Abstract

The recent outbreak of novel coronavirus, SARS-CoV-2 or COVID-19, discovered in late 2019, being continued to spread across regions worldwide, has resulted in 1,914,916 “confirmed” cases with up to 123,010 deaths, as in situation report –85 by World Health Organization (WHO). Most of the developed disease monitoring and tracking tools currently available only present the reported cases up to country-level and not detail down to provincial- or state-, city- level within the countries. This is insignificant for supporting activities in quickly reducing and preventing the spread of the disease within a certain country because further detail potential infectious locations are not provided for people to avoid traveling or passing by there. Thus, this work presents an open toolbox for generating map of actively “Confirmed” cases in a country, i.e., Vietnam, given a dataset containing their statuses and current locations, detail down to provincial-or state-, city-level. The newly released algorithm reduced approximately 24.41% of processing time of the preceding one. In addition, the algorithm can be easily extended for supporting other countries given suitable datasets.

Highlights

  • The recent outbreak of coronavirus, SARS-CoV-2 or COVID-19 [1,2,3,4,5,6,7], discovered in late 2019, being continued to spread across regions worldwide [8,9,10,11], resulted in 1,914,916 “confirmed” cases with up to 123,010 deaths [12]

  • In order to gereate a map of the actively “Confirmed” cases in Vietnam, the input data were manually processed from reliable sources of information including release news of Ministry of Health (MOH), Vietnam [35], local news websites such as VnExpress.net [36], DanTri.com.vn [37], ThanhNien.vn [38], and TuoiTre.vn [39]

  • One observes that the COVID-19 spread to major center parts of North, Middle, and South Vietnam

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Summary

Introduction

The recent outbreak of coronavirus, SARS-CoV-2 or COVID-19 [1,2,3,4,5,6,7], discovered in late 2019, being continued to spread across regions worldwide [8,9,10,11], resulted in 1,914,916 “confirmed” cases with up to 123,010 deaths [12]. The disease is spreading extremely quickly resulting in exponentially infected cases all over the world [13,14,15,16]. Since the detection of the virus, researchers worldwide have paid rapid attentions and put great efforts in addressing plenty of socioeconomic consequences. The model utilizes different intervention measures’ effects of dissimilar period in the prediction. Working on different approach, [14] discussed the severity of acute respiratory syndrome of infected patients and the challenges of this pandemic. The mean incubation period was found to be approximately 7 days while the basic reproduction number was between 2.24 and 3.58 [14]. Aside from the pneumonia as the most manifestation of the virus, [4] suggested that extra-pulmonary symptoms such as initial cerebrovascular shall manifest

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