FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3081815047> ?p ?o ?g. }

• W3081815047 endingPage "1155" @default.
• W3081815047 startingPage "1140" @default.
• W3081815047 abstract "COVID-19 is caused by a coronavirus called SARS-CoV-2. Many countries around the world implemented their own policies and restrictions designed to limit the spread of Covid-19 in recent months. Businesses and schools transitioned into working and learning remotely. In the United States, many states were under strict orders to stay home at least in the month of April. In recent weeks, there are some significant changes related restrictions include social-distancing, reopening states, and staying-at-home orders. The United States surpassed 2 million coronavirus cases on Monday, June 15, 2020 less than five months after the first case was confirmed in the country. The virus has killed at least 115,000 people in the United States as of Monday, June 15, 2020, according to data from Johns Hopkins University. With the recent easing of coronavirus-related restrictions and changes on business and social activity such as stay-at-home, social distancing since late May 2020 hoping to restore economic and business activities, new Covid-19 outbreaks are on the rise in many states across the country. Some researchers expressed concern that the process of easing restrictions and relaxing stay-at-home orders too soon could quickly surge the number of infected Covid-19 cases as well as the death toll in the United States. Some of these increases, however, could be due to more testing sites in the communities while others may be are the results of easing restrictions due to recent reopening and changed policies, though the number of daily death toll does not appear to be going down in recent days due to Covid-19 in the U.S. This raises the challenging question: • How can policy decision-makers and community leaders make the decision to implement public policies and restrictions and keep or lift staying-at-home orders of ongoing Covid-19 pandemic for their communities in a scientific way? In this study, we aim to develop models addressing the effects of recent Covid-19 related changes in the communities such as reopening states, practicing social-distancing, and staying-at-home orders. Our models account for the fact that changes to these policies which can lead to a surge of coronavirus cases and deaths, especially in the United States. Specifically, in this paper we develop a novel generalized mathematical model and several explicit models considering the effects of recent reopening states, staying-at-home orders and social-distancing practice of different communities along with a set of selected indicators such as the total number of coronavirus recovered and new cases that can estimate the daily death toll and total number of deaths in the United States related to Covid-19 virus. We compare the modeling results among the developed models based on several existing criteria. The model also can be used to predict the number of death toll in Italy and the United Kingdom (UK). The results show very encouraging predictability for the proposed models in this study. The model predicts that 128,500 to 140,100 people in the United States will have died of Covid-19 by July 4, 2020. The model also predicts that between 137,900 and 154,000 people will have died of Covid-19 by July 31, and 148,500 to 169,700 will have died by the end of August 2020, as a result of the SARS-CoV-2 coronavirus that causes COVID-19 based on the Covid-19 death data available on June 13, 2020. The model also predicts that 34,900 to 37,200 people in Italy will have died of Covid-19 by July 4, and 36,900 to 40,400 people will have died by the end of August based on the data available on June 13, 2020. The model also predicts that between 43,500 and 46,700 people in the United Kingdom will have died of Covid-19 by July 4, and 48,700 to 51,900 people will have died by the end of August, as a result of the SARS-CoV-2 coronavirus that causes COVID-19 based on the data available on June 13, 2020. The model can serve as a framework to help policy makers a scientific approach in quantifying decision-makings related to Covid-19 affairs." @default.
• W3081815047 created "2020-09-08" @default.
• W3081815047 creator A5067875509 @default.
• W3081815047 date "2020-12-01" @default.
• W3081815047 modified "2023-09-25" @default.
• W3081815047 title "Predictive Modeling on the Number of Covid-19 Death Toll in the United States Considering the Effects of Coronavirus-Related Changes and Covid-19 Recovered Cases" @default.
• W3081815047 cites W2031379837 @default.
• W3081815047 cites W2168175751 @default.
• W3081815047 cites W2966530510 @default.
• W3081815047 cites W2995576761 @default.
• W3081815047 cites W3005409672 @default.
• W3081815047 cites W3008443627 @default.
• W3081815047 cites W3008874180 @default.
• W3081815047 cites W3009468976 @default.
• W3081815047 cites W3011046120 @default.
• W3081815047 cites W3012925204 @default.
• W3081815047 cites W3013490518 @default.
• W3081815047 cites W3014080169 @default.
• W3081815047 cites W3014146342 @default.
• W3081815047 cites W3016952174 @default.
• W3081815047 cites W3020140277 @default.
• W3081815047 doi "https://doi.org/10.33889/ijmems.2020.5.6.087" @default.
• W3081815047 hasPublicationYear "2020" @default.
• W3081815047 type Work @default.
• W3081815047 sameAs 3081815047 @default.
• W3081815047 citedByCount "2" @default.
• W3081815047 countsByYear W30818150472020 @default.
• W3081815047 countsByYear W30818150472021 @default.
• W3081815047 crossrefType "journal-article" @default.
• W3081815047 hasAuthorship W3081815047A5067875509 @default.
• W3081815047 hasBestOaLocation W30818150471 @default.
• W3081815047 hasConcept C142724271 @default.
• W3081815047 hasConcept C144133560 @default.
• W3081815047 hasConcept C162324750 @default.
• W3081815047 hasConcept C172656115 @default.
• W3081815047 hasConcept C17744445 @default.
• W3081815047 hasConcept C203014093 @default.
• W3081815047 hasConcept C2777648638 @default.
• W3081815047 hasConcept C2778025104 @default.
• W3081815047 hasConcept C2779134260 @default.
• W3081815047 hasConcept C2991839399 @default.
• W3081815047 hasConcept C3007834351 @default.
• W3081815047 hasConcept C3008058167 @default.
• W3081815047 hasConcept C47768531 @default.
• W3081815047 hasConcept C50522688 @default.
• W3081815047 hasConcept C524204448 @default.
• W3081815047 hasConcept C71924100 @default.
• W3081815047 hasConcept C99454951 @default.
• W3081815047 hasConceptScore W3081815047C142724271 @default.
• W3081815047 hasConceptScore W3081815047C144133560 @default.
• W3081815047 hasConceptScore W3081815047C162324750 @default.
• W3081815047 hasConceptScore W3081815047C172656115 @default.
• W3081815047 hasConceptScore W3081815047C17744445 @default.
• W3081815047 hasConceptScore W3081815047C203014093 @default.
• W3081815047 hasConceptScore W3081815047C2777648638 @default.
• W3081815047 hasConceptScore W3081815047C2778025104 @default.
• W3081815047 hasConceptScore W3081815047C2779134260 @default.
• W3081815047 hasConceptScore W3081815047C2991839399 @default.
• W3081815047 hasConceptScore W3081815047C3007834351 @default.
• W3081815047 hasConceptScore W3081815047C3008058167 @default.
• W3081815047 hasConceptScore W3081815047C47768531 @default.
• W3081815047 hasConceptScore W3081815047C50522688 @default.
• W3081815047 hasConceptScore W3081815047C524204448 @default.
• W3081815047 hasConceptScore W3081815047C71924100 @default.
• W3081815047 hasConceptScore W3081815047C99454951 @default.
• W3081815047 hasIssue "6" @default.
• W3081815047 hasLocation W30818150471 @default.
• W3081815047 hasLocation W30818150472 @default.
• W3081815047 hasOpenAccess W3081815047 @default.
• W3081815047 hasPrimaryLocation W30818150471 @default.
• W3081815047 hasRelatedWork W3013048436 @default.
• W3081815047 hasRelatedWork W3015130569 @default.
• W3081815047 hasRelatedWork W3023213585 @default.
• W3081815047 hasRelatedWork W3084498529 @default.
• W3081815047 hasRelatedWork W3087427886 @default.
• W3081815047 hasRelatedWork W3087747856 @default.
• W3081815047 hasRelatedWork W3119779361 @default.
• W3081815047 hasRelatedWork W3152387439 @default.
• W3081815047 hasRelatedWork W3156800464 @default.
• W3081815047 hasRelatedWork W4221053836 @default.
• W3081815047 hasVolume "5" @default.
• W3081815047 isParatext "false" @default.
• W3081815047 isRetracted "false" @default.
• W3081815047 magId "3081815047" @default.
• W3081815047 workType "article" @default.