Nara Prefectural Health Research Center, Nara Medical University.
Environ Health Prev Med. 2022;27:18. doi: 10.1265/ehpm.22-00013.
Community 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.
Our 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).
A 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.
We 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.
公共卫生护士(PHN)开展的社区卫生活动已被证实可以改善当地居民的生活习惯,并可能鼓励在 COVID-19 大流行期间采取传染病预防行为。我们调查了日本按 COVID-19 变异类型划分的每 10 万人中 PHN 人数与县级 COVID-19 发病率之间的关系。
我们的数据基于政府调查,公众可以获取县级数据。因变量是 COVID-19 发病率(即 47 个县中每种变异类型每 10 万人的 COVID-19 累计病例数)。解释变量是每个县每 10 万人的 PHN 人数。协变量包括社会经济因素、区域特征、医疗资源和健康行为。多变量泊松回归模型的广义估计方程用于估计 COVID-19 病例的调整发病率比(IRR)和 95%置信区间(CI)。我们按变异类型(即野生型、alpha 变异和 delta 变异)进行了分层分析。
截至 2021 年 9 月 30 日,日本共报告了 1705224 例确诊的 COVID-19 病例(每 10 万人中有 1351.6 例)。日本每 10 万人中的 PHN 人数为 41.9。多变量泊松回归模型显示,每 10 万人中 PHN 人数较少与 COVID-19 的更高 IRR 相关。在所有 COVID-19 病例中,与每 10 万人中 PHN 人数最高的五分位组相比,调整社会经济因素(IRR:3.76,95%CI:2.55-5.54)、区域特征(1.73,1.28-2.34)、医疗资源(3.88,2.45-6.16)和健康行为(2.17,1.39-3.37)的模型中,最低五分位组的调整 IRR 始终具有统计学意义。这些显著关联不受 COVID-19 变异类型的影响。
我们发现,每 10 万人中 PHN 人数较少的县 COVID-19 发病率更高,无论 COVID-19 变异类型如何。通过增加 PHN 的数量,可能有助于控制日本 COVID-19 的传播,并为未来应对新发传染病提供有效的人力资源。