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Record W4402954511 · doi:10.1093/hropen/hoae052

Birth rate decline in the later phase of the COVID-19 pandemic: the role of policy interventions, vaccination programmes, and economic uncertainty

2024· article· en· W4402954511 on OpenAlexaboutno aff
Maria Winkler‐Dworak, Kryštof Zeman, Tomáš Sobotka

Bibliographic record

VenueHuman Reproduction Open · 2024
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsnot available
FundersÖsterreichischen Akademie der Wissenschaften
KeywordsPandemicCoronavirus disease 2019 (COVID-19)VaccinationPsychological intervention2019-20 coronavirus outbreakVirologyMedicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Political scienceEconomic growthDevelopment economicsEconomicsNursing

Abstract

fetched live from OpenAlex

Abstract STUDY QUESTION What are the factors influencing the decline in the birth rates observed in higher-income countries in the later phase of the COVID-19 pandemic? SUMMARY ANSWER Our results suggest that economic uncertainty, non-pharmaceutical policy interventions, and the first wave of the population-wide vaccination campaign were associated with the decline in birth rates during 2022. WHAT IS KNOWN ALREADY During the COVID-19 pandemic, birth rates in most higher-income countries first briefly declined and then shortly recovered, showing no common trends afterwards until early 2022, when they unexpectedly dropped. STUDY DESIGN, SIZE, DURATION This study uses population-wide data on monthly total fertility rates (TFRs) adjusted for seasonality and calendar effects provided in the Human Fertility Database (HFD). Births taking place between November 2020 and October 2022 correspond to conceptions occurring between February 2020 and January 2022, i.e. after the onset of the pandemic but prior to the Russian invasion of Ukraine. The data cover 26 countries, including 21 countries in Europe, the USA, Canada, Israel, Japan, and the Republic of Korea. PARTICIPANTS/MATERIALS, SETTING, METHODS First, we provided a descriptive analysis of the monthly changes in the TFR. Second, we employed linear fixed effects regression models to estimate the association of explanatory factors with the observed seasonally adjusted TFRs. Our analysis considered three broader sets of explanatory factors: economic uncertainty, policy interventions restricting mobility and social activities outside the home, and the progression of vaccination programmes. MAIN RESULTS AND THE ROLE OF CHANCE We found that birth trends during the COVID-19 pandemic were associated with economic uncertainty, as measured by increased inflation (P < 0.001), whereas unemployment did not show any link to births during the pandemic (P = 0.677). The stringency of pandemic policy interventions was linked to a postponement of births, but only in countries with lower institutional trust and only in the early phase of the pandemic (P = 0.003). In countries with higher trust, stricter containment measures were positively associated with birth rates, both for conceptions in the first year of the pandemic (P = 0.019) and, albeit only weakly significant, for conceptions later in the pandemic (P = 0.057). Furthermore, we found a negative association between the share of the population having received the first dose of the COVID-19 vaccination and TFRs (P < 0.001), whereas the share of the population having completed the primary vaccination course (usually consisting of two doses) was linked to a recovery of birth rates (P < 0.001). LARGE SCALE DATA N/A. LIMITATIONS, REASONS FOR CAUTION Our research is restricted to higher-income countries with relatively strong social support policies provided by the government as well as wide access to modern contraception. Our data did not allow analyses of birth trends by key characteristics, such as age, birth order, and social status. WIDER IMPLICATIONS OF THE FINDINGS This is the first multi-country study of the drivers of birth trends in the later phase of the COVID-19 pandemic. In the past, periods following epidemics and health crises were typically associated with a recovery in births. In contrast, our results show that the gradual phasing out of pandemic containment measures, allowing increased mobility and a return to more normal work and social life, contributed to declining birth rates in some countries. In addition, our analysis indicates that some women avoided pregnancy until completion of the primary vaccination protocol. STUDY FUNDING/COMPETING INTEREST(S) This study did not use any external funding. The authors acknowledge funding from their home institution, the Vienna Institute of Demography of the Austrian Academy of Sciences, and from the Open-Access Fund of the Austrian Academy of Sciences. For the purpose of open access, the authors have applied a CC BY public copyright licence to any Author Accepted Manuscript versions arising from this submission. All authors declare that they have no conflicts of interest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.108
GPT teacher head0.464
Teacher spread0.355 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations21
Published2024
Admission routes1
Has abstractyes

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