Page 435 - NGTU_paper_withoutVideo
P. 435

Modern Geomatics Technologies and Applications



                            COVID-19 data analysis and Spatio-temporal hotpot identification



                                           Neda Kaffash Charandabi , Amir Gholami 2
                                                                  1*

                         1  Faculty of Geomatic, Marand Technical Faculty, University of Tabriz, Tabriz, Iran
                         2  Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, Iran


                                    *Corresponding author. E-mail addresses: n_kaffash@tabrizu.ac.ir



               Abstract: A major global public health issue that was called COVID-19 emerged in China at the end of 2019.
               The disease has caused many life-threatening physicals, emotional and financial problems for all people in the
               world.  With  the  increasing  number  of  cases  of  COVID-19,  their  clustering  and  pattern  discovery  are
               essential. Previous research concentrated mainly on the COVID-19 spatial, statistical, or temporal analysis.
               This  research  uses  a  Spatio-temporal  analysis  method  that  integrates  time-space  cube  analysis,  spatial
               autocorrelation analysis, and emerging hot-spot analysis to investigate COVID-19 Case and Death data. In
               this paper, according to the Spatial and Spatio-temporal analysis, hot/cold spots were identified based on data
               until March 21. The results of hot/cold spots analysis for cases with different temporal neighborhood steps
               across countries showed that an average of 38.06%, 7.3%, 10.78% and 1.86% were identified for oscillating,
               sporadic, consecutive and new hot spots ,and 42% for cold spots, respectively. The results confirm a global
               crisis that requires serious prevention, hand hygiene, self-quarantine ,and social distancing until vaccines will
               be discovered.


               Keywords: COVID-19, Spatio-temporal Analysis, Epidemiology




               1. Introduction
                     The  novel  Coronavirus  (COVID-19)  has  spread  all  over  the  world  since  it  first  appeared  in  Wuhan,  the

               capital  city  of  Hubei  province,  on  31  December  2019.  More  than  670,000  cases  and  31,000  deaths  have  been
               recorded in 199 countries and territories because of the COVID-19, according to the World Health Organization
               (WHO) situation reports [1]. The WHO announced COVID-19 as the sixth the world's public health concern on 30
               January 2020. It is transmitted via human-to-human droplets or direct contact, and the mean incubation period for
               infection has been estimated to be 6.4 days [2].

                     However, there is little information about this new virus. Researchers in different fields are working towards
               discovering an appropriate solution to this global issue [2]. One of the new approaches to better management of
   430   431   432   433   434   435   436   437   438   439   440