Despite its benefits, the use of geospatial data in epidemiology comes with challenges:
Data Accuracy: Inaccurate or incomplete data can lead to erroneous conclusions and ineffective interventions. Privacy Concerns: Geospatial data can be sensitive, and protecting the privacy of individuals is crucial. Data Integration: Combining data from different sources and formats can be complex and requires sophisticated tools and expertise. Resource Intensive: Collecting, processing, and analyzing geospatial data can be resource-intensive, requiring significant investments in technology and training.