Network self-exciting point processes to measure health impacts of COVID-19

Spectra of some self - exciting and mutually exciting point processes

In recent years methods of data analysis for point processes have received some attention, for example, by Cox & Lewis (1966) and Lewis (1964). In particular Bartlett (1963a, b) has introduced methods of analysis based on the point spectrum. Theoretical models are relatively sparse. In this paper the theoretical properties of a class of processes with particular reference to the point spectrum ...

Self-exciting point processes with applications in finance and medicine

Self - Exciting Point Process Modeling of Crime

Highly clustered event sequences are observed in certain types of crime data, such as burglary and gang violence, due to crime-specific patterns of criminal behavior. Similar clustering patterns are observed by seismologists, as earthquakes are well known to increase the risk of subsequent earthquakes, or aftershocks, near the location of an initial event. Space–time clustering is modeled in se...

Self-Exciting Point Process Modeling of Crime

Highly clustered event sequences are observed in certain types of crime data, such as burglary and gang violence, due to crime-specific patterns of criminal behavior. Similar clustering patterns are observed by seismologists, as earthquakes are well known to increase the risk of subsequent earthquakes, or aftershocks, near the location of an initial event. Space–time clustering is modeled in se...

Psychological Impacts of Covid-19 Outbreak on Mental Health Status of Society Individuals: A Narrative Review

From the end of December 2019, outbreak of a novel viral disease was reported in Wuhan city of China, which was caused by a novel coronavirus and was officially named as COVID-19 by World Health Organization (WHO). The outbreak of COVID-19 was unique in its rapidity of transmission, which has become a global health emergency within just a few months in all countries worldwide. This disease will...