Yuan Tian, Weiwei Cui, Dazhen Deng, Xinjing Yi, Yurun Yang, Haidong Zhang, Yingcai Wu
ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language
IEEE transactions on visualization and computer graphics
times epidemics humanitarian crises essential translate scientific findings digestible information government policy makers short time make critical decisions predict far fast disease would spread across hungary support epidemiological decisionmaking process multidisciplinary research team performed large amount scientific data analysis mathematical socioeconomic modeling covid19 epidemic hungary including modeling medical resources capacities regional differences gross domestic product loss impact closing reopening elementary schools optimal nationwide screening strategy various virusspreading scenarios r metrics ketlak prepared 2 extensive reports problems identified suggested solutions presented directly national epidemiological policymaking body findings provided crucial data government address critical measures regarding health care capacity decide restriction maintenance change actual testing strategy take regional economic social health differences account hungary managed first part covid19 pandemic low mortality rate times epidemics formation multidisciplinary research groups essential policy makers establishment research activity participation decisionmaking groups ketlak serve model countries researchers policy makers managing challenges covid19 future pandemics well