Evidence map›Paper›PMID 34095809›Full record

ArticleProgress in disaster science2021

COVID-19 in India: Who are we leaving behind?

Emmanuel Raju, Anwesha Dutta, Sonja Ayeb-Karlsson

Abstract read
In one paragraph

Article in Progress in disaster science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Seroprevalence of IgG antibodies against SARS-CoV-2 in India, March 2020 to August 2021: a systematic review and meta-analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Smart Cities Mission in the Face of COVID: Scope and Scale of 'Smart' COVID Responses in India.International journal of environmental research and public health · 2023
    Article
  7. The making of India's COVID-19 disaster: A Disaster Risk Management (DRM) Assemblage analysis.International journal of disaster risk reduction : IJDRR · 2023
    Review
  8. Review
  9. Article
  10. Article
  11. Climate change can be seen through a disaster medicine lens.The Medical journal of Australia · 2022
    Article
  12. Review
  13. Article
  14. 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.

Emmanuel RajuGlobal Health Section, Department of Public Health & Copenhagen Centre for Disaster Research, University of Copenhagen, CSS, Øster Farimagsgade 5, 1014 København K, Denmark.
Anwesha DuttaChristian Michelsen Institute (CMI), P.O.Box 6033, N-5892 Bergen, Norway.
Sonja Ayeb-KarlssonUniversity of Sussex, School of Global Studies, Arts Road Building C, Falmer Brighton, BN1 9SJ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has uncovered and intensified existing societal inequalities. People on the move and residents of urban slums and informal settlements are among some of the most affected groups in the Global South. Given the current living conditions of migrants, the WHO guidelines on how to prevent COVID-19 (such as handwashing, physical distancing and working from home) are challenging to nearly impossible in informal settlements. We use the case of India to highlight the challenges of migrants and urban slum dwellers during the COVID-19 response, and to provide human rights-based recommendations for immediate action to safeguard these vulnerable populations.

Indexed as

COVID-19Human rightsIndiaInformal settlementsMigrantsPublic healthSlum wellbeingVulnerability

Identifiers

PMID34095809
PMCPMC7989097

What OpenQuestion holds

Textmetadata
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.