News/Activities

Postdoctoral positions in mathematical/statistical modelling of epidemics at Institut Pasteur, Paris Institut Pasteur in Paris is currently recruiting post-doctoral researchers who will contribute to various mathematical modelling projects with the institute’s infectious diseases unit. There are various new projects that these postdocs will work on, with themes such as AI to strengthen epidemic preparedness, syndromic surveillance, modelling the spread of COVID, RSV and influenza in France, modelling mosquito-borne disease risk with Institut Pasteur Cambodia, and modelling chains of transmission of plague in Madagascar with Institut Pasteur Madagascar. Please read the job description below. For more information, please reach out to Laurence Boutout (Laurence.boutout@pasteur.fr) and Simon Cauchemez (simon.cauchemez@pasteur.fr). Job description We are recruiting postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The candidates will be expected to work with and develop state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. Recruited postdocs will work on one of the new projects starting in the Unit, including i) using AI to strengthen epidemic preparedness, ii) the development of models evaluating how the combination of different surveillance systems (e.g. syndromic and virologic surveillance, random testing, wastewater, hospital surveillance) may help optimize epidemic monitoring, iii) modelling and comparing the patterns of spread of COVID-19, influenza and RSV by age group in France, from new comprehensive community surveillance system RELAB, iv) studying and modelling the dynamics of antibodies following mosquito bites and exploring implications for the monitoring of mosquito born disease ...
Read more

   Infectious disease epidemiology and modelling short course, 7/28-8/4 July 28 - Aug 4, 2025, Nagasaki, Japan Tuition fee: none Website: https://dida.nagasaki-u.ac.jp/en/nsc-topics/1567/ As the COVID-19 pandemic has highlighted, expertise in infectious disease epidemiology is attracting greater attention in today’s global health. Infectious disease epidemiology is a highly specialised domain that handles ‘dynamics’—the source of all the uniqueness of this subject. This introductory course will explore basic ideas and principles in infectious disease epidemiology. Where necessary, mathematical models will be used to guide understanding of the dynamical nature of outbreaks. The course is NOT designed to train you as a modeller, but to rather equip you with languages to communicate/collaborate with them in your future career. Interest, not skills, in use of math for epidemiology is a prerequisite. Date and Time (detailed timetable TBA): 7/28 (Mon.)            12:50-17:40 7/29 (Tue.)             10:30-17:40 7/30 (Wed.)            10:30-17:40 7/31 (Thu.)              10:30-17:40 *18:00- Networking event 8/1 (Fri.)                  10:30-17:40 8/4 (Mon.)                8:50-12:00 Venue: 1F room L, Global Health General Research Building, Sakamoto Campus, Nagasaki University Target audience: Students and staff affiliated with AMED-SCARDA Centre universities (Nagasaki U, Hokkaido U, UTokyo, Chiba U, Osaka U) and support institutions* interested in infectious disease epidemiology and/or modelling. External participants may also be invited (contact organiser). *Anyone affiliated with these intuitions are eligible, regardless of involvement with the SCARDA programme Course format: In-person lectures and group work. Lecturers: Akira Endo (Nagasaki University/National University of Singapore), Fuminari Miura (NU/National ...
Read more

We are delighted to announce that applications for the MORU–OUCRU Discovery Research Academy (MODRA) are now open from 3rd March to 25th April 2025. MODRA is a 18-month programme designed to support early- to mid-career postdoctoral researchers in South and Southeast Asia in securing competitive research funding and advancing their careers in global health and infectious diseases. Through expert-led training, personalised mentorship, and funding support, participants will develop essential skills in grant writing, project management, leadership, and more. Eligibility & Application Applicants must: Be nationals of Bangladesh, Cambodia, Indonesia, Laos, Myanmar, Nepal, Thailand, or Vietnam Hold a PhD and be at an early- to mid-career stage in infectious diseases or global health research Be affiliated with a research institution and committed to full participation To apply, complete the online application at www.modracademy.org and submit supporting documents, including a cover letter, CV, proof of English proficiency, and a supporting letter from your line manager. We encourage you to start preparing your application and to share this opportunity with colleagues who may benefit from the programme. For further details, please visit www.modracademy.org or contact Dr Leigh Jones at leigh.jones@ndm.ox.ac.uk. We look forward to welcoming a new cohort of talented researchers to MODRA ...
Read more

About The Congress. The 21st International Congress for Tropical Medicine and Malaria (ICTMM2024) will be held at the Borneo Convention Centre Kuching, Sarawak, Malaysia. ICTMM is one of the largest tropical medicine congresses in the world, bringing together thousands of researchers, experts, policymakers, stakeholders, and international authorities in the field of tropical medicine and malaria. For more information, please visit: https://ictmm2024.org/ ...
Read more

Registration and Abstract Submission are now open! You can now register for JITMM 2024! We offer various registration options including discounted rates for students and participants from ASEAN and LMICs. Early bird discounts are available until 31 October 2024. Check our registration rates at https://jitmm.com/Home/displayContent?cpID=12 To register, create an account or log in at www.jitmm.com  With the theme, “Advancements in Tropical Medicine: On the Horizon”, JITMM 2024 will peek into the future of tropical medicine research by highlighting the latest breakthroughs and innovations in tackling tropical diseases. We invite researchers, scientist, students, and health practitioners to submit their abstracts and present their research at the global stage! The deadline for abstract submission is on 15 September 2024. Read our submission guidelines for more information. Call for Young Investigator Awards application Students and postdoctoral researchers are invited to apply for the Young Investigator Awards. Applicants with outstanding research will present in the Young Investigator Awards session. The application closes on 15 September 2024. Read the eligibility criteria and application process here ...
Read more

Join us for the Infectious Disease Modelling Conference 2024 (IDM 2024), which will be held in person only at Millennium Hilton Bangkok, Thailand, from 6-8 November 2024. Please visit for more information: https://idmconference.net Background: The Infectious Disease Modelling Conference 2024 places a special emphasis on infectious disease modelling that informs health policymaking. This three-day conference provides a unique platform to share the latest ideas, data, methods, models and insights with academics, researchers, health professionals and policymakers worldwide, with a focus on addressing the specific challenges faced by low- and middle-income countries (LMICs). Key Objectives: 1. Latest Development in Infectious Disease Modelling: Highlight cutting-edge research, methodologies, and breakthroughs that shape our understanding of infectious disease dynamics. 2. Policy Relevance: Engage policymakers in evidence-based discussions to inform public health decisions. Bridge the gap between research and practical implementation. 3. Strengthening LMIC Capacity: Explore strategies to enhance infectious disease modeling capabilities in LMICs, considering resource constraints and unique epidemiological contexts. Empower researchers and practitioners in these regions. 4. Region-Specific Challenges: Discuss modeling approaches that account for the diverse population structure, urbanization, and cultural factors prevalent in specific geographical regions and contexts. 5. Equitable Access to Modeling Tools: Promote the adoption of methodologies and share best practices to ensure that all countries can benefit from advanced infectious disease modeling development. Conference Highlights: Research Studies: Engage with presentations on disease modeling efforts, where experts will share their latest findings, highlight successes, discuss challenges, and delve into valuable lessons learned. Panel discussion: Researchers and policymakers will share ...
Read more

MIDSEA Council, in partnership with Temasek Foundation, would like to extend our invitation to you to our 8th session of the 2023/2024 webinar series. In this session, Mr Kwok Wei Hao from the National Centre for Infectious Diseases in Singapore would be sharing his experience in The potential use of DAEDALUS for Singapore to optimize social and economic activity during a pandemic. We hope you could join us on Wed, 17 July 2024, 2pm SGT (Time Zone Conversion). Appended below is the programme and details of registration. You are welcome to share this invitation with your network to join this dialogue. The registration link is https://nus-sg.zoom.us/meeting/register/tZctfu-opzsoHtGg86a559UoRqxWgEPIWxnn Please use an email that has been previously registered with Zoom to register. For any queries, please feel free to contact Barathi (Barathi.vadivelu@nus.edu.sg ) ...
Read more

Mathematical Modelling of Infectious Diseases  Date: 12 August – 22 August 2024 Venue: University of Cape Town Course fee: ZAR 11,500 Requirements: Basic skills in R and epidemiology The Modelling and Simulation Hub, Africa (MASHA) at the University of Cape Town will be hosting a two week short course on the Mathematical Modelling of Infectious Diseases. The COVID-19 pandemic has highlighted the importance of mathematical disease modelling as an invaluable tool to aid decision-making in public health policy. There is a need for analysts equipped with this skillset, particularly on the African continent. This short course will focus on the application of mathematical modelling and computer simulation to predict the dynamics of infectious diseases to evaluate the potential impact of policy in reducing morbidity and mortality. Topics covered include compartmental models, spatial models, economic evaluation methods and more. The course is practically focused along with a series of lectures, discussions and practical exercises. This course is aimed at postgraduate students in Science and Health Sciences faculties and health-based researchers interested in the field of mathematical modelling for infectious diseases and public health policy. In order to leverage the interactive nature of the course, participation is in-person and the course capacity is limited to 20. Note: UCT Students wishing to attend this course in lieu of a Masters Module will need to register for STA5066Z offered by the Department of Statistical Sciences. Please indicate this on the application form. The course fee covers registration and lunch only. Accommodation and other meals will be ...
Read more

In our new Strategic Modelling for Public Health Policy Training Programme, we will be running our next course, Infectious Disease Modelling in Context: Introduction, from 7 June 2024 to 5 July 2024. This course provides a practical introduction to the mathematical modelling of infectious diseases. Throughout the course we will guide the students through the process of building a model suited to address a research/policy question, developing, and implementing the model in mathematical and code forms, and interpreting the short- and long-term dynamics produced. This course will include sessions on the critical steps needed to communicate both the model-building process and output of mathematical modelling to specialists and non-specialists alike. The course is aimed at entry-level modellers, those who are exploring a career in modelling, or those in related professions who wish to know more about the discipline. For further details on the course and to sign up please visit our website: Training (como-international.github.io) If you have any queries please email tracy.evans@ndm.ox.ac.uk ...
Read more

Key highlights of the MIDSEA Summer School include: 1.⁠ ⁠Comprehensive Curriculum: The curriculum has something for everyone. In addition to core classes on the fundamentals of infectious disease modelling, students will take specialised tracks in one of inferential methods, simulation, modelling interventions, spatial methods, or for those who are beginners, a continuation of the fundamentals of transmission dynamic modelling. 2.⁠ ⁠Distinguished Faculty: Participants will have the privilege of learning from renowned experts and scholars who are leaders in their respective fields. 3.⁠ ⁠Interactive Workshops: Engage in practical exercises and interactive workshops designed to enhance your understanding and skills in ⁠ ⁠Good Coding Principles ⁠ ⁠Communications and Writing ⁠ ⁠Leadership, Mentorship, Professionalism and Self 4.⁠ ⁠Networking Opportunities: Connect with peers and mentors from around Southeast Asia and beyond, fostering collaboration and knowledge exchange. 5.⁠ ⁠The chance to present your work at the attached symposium and poster session. 6.⁠ ⁠Certificate of Participation: Upon successful completion of the program, participants will receive a certificate. Whether you are a student, researcher, or professional looking to expand your knowledge and expertise, the MIDSEA Summer School offers a valuable opportunity to develop your modelling skills. For more information, including registration details and program updates, please visit our website at www.midsea.network or contact us directly at Ms Barathi Vadivelu (rathi_15@nus.edu.sg). We look forward to welcoming you to the MIDSEA Summer School. Warm regards, Professor Alex Cook Chair of MIDSEA Network For those who want to learn more about modelling. Scholarships are available but limited. Please apply by ...
Read more