Geographic Information Science (GIS) had established itself as a distinct domain and incredibly useful whenever the research is related to geography, space, and other spatio-temporal dimensions. However, the scientific landscape on the integration of GIS in the COVID related studies is largely unknown. In this systematic review, we assessed the current evidence on the implementation of GIS and other geospatial tools and technologies in COVID-19 pandemic. We systematically retrieved and reviewed 79 research articles that either directly used GIS or other Geospatial tools as part of their analysis. We grouped the identified papers under six broader thematic groups based on the objectives and research questions of the study- environmental, socio-economic, and cultural, public health, spatial transmission, computer-aided modeling, and data mining. The interdisciplinary nature of how geographic and spatial analysis was used in COVID-19 research was noticeable among the reviewed papers. Although GIS has substantial potential in planning to slow down the spread, surveillance, contact tracing, and identify the trends and hotspots of breakdowns, it was not employed as much as it could have been. This review not only provided an overarching view on how GIS has been used in COVID-19 research so far but also concluded that this geospatial analysis and technologies could be used in future public health emergencies along with statistical and other socio-economic modeling techniques. Our systematic review also provides how both scientific communities and policymakers could leverage GIS to extract useful information to make an informed decision in the coming days.