Abstract
The study of epidemic spread has generally relied on the description of certain number of cases of an infectious diseases like COVID-19 in relation to time occurrence of disease manifestations rather than to the exact place of occurrence. In recent times, computer generated dot maps have facilitated the modeling of the spread of infectious epidemic diseases either with classical statistics approaches or with artificial ``intelligent systems''. When new cases occur in relatively distant locations, it is very difficult to determine whether they constitute a cluster. The identification of the spatial clustering should be the first step when developing effective policies to manage and control any new epidemic.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
