Evidence map›Paper›PMID 39972366›Full record

ArticleBMC public health2025

Effect of individual preventive practices on COVID-19 infection: an analysis of big data collected at PCR testing centers in Hiroshima, Japan.

Tatsuhiro Nagata, Odgerel Chimed-Ochir, Yui Yumiya, Junko Tanaka, Masao Kuwabara, Kanako Kitahara, Hiroki Ohge, Tatsuhiko Kubo

Abstract read
In one paragraph

Article in BMC public health, 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

8 authors.

Tatsuhiro NagataDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8553, Japan.
Odgerel Chimed-OchirDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8553, Japan. odgerel@hiroshima-u.ac.jp.
Yui YumiyaDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8553, Japan.
Junko TanakaMedical Policy Office, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8553, Japan.
Masao KuwabaraHiroshima Prefectural Center for Disease Control and Prevention, 10-52, Motomachi, Naka-ku, Hiroshima-shi, Hiroshima-ken, Hiroshima, 730-8511, Japan.
Kanako KitaharaHiroshima Prefectural Government Health and Welfare Affairs Bureau, 10-52, Motomachi, Naka-ku, Hiroshima-shi, Hiroshima-ken, Hiroshima, 730-8511, Japan.
Hiroki OhgeDepartment of Infectious Diseases, Hiroshima University Hospital, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-0037, Japan.
Tatsuhiko KuboDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8553, Japan.

Funding

Japan Agency for Medical Research and Development 20fk0108453h0001JST SPRING JPMJSP2132
6 · The paper itself

Abstract

backgroundBy May 7, 2023, COVID-19 had significantly impacted Japan, with 33,728,909 infections and 74,663 deaths reported. Hiroshima Prefecture alone recorded 816,354 cases and 1,373 deaths. The World Health Organization emphasized the importance of non-pharmaceutical interventions (NPIs) for preventing infectious disease transmission. Individual NPIs, such as hand hygiene, mask wearing, and avoiding crowded places, comprise simple everyday measures that individuals can personally undertake to protect themselves and others from contracting and transmitting respiratory infections. Japan's Cabinet Secretariat also recommended these measures. Previous studies investigated the effectiveness of NPIs but often used relatively short data-collection periods. Starting in May 2020, Hiroshima Prefecture adopted a unique COVID-19 public health surveillance policy that used standardized data-collection forms. The present analysis examines the association between individual NPIs and COVID-19 infections.

methodsData were collected at 14 PCR centers from April 1, 2021, to August 3, 2022 in Hiroshima Prefecture. Participants filled out the J-SPEED-style COVID-19 form, which included items on demographic information, job type, symptoms, and NPIs. The data were analyzed for demographic information, NPI compliance rates, infection rates in relation to NPI adoption, and adjusted risk ratios, which were obtained using a multivariate log-binomial regression model.

resultsA total of 1,125,188 tested cases from 4th to 7th waves were analyzed. Among the study population, the infection rate increased through the various waves, with the highest rate (8.3%) seen in the 7th wave. Adults aged 40-49 were most commonly tested, while those aged 60-69 had the lowest infection rates. Wearing masks/washing hands was the most commonly followed NPI. Compliance with NPIs decreased through the waves. Individuals adhering to NPIs had lower infection rates. The number of preventive measures adopted was correlated with a reduced infection risk.

conclusionThis analysis provides evidence to guide COVID-19 prevention policies. Simultaneous adherence to multiple NPIs proved more effective in preventing COVID-19. Despite changes in viral strains and the number of infected cases, hand washing/mask wearing, refraining from travel, and refraining from dining out significantly associated with a reduction of COVID-19 infection. Our findings are likely to be applicable in future infectious disease outbreaks.

Indexed as

COVID-19AdolescentAdultAgedBig DataFemaleHand HygieneHumansJapanMaleMasksMiddle AgedSARS-CoV-2Young AdultBehavioral risk factor surveillance systemCOVID-19JapanJ-SPEEDNPIsPrevention and controlPublic healthPublic health surveillance

Identifiers

PMID39972366
PMCPMC11837383

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.