4 research outputs found
Impact of Indirect Contacts in Emerging Infectious Disease on Social Networks
Interaction patterns among individuals play vital roles in spreading
infectious diseases. Understanding these patterns and integrating their impact
in modeling diffusion dynamics of infectious diseases are important for
epidemiological studies. Current network-based diffusion models assume that
diseases transmit through interactions where both infected and susceptible
individuals are co-located at the same time. However, there are several
infectious diseases that can transmit when a susceptible individual visits a
location after an infected individual has left. Recently, we introduced a
diffusion model called same place different time (SPDT) transmission to capture
the indirect transmissions that happen when an infected individual leaves
before a susceptible individual's arrival along with direct transmissions. In
this paper, we demonstrate how these indirect transmission links significantly
enhance the emergence of infectious diseases simulating airborne disease
spreading on a synthetic social contact network. We denote individuals having
indirect links but no direct links during their infectious periods as hidden
spreaders. Our simulation shows that indirect links play similar roles of
direct links and a single hidden spreader can cause large outbreak in the SPDT
model which causes no infection in the current model based on direct link. Our
work opens new direction in modeling infectious diseases.Comment: Workshop on Big Data Analytics for Social Computing,201
Impact of indirect contacts in emerging infectious disease on social networks
Interaction patterns among individuals play vital roles in spreading infectious diseases. Understanding these patterns and integrating their impact in modeling diffusion dynamics of infectious diseases are important for epidemiological studies. Current network-based diffusion models assume that diseases transmit through interactions where both infected and susceptible individuals are co-located at the same time. However, there are several infectious diseases that can transmit when a susceptible individual visits a location after an infected individual has left. Recently, we introduced a diffusion model called same place different time (SPDT) transmission to capture the indirect transmissions that happen when an infected individual leaves before a susceptible individual’s arrival along with direct transmissions. In this paper, we demonstrate how these indirect transmission links significantly enhance the emergence of infectious diseases simulating airborne disease spreading on a synthetic social contact network. We denote individuals having indirect links but no direct links during their infectious periods as hidden spreaders. Our simulation shows that indirect links play similar roles of direct links and a single hidden spreader can cause large outbreak in the SPDT model which causes no infection in the current model based on direct link. Our work opens new direction in modeling infectious diseases. Keywords Social networks Dynamic networks Disease spreadin
Schistosomiasis and Human Immunodeficiency Virus in Men in Tanzania
Host-parasite interactio