Evidence map›Paper›PMID 35262086›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Imported SARS-COV-2 Variants of Concern Drove Spread of Infections Across Kenya During the Second Year of the Pandemic.

Carolyne Nasimiyu, Damaris Matoke-Muhia, Gilbert K Rono, Eric Osoro, Daniel O Obado, J Milkah Mwangi, Nicholas Mwikwabe, Kelvin Thiong'o, Jeanette Dawa, Isaac Ngere and 13 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

  • Updated by
5 · Who and what money

Authors and funding

23 authors.

Carolyne NasimiyuWashington State Global Health Program-Kenya, Washington State University, Nairobi, Kenya.
Damaris Matoke-MuhiaKenya Medical Research Institute, Nairobi, Kenya.
Gilbert K RonoInternational Livestock Research Institute, Nairobi, Kenya.
Eric OsoroWashington State Global Health Program-Kenya, Washington State University, Nairobi, Kenya.
Daniel O ObadoInternational Livestock Research Institute, Nairobi, Kenya.
J Milkah MwangiKenya Medical Research Institute, Nairobi, Kenya.
Nicholas MwikwabeKenya Medical Research Institute, Nairobi, Kenya.
Kelvin Thiong'oKenya Medical Research Institute, Nairobi, Kenya.
Jeanette DawaWashington State Global Health Program-Kenya, Washington State University, Nairobi, Kenya.
Isaac NgereWashington State Global Health Program-Kenya, Washington State University, Nairobi, Kenya.
John GachohiWashington State Global Health Program-Kenya, Washington State University, Nairobi, Kenya.
Samuel KariukiKenya Medical Research Institute, Nairobi, Kenya.
Evans AmukoyeKenya Medical Research Institute, Nairobi, Kenya.
Marianne MureithiDepartment of Medical Microbiology, University of Nairobi, Nairobi, Kenya.
Philip NgereKenya Ministry of Health, Nairobi, Kenya.
Patrick AmothKenya Ministry of Health, Nairobi, Kenya.
Ian WereKenya Ministry of Health, Nairobi, Kenya.
Lyndah MakayottoKenya Ministry of Health, Nairobi, Kenya.
Vishvanath NeneInternational Livestock Research Institute, Nairobi, Kenya.
Edward O AbworoInternational Livestock Research Institute, Nairobi, Kenya.
M Kariuki NjengaWashington State Global Health Program-Kenya, Washington State University, Nairobi, Kenya.
Stephanie N SeifertPaul G. Allen School for Global Health, Washington State University, Pullman, USA.
Samuel O OyolaInternational Livestock Research Institute, Nairobi, Kenya.

Funding

Emerging Infectious Diseases Research Center - East and Central AfricaU01AI151799 · NIAID · WASHINGTON STATE UNIVERSITY · PI M KARIUKI NJENGA · 2020 to 2026
$10.4M
Zoonotic and Emerging Infectious Diseases Training ProgramD43TW011519 · FIC · WASHINGTON STATE UNIVERSITY · PI Walter Godfrey Jaoko, Thumbi Mwangi · 2020 to 2026
$1.2M
FIC NIH HHS D43 TW011519NIAID NIH HHS U01 AI151799
6 · The paper itself

Abstract

Background: Using classical and genomic epidemiology, we tracked the COVID-19 pandemic in Kenya over 23 months to determine the impact of SARS-CoV-2 variants on its progression. Methods: SARS-CoV-2 surveillance and testing data were obtained from the Kenya Ministry of Health, collected daily from 306 health facilities. COVID-19-associated fatality data were also obtained from these health facilities and communities. Whole SARS-CoV-2 genome sequencing were carried out on 1241 specimens. Results: Over the pandemic duration (March 2020 - January 2022) Kenya experienced five waves characterized by attack rates (AR) of between 65.4 and 137.6 per 100,000 persons, and intra-wave case fatality ratios (CFR) averaging 3.5%, two-fold higher than the national average COVID-19 associated CFR. The first two waves that occurred before emergence of global variants of concerns (VoC) had lower AR (65.4 and 118.2 per 100,000). Waves 3, 4, and 5 that occurred during the second year were each dominated by multiple introductions each, of Conclusions: The emergence of

Indexed as

attack ratesCOVID-19 pandemicvariants of concern

Identifiers

PMID35262086
PMCPMC8902869

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.