Evidence map›Paper›PMID 33722207›Full record

ArticleBMC public health2021

A place-based analysis of COVID-19 risk factors in Bangladesh urban slums: a secondary analysis of World Bank microdata.

Shaikh Mehdi Hasan, Susmita Das, Syed Manzoor Ahmed Hanifi, Sohana Shafique, Sabrina Rasheed, Daniel D Reidpath

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Stepping into the Void: Lessons Learned from Civil Society Organizations during COVID-19 in Rio de Janeiro.International journal of environmental research and public health · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Human Development Index Is Associated with COVID-19 Case Fatality Rate in Brazil: An Ecological Study.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. Habitat vulnerability in slum areas of India - What we learnt from COVID-19?International journal of disaster risk reduction : IJDRR · 2021
    Article
  12. Article
  13. 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

6 authors at 1 institution in 1 country.

Shaikh Mehdi HasanInternational Centre for Diarrhoeal Disease Research, Bangladesh, Health System and Population Studies Division, Mohakhali, Dhaka, 1212, Bangladesh. smehdi@icddrb.org.ORCID 0000-0002-3455-7072
Susmita DasInternational Centre for Diarrhoeal Disease Research, Bangladesh, Health System and Population Studies Division, Mohakhali, Dhaka, 1212, Bangladesh.
Syed Manzoor Ahmed HanifiInternational Centre for Diarrhoeal Disease Research, Bangladesh, Health System and Population Studies Division, Mohakhali, Dhaka, 1212, Bangladesh.
Sohana ShafiqueInternational Centre for Diarrhoeal Disease Research, Bangladesh, Health System and Population Studies Division, Mohakhali, Dhaka, 1212, Bangladesh.
Sabrina RasheedInternational Centre for Diarrhoeal Disease Research, Bangladesh, Health System and Population Studies Division, Mohakhali, Dhaka, 1212, Bangladesh.
Daniel D ReidpathInternational Centre for Diarrhoeal Disease Research, Bangladesh, Health System and Population Studies Division, Mohakhali, Dhaka, 1212, Bangladesh.
International Centre for Diarrhoeal Disease Research · BD

Funding

Swedish International Development Cooperation Agency (SIDA) 54100089
6 · The paper itself

Abstract

backgroundThere is a lack of research investigating the confluence of risk factors in urban slums that may make them accelerators for respiratory, droplet infections like COVID-19. Our working hypothesis was that, even within slums, an inverse relationship existed between living density and access to shared or private WASH facilities.

methodsIn an exploratory, secondary analysis of World Bank, cross-sectional microdata from slums in Bangladesh we investigated the relationship between intra-household population density (crowding) and access to private or shared water sources and toilet facilities.

resultsThe analysis showed that most households were single-room dwellings (80.4%). Median crowding ranged from 0.55 m

conclusionThe findings highlight the practical constraints on implementing, in slums, the conventional COVID19 management approaches of social distancing, regular hand washing, and not sharing spaces. It has implications for the management of future respiratory epidemics.

Indexed as

CrowdingPoverty AreasBangladeshCOVID-19Cross-Sectional StudiesFamily CharacteristicsHumansHygieneRisk FactorsSanitationSARS-CoV-2Toilet FacilitiesUrban PopulationCOVID-19CrowdingUrban slumsWASH

Identifiers

PMID33722207
PMCPMC7957470
OpenAlexW3127032342

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.