2023
DOI: 10.1080/00324728.2023.2192041
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Did the 1918 influenza pandemic cause a 1920 baby boom? Demographic evidence from neutral Europe

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Cited by 5 publications
(4 citation statements)
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“…Looking back at past pandemics, we can also confirm the temporary decline in births in Switzerland in mid-1919, around nine months after the most severe phase of the “Spanish flu” in Fall and Winter 1918, as in other countries (Bloom-Feshbach et al, 2011; Pomar et al, 2020). This was followed by an increase in births in 1920, although the effects of the end of the war and the end of the pandemic can hardly be separated, even in countries not directly involved in the war (Gaddy & Ingholt, 2023; S.-E. Mamelund, 2012). We also add to the literature by showing that in Switzerland the “Russian flu” in 1890, the strong “Spanish flu” later wave in 1920 and the “Asian flu” in 1957 also led to a short-term drop in births around nine months after the pan-demic peaks.…”
Section: Discussionmentioning
confidence: 99%
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“…Looking back at past pandemics, we can also confirm the temporary decline in births in Switzerland in mid-1919, around nine months after the most severe phase of the “Spanish flu” in Fall and Winter 1918, as in other countries (Bloom-Feshbach et al, 2011; Pomar et al, 2020). This was followed by an increase in births in 1920, although the effects of the end of the war and the end of the pandemic can hardly be separated, even in countries not directly involved in the war (Gaddy & Ingholt, 2023; S.-E. Mamelund, 2012). We also add to the literature by showing that in Switzerland the “Russian flu” in 1890, the strong “Spanish flu” later wave in 1920 and the “Asian flu” in 1957 also led to a short-term drop in births around nine months after the pan-demic peaks.…”
Section: Discussionmentioning
confidence: 99%
“…Most of the evidence on historical pandemics comes from research on the 1918-1920 influenza pandemic (“Spanish flu”), when births declined 9 months after the pandemic peak in Scandinavia (Bloom-Feshbach et al, 2011; Svenn-Erik Mamelund, 2004; Pomar et al, 2020), Britain (Chandra et al, 2018; Chandra & Yu, 2015; Reid, 2005), Japan (Chandra & Yu, 2015), and the United States (Bloom-Feshbach et al, 2011; Chandra et al, 2018). However, some of these aspects are currently being debated in the literature, for example whether the 1918-1920 pandemic or the end of the First World War is more likely to be associated with these changes in birthrates (Gaddy & Ingholt, 2023; S.-E. Mamelund, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Contrary to the popular belief that fertility increases after a disaster, a recently published systematic review reported an overall negative shortterm effect of disasters on fertility [13]. Over the slightly longer term, Mamelund found that fertility increased in Scandinavia, following an initial decrease immediately after the pandemic [14], although this phenomenon has been attributed to the aftermath of the First World War rather than the waning of the pandemic [15]. This study utilizes data from the city of Madras (presently Chennai) in India to determine (i) whether there is a link between pandemic-associated excess deaths and subsequent births and (ii) to evaluate the length of the time lag between changes in excess deaths and future births.…”
Section: Introductionmentioning
confidence: 86%
“…Health economists study how fetal shocks cause adverse effects on birth cohorts' health (Almond & Currie, 2011), and they could use survivorship memory models to consider how any number of consecutive fetal shocks persist in populations over time. Demographers may be similarly interested in using memory models to estimate the psychological effects of disasters on fertility (Nobles et al, 2015;Gaddy & Mølbak Ingholt, 2023). By modeling the memory of environmental hazards, researchers could also put quantitative bounds on medical anthropologists' concepts of populations that are constituted by shared exposure to toxic hazards, sometimes called "chemical kin" or "biological citizens" (see Dow & Lamoreaux, 2020).…”
Section: Interdisciplinary Uses Of Demographic Memorymentioning
confidence: 99%