Evidence map›Paper›PMID 40010777›Full record

ArticleBMJ global health2025

Early warning and response systems for respiratory disease outbreaks: lessons learnt from cluster-associated cases of acute respiratory illnesses in Gilgil subcounty, Nakuru County, Kenya, 2021.

Philip Ngere, Radhika Gharpure, Stella Mamuti, Peninah Munyua, M Kariuki Njenga, Lyndah Makayotto, Linus Ndegwa, Erenius Lochede Nakadio, Rosalia Kalani, Ahmed Abade and 8 more

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

18 authors.

Philip NgereGlobal Health Program, Washington State University, Nairobi, Kenya philip.ngere@wsu.edu.ORCID http://orcid.org/0009-0004-6164-7972
Radhika GharpureUS Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0002-0702-5628
Stella MamutiField Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya.
Peninah MunyuaDivision of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.
M Kariuki NjengaGlobal Health Program, Washington State University, Nairobi, Kenya.ORCID http://orcid.org/0000-0002-7629-7002
Lyndah MakayottoDivision of Disease Surveillance and Response, Ministry of Health, Nairobi, Kenya.
Linus NdegwaDivision of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.
Erenius Lochede NakadioField Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya.
Rosalia KalaniDivision of Disease Surveillance and Response, Ministry of Health, Nairobi, Kenya.
Ahmed AbadeField Epidemiology and Laboratory Training Program, Ministry of Health, Nairobi, Kenya.
Elizabeth KiptooDepartment of Health Services, County Government of Nakuru, Nakuru, Kenya.
Jacob RotichDepartment of Health Services, County Government of Nakuru, Nakuru, Kenya.
Emily CheruiyotDepartment of Health Services, County Government of Nakuru, Nakuru, Kenya.
Gideon O EmukuleInfluenza Division, Centers for Disease Control and Prevention, Nairobi, Kenya.
Eric OsoroPaul G Allen School for Global Health, Washington State University, Pullman, Washington, USA.
Shirley LidechiCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Amy Herman-RoloffCenters for Disease Control and Prevention, Nairobi, Kenya.
Arunmozhi Arunmozhi BalajeeDivision of Viral Diseases, CDC, Atlanta, Georgia, USA.

Funding

Emerging Infectious Diseases Research Center - East and Central AfricaU01AI151799 · NIAID · WASHINGTON STATE UNIVERSITY · PI M KARIUKI NJENGA · 2020 to 2026
$10.4M
CGH CDC HHS U01 GH000031NIAID NIH HHS U01 AI151799
6 · The paper itself

Abstract

Investigating acute respiratory illnesses (ARIs) is difficult due to non-specific symptoms, varied health-seeking behaviors, and resource limitations; yet early detection is critical to global health security. Kenya's Ministry of Health (MOH) uses the Integrated Disease Surveillance strategy for public health surveillance, incorporating event-based surveillance (EBS) and indicator-based surveillance (IBS) for early warning system. MOH, supported by the US-CDC, established Influenza Sentinel Surveillance (ISS) in 2006 and later launched community EBS (CEBS) and health facility EBS (HEBS) pilots to enhance surveillance for COVID-19. On March 2, 2021, the CEBS system detected a signal of "Two or more people presenting with similar signs and symptoms in a community within a week" in a county. Investigations launched on March 4, 2021, investigations revealed unreported ARI cases which had been missed by both the ISS and IBS. A total of 176 ARI cases were line-listed with 91/176 (51.7%) aged <5-years and 46/176 (26.1%) hospitalized. RT-PCR tests confirmed 34/79 (43.0%) SARS-CoV-2 and 1/7 (14.3%) A/H3N2 cases. Of the CEBS, HEBS, IBS, and ISS systems deployed by the county to strengthen the early warning for respiratory diseases, CEBS detected a signal of unreported ARIs that facilitated further investigations and response.

Indexed as

COVID-19Disease OutbreaksPublic Health SurveillanceRespiratory Tract InfectionsAcute DiseaseAdultHumansKenyaMaleSARS-CoV-2Sentinel SurveillanceCOVID-19KenyaRespiratory infections

Identifiers

PMID40010777
PMCPMC11865744

What OpenQuestion holds

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Registered trials

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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.