[COVID-19 Forum Series] 09 APR 2020 (THU) | 16:00-17:30
HKU Urban & Transport Laboratory (Room 1025, 10/F, The Jockey Club Tower) for panel members.
Registered participants to join by Zoom (Prior registration will be required. Registration is now open via the HKU Event Management System (https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=69427) or by sending an email to email@example.com. )
This forum will feature speakers showcasing and sharing the stories behind some major GIS and online mapping platforms for COVID-19. Based on the challenges and lessons learnt, especially after SARS, the panel will focus on discussing map design factors concerning general perception, social impact, and policy implications. Key questions include: How to select appropriate dashboard designs? How to deal with variation in spatial scales? How to avoid creating panic in the community? And how to offer information to drive decision making? A 15-minute interactive session will be scheduled at the end of the forum for participants (joining by Zoom) to exchange with panel members.
Panel Members (in alphabetical order)
PROF PC Lai Professor, Department of Geography, The University of Hong Kong
PROF Becky PY Loo Head and Professor, Department of Geography, The University of Hong Kong (Chair and Convenor)
MR Kelvin Shum Senior Director, Technology & Planning, Esri China (Hong Kong) Limited
DR Paulina Wong Assistant Professor, Science Unit, Lingnan University of Hong Kong
On 11th March 2020, the World Health Organization has made “the assessment that COVID-19 can be characterized as a pandemic”1. In view of the public health risks, why and how Geography matters? Ever since the famous work of John Snow on tracing the cholera outbreak in London in 1854 through mapping, the importance of understanding the spatial spread of disease and its relationships with the built environment in cities has not diminished. The global transmission of 2019 novel coronavirus (COVID-19) is a harsh reminder of why and how geography matters. Disease spread concerns spatial proximity, transport connectivity and population mobility, taking into account physical barriers between locations and time factor. There is no better way than mapping to capture spatial variations in interaction and segregation to reflect disease movement in space