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Impact of Degree Distribution on Transmission Rates in Serial Monogamy Models

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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Impact of Degree Distribution on Transmission Rates in Serial Monogamy Models

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  1. Lab Presentation Nikhil Gopal Sarah Roberts Monisha Sharma Angie Ulrich

  2. Transmission Rate

  3. Original Degree Distribution Effect of Degree Distribution Serial Monogamy, 20% isolates Susceptibles: green = F, orange = M. Infecteds: blue = F, red = M

  4. Effect of Degree Distribution: Incidence Serial Monogamy, 20% isolates Original Degree Distribution

  5. 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

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