My first preprint, "Hidden heterogeneity and its influence on dengue vaccination impact," aka is now @medrxivpreprint! 1/10 https://twitter.com/medrxivpreprint/status/1173701181471956993

This work in @ndeckinstitute #PerkinsLab w @TAlexPerkins was a big part of my undergrad @NotreDame as an @NDBios major 2/10

I also got to present versions along the way @KelloggInst and @ASTMH annual meeting in #NOLA w support from @ND_CUSE 3/10

This preprint is about #Dengvaxia, a vaccine known to put ppl who have never had dengue at risk of more severe dengue when they get the virus 4/10

We wanted to understand the consequences of vaccinating a population where some people had lots of dengue before and others had not . E.g. high-risk and low-risk neighborhoods in a city 5/10

And policy makers! 10b/10

An exciting new addition to this thread, the official published version! Very excited to have had this published in Infectious Disease Modeling. Thanks again to @TAlexPerkins!!

https://doi.org/10.1016/j.idm.2020.09.008

We addressed this question using a modified SIR differential equations model coded in #rstats & deposited our code on @github https://github.com/mwalte10/intra-urban_dengue_vaccination_impact 6/10

We found that models that ignore diffs between high-risk and low-risk areas underestimate #Dengvaxia’s impact *IF* it is targeted to those who could benefit from it the most 7/10

We also found that models that ignore diffs between high-risk and low-risk areas may overestimate #Dengvaxia’s impact for vaccinated people living in low-risk areas 8/10

This could put vaccinated people living in low-risk areas at greater risk of severe disease is serological screening is not highly specific 9/10