This work formed part of my PhD with @drrachellowe.bsky.social and @adamjkucharski.bsky.social at @cmmid-lshtm.bsky.social and was part of a great collaboration with the National Environment Agency of Singapore, thanks to all co-authors!
16.12.2025 11:58 β π 2 π 0 π¬ 0 π 0
We also used this framework to estimate the impact of releases of Wolbachia-infected mosquitos on dengue transmission, finding that ~28% of dengue cases expected in 2023 were averted following an expansion of the Wolbachia release programme.
16.12.2025 11:58 β π 2 π 0 π¬ 1 π 0
We show that by incorporating information on changes in circulating dengue serotypes we can enhance the predictive ability of our forecasting model beyond climate data alone.
16.12.2025 11:58 β π 2 π 0 π¬ 1 π 0
In Singapore, dengue outbreaks are increasing in frequency and magnitude - climate-informed early warning systems can help to mitigate the impacts of these, but prediction of large outbreaks remains a challenge.
16.12.2025 11:58 β π 2 π 0 π¬ 1 π 0
Using over 20 years of weekly case, climate and serotype data, we found that risk of dengue was highest during El NiΓ±o conditions and in the first few years following a change in the dengue serotype circulating in the population.
16.12.2025 11:58 β π 5 π 2 π¬ 1 π 0
Great to collaborate with @chantalvogels.bsky.social, Afeez Sodeinde and their team on this comprehensive work looking at dengue virus & Wolbachia interactions, making the case for considering DENV genetic diversity when implementing Wolbachia-based control interventions - key findings below! π¦ π¦
26.09.2025 10:13 β π 4 π 1 π¬ 0 π 0
Reconciling heterogeneous dengue virus infection risk estimates from different study designs | PNAS
Uncovering rates at which susceptible individuals become infected with a pathogen,
i.e., the force of infection (FOI), is essential for assessing t...
No one best way to measure #infection risk in populations.
Cross-sectional sero: weak temporal signal, CXR, waning as we know. Extra care needed for longitudinal #serology as Ab kinetics and assay noise can mess up estimates by a lot. Cases can be powerful!
www.pnas.org/doi/10.1073/pnas.2411768121
01.01.2025 03:19 β π 14 π 6 π¬ 1 π 1
1/ π Thrilled to share our new study: Quantifying the impact of pre-vaccination titre and vaccination history on influenza vaccine immunogenicity π¦ π Published in Vaccine! link: authors.elsevier.com/a/1kD7x,60n7... with @adamjkucharski.bsky.social
05.12.2024 07:59 β π 20 π 7 π¬ 2 π 2
A great opportunity to work with an incredible team! You may even get to label some cryotubes (as pictured below)
22.11.2024 16:01 β π 4 π 0 π¬ 0 π 0
AI Pioneer, AI+Science, Professor at Caltech, Former Senior Director of AI at NVIDIA, Former Principal Scientist at AWS AI.
π©βπ» Postdoctoral Researcher at the Barcelona Supercomputing Center
π· R user
π Spatial epidemiology
π Dengue forecasting
π‘οΈ Climate-sensitive infectious diseases
π¦ Vector-borne diseases
π°οΈ Remote-sensing data
βοΈ Ethical research practices
Research Fellow working on malaria at Imperial College London
Interested in malaria transmission, within-host dynamics, PKPD modelling and malaria vaccines
Vector-borne disease modelling in humans, animals and plants at UKCEH (https://bsky.app/profile/ukceh.bsky.social). Currently working on mosquitoes π¦, ticks π·οΈ and Xylella fastidiosa π¦ .
An open-source pathogen sequence database dedicated to equitable sharing, transparent governance, & empowering global public health.
pathoplexus.org
Epidemiologist and Postdoctoral Research Fellow at the London School of Hygiene and Tropical Medcine. Interested in electronic health records, vaccines, infectious diseases, mental health, statistics and open research. She/her
Lecturer and Eric and Wendy Schmidt AI in Science Fellow @mrc-outbreak.bsky.social @ Imperial College London. Mathematical modelling of malaria, COVID-19 & humanitarian response.
Assistant Professor @ UC Berkeley Public Health
Director, Pandemic & Epidemic Threat Analysis Lab (PETAL)
https://publichealth.berkeley.edu/people/charles-whittaker
https://whittakerlab.com/
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Lecturer in Microbiology | He/Him | Medical Microbiology | Antimicrobial Resistance (AMR) | Genomic Epidemiology | Sexually Transmissible Infections | Bioinformatics | Public Health | Views are my own | Following β endorsing
Postdoctoral Researcher / University of Cambridge π©π»βπ¬
Postdoctoral researcher based at the University of Cambridge.
Associate Professor YaleEMD / YaleSPH. Studies π¦π¦ π§¬transmission, evolution, and emergence. PI of http://dengue-lineages.org. Will sequence for πΊ.
Lab website: https://grubaughlab.com/
Assistant Professor at Yale School of Public Health | Medical Entomology π¦ | Arbovirology π¦ | Genomics 𧬠| π³π± |
www.vogelslab.com
ID modeling / viral dynamics
Associate Research Scientist @ Yale School of Public Health Modeling Unit
PhD @ Melbourne Mathematical Biology Group
We are a cross-faculty team of researchers at the London School of Hygiene & Tropical Medicine focused on supporting and improving the health of everyone affected by #HumanitarianCrisis
π lshtm.ac.uk/crisescentre
Assistant Professor in infectious disease modeling at LSHTM
Current obsessions include wastewater surveillance π©, tool development for real-time outbreak response, forecasting, and nowcasting of infectious diseases
Epidemiology (infectious disease modelling) at
@cmmid-lshtm.bsky.socialβ¬
I get excited about collaborative science, science history, London, bread, tomatoes, and trees.
kathsherratt.github.io/kathsherratt
@WHO.int Collaborating Centre for infectious disease modelling. Follow us for research on pandemic preparedness, global health analytics, vaccines, therapeutics and pathogen genomic epidemiology @imperialcollegeldn.bsky.social
Professor at Imperial College London and University of Copenhagen. Academic council of Schmidt Science Fellows. Loves maths, biology and health!