We analyze the spread of sexually transmitted infections in an environment where individuals search for a sexual partner and, when found, cannot verify whether his partner is infected. Decisions are based on a variety of factors including the proportion infected, the likelihood of safe sex, the rate of detection and treatment, the cost of infection, and the length of search. The model demonstrates how directed search induces a separating equilibrium and, as a result, supports empirical evidence demonstrating the importance of sero-sorting. Furthermore, the model reinforces arguments that decreasing the costs of infection increases the infection rate. The model is calibrated, and the policy implications are analyzed within the context of men who have sex with men.
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 November 2012.
All research outputs
#27,337,619
of 33,953,699 outputs
Outputs from Health economics (Online)
#2,722
of 2,839 outputs
Outputs of similar age
#281,187
of 345,568 outputs
Outputs of similar age from Health economics (Online)
#15
of 16 outputs
Altmetric has tracked 33,953,699 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,839 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
