A social network analysis of the spread of COVID-19 in South Korea and policy implications

W Jo, D Chang, M You, GH Ghim - Scientific Reports, 2021 - nature.com
This study estimates the COVID-19 infection network from actual data and draws on
implications for policy and research. Using contact tracing information of 3283 confirmed …

Social network analysis methods for exploring SARS-CoV-2 contact tracing data

K Nagarajan, M Muniyandi, B Palani… - BMC medical research …, 2020 - Springer
Background Contact tracing data of severe acute respiratory syndrome coronavirus 2 (SARS-
CoV-2) pandemic is used to estimate basic epidemiological parameters. Contact tracing …

Density or connectivity: what are the main causes of the spatial proliferation of COVID-19 in Korea?

Y Jo, A Hong, H Sung - … journal of environmental research and public …, 2021 - mdpi.com
COVID-19 has sparked a debate on the vulnerability of densely populated cities. Some
studies argue that high-density urban centers are more vulnerable to infectious diseases …

Social network analysis of COVID-19 transmission in Karnataka, India

S Saraswathi, A Mukhopadhyay, H Shah… - Epidemiology & …, 2020 - cambridge.org
We used social network analysis (SNA) to study the novel coronavirus (COVID-19) outbreak
in Karnataka, India, and to assess the potential of SNA as a tool for outbreak monitoring and …

[HTML][HTML] Visualizing COVID-19 pandemic risk through network connectedness

MKP So, A Tiwari, AMY Chu, JTY Tsang… - International Journal of …, 2020 - Elsevier
With the domestic and international spread of the coronavirus disease 2019 (COVID-19),
much attention has been given to estimating pandemic risk. We propose the novel …

[HTML][HTML] On topological properties of COVID-19: Predicting and assessing pandemic risk with network statistics

MKP So, AMY Chu, A Tiwari, JNL Chan - Scientific Reports, 2021 - nature.com
The spread of coronavirus disease 2019 (COVID-19) has caused more than 80 million
confirmed infected cases and more than 1.8 million people died as of 31 December 2020 …

[HTML][HTML] Statistical and network analysis of 1212 COVID-19 patients in Henan, China

P Wang, J Lu, Y Jin, M Zhu, L Wang, S Chen - International Journal of …, 2020 - Elsevier
Background COVID-19 is spreading quickly all over the world. Publicly released data for
1212 COVID-19 patients in Henan of China were analyzed in this paper. Methods Various …

Using social network analysis to identify spatiotemporal spread patterns of COVID-19 around the world: online dashboard development

KY Yie, TW Chien, YT Yeh, W Chou, SB Su - International journal of …, 2021 - mdpi.com
The COVID-19 pandemic has spread widely around the world. Many mathematical models
have been proposed to investigate the inflection point (IP) and the spread pattern of COVID …

Tracking the spread of COVID-19 in India via social networks in the early phase of the pandemic

S Azad, S Devi - Journal of travel medicine, 2020 - academic.oup.com
Background The coronavirus pandemic (COVID-19) has spread worldwide via international
travel. This study traced its diffusion from the global to national level and identified a few …

The connectedness of the coronavirus disease pandemic in the world: A study based on complex network analysis

S Zhu, M Kou, F Lai, Q Feng, G Du - Frontiers in Physics, 2021 - frontiersin.org
Since the coronavirus disease (COVID-19) pandemic started at the beginning of 2020, it has
seriously affected various countries' economic and social development and accelerated the …