleimanMinistry of Health, Nairobi, Kenya.
Mohamed MwakinanguMinistry of Health, Nairobi, Kenya.
John K NyambuMinistry of Health, Nairobi, Kenya.
John OtienoMinistry of Health, Nairobi, Kenya.
Barke SalimMinistry of Health, Nairobi, Kenya.
Jennifer MusyokiKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
Nickson MurungaKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
Edward OtienoKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0002-8014-7306
John N KiiruMinistry of Health, Nairobi, Kenya.
Kadondi KaseraMinistry of Health, Nairobi, Kenya.
Patrick AmothMinistry of Health, Nairobi, Kenya.
Mercy MwangangiMinistry of Health, Nairobi, Kenya.
Rashid AmanMinistry of Health, Nairobi, Kenya.
Samson KinyanjuiKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
George WarimweKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
My PhanMedical Research Centre (MRC)/ Uganda Virus Research Institute, Entebbe, Uganda.ORCID 0000-0002-6905-8513
Ambrose AgweyuKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
Matthew CottenMedical Research Centre (MRC)/ Uganda Virus Research Institute, Entebbe, Uganda.ORCID 0000-0002-3361-3351
Edwine BarasaKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
Benjamin TsofaKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0003-1000-1771
D James NokesKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0001-5426-1984
Philip BejonKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.
George GithinjiKenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID 0000-0001-9640-7371

Funding

Medical Research Council MC_PC_19026Medical Research Council MC_PC_20010Medical Research Council MC_UU_12014/12Medical Research Council NC_PC_19060Wellcome TrustWellcome Trust 203077/Z/16/ZWellcome Trust 220977/Z/20/ZWellcome Trust 220985
6 · The paper itself

Abstract

Background: Detailed understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) regional transmission networks within sub-Saharan Africa is key for guiding local public health interventions against the pandemic. Methods: Here, we analysed 1139 SARS-CoV-2 genomes from positive samples collected between March 2020 and February 2021 across six counties of Coastal Kenya (Mombasa, Kilifi, Taita Taveta, Kwale, Tana River, and Lamu) to infer virus introductions and local transmission patterns during the first two waves of infections. Virus importations were inferred using ancestral state reconstruction, and virus dispersal between counties was estimated using discrete phylogeographic analysis. Results: During Wave 1, 23 distinct Pango lineages were detected across the six counties, while during Wave 2, 29 lineages were detected; 9 of which occurred in both waves and 4 seemed to be Kenya specific (B.1.530, B.1.549, B.1.596.1, and N.8). Most of the sequenced infections belonged to lineage B.1 (n = 723, 63%), which predominated in both Wave 1 (73%, followed by lineages N.8 [6%] and B.1.1 [6%]) and Wave 2 (56%, followed by lineages B.1.549 [21%] and B.1.530 [5%]). Over the study period, we estimated 280 SARS-CoV-2 virus importations into Coastal Kenya. Mombasa City, a vital tourist and commercial centre for the region, was a major route for virus imports, most of which occurred during Wave 1, when many Coronavirus Disease 2019 (COVID-19) government restrictions were still in force. In Wave 2, inter-county transmission predominated, resulting in the emergence of local transmission chains and diversity. Conclusions: Our analysis supports moving COVID-19 control strategies in the region from a focus on international travel to strategies that will reduce local transmission. Funding: This work was funded by The Wellcome (grant numbers: 220985, 203077/Z/16/Z, 220977/Z/20/Z, and 222574/Z/21/Z) and the National Institute for Health and Care Research (NIHR), project references: 17/63/and 16/136/33 using UK Aid from the UK government to support global health research, The UK Foreign, Commonwealth and Development Office. The views expressed in this publication are those of the author(s) and not necessarily those of the funding agencies.

Indexed as

COVID-19SARS-CoV-2GenomicsHumansKenyaPhylogenyRetrospective StudiesAfricaepidemiologygenomicsglobal healthinfectious diseasemicrobiologySARS-CoV-2spreadtransmissionviruses

Identifiers

PMID35699426
PMCPMC9282859

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.