AI Article Synopsis
- The study aimed to examine how local factors like infection rates, hospitalizations, socio-economic status, and nursing homes affected death rates from SARS-CoV-2 in Bavaria.* -
- Researchers analyzed official data from March 2020 to April 2021 for different age groups and used a Bayesian model to create maps of mortality rates.* -
- Findings revealed that death rates varied significantly across regions, particularly increasing towards the northeast, and were mostly influenced by regional infection rates, with other factors having a less distinct impact.*
Article Abstract
Objective: The aim of this study was to investigate the influence of regional factors such as incidence rate, hospitalizations, socio-economic status and nursing homes on the regional and temporal heterogeneity of SARS-CoV-2-associated mortality in Bavaria.
Methodology: Official Bavarian SARS-CoV-2 reporting data were considered for three age groups (50-64, 65-74,>74 years) between March 2020 and April 2021. Maps of regional standardized mortality rates were spatially smoothed using a Bayesian hierarchical model.
Results: The picture of regional mortality was heterogeneous with an increasing gradient toward the northeast. Adjustment for standardized incidence rates, hospitalizations of infected persons, and availability of care homes for the elderly levelled the heterogeneity.
Conclusion: The north-east gradient in Bavarian SARS-CoV-2-specific mortality rates is clearly explained by the comparable gradient in regional incidence rates. Other regional factors show a less clear influence.
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| http://dx.doi.org/10.1055/a-1714-8184 | DOI Listing |
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