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.
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.
There is a significant gap in data concerning the patterns and drivers of transactional sex, sexual exploitation, and abuse in transactional sex and their implications on the sexual and reproductive health and rights of refugees.
Although gender-based violence (GBV) is endemic globally, some of the highest rates in the world are found in Muslim-majority countries where conservative interpretations of Islamic Family Law persist.
Democratic transformations in the Arab world have reignited debate around the need for more inclusive political systems where the rights of different ethnic and religious groups are a priority in the transition period.
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.