Impact of Degree Distribution on Transmission Rates in Serial Monogamy Models

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This presentation by Nikhil Gopal, Sarah Roberts, Monisha Sharma, and Angie Ulrich explores the effects of degree distribution on the transmission rate of infections in a serial monogamy context using a model with 20% isolates. The analysis indicates that a shorter duration of partnerships leads to faster infection spread owing to higher partner turnover rates. Additionally, increased transmission rates correlate with a quicker rise in prevalence among populations. Code for the analysis is available at http://github.com/ngopal/statnetWorkshop.

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Mar 18, 2014

1 degree distribution 2 transmission rates 3 serial monogamy 4 infectious disease 5 partner turnover 6 mathematical modeling 7 prevalence increase 8 epidemiological study text

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Impact of Degree Distribution on Transmission Rates in Serial Monogamy Models

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Lab Presentation Nikhil Gopal Sarah Roberts Monisha Sharma Angie Ulrich
Transmission Rate
Original Degree Distribution Effect of Degree Distribution Serial Monogamy, 20% isolates Susceptibles: green = F, orange = M. Infecteds: blue = F, red = M
Effect of Degree Distribution: Incidence Serial Monogamy, 20% isolates Original Degree Distribution

Thanks • Conclusions • Shorter duration = faster infection since higher partner turnover rate • Higher transmission rate = faster increase in prevalence • Some code available at http://github.com/ngopal/statnetWorkshop