With funding from IDRC, a research team from the Prospective Urban Rural Epidemiology (PURE) study, a large international population research effort coordinated by McMaster University’s Population Health Research Institute (PHRI), is studying why some people get COVID-19 and others do not.
“Rethinking Partnership Paradigms in Global Health” is the theme of the Canadian Conference on Global Health 2021 (CCGH 2021) taking place from November 24 to 26. It will be a hybrid event with most attendees attending virtually and small in-person sessions at the Delta Hotel in Ottawa.
In countries across Southeast Asia, poor and marginalized populations face a series of justice gaps due to poor awareness of their rights as well as barriers to accessing the complex, formalistic, slow, and expensive legal mechanisms to enforce those rights.
A number of countries and international organizations have stressed the need for integrated surveillance systems to comprehensively detect and monitor antimicrobial resistance (AMR), particularly in animal and environmental reservoirs.
According to the United Nations Economic and Social Commission for Asia and the Pacific, Southeast Asia has been experiencing more frequent climate-related disaster events and an exponential increase in annual deaths for the past thirty years.
Can artificial intelligence (AI) help predict COVID-19 outbreaks and ease lockdown restrictions? Can new innovations keep campuses open and support contact tracing? Can AI support victims of gender-based violence related to COVID-19 lockdowns? These are just some of the questions the CA$12.65 million Global South AI4COVID Response Program seeks to answer.
IDRC invests in evidence, innovations, and policies to improve health and prevent chronic diseases through healthier food systems in low- and middle-income countries—more than CA$20 million in support of over 35 projects.