😷 We also documented how COVID-19 disrupted leptospirosis surveillance in Thailand, with model performance declining during the pandemic (2020-2021) but recovering in 2022. This suggests significant underreporting during the pandemic years.

🌾 Surprisingly, we found that rice production factors were the strongest predictors of leptospirosis risk. Traditional farming practices appear more conducive to disease transmission compared to mechanized methods, highlighting agriculture's role in outbreak dynamics.

🦠 Leptospirosis poses a significant public health challenge in Thailand, with complex transmission patterns influenced by rice farming, climate, and socioeconomic conditions. Our XGBoost model achieved high predictive accuracy (AUC>0.93) in identifying high-risk provinces.

🧵 NEW PREPRINT: Our team has developed a machine learning model to predict leptospirosis outbreaks in Thailand by identifying key environmental and socioeconomic risk factors. This could lead to better early warning systems for this neglected tropical disease.

My colleagues in France are looking for a postdoc in modeling exposure to air pollutants based on daily human mobility.

Please feel free to contact them if you are interested.

👇

It's good to be at JITMM2024 and give two talks here.

It is such a great conference, gathering experts on Tropical Medicine from around the world.

Some of my talk slides here: dx.doi.org/10.13140/RG....

#JITMM2024 #Bangkok

Airborne transmission of H5N1 flu. This is not good news. www.nature.com/articles/s41...

The COVID-19 vaccination efforts in Thailand have saved > 300,000 lives and prevented > 1.6 million severe infections during the first two years of vaccination: www.mdpi.com/2414-6366/9/...

Bluesky now has over 10 million users, and I was #9,562,022!

That’s my number 🙂