A massive thanks to all the people involved in this project! @bdurovni @valsaraceni @katieanders99 @hsalje and many others! (🧵5/5)

Interestingly, reduced wMel introgression occurred in places where dengue and chikungunya incidence were historically high. It was also lower during the hottest periods of the year. (🧵4/5)

This allowed insights into the relationship between the level of wMel introgression and the associated reduction in transmission. (🧵3/5)

From 2017 to 2019, 67 million #wMel infected mosquitoes were released and levels of introgression were monitored using traps. Combining trapping data with geocoded case surveillance data, we built a #spatiotemporal model to assess the impact of the program. (🧵2/5)

Our paper is out!! We assessed the impact of the large #Wolbachia release program in Rio #Brazil. Despite incomplete Wolbachia penetration into the wild mosquito populations, there was a 38% reduction in #dengue and a 10% reduction in #chikungunya (🧵1/5)

Excited to see our paper out in Microbial Genomics @micgenomics where we describe the genetic background of expanding and receding pneumococcal serotypes after vaccination in healthy children in Cambodia. https://t.co/cAELDaJmCI

Thanks to @hsalje, @isabelrodbar, @datcummings, @HuangAngkanaT, and others. (🧵6/6) @PDGCambridge, @Cambridge_Uni

This effect disappears when we look at individuals living in different homes, even ones nearby. After accounting for age, most of the variance in seropositivity is explained by household-specific effects. (🧵5/6)

We found that individuals were more likely to be seronegative if they lived with a seronegative household member, even when separated by up to 15y in age. (🧵4/6)

We found that nearly all individuals over 30y were seropositive. On average, 12% of the susceptible population gets infected annually but only 1.3% of infections get picked up by the national surveillance system. That’s a huge hidden infection burden. (🧵3/6)

We tested blood from multigenerational households for antibodies against dengue virus. Combining this with information about the participants' homes allowed us to estimate the impact of different factors on risk of infection. (🧵2/6)

I’m excited to share work exploring drivers of #dengue infection in Kamphaeng Phet #Thailand using #seroprevalence data. Key finding is that in these highly endemic places, your household rather than your local community drives infection risk. (🧵1/6)