1. Summer bootcamp of infectious disease modeling, 2018

The short course  is to take place from 1 August 2018 for 10 consecutive days. This call will remain open by the time 80 registrantions are received. First come, first served basis.

Here is the link to registration site.


Infectious disease modeling has yet to be fully practicalized in Asia. We have had to build up good academic foundations to support epidemiological modeling studies. Since 2013, we organizers have launched the research consortium of epidemiological modeling, calling all associated experts who are interested in modeling studies and conducting joint original studies, fund raising, and educational activities. We consider that offering young researchers a good training program is the highest priority. Successfully completing summer short courses from 2014-17, here we announce the call for participants for the fifth summer course, 2018.


We call for participants regardless of their academic background. There is no eligibility condition for academic qualifications, although the course contents assume that participants can understand and utilize high school mathematics including basic linear algebra. In the last three years, the expertise of participants ranged from applied mathematics, statistics, information science, physics, clinical medicine, veterinary medicine, public health, health science and nursing, life science, biology to liberal arts.


The short course is essentially designed for Master’s course graduate student level. However, in the last three years, participants included undergraduate students, full-time researchers, epidemiologists, physicians, veterinary physicians and public health practitioners.


It should be noted that the advanced course has been designed for researchers with experience in introductory epidemiological modeling. Announcement of the advanced course has yet to be publicly made.



1. Course contents

Name: Short course on mathematical modeling of infectious diseases

Organizer: Hiroshi Nishiura (Hokkaido University)

Venue: The Institute of Statistical Mathematics, Research Organization of Information and Systems


2. Dates: From August 1, 2018 to August 10 (no holiday; there will be lectures and practical training sessions both on weekdays and weekend days; Depending on individual groups, group work may also take place during nighttime)


3. Purpose: To offer an intensive short-term training opportunity of epidemiological modeling of infectious diseases. Through this opportunity, we aim to boost early career development and research communications among young researchers especially in methodological and practical aspects. The minimum goal for participants is to understand and critically appraise original modeling studies that are published in high-impact journals.


Course methods: Lectures (including interactive sessions), practical training sessions, and group work.


4. Language: English


5. Capacity: a maximum 80 participants (while we take 90 registrants).

Preferred condition: Because this event receives public support and the course is offered free of charge, we will prioritize participants who can attend the entire period of the course (for 10 days). Even provided that 100% participation is not possible, we request participants to attend more than 70% of the coursework. For those who cannot make it to come for 70% or more, please do not regard the automated confirmation of registration as the confirmation. Your registration will be handled as waiting list for any vacancy in this year.

Other expectations are that (i) we would like to accept only participants who will be working with enthusiasm on this subject and (ii) participants need the mathematical capacity of high school level. Participants do not have to be mathematically competent at all, but the course may not be suitable for those who are allergic to equations, such as allergic reactions to summation mark and integral sign: our course will have to come through it. In case you are unselected as participants to attend in 2018, you will be prioritized for registration in 2019.


7. Tuition fee: Free.

Participants are requested to cover the cost other than tuition fee, including accommodation, meal and transportation. The organizer does not offer any support or arrangement for your transportation or accommodation. There is a temporary lodging at the Institute of Statistical Mathematics, but for fairness for all participants, we do not offer that lodging for course participants.

Cooperation: Institute of Statistical Mathematics "School of Statistical Thinking" program

Co-sponsor for Co-Is (Planned): Japan Science and Technology Agency CREST project and Japan Agency for Medical Research and Development (AMED)

Lecturers (scheduled for line-up)

Hiroshi Nishiura

Jonathan Dushoff

Yiming Yang

Hisashi Inaba

Akira Sasaki

Kimihito Ito

Yoko Ibuka

Naoki Masuda

Andrey Akhmetzhanov

Hyojung Lee

Takehisa Yamamoto

Shinji Nakaoka

Nao Yamamoto

Toshiyuki Tsutsui

Gouhei Tanaka

Shingo Iwami

Tomoki Nakaya

Masaya Saito


Program (Provisional)

The short-term intensive course will last for 10 consecutive days, taking an advantage of using the weekend days. In addition, our time schedule allows participants to enjoy summer holidays (“Obon”) afterwards.


In the first week, participants will learn the basic concepts and model structure so that they can understand the importance of heterogeneity of transmission, interpret threshold theorems and derive the basic reproduction number on their own. In the second week, participants will study the application of mathematical models to actual infectious disease datasets. Many lectures are provided in morning sessions and practical sessions are held mostly in the afternoon. Special series lectures are also provided in the evening time, sharing research updates. Computer practice handles numerical calculation of a system and statistical estimation of unknown parameters. The practice sessions mostly uses Berkeley Madonna, Excel and R. Using the rest of time, group work session is used for being engaged in a single research subject in a group of 5-10 people. Presentation is held on the last day.


Week 1

Day 1: the concept of infectious disease epidemiology, natural history of infection, the definition of the basic reproduction number, special lecture (foreign instructor)

Day 2: herd immunity and vaccination, efficacy and effectiveness of vaccination, special lecture (foreign instructor)

Day 3: the age at infection and the basic reproduction number, group work, special lecture (foreign instructor)

Day 4: Estimating R0 from epidemic data, computer practice, special lecture (special lecturer)

Day 5: Estimation of R0 from endemic data, natural history of infection, computer practice, group work, special lecture (special lecturer)

Week 2

Day 6: age structure and network, estimation of the next generation matrix, back-calculation, group work, special lecture

Day 7: geographic expansion of models, the prediction of epidemic, computer practice

Day 8: dose-response model, the model of sexually transmitted infection and mosquito-borne diseases, computer practice, special lecture

Day 9: effective reproduction number, the model of effectiveness of isolation and quarantine, group work, special lecture

Day 10: school closure, computer practice, group work presentation

[GO TO Registration site]