Evidence map›Paper›PMID 40900702›Full record

ArticleFrontiers in public health2025

The impact of public health shocks on fertility intentions: evidence from the COVID-19 pandemic in China.

Yiting Guo, Yuqi Mou, Yan Peng, Chen Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yiting Guo *Economics and Management School, Wuhan University, Wuhan, China.
Yuqi Mou *Economics and Management School, Wuhan University, Wuhan, China.
Yan Peng *The Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, China.
Chen Zhang *School of Economics and Management, Huangshan University, Huangshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: China's persistent fertility decline poses serious long-term demographic and socioeconomic challenges. The COVID-19 pandemic has introduced additional uncertainty, raising questions about how external shocks affect fertility intentions in real time. Objective: This study examines the causal impact of localized COVID-19 shocks on fertility intentions in China, as measured by high-frequency digital search data that capture real-time behavioral shifts. Methods: We construct a monthly city-level fertility index based on Baidu search volumes for pregnancy-related keywords across 222 cities (2019-2022). COVID-19 exposure is measured using sustained "high-risk" status over 14 consecutive days. A staggered difference-in-differences design is employed, with robustness checks including imputation-based estimators, event-study analysis, and heterogeneity analysis by city characteristics. Results: COVID-19 shocks led to a significant 5.4% decline ( Conclusion: Fertility intentions respond sharply to pandemic-related uncertainty, especially under pressure from economic and institutional constraints. The findings underscore the fragility of reproductive intentions under uncertainty and highlight the importance of tailoring fertility policy to local socioeconomic environments.

Indexed as

COVID-19FertilityIntentionPublic HealthAdultChinaFemaleHumansPandemicsPregnancySARS-CoV-2COVID-19difference-in-differencesfertility intentionsinternet search index datapublic health shocks

Identifiers

PMID40900702
PMCPMC12399519

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.