Evidence map›Paper›PMID 42099690›Full record

ArticleNursing research and practice2026

Predictors of Long COVID-19 Syndrome and Hospital Admissions Among COVID-19-Diagnosed Adult Patients Who Self-Isolated at Home in KwaZulu-Natal Province, South Africa.

Moshibudi Poncho Phafane, Alone Isabirye, Poovendhree Reddy

Abstract read
In one paragraph

Article in Nursing research and practice, 2026. 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

3 authors.

Moshibudi Poncho PhafaneDivision of Public Health Surveillance and Response, National Institute for Communicable Diseases, Johannesburg, Gauteng, South Africa, nicd.ac.za.ORCID https://orcid.org/0009-0005-4495-8717
Alone IsabiryeDepartment of Community Health Studies, Durban University of Technology, Durban, KwaZulu-Natal, South Africa, dut.ac.za.ORCID https://orcid.org/0000-0003-3871-7632
Poovendhree ReddyDepartment of Community Health Studies, Durban University of Technology, Durban, KwaZulu-Natal, South Africa, dut.ac.za.ORCID https://orcid.org/0000-0003-0197-8951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long COVID-19 (LC) syndrome is a complex systemic illness that is currently recognised to have a high morbidity rate and hospitalisations. The study analysed factors linked to LC in adults self-isolated during COVID-19 infection in KwaZulu-Natal Province, South Africa, focusing on two densely populated districts (uMgungundlovu and eThekwini Metro Municipality). We employed a cross-sectional study among individuals aged 18 years and above who self-isolated at home. Demographic data, COVID-19 vaccination status, and post-COVID-19 health symptoms were collected using a standardised questionnaire. The National Health and Nutrition Survey's Physical Functioning Questionnaire was adapted to evaluate health and functional outcomes six months after a COVID-19 diagnosis, addressing both physical and psychosocial symptoms during that timeframe. A modified Poisson regression model was used to determine the predictors of LC and hospitalisation. Of the 280 participants, 46% (

Indexed as

hospitalisationmorbidityone healthpandemicspost-acute COVID-19 syndromereinfectionresource allocationSARS-CoV-2 variants

Identifiers

PMID42099690
PMCPMC13147213

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.