Evidence map›Paper›PMID 33887602›Full record

Observational studyAtencion primaria2021

[Proposal for territorial analysis to face the SARS-CoV-2 pandemic based on the Profile of pneumonia and Influenza in Ecuador 2016-2018].

Paulina Ríos Quituizaca, Lilian Calderón, Santiago Piedra, Jhon Guerrero, Alberto Narváez

Abstract readObservational Study
In one paragraph

Observational study in Atencion primaria, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Observational
  2. 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

5 authors.

Paulina Ríos QuituizacaUniversidad Central del Ecuador, Facultad de Ciencias Médicas, Quito, Ecuador; Universidad de Sao Paulo, Facultad de Medicina de Ribeirao Preto, Sao Paulo, Brasil. Electronic address: paulina.riosq@gmail.com.
Lilian CalderónUniversidad de Sao Paulo, Facultad de Medicina de Ribeirao Preto, Sao Paulo, Brasil.
Santiago PiedraHospital de Especialidades Carlos Andrade Marín. Quito, Ecuador.
Jhon GuerreroUniversidad Central del Ecuador, Facultad de Ciencias Médicas, Quito, Ecuador.
Alberto NarváezUniversidad Central del Ecuador, Facultad de Ciencias Médicas, Quito, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe present study seeks to analyse sociodemographic determinants related to severe acute respiratory infections (SARI) and calculate the priorization index in the cantons of Ecuador to identify areas probably most vulnerable to COVID-19 transmission.

designThis descriptive ecological observational study.

setting224 cantons (geographical area) of Ecuador with secondary data sources of hospital information.

participantsThe unit of measurement was 224 cantons of Ecuador, in which analysed morbidity and lethality rates for SARI using hospital release data (2016-2018). MAIN MEASUREMENTS: Eight sociodemographic indicators were structuralized, and correlation tests applied for a multiple regression model. The priorization index was created with criteria of efficiency, efficacy, effect size (IRR) and equity. Using the sum of the index for each indicator, the priorization score was calculated and localized in a territorial map.

resultsMorbidity associated factors where: school attendance years, urbanization and population density; for mortality resulted: school attendance and ethnics (indigenous) IRR: 1.09 (IC95%:1.06-1.15) and IRR: 1.024 (IC95%:102-1.03) respectively. With lethality where related cantons, with population older than 60 years, IRR: 1.049 (IC95%: 1.03-1.07); 87 cantons had high priority mostly localized in the mountain region and the Morona Santiago Province.

conclusionsMorbidity and mortality of SARI in Ecuador are associated to social and demographic factors. Priorization exercises considering these factors permit the identification of vulnerable territories facing respiratory disease propagation. The social determinants characteristic for each territory should be added to known individual factors to analyse the risk and vulnerability for COVID in the population.

Indexed as

Social Determinants of HealthAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCOVID-19EcuadorEnvironmentFemaleGeographic MappingHumansInfantInfant, NewbornInfluenza, HumanCOVID-19NeumoníaPandemiaPandemicsPblación vulnerablePneumoniaRiesgoRiskSARS virusvirus SARSVulnerable population

Identifiers

PMID33887602
PMCPMC7901493

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LicenceCC BY-NC-ND
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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.