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估算伊朗克尔曼省的 COVID-19 病例数量以及新的 COVID-19 变异株和疫苗接种对人群的影响:一项数学建模研究。

Estimating the Number of COVID-19 Cases and Impact of New COVID-19 Variants and Vaccination on the Population in Kerman, Iran: A Mathematical Modeling Study.

机构信息

Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.

Department of Biostatistics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran.

出版信息

Comput Math Methods Med. 2022 Apr 26;2022:6624471. doi: 10.1155/2022/6624471. eCollection 2022.

Abstract

COVID-19 is spreading all over Iran, and Kerman is one of the most affected cities. We conducted this study to predict COVID-19-related deaths, hospitalization, and infected cases under different scenarios (scenarios A, B, and C) by 31 December 2021 in Kerman. We also aimed to assess the impact of new COVID-19 variants and vaccination on the total number of COVID-19 cases, deaths, and hospitalizations (scenarios D, E, and F) using the modified susceptible-exposed-infected-removed (SEIR) model. We calibrated the model using deaths reported from the start of the epidemic to August 30, 2021. A Monte Carlo Markov Chain (MCMC) uncertainty analysis was used to estimate 95% uncertainty intervals (UI). We also calculated the time-varying reproductive number ( ) following time-dependent methods. Under the worst-case scenario (scenario A; contact rate = 10, self-isolation rate = 30%, and average vaccination shots per day = 5,000), the total number of infections by December 31, 2021, would be 1,625,000 (95% UI: 1,112,000-1,898,000) with 6,700 deaths (95% UI: 5,200-8,700). With the presence of alpha and delta variants without vaccine (scenario D), the total number of infected cases and the death toll were estimated to be 957,000 (95% UI: 208,000-1,463,000) and 4,500 (95% UI: 1,500-7,000), respectively. If 70% of the population were vaccinated when the alpha variant was dominant (scenario E), the total number of infected cases and deaths would be 608,000 (95% UI: 122,000-743,000) and 2,700 (95% UI: 700-4,000), respectively. The was ≥1 almost every day during the epidemic. Our results suggest that policymakers should concentrate on improving vaccination and interventions, such as reducing social contacts, stricter limitations for gathering, public education to promote social distancing, incensing case finding and contact tracing, effective isolation, and quarantine to prevent more COVID-19 cases, hospitalizations, and deaths in Kerman.

摘要

新冠疫情正在伊朗全境蔓延,克尔曼是受影响最严重的城市之一。本研究旨在通过修改后的易感-暴露-感染-清除(SEIR)模型,预测 2021 年 12 月 31 日前不同情景(情景 A、B 和 C)下与新冠相关的死亡、住院和感染病例数,并评估新冠新变异株和疫苗接种对新冠总病例数、死亡和住院人数的影响(情景 D、E 和 F)。我们使用截至 2021 年 8 月 30 日的疫情开始时报告的死亡人数对模型进行校准。采用蒙特卡罗马尔可夫链(MCMC)不确定性分析来估计 95%置信区间(UI)。我们还按照时间依赖方法计算了时变繁殖数()。在最坏情况下(情景 A;接触率=10,自我隔离率=30%,平均日接种量为 5000 剂),到 2021 年 12 月 31 日,总感染人数将达到 162.5 万(95% UI:111.2 万-189.8 万),死亡人数为 6700 人(95% UI:5200-8700)。如果在没有疫苗的情况下存在阿尔法和德尔塔变异株(情景 D),预计感染人数和死亡人数将分别达到 95.7 万(95% UI:20.8 万-146.3 万)和 4500 人(95% UI:1500-7000)。如果阿尔法变异株占主导地位时 70%的人口接种疫苗(情景 E),感染人数和死亡人数将分别为 60.8 万(95% UI:12.2 万-74.3 万)和 2700 人(95% UI:700-4000)。疫情期间,繁殖数几乎每天都大于 1。我们的研究结果表明,决策者应集中精力提高疫苗接种率,并采取干预措施,如减少社会接触、更严格的集会限制、开展公众教育以促进社交距离、加强病例发现和接触者追踪、有效隔离和检疫,以防止克尔曼出现更多的新冠病例、住院和死亡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9d2/9039779/114c83d70c5d/CMMM2022-6624471.001.jpg

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