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10.1016/j.jbi.2021.103800 http://scihub22266oqcxt.onion/10.1016/j.jbi.2021.103800 33965636!8102072!33965636     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33965636&cmd=llinks): Failed to open stream: HTTP request failed! 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An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19 |pdf=|usr=}}{{33965636}} gab.com Text An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19 JO: J Biomed Inform http://www.kidney.de/pget.php?&tw=1&pmid=33965636 #FOAvip OBJECTIVE: As the potential spread of COVID-19 sparked by imported cases from overseas will pose continuous challenges, it is essential to estimate the effects of control measures on reducing the importation risk of COVID-19. Our objective is to provide a framework of methodology for quantifying the combined effects of entry restrictions and travel quarantine on managing the importation risk of COVID-19 and other pandemics by leveraging different sets of parameters. METHODS: Three major categories of control measures on controlling importation risk were parameterized and modelled by the framework: 1) entry restrictions, 2) travel quarantine, and 3) domestic containment measures. Integrating the parameterized intensity of control measures, a modified SEIR model was developed to simulate the case importation and local epidemic under different scenarios of global epidemic dynamics. A web-based tool was also provided to enable interactive visualization of epidemic simulation. RESULTS: The simulated number of case importation and local spread modelled by the proposed framework of methods fitted well to the historical epidemic curve of China and Singapore. Based on the simulation results, the total numbers of infected cases when reducing 30% of visitor arrivals would be 88.4 (IQR 87.5-89.6) and 58.8 (IQR 58.3-59.5) times more than those when reducing 99% of visitor arrivals in mainland China and Singapore respectively, assuming actual time-varying R(t) and travel quarantine policy. If the number of global daily new infections reached 100,000, 85%-91% of inbound travels should be reduced to keep the daily new infected number below 100 for a country with a similar travel volume as Singapore (daily 52,000 tourist arrivals in 2019). Whereas if the number was lower than 10,000, the daily new infected case would be less than 100 even with no entry restrictions. DISCUSSIONS: We proposed a framework that first estimated the intensity of travel restrictions and local containment measures for countries since the first overseas imported case. Our approach then quantified the combined effects of entry restrictions and travel quarantine using a modified SEIR model to simulate the potential epidemic spread under hypothetical intensities of these control measures. We also developed a web-based system that enables interactive simulation, which could serve as a valuable tool for health system administrators to assess policy effects on managing the importation risk. By leveraging different sets of parameters, it could adapt to any specific country and specific type of epidemic. CONCLUSIONS: This framework has provided a valuable tool to parameterize the intensity of control measures, simulate both the case importation and local epidemic, and quantify the combined effects of entry restrictions and travel quarantine on managing the importation risk. Twit Text FOAVip An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19 ????J Biomed Inform http://www.kidney.de/pget.php?&tw=1&pmid=33965636 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33965636 #FOAvip English Wikipedia <ref>{{Cite pmid|33965636}}</ref> An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19 #MMPMID33965636 Chen T; Huang S; Li G; Zhang Y; Li Y; Zhu J; Shi X; Li X; Xie G; Zhang L J Biomed Inform 2021[Jun]; 118 (ä): 103800 PMID33965636show ga OBJECTIVE: As the potential spread of COVID-19 sparked by imported cases from overseas will pose continuous challenges, it is essential to estimate the effects of control measures on reducing the importation risk of COVID-19. Our objective is to provide a framework of methodology for quantifying the combined effects of entry restrictions and travel quarantine on managing the importation risk of COVID-19 and other pandemics by leveraging different sets of parameters. METHODS: Three major categories of control measures on controlling importation risk were parameterized and modelled by the framework: 1) entry restrictions, 2) travel quarantine, and 3) domestic containment measures. Integrating the parameterized intensity of control measures, a modified SEIR model was developed to simulate the case importation and local epidemic under different scenarios of global epidemic dynamics. A web-based tool was also provided to enable interactive visualization of epidemic simulation. RESULTS: The simulated number of case importation and local spread modelled by the proposed framework of methods fitted well to the historical epidemic curve of China and Singapore. Based on the simulation results, the total numbers of infected cases when reducing 30% of visitor arrivals would be 88.4 (IQR 87.5-89.6) and 58.8 (IQR 58.3-59.5) times more than those when reducing 99% of visitor arrivals in mainland China and Singapore respectively, assuming actual time-varying R(t) and travel quarantine policy. If the number of global daily new infections reached 100,000, 85%-91% of inbound travels should be reduced to keep the daily new infected number below 100 for a country with a similar travel volume as Singapore (daily 52,000 tourist arrivals in 2019). Whereas if the number was lower than 10,000, the daily new infected case would be less than 100 even with no entry restrictions. DISCUSSIONS: We proposed a framework that first estimated the intensity of travel restrictions and local containment measures for countries since the first overseas imported case. Our approach then quantified the combined effects of entry restrictions and travel quarantine using a modified SEIR model to simulate the potential epidemic spread under hypothetical intensities of these control measures. We also developed a web-based system that enables interactive simulation, which could serve as a valuable tool for health system administrators to assess policy effects on managing the importation risk. By leveraging different sets of parameters, it could adapt to any specific country and specific type of epidemic. CONCLUSIONS: This framework has provided a valuable tool to parameterize the intensity of control measures, simulate both the case importation and local epidemic, and quantify the combined effects of entry restrictions and travel quarantine on managing the importation risk. |*Quarantine[MESH] |*Travel[MESH] |COVID-19/*prevention & control[MESH] |China/epidemiology[MESH] |Humans[MESH]An integrated framework for modelling quantitative effects of entry re(epmc).pdf DeepDyve Pubget Overpricing