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老挝在非药物干预、疫苗接种及新冠病毒变异株替代情况下的新冠病毒传播动力学建模

Modelling COVID-19 transmission dynamics in Laos under non-pharmaceutical interventions, vaccination, and replacement of SARS-CoV-2 variants.

作者信息

Zhang Xu-Sheng, Luo Hong, Charlett Andre, DeAngelis Daniela, Liu Wei, Vickerman Peter, Woolhouse Mark, Wu Linxiong

机构信息

Statistics, Modelling and Economics, Data, Analytics & Surveillance, UK Health Security Agency, London, UK.

Education College, Yunnan University, Kunming, Yunnan, People's Republic of China.

出版信息

BMC Glob Public Health. 2024 Jun 17;2(1):38. doi: 10.1186/s44263-024-00069-y.

Abstract

BACKGROUND

Understanding how the COVID-19 pandemic evolved under control measures is crucial to tackle the SARS-CoV-2 virus spread. Laos, a country bordering China but with late occurrence and low burden of COVID-19 compared to its neighbouring countries, was used for a case study.

METHODS

A transmission model with disease reporting was proposed to investigate the impact of control measures on the SARS-CoV-2 virus spread in Laos from April 2021 to May 2022. It was assumed that the transmission rate changed with people's behaviours, control measures and emerging variants; susceptibility decreased with vaccination and infection. Bayesian inference was used for model calibration to data of confirmed cases, deaths, and recoveries, and the deviance information criterion was used to select the best model variant.

RESULTS

Our model including Non-pharmaceutical interventions (NPIs), behaviour change, vaccination, and changing variants well explained the three waves in Laos. The Alpha variant was estimated to have a basic reproduction number of 1.55 (95% CrI: 1.47-1.64) and was replaced by the Delta variant from September 2021 which was 1.88 (95% CrI: 1.77-2.01) times more transmissible; the Delta variant was replaced by Omicron variant from March 2022 which was 3.33 (95% CrI: 2.84-3.74) times more transmissible. The Delta variant was the most severe with a case fatality rate of 1.05% (95% CrI: 0.96-1.15%) while the Alpha variant and Omicron variant were much milder. The ascertainment rate was low and variable: first decreasing from 13.2 to 1.8% by 23 May 2021, and then increasing to 23.4% by 15 March 2022. Counterfactual simulations indicated that vaccination played strong roles in reducing infections even under the emergence of immune escape variants while behaviour change delayed but might not flatten the peak of outbreaks.

CONCLUSIONS

The three waves of Laos' epidemics were due to the invasion of more transmissible and immune escape variants that affected the herd immunity built via vaccination and infection. Even with immunity waning and the escape of new variants, vaccination was still the major contributor to control COVID-19 and combining behaviour changes and vaccination would best suppress future outbreaks of COVID-19.

摘要

背景

了解新冠疫情在防控措施下如何演变对于应对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)病毒传播至关重要。老挝是一个与中国接壤的国家,但其新冠疫情的出现时间较晚,与邻国相比负担较轻,被用作案例研究。

方法

提出了一个带有疾病报告的传播模型,以研究2021年4月至2022年5月期间防控措施对老挝SARS-CoV-2病毒传播的影响。假设传播率会随着人们的行为、防控措施和新出现的变异株而变化;易感性会随着接种疫苗和感染而降低。采用贝叶斯推断对确诊病例、死亡病例和康复病例的数据进行模型校准,并使用偏差信息准则选择最佳模型变体。

结果

我们的模型包括非药物干预(NPIs)、行为改变、疫苗接种和变异株变化,很好地解释了老挝的三波疫情。据估计,阿尔法变异株的基本再生数为1.55(95%可信区间:1.47-1.64),并于2021年9月被德尔塔变异株取代,德尔塔变异株的传播性高出1.88倍(95%可信区间:1.77-2.01);德尔塔变异株于2022年3月被奥密克戎变异株取代,奥密克戎变异株的传播性高出3.33倍(95%可信区间:2.84-3.74)。德尔塔变异株最为严重,病死率为1.05%(95%可信区间:0.96-1.15%),而阿尔法变异株和奥密克戎变异株则温和得多。确诊率较低且变化不定:最初从2021年5月23日的13.2%降至1.8%,然后到2022年3月15日又升至23.4%。反事实模拟表明,即使在出现免疫逃逸变异株的情况下,疫苗接种在减少感染方面也发挥了重要作用,而行为改变会延迟疫情高峰,但可能无法使其平缓。

结论

老挝的三波疫情是由于更具传播性和免疫逃逸的变异株的入侵,这些变异株影响了通过疫苗接种和感染建立的群体免疫。即使免疫力下降且出现新的变异株逃逸,疫苗接种仍是控制新冠疫情的主要因素,将行为改变与疫苗接种相结合将最有效地抑制未来的新冠疫情爆发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e91f/11622881/e7b7916c36c1/44263_2024_69_Fig1_HTML.jpg

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