Evidence map›Paper›PMID 32877347›Full record

ArticleJMIR public health and surveillance2020

COVID-19 and Slums: A Pandemic Highlights Gaps in Knowledge About Urban Poverty.

John Friesen, Peter F Pelz

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
33.9field-weighted citation impact, top 1% of its field
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

16 citing papers in PubMed, 47 citations in OpenAlex.

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  15. Habitat vulnerability in slum areas of India - What we learnt from COVID-19?International journal of disaster risk reduction : IJDRR · 2021
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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

2 authors at 1 institution in 1 country.

John FriesenChair of Fluid Systems, Technical University of Darmstadt, Darmstadt, Germany.ORCID 0000-0003-2530-1363
Peter F PelzChair of Fluid Systems, Technical University of Darmstadt, Darmstadt, Germany.ORCID 0000-0002-0195-627X
Technische Universität Darmstadt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the United Nations, about 1 billion persons live in so-called slums. Numerous studies have shown that this population is particularly vulnerable to infectious diseases. The current COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, emphatically underlines this problem. The often high-density living quarters coupled with a large number of persons per dwelling and the lack of adequate sanitation are reasons why measures to contain the pandemic only work to a limited extent in slums. Furthermore, assignment to risk groups for severe courses of COVID-19 caused by noncommunicable diseases (eg, cardiovascular diseases) is not possible due to inadequate data availability. Information on people living in slums and their health status is either unavailable or only exists for specific regions (eg, Nairobi). We argue that one of the greatest problems with regard to the COVID-19 pandemic in the context of slums in the Global South is the lack of data on the number of people, their living conditions, and their health status.

Indexed as

PandemicsPoverty AreasCoronavirus InfectionsCOVID-19HumansPneumonia, ViralPovertyUrban PopulationCOVID-19, pandemichealth informationinfectious diseaseinformal settlementslifestyleliving conditionsriskrisk groupslums

Identifiers

PMID32877347
PMCPMC7486000
OpenAlexW3044240819

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.