Contribution of age-related effects to differences in crude fatality ratios due to COVID-19 in two Argentine provinces between March and August 2020

Abstract Background: The ongoing COVID-19 pandemic has affected Argentina with uneven intensity. The force of the mortality attributed to COVID-19 may vary across populations by age structure, which has to be considered when analyzing the impact of the pandemic. Objective: This paper presents net estimations of case fatality ratio (CFR) attributed to COVID-19 for two provinces in Argentina (Jujuy and Buenos Aires), using public data provided by the Argentine Ministry of Health. Method: After some sensitivity analyses, we opted to make a comparison between two given jurisdictions, Buenos Aires and Jujuy, by applying the Kitagawa decomposition procedure, separating rate ("net" fatality) and structure components (age-attributable effects) from CFR estimations in those provinces along standardized rates. Results: After the decomposition we observed that, while overall CFR differences between provinces are slight on average, the magnitude of structure and rate effects tends to go into different directions across age groups, indicating more premature mortality in Jujuy due to COVID-19. Conclusions: While comparing the CFR across populations may be a difficult task, we found a great deal of heterogeneity that exists across age groups when comparing two given fatality ratios.

Authors

Institutions

Publication Details

Journal
Cadernos Saúde Coletiva
Published
2025-01-01
DOI
https://doi.org/10.1590/1414-462x202433010582
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Contribution of age-related effects to differences in crude fatality ratios due to COVID-19 in two Argentine provinces between March and August 2020

Octavio Bramajo, María Florencia Bathory
1 citations
Cadernos Saúde Coletiva
COVID-19 epidemiological studies
1.37
article

Contribution of age-related effects to differences in crude fatality ratios due to COVID-19 in two Argentine provinces between March and August 2020

Octavio Bramajo, María Florencia Bathory
article en
1 citations

Abstract

Abstract Background: The ongoing COVID-19 pandemic has affected Argentina with uneven intensity. The force of the mortality attributed to COVID-19 may vary across populations by age structure, which has to be considered when analyzing the impact of the pandemic. Objective: This paper presents net estimations of case fatality ratio (CFR) attributed to COVID-19 for two provinces in Argentina (Jujuy and Buenos Aires), using public data provided by the Argentine Ministry of Health. Method: After some sensitivity analyses, we opted to make a comparison between two given jurisdictions, Buenos Aires and Jujuy, by applying the Kitagawa decomposition procedure, separating rate ("net" fatality) and structure components (age-attributable effects) from CFR estimations in those provinces along standardized rates. Results: After the decomposition we observed that, while overall CFR differences between provinces are slight on average, the magnitude of structure and rate effects tends to go into different directions across age groups, indicating more premature mortality in Jujuy due to COVID-19. Conclusions: While comparing the CFR across populations may be a difficult task, we found a great deal of heterogeneity that exists across age groups when comparing two given fatality ratios.

Cadernos Saúde ColetivaVol. 33(1)
Institut national d'études démographiques (FR)
Openalex Percentile: Top 23%
COVID-19 epidemiological studies
1.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.