Evidence map›Paper›PMID 38114236›Full record

ArticleBMJ global health2023

Kenya's experience implementing event-based surveillance during the COVID-19 pandemic.

Linus Ndegwa, Philip Ngere, Lyndah Makayotto, Neha N Patel, Liku Nzisa, Nancy Otieno, Eric Osoro, Eunice Oreri, Elizabeth Kiptoo, Susan Maigua and 5 more

Abstract read
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Article in BMJ global health, 2023. 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. Advance Warning and Response Systems in Kenya: A Scoping Review.medRxiv : the preprint server for health sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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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

15 authors.

Linus NdegwaDivision of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.
Philip NgereGlobal Health Program, Washington State University, Nairobi, Kenya.
Lyndah MakayottoDivision of Disease Surveillance and Response, Kenya Ministry of Health, Nairobi, Kenya.
Neha N PatelDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Liku NzisaGlobal Health Program, Washington State University, Nairobi, Kenya.
Nancy OtienoCenter for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya.
Eric OsoroGlobal Health Program, Washington State University, Nairobi, Kenya.
Eunice OreriDepartment of Health, County Government of Siaya, Siaya, Kenya.
Elizabeth KiptooDepartment of Health, County Government of Nakuru, Nakuru, Kenya.
Susan MaiguaMedic Mobile Inc, San Francisco, California, USA.
Adam CrawleyDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Alexey W ClaraDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0003-3779-3449
S Arunmozhi BalajeeDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA fir3@cdc.gov.
Peninah MunyuaDivision of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.
Amy Herman-RoloffDivision of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Event-based surveillance (EBS) can be implemented in most settings for the detection of potential health threats by recognition and immediate reporting of predefined signals. Such a system complements existing case-based and sentinel surveillance systems. With the emergence of the COVID-19 pandemic in early 2020, the Kenya Ministry of Health (MOH) modified and expanded an EBS system in both community and health facility settings for the reporting of COVID-19-related signals. Using an electronic reporting tool, m-Dharura, MOH recorded 8790 signals reported, with 3002 (34.2%) verified as events, across both community and health facility sites from March 2020 to June 2021. A subsequent evaluation found that the EBS system was flexible enough to incorporate the addition of COVID-19-related signals during a pandemic and maintain high rates of reporting from participants. Inadequate resources for follow-up investigations to reported events, lack of supportive supervision for some community health volunteers and lack of data system interoperability were identified as challenges to be addressed as the EBS system in Kenya continues to expand to additional jurisdictions.

Indexed as

COVID-19PandemicsHumansKenyaPublic HealthCOVID-19EpidemiologyKenyaPublic Health

Identifiers

What OpenQuestion holds

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LicenceCC BY-NC
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.