Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Education

PDF

Medical risk factors

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

A Comparison Of Prospective Space-Time Scan Statistics And Spatiotemporal Event Sequence Based Clustering For Covid-19 Surveillance, Fuyu Xu, Kate Beard Jun 2021

A Comparison Of Prospective Space-Time Scan Statistics And Spatiotemporal Event Sequence Based Clustering For Covid-19 Surveillance, Fuyu Xu, Kate Beard

Teaching, Learning & Research Documents

The outbreak of the COVID-19 disease was first reported in Wuhan, China, in December 2019. Cases in the United States began appearing in late January. On March 11, the World Health Organization (WHO) declared a pandemic. By mid-March COVID-19 cases were spreading across the US with several hotspots appearing by April. Health officials point to the importance of surveillance of COVID-19 to better inform decision makers at various levels and efficiently manage distribution of human and technical resources to areas of need. The prospective space-time scan statistic has been used to help identify emerging COVID-19 disease clusters, but results from …


Connectivity, Reproduction Number, And Mobility Interact To Determine Communities’ Epidemiological Superspreader Potential In A Metapopulation Network, Brandon Lieberthal, Allison M. Gardner Mar 2021

Connectivity, Reproduction Number, And Mobility Interact To Determine Communities’ Epidemiological Superspreader Potential In A Metapopulation Network, Brandon Lieberthal, Allison M. Gardner

School of Biology & Ecology

Disease epidemic outbreaks on human metapopulation networks are often driven by a small number of superspreader nodes, which are primarily responsible for spreading the disease throughout the network. Superspreader nodes typically are characterized either by their locations within the network, by their degree of connectivity and centrality, or by their habitat suitability for the disease, described by their reproduction number (R). Here we introduce a model that considers simultaneously the effects of network properties and R on superspreaders, as opposed to previous research which considered each factor separately. This type of model is applicable to diseases for which …