Published: 14 January 2022A twenty-year-old idea from network science is that vaccination campaigns would be more effective if high-contact individuals were preferentially targeted. Implementation is impeded by the ethical and practical problem of differentiating vaccine access based on a personal characteristic that is hard-to-measure and private. Here, we propose the use of occupational category as a proxy for connectedness in a contact network. Using survey data on occupation-specific contact frequencies, we calibrate a model of disease propagation in populations undergoing varying vaccination campaigns. We find that vaccination campaigns that prioritize high-contact occupational groups achieve similar infection levels with half the numb...
International audienceEmpirical data on contacts between individuals in social contexts play an impo...
A novel statistical model based on a two-layer, contact and information, graph is suggested in order...
Published on 18 May 2020Two decades ago network scientists proposed that infectious diseases may be ...
Published: 14 January 2022A twenty-year-old idea from network science is that vaccination campaigns ...
Recent studies have proposed network interventions for reducing the propagation of COVID-19. By rest...
When vaccines are limited, prior research has suggested it is most protective to distribute vaccines...
Background: Network-based interventions against epidemic spread are most powerful when the full netw...
Decreasing the number of people who must be vaccinated to immunize a community against an infectious...
Infectious diseases are still a major global burden for modern society causing 13 million deaths ann...
Personal contact networks that represent social interactions can be used to identify who can infect ...
<div><p>Decreasing the number of people who must be vaccinated to immunize a community against an in...
Daniel M. Cornforth is with UT Austin, Timothy C. Reluga is with Pennsylvania State University, Eunh...
<div><p>Influenza vaccination is the primary approach to prevent influenza annually. WHO/CDC recomme...
Abstract: Our study utilizes network science to examine how uneven vaccine distribution affects mas...
Motivated by the increasing number of COVID-19 cases that have been observed in many countries after...
International audienceEmpirical data on contacts between individuals in social contexts play an impo...
A novel statistical model based on a two-layer, contact and information, graph is suggested in order...
Published on 18 May 2020Two decades ago network scientists proposed that infectious diseases may be ...
Published: 14 January 2022A twenty-year-old idea from network science is that vaccination campaigns ...
Recent studies have proposed network interventions for reducing the propagation of COVID-19. By rest...
When vaccines are limited, prior research has suggested it is most protective to distribute vaccines...
Background: Network-based interventions against epidemic spread are most powerful when the full netw...
Decreasing the number of people who must be vaccinated to immunize a community against an infectious...
Infectious diseases are still a major global burden for modern society causing 13 million deaths ann...
Personal contact networks that represent social interactions can be used to identify who can infect ...
<div><p>Decreasing the number of people who must be vaccinated to immunize a community against an in...
Daniel M. Cornforth is with UT Austin, Timothy C. Reluga is with Pennsylvania State University, Eunh...
<div><p>Influenza vaccination is the primary approach to prevent influenza annually. WHO/CDC recomme...
Abstract: Our study utilizes network science to examine how uneven vaccine distribution affects mas...
Motivated by the increasing number of COVID-19 cases that have been observed in many countries after...
International audienceEmpirical data on contacts between individuals in social contexts play an impo...
A novel statistical model based on a two-layer, contact and information, graph is suggested in order...
Published on 18 May 2020Two decades ago network scientists proposed that infectious diseases may be ...