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Crowdsourcing is becoming more and more powerful in the online community for
centralized knowledge, distributed work and micro-tasking. Project Antares, with the
Antares Matrix, emerges as a potential tool for decision-makers around the world to
make more informed and accurate decisions in regards to health care policies. This
study, based on Project Antares and a research design proposed by Professor
Villarroel, uses a crowdsourcing platform, Amazon Mechanical Turk, to assess the
differentials between urban and rural populations in low-income regions, namely in
what concerns their care about health, their access to health care and how they
prioritize five disease dimensions identified by Project Antares. Through the data
collected, we determine the differentials in the real needs and priorities as well as in
the care and access to health care of these two different groups and conclude about the
need to shorten the gap between the supply and demand of health care services in their
region. The study presents crowdsourcing as the future tool to fill the gap between the
demand and supply of health care services in low-income regions by providing
decision-makers specific, live and updated information on health care.