Public health emergencies stemming from infectious disease outbreaksis creating a serious threat to global health security. For example, climate changeand extreme weather events threaten to alter and affect geographic areas pertainingto disease vulnerability, such as greater risks of mosquito-borne diseases (dengue,malaria, yellow fever and Zika). The emergence of these disease outbreaks and theirinfluence globally has sparked a renewed attention on global health security and theapplication of location intelligence. Persistent outbreaks characterize a ânew normalâthat points to major deficiencies in preparedness, response and recovery initiatives.Malaria mosquito An. gambiae s.l., arabiensis s.s. and funestus s.s represent themain malaria mosquito vectors in sub-Saharan Africa. As reported in WHO (Jacobet al. in Open Remote Sensing 17:11â24, [1]), Malaria is a life-threatening diseasecaused by parasites that are transmitted to people through the bites of infected femaleAnopheles mosquitoes. It is preventable and curable. In 2019, there were an esti-mated 229 million cases of malaria worldwide. The estimated number of malariadeaths stood at 409,000 in 2019. Children aged under 5 years are the most vulner-able group affected by malaria; in 2019, they accounted for 67% (274,000) of allmalaria deaths worldwide. The WHO African Region carries a disproportionatelyhigh share of the global malaria burden. In 2019, the region was home to 94% ofmalaria cases and deaths. Sensemaking lies at the heart of location intelligence. Loca-tion intelligence is defined as the collection and analysis of geospatial data that are
