Spatiotemporal evolution of COVID-19 infection and detection within night light networks: comparative analysis of USA and China [0.03%]
基于夜间灯光网络的新冠肺炎感染和检测时空演化及中美对比分析
Christopher Small,Daniel Sousa
Christopher Small
The spatial distribution of population affects disease transmission, especially when shelter in place orders restrict mobility for a large fraction of the population. The spatial network structure of settlements therefore imposes a fundamen...
Tomer Lev,Erez Shmueli
Tomer Lev
Vaccination has become one of the most prominent measures for preventing the spread of infectious diseases in modern times. However, mass vaccination of the population may not always be possible due to high costs, severe side effects, or sh...
Identification of effective spreaders in contact networks using dynamical influence [0.03%]
利用动力学影响识别接触网络中的有效传播者
Ruaridh A Clark,Malcolm Macdonald
Ruaridh A Clark
Contact networks provide insights on disease spread due to the duration of close proximity interactions. For systems governed by consensus dynamics, network structure is key to optimising the spread of information. For disease spread over c...
Assessing the interplay between travel patterns and SARS-CoV-2 outbreak in realistic urban setting [0.03%]
评估旅行模式与现实城市环境中SARS-CoV-2疫情暴发之间的相互作用
Rohan Patil,Raviraj Dave,Harsh Patel et al.
Rohan Patil et al.
Background: The dense social contact networks and high mobility in congested urban areas facilitate the rapid transmission of infectious diseases. Typical mechanistic epidemiological models are either based on uniform mix...
Towards Dynamic lockdown strategies controlling pandemic spread under healthcare resource budget [0.03%]
基于医疗资源预算控制大流行的动态封锁策略研究
Satyaki Roy,Ronojoy Dutta,Preetam Ghosh
Satyaki Roy
COVID-19 is one of the deadliest pandemics in modern human history that has killed nearly a million people and rapidly inundated the healthcare resources around the world. Current lockdown measures to curb infection spread are threatening t...
Network model and analysis of the spread of Covid-19 with social distancing [0.03%]
具有社交隔离的Covid-19传播网络模型与分析
Parul Maheshwari,Réka Albert
Parul Maheshwari
The first mitigation response to the Covid-19 pandemic was to limit person-to-person interaction as much as possible. This was implemented by the temporary closing of many workplaces and people were required to follow social distancing. Net...
Public risk perception and emotion on Twitter during the Covid-19 pandemic [0.03%]
新冠疫情期间Twitter上的公众风险感知和情绪分析
Joel Dyer,Blas Kolic
Joel Dyer
Successful navigation of the Covid-19 pandemic is predicated on public cooperation with safety measures and appropriate perception of risk, in which emotion and attention play important roles. Signatures of public emotion and attention are ...
Elham Alghamdi,Ellen Rushe,Brian Mac Namee et al.
Elham Alghamdi et al.
In many real applications of semi-supervised learning, the guidance provided by a human oracle might be "noisy" or inaccurate. Human annotators will often be imperfect, in the sense that they can make subjective decisions, they might only h...
Epidemic spreading and control strategies in spatial modular network [0.03%]
具有空间模块结构网络上的流行病传播与防控策略研究
Bnaya Gross,Shlomo Havlin
Bnaya Gross
Epidemic spread on networks is one of the most studied dynamics in network science and has important implications in real epidemic scenarios. Nonetheless, the dynamics of real epidemics and how it is affected by the underline structure of t...
Heterogeneity in SIR epidemics modeling: superspreaders and herd immunity [0.03%]
SIR流行病模型中的异质性：超级传播者和群体免疫
Istvan Szapudi
Istvan Szapudi
Deterministic epidemic models, such as the Susceptible-Infected-Recovered (SIR) model, are immensely useful even if they lack the nuance and complexity of social contacts at the heart of network science modeling. Here we present a simple mo...