Evidence map›Paper›PMID 41248143›Full record

ArticlePLOS global public health2025

Active vaccine safety surveillance: Experience from a prospective cohort event monitoring study of COVID-19 vaccines in Kenya.

Don B Odhiambo, Donald Akech, Boniface Karia, Makobu Kimani, Samuel Sang, Antipa Sigilai, Shirine Voller, Christine Mataza, David Mang'ong'o, Rose Jalang'o and 5 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Don B OdhiamboKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0009-0001-6811-5897
Donald AkechKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Boniface KariaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0003-0875-8935
Makobu KimaniKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0001-9275-4018
Samuel SangKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0009-0007-6851-2546
Antipa SigilaiKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0003-1185-3677
Shirine VollerKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0001-7382-8675
Christine MatazaDepartment of Health, County Government of Kilifi, Kilifi County, Kilifi, Kenya.
David Mang'ong'oDepartment of Health, County Government of Kilifi, Kilifi County, Kilifi, Kenya.ORCID https://orcid.org/0000-0002-1990-9121
Rose Jalang'oNational Vaccination and Immunization Programme, Ministry of Health, Government of Kenya, Nairobi, Kenya.ORCID https://orcid.org/0000-0003-3457-2587
Martha MandalePharmacy and Poisons Board, Ministry of Health, Government of Kenya, Nairobi, Kenya.ORCID https://orcid.org/0009-0008-2536-0973
Anthony O EtyangKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0003-1267-6422
John Anthony Gerard ScottKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0001-7533-5006
Ambrose AgweyuKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0001-8760-1279
Eunice Wangeci KaguciaKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0002-4481-8889

Funding

Wellcome Trust
6 · The paper itself

Abstract

Although active vaccine safety surveillance (VSS) can complement passive VSS while overcoming the inherent limitations of spontaneous safety monitoring, it remains rare in sub-Saharan Africa. We conducted post-authorization active VSS of COVID-19 vaccines in Kilifi, Kenya using a cohort event monitoring study design. Participants were followed weekly over 13 weeks for adverse events. A subset was followed daily for one week for solicited systemic reactogenicity events (chills, fatigue, fever, headache, joint pain, malaise, muscle aches, nausea). The daily prevalence of reactogenicity events was compared to the 3-day pre-vaccine average using McNemar's test. The association of baseline characteristics with reactogenicity events was assessed using logistic regression. Between 28th September 2022 and 30th June 2023, 2,440 participants were enrolled into the cohort; 1,000 systematically sampled participants were included in the reactogenicity sub-study. Most were aged 17-39 years (1683; 69.0%) and were female (1895; 77.7%); 535 (28.2%) female participants were pregnant. The three most frequently reported reactogenicity events were fatigue (422; 44.1%), headache (370; 38.7%), and malaise (346; 36.2%); the proportion of severe events ranged from 2.3% (22; nausea) to 5.0% (48; malaise). Except for headache, the prevalence of systemic reactogenicity events was significantly higher in the first two days post-vaccination than pre-vaccination (p-values <0.05). The odds of reactogenicity events were higher among non-pregnant women (adjusted odds ratio [aOR] 1.81; 95% CI 1.28-2.55) and pregnant women (aOR 1.69; 1.03-2.78) than among men, and higher among Johnson & Johnson (aOR 2.05; 1.40-3.00) and Moderna (aOR 4.19; 2.34-7.51) vaccine recipients than among Pfizer vaccine recipients. The prevalence of pregnancy complications was 2.6% (95% CI 1.4-3.5%) against a background prevalence of 3-49%. Reactogenicity events following COVID-19 vaccination were generally non-severe and transient. There was no elevated risk of pregnancy-related complications. Addressing operational barriers is essential for enhancing the utility and feasibility of future active VSS.

Identifiers

PMID41248143
PMCPMC12622800

What Socratic 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 Socratic graph.