Evidence map›Paper›PMID 36962899›Full record

ArticlePLOS global public health2022

Social vulnerability during the COVID-19 pandemic in Peru.

Carlos Orlando Zegarra Zamalloa, Pavel J Contreras, Laura R Orellana, Pedro Antonio Riega Lopez, Shailendra Prasad, María Sofía Cuba Fuentes

Erratum issuedOpen access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Carlos Orlando Zegarra ZamalloaHarvard T H Chan School of Public Health, Harvard University, MA, United States of America.ORCID https://orcid.org/0000-0002-1929-6767
Pavel J ContrerasCentro de Investigación en Atención Primaria de Salud, Universidad Peruana Cayetano Heredia, Lima, Perú.ORCID https://orcid.org/0000-0002-7949-0393
Laura R OrellanaEmerge, Universidad Peruana Cayetano Heredia, Lima, Perú.
Pedro Antonio Riega LopezFacultad de Medicina, Universidad Nacional Mayor de San Marcos, Lima, Perú.
Shailendra PrasadCenter for Global Health and Social Responsibility, University of Minnesota, MN, United States of America.
María Sofía Cuba FuentesCentro de Investigación en Atención Primaria de Salud, Universidad Peruana Cayetano Heredia, Lima, Perú.
Universidad Peruana Cayetano Heredia · PEHarvard University · USNational University of San Marcos · PEUniversity of Minnesota · US

Funding

NPGH LEADERs YR12: OBSSR (Greenberg, Ngwafong Mukere) & NIBIB (Lee)D43TW009345 · FIC · UNIVERSITY OF WASHINGTON · PI Dibyadyuti Datta, Chandy C. John · 2017 to 2026
$15.2M
Program for Advanced ReseArch Capacities for AIDS in Peru (PARACAS): harnessing implementation science to enhance care and reduce transmission of HIVD43TW009763 · FIC · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI GOTUZZO, EDUARDO, ZUNT, JOSEPH RAYMOND · 2014 to 2024
$3.2M
FIC NIH HHS D43 TW009345FIC NIH HHS D43 TW009763
6 · The paper itself

Abstract

The COVID-19 pandemic has demanded governments and diverse organizations to work on strategies to prepare and help communities. Increasing recognition of the importance of identifying vulnerable populations has raised a demand for better tools. One of these tools is the Social Vulnerability Index (SVI). The SVI was created in 2011 to identify and plan assistance for socially vulnerable populations during hazardous events, by providing disaster management personnel information to target specific areas. We aimed to evaluate and determine the social vulnerability in different provinces and districts of Peru in the context of the COVID-19 pandemic using an adapted version of the SVI index. Ecological, observational, and cross-sectional study was conducted. We adapted the SVI and collected indicators related to COVID-19. We organized and analyzed the population data of the 196 provinces of Peru, using data from government institutions. We found a distribution of high and very high SVI in the mountainous areas of Peru. High and very high social vulnerability indexes, due to the presence of some or all the variables were predominantly distributed in the provinces located in the southern and highlands of the country. The association between mortality rate and social SVI-COVID19 was inverse, the higher the vulnerability, the lower the mortality. Our results identify that the provinces with high and very high vulnerability indexes are mostly located in rural areas nearby the Andes Mountains, not having a direct correlation with COVID-19 mortality.

Identifiers

PMID36962899
PMCPMC10021250
OpenAlexW4310578907

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read21
identifiers read10
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.