ArticleEnvironmental health and preventive medicine2022
Number of public health nurses and COVID-19 incidence rate by variant type: an ecological study of 47 prefectures in Japan.
Article in Environmental health and preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Public health nurse density and associated factors across Japan: an ecological study.BMC nursing · 2025Article
- Decentralized pandemic response and health equity: an analysis of socioeconomic disparities in COVID-19 mortality in Japan.Epidemiology and health · 2025Article
- Key issues in Japan's public health centers to prepare for future pandemics: a text mining study using a topic model.BMC health services research · 2024Article
- Detection of outlier prefectures on the mortality due to COVID-19 in Japan.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2023Article
- Difficulties and distress experienced by Japanese public health nurses specializing in quarantine services when dealing with COVID-19: A qualitative study in peri-urban municipality.AIMS public health · 2023Article
- Article
- Changes in the Number of Public Health Nurses Employed in Local Governments in Japan During the Covid-19 Pandemic: A Cross-Sectional Study.SAGE open nursingArticle
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Abstract
backgroundCommunity health activities by public health nurses (PHNs) are known to improve lifestyle habits of local residents, and may encourage the practice of infectious disease prevention behaviors during the COVID-19 pandemic. We investigated the association between prefecture-level COVID-19 incidence rate and the number of PHNs per population in Japan, by the COVID-19 variant type.
methodsOur data were based on government surveys where prefectural-level data are accessible to the public. The outcome variable was the COVID-19 incidence rate (i.e., the cumulative number of COVID-19 cases per 100,000 population for each variant type in 47 prefectures). The explanatory variable was the number of PHNs per 100,000 population by prefecture. Covariates included socioeconomic factors, regional characteristics, healthcare resources, and health behaviors. The generalized estimating equations of the multivariable Poisson regression models were used to estimate adjusted incidence rate ratio (IRR) and 95% confidence interval (CI) for the COVID-19 cases. We performed stratified analyses by variant type (i.e., wild type, alpha variant, and delta variant).
resultsA total of 1,705,224 confirmed COVID-19 cases (1351.6 per 100,000 population) in Japan were reported as of September 30, 2021. The number of PHNs per 100,000 population in Japan was 41.9. Multivariable Poisson regression models showed that a lower number of PHNs per population was associated with higher IRR of COVID-19. Among all COVID-19 cases, compared to the highest quintile group of the number of PHNs per population, the adjusted IRR of the lowest quintile group was consistently significant in the models adjusting for socioeconomic factors (IRR: 3.76, 95% CI: 2.55-5.54), regional characteristics (1.73, 1.28-2.34), healthcare resources (3.88, 2.45-6.16), and health behaviors (2.17, 1.39-3.37). These significant associations were unaffected by the variant type of COVID-19.
conclusionWe found that the COVID-19 incidence rate was higher in prefectures with fewer PHNs per population, regardless of the COVID-19 variant type. By increasing the number of PHNs, it may be possible to contain the spread of COVID-19 in Japan and provide an effective human resource to combat emerging infectious diseases in the future.
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