2022
DOI: 10.1007/978-3-031-05668-0_3
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Unequal Mortality During the Spanish Flu

Abstract: The outburst of deaths and cases of Covid-19 around the world has renewed the interest to understand the mortality effects of pandemics across regions, occupations, age and gender. The Spanish Flu is the closest pandemic to Covid-19. Mortality rates in Spain were among the largest in today's developed countries. Our research documents a substantial heterogeneity on mortality rates across occupations. The highest mortality was on low-income workers. We also record a rural mortality penalty that reversed the his… Show more

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Cited by 5 publications
(3 citation statements)
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“…The education results are in line with those of Chul Hong and Yun, who used data from the 1960 Korean Census to find that foetal exposure to the pandemic (the 1910–20 birth cohort) resulted in lower educational attainment as measured by years of schooling and literacy, especially in provinces that suffered intensively. Basco et al. note the heterogeneous impacts of the pandemic in Spain where low‐income workers experienced the highest mortality, and hypothesise that climatic differences may have influenced regional patterns in contagion.…”
Section: Literaturementioning
confidence: 99%
“…The education results are in line with those of Chul Hong and Yun, who used data from the 1960 Korean Census to find that foetal exposure to the pandemic (the 1910–20 birth cohort) resulted in lower educational attainment as measured by years of schooling and literacy, especially in provinces that suffered intensively. Basco et al. note the heterogeneous impacts of the pandemic in Spain where low‐income workers experienced the highest mortality, and hypothesise that climatic differences may have influenced regional patterns in contagion.…”
Section: Literaturementioning
confidence: 99%
“…Island populations, even small ones, experienced influenza death rates that were not homogenous across the island; on the Pacific islands, Indigenous populations experienced higher mortality rates relative to the smaller non-Indigenous residents [29,30]. There was also variation in spatial/geographical expression of mortality, and in particular with regards to rurality as a protective factor (for rurality having lower rates than urban areas, in other words, 'the urban penalty,' see: [26,31], and for rurality as not offering protection, 'the rural penalty,' see [32,33]), as well as heterogeneity in wave patterns, and in timing of the pandemic [29]. Explanations for regional heterogeneity of 1918/19 influenza patterns have focused on socio-geographic factors such as population size, population density, malnutrition, poverty, and overcrowded living environments, as well as sociopolitical factors [26,[34][35][36].…”
Section: Introductionmentioning
confidence: 99%
“…6 Basco et al (2021) use Spanish occupation level data and associated income to show a negative association between income and pandemic mortality rates. Furthermore, Clay et al (2018) control for the manufacturing payroll per worker in 1900, but the results for this estimator are not reported.…”
Section: Introductionmentioning
confidence: 99%