Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure Qiu H, Luo L, Su Z, Zhou L, Wang L, Chen Y2020
Major storms, rising tides, and wet feet: Adapting to flood risk in the Philippines Williams L, Arguillas MJB, Arguillas F2020
Malaria and meningitis under climate change: Initial assessment of climate information service in Nigeria Ayanlade A, Sergi C, Ayanlade OS2020
Malaria and the climate in Karachi: An eight year review Herekar F, Iftikhar S, Nazish A, Rehman S2020
Malaria patterns across altitudinal zones of Mount Elgon following intensified control and prevention programs in Uganda Siya A, Kalule BJ, Ssentongo B, Lukwa AT, Egeru A2020
Mapping heat-related risks in Northern Jiangxi Province of China based on two spatial assessment frameworks approaches Zheng M, Zhang J, Shi L, Zhang D, Pangali Sharma TP, Prodhan FA2020
Mapping human vulnerability to extreme heat: A critical assessment of Heat Vulnerability Indices created using Principal Components Analysis Conlon KC, Mallen E, Gronlund CJ, Berrocal VJ, Larsen L, O'neill MS2020
Mapping the global potential transmission hotspots for severe fever with thrombocytopenia syndrome by machine learning methods Miao D, Dai K, Zhao GP, Li XL, Shi WQ, Zhang JS, Yang Y, Liu W, Fang LQ2020
Mapping urban heat vulnerability of extreme heat in Hangzhou via comparing two approaches Liu X, Yue WZ, Yang XC, Hu KJ, Zhang W, Huang MY2020
Maternal exposure to cold spells during pregnancy is associated with higher blood pressure and hypertension in offspring later in life Li N, Cai L, Heizhati M, Wang L, Li M, Zhang D, Abulikemu S, Yao X, Hong J, Zou B, Zhao J2020
