Evidence map›Paper›PMID 39934986›Full record

ReviewThe International journal of health planning and management2025

Impact of Coronavirus Disease 2019 on Fertility: An Integrative Review.

Wakaha Ikeda, Yuka Yamazaki, Yutaka Inaba

Abstract readReview
In one paragraph

Review in The International journal of health planning and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Wakaha IkedaDepartment of Public Health, Occupational Medicine, and Applied Epidemiology, Graduate School of Medicine, Mie University, Tsu City, Japan.ORCID 0009-0003-3866-1349
Yuka YamazakiDepartment of Medical Education, Tokyo Medical University, Shinjuku-ku, Tokyo, Japan.ORCID 0000-0001-9147-0291
Yutaka InabaDepartment of Epidemiology and Environmental Health, Graduate School of Medicine, Juntendo University, Bunkyo-ku, Tokyo, Japan.

Funding

JSPS KAKENHI JP 22K02378
6 · The paper itself

Abstract

This integrative review aimed to explore the impact of the spread of coronavirus disease 2019 (COVID-19) on fertility to establish foundational knowledge and guide future epidemiological studies. The PubMed and Central Journal of Medicine databases were searched, yielding 80 relevant articles published between 2019 and 2021. Of these, 14 were published in Japanese and 66 in English. None of the Japanese studies met the inclusion criteria. Fourteen English-language studies, all of which were retrieved from PubMed, were included in the final analysis. No relevant literature was found in the Central Journal of Medicine. The keywords used were COVID-19, fertility, and demographics. COVID-19 led to an increase in unplanned pregnancies and abortions in developing countries. Fever associated with the infection was suggested to have reduced sperm concentration and motility, and the spread of the infection caused young couples to delay childbearing, potentially decreasing fertility. Conversely, relatively older couples showed fewer changes in their childbearing plans, indicating that COVID-19 had both positive and negative effects on fertility. Physical, psychological, and economic factors as well as sex, age, and cultural background exerted complex effects on fertility. Herein, the impact of social crises on fertility rates has been discussed in the context of the recent COVID-19 pandemic. Analysing the effects of this pandemic on fertility rates is crucial for understanding future demographic trends and national strengths. This study provides valuable data for future research in this field.

Indexed as

COVID-19FertilityFemaleHumansMalePregnancySARS-CoV-2COVID‐19demographyfertilityintegrative review

Identifiers

PMID39934986
PMCPMC12045757

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.