Explaining the COVID19 mortality growth rate: an empirical analysis of Israeli cities
Yuval Arbel, Yifat Arbel, Amichai Kerner, Miryam Kerner

TL;DR
This study examines factors affecting the mortality rate of COVID-19 in Israeli cities, finding that population size and age are most influential.
Contribution
The paper introduces a regression-based analysis of how city-level factors influence daily mortality growth rates during the pandemic.
Findings
Population size and median age are the most significant factors increasing mortality growth rates.
Socio-economic ranking and vaccination availability have the least impact on mortality growth rates.
Policies should prioritize larger cities with older populations to reduce mortality.
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an infectious virus, which has generated a global pandemic. Since December 20, 2020, Israel was one of the first countries to vaccinate its population. This study analyzes the weight of four covariates on a daily mortality growth rate from SARS-COV2 virus. These include population size, median age, a socio-economic ranking at a city level, a date variable and a dummy variable that equals 1 for post-vaccination and 0 for pre-vaccination era. Regression analysis, where each variable is converted to the standard normal distribution function. This methodology permits the estimation of variations in daily mortality growth rates, where all the covariates are given in comparable units of measurement (one standard deviation). Consequently, the coefficients of this regression have to be measured as absolute value weights.…
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Taxonomy
TopicsCOVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Global Health Care Issues
