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ModInterv:一款用于流行病建模的自动化在线软件。

ModInterv: An automated online software for modeling epidemics.

作者信息

Brum Arthur A, Duarte-Filho Gerson C, Ospina Raydonal, Almeida Francisco A G, Macêdo Antônio M S, Vasconcelos Giovani L

机构信息

Departamento de Física, Universidade Federal de Pernambuco, 50670-901 Recife, Pernambuco, Brazil.

Departamento de Física - Universidade Federal de Sergipe, 49100-000, São Cristóvão, Sergipe, Brazil.

出版信息

Softw Impacts. 2022 Nov;14:100409. doi: 10.1016/j.simpa.2022.100409. Epub 2022 Aug 13.

DOI:10.1016/j.simpa.2022.100409
PMID:35990010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9375249/
Abstract

The COVID-19 pandemic has proven the importance of mathematical tools to understand the evolution of epidemic outbreaks and provide reliable information to the general public and health authorities. In this perspective, we have developed ModInterv, an online software that applies growth models to monitor the evolution of the COVID-19 epidemic in locations chosen by the user among countries worldwide or states and cities in the USA or Brazil. This paper describes the software capabilities and its use both in recent research works and by technical committees assisting government authorities. Possible applications to other epidemics are also briefly discussed.

摘要

2019年冠状病毒病疫情已证明数学工具对于理解疫情爆发演变以及向公众和卫生当局提供可靠信息的重要性。从这个角度来看,我们开发了ModInterv,这是一款在线软件,它应用增长模型来监测用户在全球各国或美国及巴西的州和城市中所选地点的2019年冠状病毒病疫情演变情况。本文介绍了该软件的功能,以及它在近期研究工作和协助政府当局的技术委员会中的使用情况。还简要讨论了其在其他疫情中的可能应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e15/9375249/fbc9ece10b90/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e15/9375249/fbc9ece10b90/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e15/9375249/fbc9ece10b90/gr1_lrg.jpg

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本文引用的文献

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Epidemiological waves - Types, drivers and modulators in the COVID-19 pandemic.新冠疫情中的流行波——类型、驱动因素及调节因素
Heliyon. 2023 May 3;9(5):e16015. doi: 10.1016/j.heliyon.2023.e16015. eCollection 2023 May.
2
ModInterv COVID-19: An online platform to monitor the evolution of epidemic curves.ModInterv COVID-19:一个监测疫情曲线演变的在线平台。
Appl Soft Comput. 2023 Apr;137:110159. doi: 10.1016/j.asoc.2023.110159. Epub 2023 Feb 27.
3
The United States COVID-19 Forecast Hub dataset.美国 COVID-19 预测中心数据集。
Sci Data. 2022 Aug 1;9(1):462. doi: 10.1038/s41597-022-01517-w.
4
: A code for fitting multi-wave epidemic models.用于拟合多波疫情模型的代码。
Softw Impacts. 2022 Nov;14:100391. doi: 10.1016/j.simpa.2022.100391. Epub 2022 Jul 26.
5
Source Code for Optimized Parallel Inception: A Fast COVID-19 Screening Software.优化并行Inception的源代码:一款快速的COVID-19筛查软件。
Softw Impacts. 2022 Aug;13:100337. doi: 10.1016/j.simpa.2022.100337. Epub 2022 Jun 22.
6
COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19.COV-ADSX:一种利用X射线图像、深度学习和XGBoost技术检测新冠肺炎的自动检测系统。
Softw Impacts. 2022 Feb;11:100210. doi: 10.1016/j.simpa.2021.100210. Epub 2021 Dec 29.
7
Power law behaviour in the saturation regime of fatality curves of the COVID-19 pandemic.COVID-19 大流行病死率曲线饱和阶段的幂律行为。
Sci Rep. 2021 Feb 25;11(1):4619. doi: 10.1038/s41598-021-84165-1.
8
Array programming with NumPy.使用 NumPy 进行数组编程。
Nature. 2020 Sep;585(7825):357-362. doi: 10.1038/s41586-020-2649-2. Epub 2020 Sep 16.
9
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