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Your search keyword '"Myrskylä, Mikko"' showing total 683 results
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12. A demographic scaling model for estimating the total number of COVID-19 infections

Author

Bohk-Ewald, Christina, Dudel, Christian, and Myrskylä, Mikko

Subjects
Quantitative Biology - Populations and Evolution
Abstract

Understanding how widely COVID-19 has spread is critical for examining the pandemic's progression. Despite efforts to carefully monitor the pandemic, the number of confirmed cases may underestimate the total number of infections. We introduce a demographic scaling model to estimate COVID-19 infections using an broadly applicable approach that is based on minimal data requirements: COVID-19 related deaths, infection fatality rates (IFRs), and life tables. As many countries lack reliable estimates of age-specific IFRs, we scale IFRs between countries using remaining life expectancy as a marker to account for differences in age structures, health conditions, and medical services. Across 10 countries with most COVID-19 deaths as of May 13, 2020, the number of infections is estimated to be four [95% prediction interval: 2-11] times higher than the number of confirmed cases. Cross-country variation is high. The estimated number of infections is 1.4 million (six times the number of confirmed cases) for Italy; 3.1 million (2.2 times the number of confirmed cases) for the U.S.; and 1.8 times the number of confirmed cases for Germany, where testing has been comparatively extensive. Our prevalence estimates, however, are markedly lower than most others based on local seroprevalence studies. We introduce formulas for quantifying the bias that is required in our data on deaths in order to reproduce estimates published elsewhere. This bias analysis shows that either COVID-19 deaths are severely underestimated, by a factor of two or more; or alternatively, the seroprevalence based results are overestimates and not representative for the total population.

Published
2020

37. Educational field, economic uncertainty, and fertility decline in Finland in 2010–2019.

Author

Hellstrand, Julia, Nisén, Jessica, and Myrskylä, Mikko

Subjects
EDUCATIONAL attainment, FERTILITY decline, TOTAL fertility rate (Humans), HETEROGENEITY, WOMEN
Abstract

Fertility declined sharply and unexpectedly in Finland in the 2010s across educational levels. Using Finnish register data, we calculated total fertility rates (TFRs) and the proportion of women expected to have a first birth in 2010–2019 for 153 educational groups—reflecting field and level—and estimated how the characteristics of a group predicted its decline. As the educational field predicts factors related to economic uncertainty, heterogeneity in fertility decline across fields could shed light on the role of economic uncertainty behind the recent fertility decline. In general, women with the highest initial fertility levels (health, welfare, and education) and women in agriculture experienced weaker fertility declines (around −20% or less), while women with the lowest initial levels (ICT, arts and humanities) experienced stronger declines (around −40% or more). The extent of the fertility decline increased with higher unemployment and lower income levels in the field and with a lower share employed in the public sector. These uncertainty measures together explained one-fourth of the decline in TFR and two-fifths of the decline in first births. The results imply that fertility declined across all groups, but those with stable job prospects escaped very strong declines. Objective economic uncertainty is one aspect that mattered for the recent fertility decline. [ABSTRACT FROM AUTHOR]

Published
2024
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