Evidence map›Paper›PMID 39837539›Full record

ArticleThe journal of obstetrics and gynaecology research2025

Birth and pregnancy numbers decreased during the COVID-19 pandemic in Japan: A time series analysis with the ARIMA model.

Keiko Yamamoto, Koji Uchiyama, Yoshiko Abe, Nobuko Takaoka, Yasuo Haruyama, Gen Kobashi

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Article in The journal of obstetrics and gynaecology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Keiko YamamotoDepartment of Public Health, Dokkyo Medical University, School of Medicine, Tochigi, Japan.ORCID https://orcid.org/0009-0000-9391-9208
Koji UchiyamaDepartment of Public Health, Dokkyo Medical University, School of Medicine, Tochigi, Japan.
Yoshiko AbeDepartment of Public Health, Dokkyo Medical University, School of Medicine, Tochigi, Japan.
Nobuko TakaokaDepartment of Public Health, Dokkyo Medical University, School of Medicine, Tochigi, Japan.
Yasuo HaruyamaIntegrated Research Faculty for Advanced Medical Sciences, Dokkyo Medical University, Tochigi, Japan.
Gen KobashiDepartment of Public Health, Dokkyo Medical University, School of Medicine, Tochigi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe long-term effects of the COVID-19 pandemic on birth and pregnancy trends in Japan remain unclear. Although major sporting events are usually followed by an increase in births 9 months later, Japan's fifth wave of COVID-19 occurred during the Olympics held in Japan during the summer of 2021. In this study, we analyzed how the number of births and pregnancies changed during the COVID-19 pandemic and large-scale events in Japan.

methodsWe utilized monthly vital statistical data from birth certificates spanning the years 2010 to 2022. Our analysis followed the identification, estimation, and forecasting stages of autoregressive integrated moving average (ARIMA) modeling. We found the ARIMA (1, 12, 12) model to be adequate for forecasting the monthly number of births.

resultsComparing actual birth data from 2020 to 2022 with our forecast, we observed a significant decrease in births across all of Japan, urban residential areas, and 13 prefectures-primarily metropolitan regions-in January 2021 and May 2022. We also observed a decrease in pregnancy notifications in May 2020, May 2021, and October 2021. The decrease in births in May 2022 in Japan aligns with the decrease in pregnancy notifications 8 months earlier in October 2021.

conclusionsAlthough major sporting events are expected to lead to an increase in the number of births approximately 9 months later, the number of births decreased in May 2022 during the fifth wave of the COVID-19 pandemic in Japan. These findings suggest that the number of pregnancies and births should be monitored in future pandemics with particular attention to fertility trends.

Indexed as

Birth RateCOVID-19AdultFemaleHumansJapanModels, StatisticalPregnancySARS-CoV-2birth certificateCOVID‐19pregnancyreproductive healthtime factors

Identifiers

PMID39837539
PMCPMC11750332

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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.