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Illustration: Stephen Case
Until the end of June, Hong Kong was exceptionally successful in controlling the outbreak of Covid-19. But the sudden burst of new cases during July, taking the total from about 1,200 to more than 3,000, is very worrying.

In such a rapidly evolving situation, decisions about how to respond must be made very quickly, without the luxury of time to try out different strategies and see what works or what doesn’t. How, then, can we make sensible decisions about the introduction of new social restrictions or other public health interventions? We can learn from the successes and failures of policies elsewhere, but it is difficult to know whether particular measures will be as effective in Hong Kong.

In these circumstances, mathematical modelling of the pattern of disease transmission can be helpful in making predictions and decisions about the actions to take. This area of science is widely used, especially in the United States and Europe, to guide and monitor public health policy.

The Infectious Disease Modelling Group at City University has made a comprehensive computer model of the outbreak in Hong Kong, from which we can draw some conclusions about the third wave of infections, and make some predictions and recommendations about how to deal with it.

The pattern of the new cases suggests that the onset of the third wave was linked to infected individuals entering the city who were exempt from compulsory quarantine, and exacerbated by the relaxation of social distancing measures after June 19.
Many transmission clusters have been observed in the past few weeks, including groups of people living in the same housing estates or eating at the same restaurants. Identifying the source of infection for each new case, and then tracing everyone else who might have been exposed to that source, can be a very effective way of containing an outbreak.
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