Modelling Communicable Disease Dynamics and Control

 

Venue

Adya Hotel, Langkawi Island, Malaysia

Date

5 – 6 November 2017

Time

08:30 to 17:00

 

Organized by:

The 3rd International Conference on Computing, Mathematics and Statistics (iCMS2017), UiTM Kedah

 

ABOUT.  Over the last decade, the dramatic resurgence of communicable diseases warrants the need to understand its epidemiology, transmission pattern and control. Application of modern method in mathematical modelling helps to study transmission patterns and intervention strategies. This workshop is an introductory training to address the importance of mathematical modelling as an integrated field of infectious disease epidemiology and mathematical epidemiology as well as its applications to related diseases. Thus it is highly recommended to public health and pharmaceutical-industry professionals, policy makers, programme managers and infectious disease researchers.

 

WORKSHOP OBJECTIVES:

  • To introduce infectious disease epidemiology and its relation to the applications of mathematical modeling
  • To introduce the mathematical approach to the development of disease models
  • To discuss the latest development in the application of disease modeling via case studies

 

WHO SHOULD ATTEND?

  • Medical and health professionals
  • Policy makers and health programme managers
  • Medical / Bio statisticians
  • Researchers in communicable disease, infectious disease, public health or other health related fields
  • Mathematicians who wish to learn key biological concepts and how they are translated into modelling

 

Workshop content

  • Introduction to communicable diseases and epidemiology
  • Basic concepts in disease modelling
  • Introduction to mathematical modelling software
  • Understanding research question
  • Model parameters and optimization
  • Developing the model frame
  • Group poster presentation and appraisal

 

SPEAKERS

Professor Dr Nicolaas Jan Dirk Nagelkerke

Professor Nagelkerke obtained his PhD in biostatistics from the University of Amsterdam. The Nagelkerke coefficient of determination adopted by SAS and SPSS statistical packages in their logistic regression tools is attributed to Professor Nagelkerke’s work published in Biometrika. He has over 400 publications, mostly in international peer reviewed journals. Professor Nagelkerke is a biostatistician, an epidemiologist and a mathematical modeller with experience in teaching and research and statistical consultancy works in health related industry in Europe, Canada, Africa, Middle East and South East Asia. He has extensive experience in infectious diseases and epidemiological research and modelling, notably TB and HIV/AIDS. His collaboration works included with the Centre for Global Health Research (University of Toronto); WHO in West Africa (burden of disease of tuberculosis), and UNAIDS (mathematical modelling on HIV epidemics). He also did consultancies for the World Bank on mathematical modelling on the impact of antiretroviral therapy in India and on modelling the effects of DOTS(+) on TB control in the Russian Federation. He was attached, to name a few, with the Malawi-Liverpool Welcome Trust, Malawi; Institute of Public Health, United Arab Emirates University; Eramus Medical Center, Rotterdam; Medical Statistics Department of Leiden University; Royal Netherlands Tuberculosis Association; Netherlands National Institute of Public Health and the Environment; Nairobi University; Manitoba University and taught at the Cho Ray Hospital HCM City, Vietnam.

 

Associate Professor Dr Sanjay Rampal 

Dr. Rampal is a public health specialist and preventive medicine physician. He is an Associate Professor of Epidemiology and Biostatistics and heads the Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya. Dr Rampal was medically trained in India and served in the Ministry of Health Malaysia from 1998 to 2005. He improved his basic epidemiology and biostatistics knowledge by completing a MPH degree in 2004 from Harvard University and completed his PhD in Epidemiology from Johns Hopkins University in 2014. His research work focuses on the epidemiology and prevention of non-communicable diseases. His methodological interest includes improving causal inference, epidemiological designs, regression models, multiple imputations, measurement error, and propensity scoring. As of 2015, Dr Rampal has published 67 peer reviewed research papers, of which 53 are ISI indexed, and has an h-index of 15 with 3000+ citations. Dr Rampal is the chairman for the Public Health Society, Malaysian Medical Association, and is a member of various international associations such as International Epidemiology Association, American Heart Association/American Stroke Association, Society for Epidemiology Research. He is a Fellow of the Academy of Medicine Malaysia and was the past honorary secretary for the College of Public Health Medicine from 2006-2009. He is also the current State Medical Officer for Malaysian Red Crescent Society WP Putrajaya. 

 

Dr Nurhuda Ismail

Dr Nurhuda is a physician specialised in community medicine and communicable disease epidemiology. Currently, she is lecturing at the Discipline of Population Health & Preventive Medicine, Faculty of Medicine, Universiti Teknologi MARA. Dr Nurhuda completed her MD training at the Universiti Kebangsaan Malaysia and Master of Public Health (MPH) at the University of Malaya. She obtained her training certificate in infectious disease mathematical modelling from the London School of Hygiene and Tropical Medicine. Her doctoral thesis specializes in the Malaysian tuberculosis transmission dynamics and developing an age-structured deterministic mathematical model for potential impact assessment on early intervention strategies to curb the epidemic. Extended works on application of her mathematical model as a tool have gained recognition by both national and international stakeholders. Dr Nurhuda is also trained in Evidence-Based Medicine (EBM) from the Julius Centre University of Malaya, an AsiaLink Programme on Clinical Epidemiology & Evidence Based Medicine under the European Commission, the Centre for Evidence Based Medicine University of Oxford, United Kingdom, University Medical Centre Utrecht, Netherland and, Rumah Sakit Cipto Mangunkusomo, Jakarta, Indonesia. To date, she has designed and developed several training modules in mathematical modelling for healthcare and medical professionals. She has also secured several grants and involved actively in various government and industrial funded projects and published articles in national, regional and international journals. She is a member of the International Society for Infectious Diseases, The John Snow Society of Royal Society for Public Health and the Malaysian Thoracic Society.

 

WORKSHOP SCHEDULE

 

 

DAY 1

SUNDAY (05/11/2017)

 

DAY 2

MONDAY (06/11/2017)

8.15 – 8.45

 

REGISTRATION

 

REGISTRATION

8.45 – 10.00

 

INTRODUCTION TO COMMUNICABLE DISEASES & EPIDEMIOLOGY

 

UNDERSTANDING RESEARCH QUESTION

10.00 – 10.15

 

COFFEE BREAK AND DISCUSSION

 

10.15 – 11.30

BASIC CONCEPT IN DISEASE MODELLING 1

 

 

MODEL PARAMETERS AND OPTMIZATION

 

11.30 – 13.00

 

DEVELOPING THE MODEL FRAME

 

13.00 – 14.00

 

LUNCH AND DISCUSSION

 

14.00 – 15.30

 

BASIC CONCEPTS IN DISEASE MODELLING 2

 

 

GROUP POSTER PRESENTATION AND APPRAISAL

&

CONCLUSION

15.30 – 17.00

 

INTRODUCTION TO MATHEMATICAL MODELLING SOFTWARE

 

17.00

 

TEA BREAK AND DISCUSION

 

 

 

To register, please go to the registration page