Evidence map›Paper›PMID 40343014›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Prevalence of Long COVID in

Asiko Ongaya, Ariana R Cardenas, Clement Shiluli, Lourdes B Ramos, Liz C Senador, Juan A Flores, Bernard N Kanoi, Josephine F Reijneveld, Angel Ruvalcaba, Danny Perez and 7 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Asiko OngayaCentre for Respiratory Diseases Research, Kenya Medical Research Institute, Nairobi, Kenya.ORCID 0000-0003-3656-875X
Ariana R CardenasEscuela Profesional de Tecnología Médica, Universidad Privada San Juan Bautista, Lima, Perú.ORCID 0000-0002-4408-5769
Clement ShiluliCentre for Research in Infectious Diseases, Mount Kenya University, Thika, Kenya.ORCID 0000-0002-1909-3791
Lourdes B RamosEscuela Profesional de Tecnología Médica, Universidad Privada San Juan Bautista, Lima, Perú.ORCID 0000-0002-9132-4902
Liz C SenadorEscuela Profesional de Tecnología Médica, Universidad Privada San Juan Bautista, Lima, Perú.
Juan A FloresEscuela Profesional de Tecnología Médica, Universidad Privada San Juan Bautista, Lima, Perú.
Bernard N KanoiCentre for Research in Infectious Diseases, Mount Kenya University, Thika, Kenya.ORCID 0000-0003-2772-7579
Josephine F ReijneveldDivision of Experimental Medicine, University of California, San Francisco, CA, USA.
Angel RuvalcabaDivision of Experimental Medicine, University of California, San Francisco, CA, USA.ORCID 0009-0002-1043-8068
Danny PerezEscuela Profesional de Tecnología Médica, Universidad Privada San Juan Bautista, Lima, Perú.ORCID 0000-0001-7246-3176
Paul WaiganjoCentre for Respiratory Diseases Research, Kenya Medical Research Institute, Nairobi, Kenya.
Cecilia S Lindestam ArlehamnCenter for Vaccine Innovation, La Jolla Institute for Immunology, La Jolla, CA, USA.ORCID 0000-0001-7302-8002
Timothy J HenrichDivision of Experimental Medicine, University of California, San Francisco, CA, USA.
Michael J PelusoDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0585-6230
Segundo R LeonEscuela Profesional de Tecnología Médica, Universidad Privada San Juan Bautista, Lima, Perú.ORCID 0000-0002-5630-5714
Jesse GitakaCentre for Research in Infectious Diseases, Mount Kenya University, Thika, Kenya.ORCID 0000-0001-7516-522X
Sara SulimanDivision of Experimental Medicine, University of California, San Francisco, CA, USA.ORCID 0000-0002-5154-576X

Funding

Impact of SARS-CoV-2 infection on reactivation of latent Mtb infections in a Kenyan CohortR01AI169534 · NIAID · MOUNT KENYA UNIVERSITY · PI Jesse Gitaka · 2022 to 2026
$698k
NIAID NIH HHS R01 AI169534
6 · The paper itself

Abstract

Background: Long COVID (LC), also referred to as post-COVID condition, refers to new or worsening symptoms lasting more than three months after SARS-CoV-2 infection. The prevalence of LC, and the impact of co-infection with prevalent pathogens such as Methods: We recruited HIV-uninfected pulmonary tuberculosis (TB) patients (n=36) and their household contacts (n=63) in Peru, and healthcare workers (n=202) in Kenya. We collected clinical data using study instruments adapted from a United States based study of LC. Participants were sampled within 2 years of SARS-CoV-2 diagnosis. Results: In Peru, 41.4% participants reported LC symptoms, with no TB-associated significant differences in the prevalence or clinical phenotypes of LC. The most common LC symptoms were neurological (e.g., headache and trouble sleeping) and musculoskeletal (e.g., back pain). Kenyan participants reported acute, but no LC symptoms, and reported a decline in the quality of life during acute infection. In Peru, the post-COVID-19 period was associated with a significant decline in all quality-of-life dimensions (p<0.01), except depression and anxiety (p=0.289). Conclusion: This study shows that LC prevalence was high in Peru, where TB status was not linked to LC symptoms. Those with LC reported high levels of musculoskeletal and neurological symptoms. Unexpectedly, healthcare workers in Kenya denied the presence of LC symptoms. These findings highlight the need for long-term follow-up and larger studies in different geographic settings to dissect the impact of TB comorbidity on LC.

Indexed as

COVID-19Long COVIDpost-acute sequelae of SARS-CoV-2 infectionpost-COVID conditiontuberculosis

Identifiers

PMID40343014
PMCPMC12060951

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.