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The impact of natural disasters on the spread of COVID-19: a geospatial, agent-based epidemiology model 自然灾害对新冠肺炎传播的影响:地理空间、基于病原体的流行病学模型
Q1 Mathematics Pub Date : 2020-09-14 DOI: 10.1101/2020.09.12.20193433
M. V. W. de Vries, L. Rambabu
Natural disasters and infectious diseases result in widespread disruption to human health and livelihood. At the scale of a global pandemic, the co-occurrence of natural disasters is inevitable. However, the impact of natural disasters on the spread of COVID-19 has not been extensively evaluated through epidemiological modelling. We create an agent-based epidemiology model based on COVID-19 clinical, epidemiological, and geographic data. We first model 35 scenarios with varying natural disaster timing and duration for a COVID-19 outbreak in a theoretical region. We then evaluate the potential effect of an eruption of Vesuvius volcano on the spread of COVID-19 in Campania, Italy. In a majority of cases, the occurrence of a natural disaster increases the number of disease related fatalities. For a natural disaster fifty days after infection onset, the median increase in fatalities is 2, 59, and 180% for a 2, 14, and 31-day long natural disaster respectively, when compared to the no natural disaster scenario. For the Campania case, the median increase in fatalities is 1.1 and 2.4 additional fatalities per 100,000 for eruptions on day 1 and 100 respectively, and 60.0 additional fatalities per 100,000 for an eruption close to the peak in infections (day 50). Our results show that the occurrence of a natural disaster in most cases leads to an increase in infection related fatalities, with wide variance in possible outcomes depending on the timing of the natural disaster relative to the peak in infections and the duration of the natural disaster.
自然灾害和传染病对人类健康和生计造成广泛破坏。在全球大流行病的规模下,自然灾害的同时发生是不可避免的。然而,自然灾害对新冠肺炎传播的影响尚未通过流行病学模型进行广泛评估。我们基于新冠肺炎临床、流行病学和地理数据创建了一个基于代理的流行病学模型。我们首先对新冠肺炎在理论区域爆发的35种不同自然灾害时间和持续时间的情景进行建模。然后,我们评估了维苏威火山爆发对新冠肺炎在意大利坎帕尼亚传播的潜在影响。在大多数情况下,自然灾害的发生会增加与疾病相关的死亡人数。对于感染发生50天后的自然灾害,与无自然灾害的情况相比,持续2天、14天和31天的自然灾害死亡人数的中位数分别增加了2%、59%和180%。对于坎帕尼亚病例,第1天和第100天爆发的死亡人数增加中位数分别为每100000人增加1.1人和2.4人,接近感染高峰的爆发(第50天)每100000人额外增加60.0人。我们的研究结果表明,在大多数情况下,自然灾害的发生会导致与感染相关的死亡人数增加,可能的结果差异很大,这取决于自然灾害发生的时间相对于感染高峰和自然灾害的持续时间。
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引用次数: 1
Correction to: Statistical field theory of the transmission of nerve impulses 更正:神经脉冲传输的统计场论
Q1 Mathematics Pub Date : 2020-03-12 DOI: 10.21203/rs.3.rs-16896/v1
Gianluigi Zangari del Balzo
An amendment to this paper has been published and can be accessed via the original article.
本文的修正案已经发表,可以通过原文章访问。
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引用次数: 0
Method for generating multiple risky barcodes of complex diseases using ant colony algorithm 基于蚁群算法的复杂疾病多重风险条形码生成方法
Q1 Mathematics Pub Date : 2017-02-01 DOI: 10.1186/s12976-017-0050-0
Xiong Li, Wen Jiang
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引用次数: 6
The role of mobility and health disparities on the transmission dynamics of Tuberculosis 流动性和健康差异对结核病传播动态的作用
Q1 Mathematics Pub Date : 2017-01-28 DOI: 10.1186/s12976-017-0049-6
Victor M. Moreno, B. Espinoza, K. Barley, Marlio Paredes, Derdei Bichara, A. Mubayi, C. Castillo-Chavez
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引用次数: 6
Estimating the subcritical transmissibility of the Zika outbreak in the State of Florida, USA, 2016 估计2016年美国佛罗里达州寨卡疫情的亚临界传播力
Q1 Mathematics Pub Date : 2016-11-09 DOI: 10.1186/s12976-016-0046-1
Linh Dinh, G. Chowell, K. Mizumoto, H. Nishiura
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引用次数: 35
A physiologically-based flow network model for hepatic drug elimination III: 2D/3D DLA lobule models 基于生理的肝脏药物消除血流网络模型III: 2D/3D DLA小叶模型
Q1 Mathematics Pub Date : 2016-03-03 DOI: 10.1186/s12976-016-0034-5
V. Rezania, D. Coombe, J. Tuszynski
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引用次数: 16
Modeling glucose and free fatty acid kinetics in glucose and meal tolerance test 葡萄糖和膳食耐量试验中葡萄糖和游离脂肪酸动力学建模
Q1 Mathematics Pub Date : 2016-03-02 DOI: 10.1186/s12976-016-0036-3
Yanjun Li, C. Chow, A. Courville, A. Sumner, V. Periwal
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引用次数: 4
Toward precision medicine of breast cancer 向乳腺癌精准医学迈进
Q1 Mathematics Pub Date : 2016-02-29 DOI: 10.1186/s12976-016-0035-4
N. Carels, Lizania Spinasse, T. Tilli, J. Tuszynski
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引用次数: 51
A group matrix representation relevant to scales of measurement of clinical disease states via stratified vectors 通过分层载体与临床疾病状态测量尺度相关的组矩阵表示
Q1 Mathematics Pub Date : 2016-02-09 DOI: 10.1186/s12976-016-0031-8
J. Sawamura, Shigeru Morishita, J. Ishigooka
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引用次数: 0
Simulation and qualitative analysis of glucose variability, mean glucose, and hypoglycemia after subcutaneous insulin therapy for stress hyperglycemia 模拟和定性分析葡萄糖变异性、平均葡萄糖和低血糖后皮下胰岛素治疗应激性高血糖
Q1 Mathematics Pub Date : 2016-01-27 DOI: 10.1186/s12976-016-0029-2
R. Strilka, M. Stull, Michael S. Clemens, Stewart C. McCaver, S. Armen
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引用次数: 6
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