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Punya Alahakoon

@punya-alahakoon.bsky.social
55 followers 71 following 1 posts

Postdoc at the Pandemic Sciences Institute, University of Oxford. Interested in infectious disease modelling, statistical inference, and public health

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Reposted by Punya Alahakoon
James Hay @jameshay.bsky.social · 25/11/2025
H3N2 preprint: there are concerns of a severe incoming influenza season due to the drifted H3N2 K clade. We at @psioxford.bsky.social analysed epi data and ran scenario models to see what we could discern about K clade transmission dynamics: zenodo.org/records/1770.... (1/18)
zenodo.org
Evaluation of the epidemiological outlook of the influenza A/H3N2 clade K in England during the 2025-26 season
Key findings England is currently experiencing a high growth rate of infections caused by the influenza A/H3N2 K clade. Antigenic change from the previously dominant clade, a rapid selective sweep evi...
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Punya Alahakoon @punya-alahakoon.bsky.social · 07/07/2025
New preprint! We use pooled Ct values from mosquito surveillance to estimate West Nile virus prevalence—without binarising the data. Joint work with Ian Marchinton, Joseph R. Fauver & James Hay. Check it out: www.biorxiv.org/content/10.1...
biorxiv.org
Tracking West Nile virus dynamics using viral loads from trapped mosquitoes
West Nile virus (WNV) persists in an enzootic cycle between birds and mosquitoes. Human infections are incidental and usually sub-clinical with some cases of neuroinvasive disease. Mitigation relies on surveillance to guide decision making, including RT-qPCR testing pools of mosquitoes. Cycle threshold (Ct) values from these pools\---|semi-quantitative proxies for viral load\---|are binarised to estimate WNV prevalence in mosquitoes as a proxy for human risk. We showed that Ct value variation in Colorado and Nebraska (2022-2024) cannot be explained by laboratory factors, suggesting a role for biological and epidemiological mechanisms. We developed a multiscale model linking pooled Ct values to mosquito viral kinetics, bird-to-mosquito transmission, and seasonal force of infection. A novel method estimating WNV prevalence using pooled Ct values outperformed existing approaches at high prevalence. We demonstrate the importance of treating environmental viral load samples as quantitative, as binarising masks key information for arbovirus surveillance and risk mitigation. ### Competing Interest Statement The authors have declared no competing interest. Wellcome Trust Early Career Award, grant 225001/Z/22/Z UNMC VCR
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