Evidence map›Paper›PMID 35133044›Full record

ArticleHealth & social care in the community2022

Exploring factors enabling the spread of COVID-19: Narratives of health professionals in Harare, Zimbabwe.

Nyashanu Mathew, Chireshe Rumbidzai, Mushawa Fungisai

Abstract read
In one paragraph

Article in Health & social care in the community, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

3 authors.

Nyashanu MathewPublic Health Nottingham Trent University, Nottingham, UK.
Chireshe RumbidzaiDepartment of Nursing and Public Health, Kwazulu Natal University, Durban, South Africa.
Mushawa FungisaiDepartment of Health and Social Work, Nottingham Trent University, Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low- and middle-income countries (LMICs) are affected by an array of health problems ranging from the weak infrastructure health system to the shortage of equipment and qualified personnel in hospitals and other medical facilities. This makes it difficult for health systems in these countries to withstand pandemics like COVID-19 leading to a rapid infection of the population. This research study was set to explore the factors enabling the spread of COVID-19 in the city of Harare. The study utilised an explorative qualitative approach (EQA). The study recruited 40 (N = 40) health professionals who worked for the private sector and the Ministry of Health. One to one semistructured interviews were used to collect data. The data were thematically analysed and presented. Ethical approval was granted by the Joint Research Council of Zimbabwe (JREC). The study found that the shortage of personal protective equipment (PPE), disregard for social distancing, lack of running water, shortage of clinical supplies, overcrowded living houses, selective enforcement of restrictions and corruption were factors that enabled the spread of COVID-19 pandemic in the city of Harare. There is need for more hospitals to be built and fully equipped with the necessary equipment if health delivery and management of people affected by COVID-19 is to be improved. More importantly, the health system needs to be supported by a robust health promotion initiative to enlighten communities on pandemics like COVID-19 and the need to observe utmost hygiene in all spaces.

Indexed as

COVID-19Health PersonnelHumansPandemicsPersonal Protective EquipmentSARS-CoV-2ZimbabweawarenessCOVID-19health professionalspersonal protective equipmentpneumonia

Identifiers

PMID35133044
PMCPMC9111785

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.