Towards Epidemiological Intelligence: modeling based analytics combating COVID-19
Webinar: https://yorku.zoom.us/j/98615589444?pwd=S1JYcVA0R291blBoZzBnRkhDdW56dz09
Also, see the announcement at http://cdm.yorku.ca/content/mathematics-and-covid-19
As the COVID-19 pandemic spreads rapidly around the globe, it becomes a challenging task to maintain control of other diseases. Some malaria-infected countries have suspended mass insecticide-treated net (ITN) campaigns, and therefore, which are considered the most important measure for malaria intervention and control across Africa in the last two decades, which may increase human biting rates, and malaria infections. We present a data-driven analytic method to assess ITN impacts because of COVID-19 on potential deteriorations of malaria transmission risk.
Xiao-Nong Zhou is Director of the National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention & Chinese Center for Tropical Diseases Research, and WHO Collaborating Centre for Tropical Diseases, based in Shanghai. He has been the Vice Chair of the Chinese Ministry of Health Expert Committee on Disease Control. He is a member of the Expert Consultancy Committee for the Healthy China Action and Promotion Committee; Chair of the Society of Medical Parasitology, Chinese Preventive Medicine Association; Vice Chair of the Society of Global Health, Chinese Preventive Medicine Association.