Evidence map›Paper›PMID 35356640›Full record

ArticleVirus evolution2022

Quantifying rates of HIV-1 flow between risk groups and geographic locations in Kenya: A country-wide phylogenetic study.

George M Nduva, Frederick Otieno, Joshua Kimani, Elizabeth Wahome, Lyle R McKinnon, Francois Cholette, Maxwell Majiwa, Moses Masika, Gaudensia Mutua, Omu Anzala and 10 more

Open access · goldAbstract read
In one paragraph

Article in Virus evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

20 authors at 10 institutions in 7 countries.

George M NduvaDepartment of Translational Medicine, Lund University, Faculty of Medicine, Lund University, Box 117 SE-221 00 Lund, Sweden.
Frederick OtienoNyanza Reproductive Health Society, United Mall, P.O. Box 1764, Kisumu, Kenya.
Joshua KimaniDepartment of Medical Microbiology, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya.
Elizabeth WahomeKenya Medical Research Institute-Wellcome Trust Research Programme, KEMRI-Center For Geographic Medicine Research, P.O. Box 230-80108, Kilifi, Kenya.
Lyle R McKinnonDepartment of Medical Microbiology, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya.
Francois CholetteDepartment of Medical Microbiology and Infectious Diseases, University of Manitoba, Max Rady College of Medicine, Room 543-745 Bannatyne Avenue, University of Manitoba (Bannatyne campus), Winnipeg MB R3E 0J9, Canada.
Maxwell MajiwaKenya Medical Research Institute/Center for Global Health Research, KEMRI-CGHR, P.O. Box 20778-00202, Kisumu, Kenya.
Moses MasikaFaculty of Health Sciences 3RD Floor Wing B, KAVI Institute of Clinical Research, University of Nairobi, P.O. Box 19676-00202, Nairobi, Kenya.
Gaudensia MutuaFaculty of Health Sciences 3RD Floor Wing B, KAVI Institute of Clinical Research, University of Nairobi, P.O. Box 19676-00202, Nairobi, Kenya.
Omu AnzalaFaculty of Health Sciences 3RD Floor Wing B, KAVI Institute of Clinical Research, University of Nairobi, P.O. Box 19676-00202, Nairobi, Kenya.
Susan M GrahamKenya Medical Research Institute-Wellcome Trust Research Programme, KEMRI-Center For Geographic Medicine Research, P.O. Box 230-80108, Kilifi, Kenya.
Larry GelmonDepartment of Medical Microbiology, University of Nairobi, P.O. Box 30197-00100, Nairobi, Kenya.
Matt A PriceIAVI Global Headquarters, 125 Broad Street, 9th Floor, New York, NY 10004, USA.
Adrian D SmithNuffield Department of Medicine, The University of Oxford, Old Road Campus, Headington, Oxford OX3 7BN, UK.
Robert C BaileyNyanza Reproductive Health Society, United Mall, P.O. Box 1764, Kisumu, Kenya.
Guy BaeleKU Leuven Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Evolutionary and Computational Virology, Rega-Herestraat 49-box 1040, Leuven 3000, Belgium.ORCID https://orcid.org/0000-0002-1915-7732
Philippe LemeyKU Leuven Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Clinical and Evolutionary and Computational Virology, Rega-Herestraat 49-box 1040, Leuven 3000, Belgium.
Amin S HassanDepartment of Translational Medicine, Lund University, Faculty of Medicine, Lund University, Box 117 SE-221 00 Lund, Sweden.
Eduard J SandersKenya Medical Research Institute-Wellcome Trust Research Programme, KEMRI-Center For Geographic Medicine Research, P.O. Box 230-80108, Kilifi, Kenya.
Joakim EsbjörnssonDepartment of Translational Medicine, Lund University, Faculty of Medicine, Lund University, Box 117 SE-221 00 Lund, Sweden.
University of Nairobi · KEKenya Medical Research Institute · KELund University · SERega Institute for Medical Research · BEInternational AIDS Vaccine Initiative · USNyanza Reproductive Health Society · KEPublic Health Agency of Canada · CAUniversity of Illinois Chicago · USUniversity of Oxford · GBUniversity of Washington · US

Funding

University of Washington Developmental AIDS Research Center for Mental Health (UW ARCH)P30MH123248 · NIMH · UNIVERSITY OF WASHINGTON · PI CHWASTIAK, LYDIA ANN · 2021 to 2024
$5.8M
NIMH NIH HHS P30 MH123248Wellcome Trust 209294/Z/17/Z
6 · The paper itself

Abstract

In Kenya, HIV-1 key populations including men having sex with men (MSM), people who inject drugs (PWID) and female sex workers (FSW) are thought to significantly contribute to HIV-1 transmission in the wider, mostly heterosexual (HET) HIV-1 transmission network. However, clear data on HIV-1 transmission dynamics within and between these groups are limited. We aimed to empirically quantify rates of HIV-1 flow between key populations and the HET population, as well as between different geographic regions to determine HIV-1 'hotspots' and their contribution to HIV-1 transmission in Kenya. We used maximum-likelihood phylogenetic and Bayesian inference to analyse 4058 HIV-1

Indexed as

HIV-1key populationsmolecular epidemiologytransmission

Identifiers

PMID35356640
PMCPMC8962731
OpenAlexW4214696480

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.