Evidence map›Paper›PMID 34199070›Full record

ArticleInternational journal of environmental research and public health2021

COVID-19 Mortality Rate and Its Incidence in Latin America: Dependence on Demographic and Economic Variables.

Javier Cifuentes-Faura

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
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  11. [Evaluation of COVID-19 vaccination programs in South America].Ethic@ : an international journal for moral philosophy = Revista internacional de filosofia da moral · 2023
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  12. Pandemic justice for and from Latin America.Ethic@ : an international journal for moral philosophy = Revista internacional de filosofia da moral · 2023
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  17. Socio-cultural Correlates of the COVID-19 Outcomes.Journal of epidemiology and global health · 2022
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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

1 author.

Javier Cifuentes-FauraDepartment of Financial Economics and Accounting, Faculty of Economics and Business, University of Murcia, 30100 Murcia, Spain.ORCID 0000-0001-6763-8525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic caused by COVID-19 has left millions infected and dead around the world, with Latin America being one of the most affected areas. In this work, we have sought to determine, by means of a multiple regression analysis and a study of correlations, the influence of population density, life expectancy, and proportion of the population in vulnerable employment, together with GDP per capita, on the mortality rate due to COVID-19 in Latin American countries. The results indicated that countries with higher population density had lower numbers of deaths. Population in vulnerable employment and GDP showed a positive influence, while life expectancy did not appear to significantly affect the number of COVID-19 deaths. In addition, the influence of these variables on the number of confirmed cases of COVID-19 was analyzed. It can be concluded that the lack of resources can be a major burden for the vulnerable population in combating COVID-19 and that population density can ensure better designed institutions and quality infrastructure to achieve social distancing and, together with effective measures, lower death rates.

Indexed as

COVID-19Developing CountriesHumansIncidenceLatin AmericaMortalityPopulation DynamicsSARS-CoV-2Socioeconomic FactorsCOVID-19death ratelife expectancypopulation densityvulnerable employment

Identifiers

PMID34199070
PMCPMC8297293

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Registered trials

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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.