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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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