COVID-19 大流行之前和期间日本艾滋病毒诊断的地区差异

IF 8.8 3区 医学 Q1 Medicine
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引用次数: 0

摘要

背景自 2020 年以来,自愿接受 HIV 检测的人数骤减。了解 HIV 感染的地域异质性以及 COVID-19 对地区 HIV 诊断的影响非常重要。本研究旨在估算各地理区域的艾滋病发病率,并了解 COVID-19 大流行如何影响艾滋病诊断。我们使用了八个地区:日本首都东京、北海道加东北、关东加甲信越(东京除外)、北陆、东海、近畿、中国加四国、九州加冲绳。对四种不同的流行病学测量方法进行了评估:(i) 估计的 HIV 感染率,(ii) 估计的诊断率,(iii) 未确诊的 HIV 感染人数,以及 (iv) 已确诊的 HIV 感染比例。结果在 2020 年至 2022 年 COVID-19 大流行期间,除关东/甲信越(51.3 例/年)、东京(183.9 例/年)、北陆(1.0 例/年)和东海(43.1 例/年)外,其他地区的艾滋病毒/艾滋病发病率均有所上升。只有东京(91.7%,95% 置信区间:90.6, 93.3)、关东/甲信越(91.0%,95% 置信区间:87.3, 97.8)和近畿(92.5%,95% 置信区间:90.4, 95.9)的艾滋病病毒感染者比例超过 90%。结论在东京、近畿和关东/甲信越等大都市地区,未确诊的 HIV 感染者人数众多。然而,与其他地区相比,未确诊感染者的比例估计较小。九州/冲绳的确诊比例最低(80.5%),其次是中国/四国和北海道/东北。与城市地区相比,这些地区都道府县的诊断水平可能受到 COVID-19 大流行的更大影响和破坏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional variations in HIV diagnosis in Japan before and during the COVID-19 pandemic

Background

The number of people undergoing voluntary HIV testing has abruptly decreased since 2020. The geographical heterogeneity of HIV infection and the impact of COVID-19 on the diagnosis of HIV at regional level are important to understand. This study aimed to estimate the HIV incidence by geographical region and understand how the COVID-19 pandemic influenced diagnosis of HIV.

Methods

We used an extended back-calculation method to reconstruct the epidemiological dynamics of HIV/AIDS by geographical region. We used eight regions: Tokyo, the capital of Japan, Hokkaido plus Tohoku, Kanto plus Koshinetsu (excluding Tokyo), Hokuriku, Tokai, Kinki, Chugoku plus Shikoku, and Kyushu plus Okinawa. Four different epidemiological measurements were evaluated: (i) estimated HIV incidence, (ii) estimated rate of diagnosis, (iii) number of undiagnosed HIV infections, and (iv) proportion of HIV infections that had been diagnosed.

Results

The incidence of HIV/AIDS during the COVID-19 pandemic from 2020 to 2022 increased in all regions except Kanto/Koshinetsu (51.3 cases/year), Tokyo (183.9 cases/year), Hokuriku (1.0 cases/year), and Tokai (43.1 cases/year). The proportion of HIV infections that had been diagnosed only exceeded 90% in Tokyo (91.7%, 95% confidence interval (CI): 90.6, 93.3), Kanto/Koshinetsu (91.0%, 95% CI: 87.3, 97.8), and Kinki (92.5%, 95% CI: 90.4, 95.9). The proportion of infections that had been diagnosed was estimated at 83.3% (95% CI: 75.1, 98.7) in Chugoku/Shikoku and 80.5% (95% CI: 73.9, 91.0) in Kyusyu/Okinawa.

Conclusions

In urban regions with major metropolitan cities, including Tokyo, Kinki, and Kanto/Koshinetsu, the number of undiagnosed HIV infections is substantial. However, the proportion of undiagnosed infections was estimated to be smaller than in other regions. The diagnosed proportion was the lowest in Kyusyu/Okinawa (80.5%), followed by Chugoku/Shikoku and Hokkaido/Tohoku. The level of diagnosis in those regional prefectures may have been more influenced and damaged by the COVID-19 pandemic than in urban settings.

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来源期刊
Infectious Disease Modelling
Infectious Disease Modelling Mathematics-Applied Mathematics
CiteScore
17.00
自引率
3.40%
发文量
73
审稿时长
17 weeks
期刊介绍: Infectious Disease Modelling is an open access journal that undergoes peer-review. Its main objective is to facilitate research that combines mathematical modelling, retrieval and analysis of infection disease data, and public health decision support. The journal actively encourages original research that improves this interface, as well as review articles that highlight innovative methodologies relevant to data collection, informatics, and policy making in the field of public health.
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