Gayawan, Ezra, Adekunle, Adeshina, Pak, Anton, and Adegboye, Oyelola (2022) Statistical Approaches to Infectious Diseases Modelling in Developing Countries: A Case of COVID-19. In: Awe, O. Olawale, Love, Kim, and Vance, Eric A., (eds.) Promoting Statistical Practice and Collaboration in Developing Countries. CRC Press, Abingdon, England, pp. 557-581.

Preview

PDF (Published Version) - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (908kB) | Preview

Abstract

Essential skills required for both statistical consulting and collaboration are mostly informal and are rarely taught in the training institutions in developing countries. These critical skills constitute a significant missing gap and a major hindrance to the growth and development of capacity in statistics and data science practice in developing countries. The advent of LISA 2020 initiative is bridging this gap with a fast-growing network of “stat labs” spread across higher education institutions in Africa, India, Brazil and other parts of the world. This chapter will highlight how LISA 2020 Stat Labs (and other potential labs outside LISA 2020) engage in building capacity to improve informal statistical skills through training and collaborations. In addition, the chapter will review the activities and programs of the stat labs and the contributions being made to bring data science to bear on real-world problems. The chapter plans to draw out lessons that are unique and common to the different stat labs in the network.

Item ID:	73838
Item Type:	Book Chapter (Research - B1)
ISBN:	978-1-003-26114-8
Copyright Information:	© 2022 selection and editorial matter, O. Olawale Awe, Kim Love and Eric A. Vance; individual chapters, the contributors. Creative Commons, CC BY-NC-ND.
Date Deposited:	16 Sep 2022 06:11
FoR Codes:	42 HEALTH SCIENCES > 4206 Public health > 420699 Public health not elsewhere classified @ 30% 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320211 Infectious diseases @ 40% 49 MATHEMATICAL SCIENCES > 4905 Statistics > 490501 Applied statistics @ 30%
SEO Codes:	20 HEALTH > 2004 Public health (excl. specific population health) > 200499 Public health (excl. specific population health) not elsewhere classified @ 50% 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280118 Expanding knowledge in the mathematical sciences @ 50%
Downloads:	Total: 77 Last 12 Months: 13
	More Statistics