Charin Modchang
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charinmodchang.bsky.social
Charin Modchang
@charinmodchang.bsky.social
Epidemiology, biophysics, data science & modelling. Working at Mahidol University, Thailand. Views are my own.

More info: https://www.modchang.me
Unraveling the drivers of leptospirosis risk in Thailand using machine learning

Our new study: journals.plos.org/plosntds/art...
Unraveling the drivers of leptospirosis risk in Thailand using machine learning
Author summary Leptospirosis, a disease caused by Leptospira bacteria, poses a significant public health challenge in Thailand. The bacteria thrive in contaminated environments, particularly those ass...
journals.plos.org
October 26, 2025 at 2:10 PM
Reposted by Charin Modchang
Please share!

Amazing opportunity at @mcgill.ca

We are looking to recruit an internationally recognized, interdisciplinary scientist with a strong track record in innovation and research to direct a new program in climate, environment, and health

mcgill.wd3.myworkdayjobs.com/en-US/McGill...
July 17, 2025 at 10:38 AM
Reposted by Charin Modchang
Just few days left to apply to one of these postdoc positions in my infectious disease modelling Unit at @pasteur.fr in Paris!
June 23, 2025 at 5:24 AM
Reposted by Charin Modchang
🚨 Our latest paper is out today in @natcomms.nature.com

Surveillance of avian influenza through bird guano in remote regions of the global south to uncover transmission dynamics

www.nature.com/articles/s41...
Surveillance of avian influenza through bird guano in remote regions of the global south to uncover transmission dynamics - Nature Communications
Highly pathogenic avian influenza is an increasing global concern but its distribution in remote regions is not known. Here, the authors conduct an environmental influenza surveillance study in remote...
www.nature.com
May 27, 2025 at 11:48 PM
Reposted by Charin Modchang
🦜💩 Bird poo surveillance reveals global flu hotspots

A new study tracked avian influenza by analysing bird guano in 10 countries. It uncovered high H5N1 diversity, signs of antiviral resistance, & early circulation of strains later found in humans.

🔗 doi.org/10.1038/s414...

#SciComm #BirdFlu 🧪
Surveillance of avian influenza through bird guano in remote regions of the global south to uncover transmission dynamics - Nature Communications
Highly pathogenic avian influenza is an increasing global concern but its distribution in remote regions is not known. Here, the authors conduct an environmental influenza surveillance study in remote...
doi.org
May 29, 2025 at 4:58 PM
🚨 Our latest paper is out today in @natcomms.nature.com

Surveillance of avian influenza through bird guano in remote regions of the global south to uncover transmission dynamics

www.nature.com/articles/s41...
Surveillance of avian influenza through bird guano in remote regions of the global south to uncover transmission dynamics - Nature Communications
Highly pathogenic avian influenza is an increasing global concern but its distribution in remote regions is not known. Here, the authors conduct an environmental influenza surveillance study in remote...
www.nature.com
May 27, 2025 at 11:48 PM
Reposted by Charin Modchang
🧵 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.
April 23, 2025 at 12:15 PM
Our new report on streptococcal toxic shock syndrome in Japan.
May 16, 2025 at 2:26 AM
Our new study reveals streptococcus pyogenes persists seasonally in public environments across rural Japan, with peak concentrations in autumn/winter.

Environmental surveillance could be key to predicting outbreaks 👇

doi.org/10.1093/infd...
Streptococcus pyogenes surveillance through surface swab samples to track the emergence of streptococcal toxic shock syndrome in rural Japan
Japan recently experienced a record surge in streptococcal toxic shock syndrome (STSS). Our environmental surveillance study shows seasonal S. pyogenes pea
doi.org
May 14, 2025 at 2:13 PM
🧵 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.
April 23, 2025 at 12:15 PM
Reposted by Charin Modchang
Unraveling the drivers of leptospirosis risk in Thailand using machine learning https://www.medrxiv.org/content/10.1101/2025.03.19.25324284v1
March 21, 2025 at 5:58 AM
Reposted by Charin Modchang
Reposted by Charin Modchang
#mpox remains a public health emergency of international concern

The announcement follows the third meeting of the IHR Emergency Committee regarding the upsurge of mpox.

The Director-General concurred with the Committee’s advice.

More: bit.ly/4bgz4p3
February 27, 2025 at 1:28 PM
Reposted by Charin Modchang
AI is poised to accelerate understanding in infectious diseases, but its value needs to be demonstrated through close collaboration between research, industry, society, and policy.

Paper free to read: rdcu.be/eaxEw

Summary here: www.ox.ac.uk/news/2025-02...
Artificial intelligence for modelling infectious disease epidemics
Nature - This Perspective considers the application to infectious disease modelling of AI systems that combine machine learning, computational statistics, information retrieval and data science.
rdcu.be
February 20, 2025 at 10:13 AM
Reposted by Charin Modchang
Why epidemic assumptions can matter so much…

An ongoing scientific question about the early dynamics of COVID is precisely when the first wave peaked in the UK – when did infections themselves actually start declining?
February 18, 2025 at 2:29 PM
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.

👇
January 29, 2025 at 12:08 PM
Reposted by Charin Modchang
Welcome immigrants from X interested in science to the friendlier skies of @bsky.app, as documented by a new @nature.com survey (but you already knew that 😉)
"Bluesky is much better for science. There is much less toxicity, misinformation, and distractions."
www.nature.com/articles/d41...
January 24, 2025 at 3:22 PM
Reposted by Charin Modchang
WHO comments on United States announcement of intent to withdraw bit.ly/4hrbeJ7
January 21, 2025 at 10:38 AM
Reposted by Charin Modchang
Want to easily simulate plausible outbreak data for tutorials or testing methods? {simulist} is now on CRAN! epiverse-trace.github.io/simulist/ind...

⏳ Delay distributions
🏥 Population-wide or age-stratified risks
📊 Age-structured populations
📈 Time-varying CFR
📋 Vary case types and contact tracing
January 10, 2025 at 2:28 PM
Reposted by Charin Modchang
A new study finds ants best humans at tests of collective intelligence.

Learn more: scim.ag/4h2K0ID
January 3, 2025 at 2:25 PM
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
December 13, 2024 at 7:54 AM
Reposted by Charin Modchang
If you’ve just arrived on BlueSky and are interested in infectious disease modelling, these starter packs are for you. 👇 I update them regularly, but I am sure I’ve missed many colleagues so don’t hesitate to send suggestions!
Infectious Disease Modelling starter pack update! First pack is full so I created a second one. Pls keep on sending suggestions! (bio should contain experience relevant for this pack)
IDModelling pack 1: go.bsky.app/86Ao1a5
IDModelling pack 2 : go.bsky.app/2oBB7KX
Infectious Disease Modelling #IDModelling
Join the conversation
go.bsky.app
December 8, 2024 at 8:15 AM