Evidence map›Paper›PMID 35027023›Full record

ArticleBMC public health2022

Unintended socio-economic and health consequences of COVID-19 among slum dwellers in Kampala, Uganda.

Rebecca Nuwematsiko, Maxencia Nabiryo, John Bosco Bomboka, Sarah Nalinya, David Musoke, Daniel Okello, Rhoda K Wanyenze

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
–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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. The impact of the COVID-19 lockdown on social and economic welfare in Uganda.Archives of public health = Archives belges de sante publique · 2024
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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

7 authors.

Rebecca NuwematsikoDepartment of Disease Control and Environmental Health, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda. rnuwematsiko@musph.ac.ug.
Maxencia NabiryoDepartment of Disease Control and Environmental Health, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
John Bosco BombokaDepartment of Disease Control and Environmental Health, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
Sarah NalinyaDepartment of Disease Control and Environmental Health, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
David MusokeDepartment of Disease Control and Environmental Health, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
Daniel OkelloKampala Capital City Authority, Kampala, Uganda.
Rhoda K WanyenzeDepartment of Disease Control and Environmental Health, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo reduce the spread of COVID-19, several countries in Africa instituted countrywide lockdowns and other public health measures. Whereas lockdowns contributed to the control of the pandemic, there were concerns about the unintended consequences of these measures especially in the most vulnerable populations. We assessed unintended socio-economic and health consequences due to the COVID-19 pandemic and the mitigation measures among slum dwellers in Kampala to inform the on-going and future pandemic response strategies.

methodsThis was a mixed methods cross-sectional study conducted in Bwaise I and Bwaise III slums of Kawempe division, Kampala Uganda from October to December 2020. We used systematic sampling to randomly select 425 household heads for the face-to-face quantitative interviews. We also conducted six focus group discussions (FGDs) with slum dwellers and used photovoice among eight Community Health Workers (CHWs) to document unintended socio-economic and health consequences. Quantitative data were imported into STATA version 14.0 for analysis, while qualitative data were analysed thematically using NVivo version 12. Modified Poisson regression analysis was conducted to establish factors associated with impact on access to food.

resultsMost respondents reported limited access to food (71.1%; 302/425); disruption in education (77.1%; 270/350); drop in daily income and wages (86.1%; 329/382) and loss of employment (63.1; 125/198). Twenty five percent of the respondents (25.4%; 86/338) reported domestic violence as one of the challenges. Seven themes emerged from the qualitative findings on the impact of COVID-19 including: limited access to food; negative impact on children's rights (child labour and teenage pregnancies) and education; poor housing and lack of accommodation; negative social behaviours; negative impact on family and child care; reduced income and employment; and negative impact on health and access to health care services.

conclusionThe slum dwellers of Bwaise I and Bwaise III experienced several negative socio-economic and health consequences of COVID-19 and its prevention measures that severely affected their wellbeing. Children experienced severe consequences such as child labour and teenage pregnancies among the girls. Response activities should be contextualised to different settings and protocols to protect the vulnerable groups in the community such as children and women should be developed and mainstreamed in response activities.

Indexed as

COVID-19Poverty AreasAdolescentCommunicable Disease ControlCross-Sectional StudiesFemaleHumansPandemicsPregnancySARS-CoV-2UgandaCOVID-19PhotovoiceSlum dwellersUnintended consequences

Identifiers

PMID35027023
PMCPMC8757926

What OpenQuestion 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 OpenQuestion graph.