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马来西亚在 COVID-19 第三波疫情期间采取的运动控制措施的效果。

Effectiveness of the movement control measures during the third wave of COVID-19 in Malaysia.

机构信息

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, Setia Alam, Malaysia.

School of Mathematical and Computer Sciences, Heriot-Watt University, Putrajaya, Malaysia.

出版信息

Epidemiol Health. 2021;43:e2021073. doi: 10.4178/epih.e2021073. Epub 2021 Sep 23.

Abstract

OBJECTIVES

Starting in March 2020, movement control measures were instituted across several phases in Malaysia to break the chain of transmission of coronavirus disease 2019 (COVID-19). In this study, we developed a susceptible-exposed-infected-recovered (SEIR) model to examine the effects of the various phases of movement control measures on disease transmissibility and the trend of cases during the third wave of the COVID-19 pandemic in Malaysia.

METHODS

Three SEIR models were developed using the R programming software ODIN interface based on COVID-19 case data from September 1, 2020, to March 29, 2021. The models were validated and subsequently used to provide forecasts of daily cases from October 14, 2020, to March 29, 2021, based on 3 phases of movement control measures.

RESULTS

We found that the reproduction rate (R-value) of COVID-19 decreased by 59.1% from an initial high of 2.2 during the nationwide Recovery Movement Control Order (RMCO) to 0.9 during the Movement Control Order (MCO) and Conditional MCO (CMCO) phases. In addition, the observed cumulative and daily highest numbers of cases were much lower than the forecasted cumulative and daily highest numbers of cases (by 64.4-98.9% and 68.8-99.8%, respectively).

CONCLUSIONS

The movement control measures progressively reduced the R-value during the COVID-19 pandemic. In addition, more stringent movement control measures such as the MCO and CMCO were effective for further lowering the R-value and case numbers during the third wave of the COVID-19 pandemic in Malaysia due to their higher stringency than the nationwide RMCO.

摘要

目的

自 2020 年 3 月以来,马来西亚分几个阶段实施了行动管制措施,以阻断 2019 年冠状病毒病(COVID-19)的传播链。在这项研究中,我们开发了一个易感-暴露-感染-恢复(SEIR)模型,以检查不同阶段的行动管制措施对疾病传播的影响,以及马来西亚 COVID-19 疫情第三波期间病例的趋势。

方法

使用 R 编程软件 ODIN 界面,根据 2020 年 9 月 1 日至 2021 年 3 月 29 日的 COVID-19 病例数据,开发了三个 SEIR 模型。对模型进行了验证,并随后根据 3 个阶段的行动管制措施,利用模型对 2020 年 10 月 14 日至 2021 年 3 月 29 日的每日病例进行预测。

结果

我们发现 COVID-19 的繁殖率(R 值)从全国恢复行动管制令(RMCO)期间的初始高值 2.2 下降了 59.1%,降至行动管制令(MCO)和有条件行动管制令(CMCO)期间的 0.9。此外,观察到的累计和每日最高病例数远低于预测的累计和每日最高病例数(分别为 64.4-98.9%和 68.8-99.8%)。

结论

行动管制措施在 COVID-19 大流行期间逐步降低了 R 值。此外,由于 MCO 和 CMCO 的严格程度高于全国 RMCO,因此更严格的行动管制措施(如 MCO 和 CMCO)在马来西亚 COVID-19 疫情第三波期间更有效地降低了 R 值和病例数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/32c0/8891114/e2da8e4f1f33/epih-43-e2021073f1.jpg

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