The Experts below are selected from a list of 23451 Experts worldwide ranked by ideXlab platform

Qingquan Liu - One of the best experts on this subject based on the ideXlab platform.

  • review of the 2019 novel coronavirus sars cov 2 based on current evidence
    International Journal of Antimicrobial Agents, 2020
    Co-Authors: Lisheng Wang, Yiru Wang, Qingquan Liu
    Abstract:

    COVID-19, the Disease caused by SARS-CoV-2, is a highly Contagious Disease. The World Health Organization has declared the ongoing outbreak to be a global public health emergency. Currently, the research on SARS-CoV-2 is in its primary stages. Based on current published evidence, this review systematically summarizes the epidemiology, clinical characteristics, diagnosis, treatment and prevention of COVID-19. It is hoped that this review will help the public to recognize and deal with SARS-CoV-2, and provide a reference for future studies.

Carmel Witte - One of the best experts on this subject based on the ideXlab platform.

  • spatiotemporal network structure among friends of friends reveals Contagious Disease process
    PLOS ONE, 2020
    Co-Authors: Carmel Witte, Laura L Hungerford, Bruce A Rideout, Rebecca Papendick, James H Fowler
    Abstract:

    Disease transmission can be identified in a social network from the structural patterns of contact. However, it is difficult to separate Contagious processes from those driven by homophily, and multiple pathways of transmission or inexact information on the timing of infection can obscure the detection of true transmission events. Here, we analyze the dynamic social network of a large, and near-complete population of 16,430 zoo birds tracked daily over 22 years to test a novel "friends-of-friends" strategy for detecting contagion in a social network. The results show that cases of avian mycobacteriosis were significantly clustered among pairs of birds that had been in direct contact. However, since these clusters might result due to correlated traits or a shared environment, we also analyzed pairs of birds that had never been in direct contact but were indirectly connected in the network via other birds. The Disease was also significantly clustered among these friends of friends and a reverse-time placebo test shows that homophily could not be causing the clustering. These results provide empirical evidence that at least some avian mycobacteriosis infections are transmitted between birds, and provide new methods for detecting Contagious processes in large-scale global network structures with indirect contacts, even when transmission pathways, timing of cases, or etiologic agents are unknown.

Norbert Schwarz - One of the best experts on this subject based on the ideXlab platform.

  • risk overgeneralization in times of a Contagious Disease threat
    Frontiers in Psychology, 2020
    Co-Authors: Spike W S Lee, Julie Y Huang, Norbert Schwarz
    Abstract:

    People’s assessment of risks is swayed by their current feelings. COVID-19 invokes powerful feelings because it is (i) a salient, enormous threat, (ii) unfamiliar, and (iii) intertwined with xenophobia. These three factors are known to exert predictable influence on people’s risk overgeneralization, policy preference, and sociopolitical attitudes. We provide a succinct, illustrative review of empirical work on these dynamics in times of a Disease outbreak (e.g., the 2009 H1N1 swine flu, the 2014 Ebola). Theoretical and applied implications for the present COVID-19 pandemic include the value of salience in motivating public opinion change, the importance of reducing unfamiliarity for curbing risk-averse tendencies, and the need for policies that guard against xenophobia-driven racism in collaborative efforts.

James H Fowler - One of the best experts on this subject based on the ideXlab platform.

  • spatiotemporal network structure among friends of friends reveals Contagious Disease process
    PLOS ONE, 2020
    Co-Authors: Carmel Witte, Laura L Hungerford, Bruce A Rideout, Rebecca Papendick, James H Fowler
    Abstract:

    Disease transmission can be identified in a social network from the structural patterns of contact. However, it is difficult to separate Contagious processes from those driven by homophily, and multiple pathways of transmission or inexact information on the timing of infection can obscure the detection of true transmission events. Here, we analyze the dynamic social network of a large, and near-complete population of 16,430 zoo birds tracked daily over 22 years to test a novel "friends-of-friends" strategy for detecting contagion in a social network. The results show that cases of avian mycobacteriosis were significantly clustered among pairs of birds that had been in direct contact. However, since these clusters might result due to correlated traits or a shared environment, we also analyzed pairs of birds that had never been in direct contact but were indirectly connected in the network via other birds. The Disease was also significantly clustered among these friends of friends and a reverse-time placebo test shows that homophily could not be causing the clustering. These results provide empirical evidence that at least some avian mycobacteriosis infections are transmitted between birds, and provide new methods for detecting Contagious processes in large-scale global network structures with indirect contacts, even when transmission pathways, timing of cases, or etiologic agents are unknown.

Lisheng Wang - One of the best experts on this subject based on the ideXlab platform.

  • review of the 2019 novel coronavirus sars cov 2 based on current evidence
    International Journal of Antimicrobial Agents, 2020
    Co-Authors: Lisheng Wang, Yiru Wang, Qingquan Liu
    Abstract:

    COVID-19, the Disease caused by SARS-CoV-2, is a highly Contagious Disease. The World Health Organization has declared the ongoing outbreak to be a global public health emergency. Currently, the research on SARS-CoV-2 is in its primary stages. Based on current published evidence, this review systematically summarizes the epidemiology, clinical characteristics, diagnosis, treatment and prevention of COVID-19. It is hoped that this review will help the public to recognize and deal with SARS-CoV-2, and provide a reference for future studies.