In this article, we propose a stochastic network model for the spread of common sexually transmitted infections (STIs). The model expands the standard susceptible–infected–susceptible model by incorporating asymptomatic infected individuals—who are unaware that they are posing a health threat to themselves and the population—and individuals' behavioral preferences with regard to the use of protective measures during encounters. Behavioral preferences evolve according to a nontrivial mechanism accounting for the cost of using protection, the perceived risk, and persuasive effects due to sexual encounters with different-minded individuals. The disease spreads on a time-varying network of sexual contacts, generated using a mechanism inspired b...
Human networks of sexual contacts are dynamic by nature, with partnerships forming and breaking cont...
In this thesis we develop statistical and mathematical models to study different factors of relevanc...
Sexual contact patterns, both in their temporal and network structure, can influence the spread of s...
In this article, we propose a stochastic network model for the spread of common sexually transmitted...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
Sexually transmitted diseases (STD) modeling has used contact networks to study the spreading of pat...
HIV is a sexually transmitted infection (STI) whose transmission process is highly dependent on the ...
HIV is a sexually transmitted infection (STI) whose transmission process is highly dependent on the ...
Human networks of sexual contacts are dynamic by nature, with partnerships forming and breaking cont...
Human networks of sexual contacts are dynamic by nature, with partnerships forming and breaking cont...
In this thesis we develop statistical and mathematical models to study different factors of relevanc...
Sexual contact patterns, both in their temporal and network structure, can influence the spread of s...
In this article, we propose a stochastic network model for the spread of common sexually transmitted...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
In this paper, we propose a temporal model for the spreading of curable sexually transmitted infecti...
Sexually transmitted diseases (STD) modeling has used contact networks to study the spreading of pat...
HIV is a sexually transmitted infection (STI) whose transmission process is highly dependent on the ...
HIV is a sexually transmitted infection (STI) whose transmission process is highly dependent on the ...
Human networks of sexual contacts are dynamic by nature, with partnerships forming and breaking cont...
Human networks of sexual contacts are dynamic by nature, with partnerships forming and breaking cont...
In this thesis we develop statistical and mathematical models to study different factors of relevanc...
Sexual contact patterns, both in their temporal and network structure, can influence the spread of s...