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10.1016/j.ijid.2020.06.078 http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.06.078 32619761!7326444!32619761     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Infect+Dis 2020 ; 98 (ä): 153-160 Nephropedia Template TP {{tp|p=32619761|t=2020. Spatiotemporal dynamics of the COVID-19 pandemic in the State of Kuwait |pdf=|usr=}}{{32619761}} gab.com Text Spatiotemporal dynamics of the COVID-19 pandemic in the State of Kuwait JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32619761 #FOAvip OBJECTIVES: Prompt understanding of the temporal and spatial patterns of the COVID-19 pandemic on a national level is a critical step for the timely allocation of surveillance resources. Therefore, this study explored the temporal and spatiotemporal dynamics of the COVID-19 pandemic in Kuwait using daily confirmed case data collected between the 23 February and 07 May 2020. METHODS: The pandemic progression was quantified using the time-dependent reproductive number (R((t))). The spatiotemporal scan statistic model was used to identify local clustering events. Variability in transmission dynamics was accounted for within and between two socioeconomic classes: citizens-residents and migrant workers. RESULTS: The pandemic size in Kuwait continues to grow (R((t))s >/=2), indicating significant ongoing spread. Significant spreading and clustering events were detected among migrant workers, due to their densely populated areas and poor living conditions. However, the government's aggressive intervention measures have substantially lowered pandemic growth in migrant worker areas. However, at a later stage of the study period, active spreading and clustering events among both socioeconomic classes were found. CONCLUSIONS: This study provided deeper insights into the epidemiology of COVID-19 in Kuwait and provided an important platform for rapid guidance of decisions related to intervention activities. Twit Text FOAVip Spatiotemporal dynamics of the COVID-19 pandemic in the State of Kuwait ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32619761 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32619761 #FOAvip English Wikipedia <ref>{{Cite pmid|32619761}}</ref> Spatiotemporal dynamics of the COVID-19 pandemic in the State of Kuwait #MMPMID32619761 Alkhamis MA; Al Youha S; Khajah MM; Ben Haider N; Alhardan S; Nabeel A; Al Mazeedi S; Al-Sabah SK Int J Infect Dis 2020[Sep]; 98 (ä): 153-160 PMID32619761show ga OBJECTIVES: Prompt understanding of the temporal and spatial patterns of the COVID-19 pandemic on a national level is a critical step for the timely allocation of surveillance resources. Therefore, this study explored the temporal and spatiotemporal dynamics of the COVID-19 pandemic in Kuwait using daily confirmed case data collected between the 23 February and 07 May 2020. METHODS: The pandemic progression was quantified using the time-dependent reproductive number (R((t))). The spatiotemporal scan statistic model was used to identify local clustering events. Variability in transmission dynamics was accounted for within and between two socioeconomic classes: citizens-residents and migrant workers. RESULTS: The pandemic size in Kuwait continues to grow (R((t))s >/=2), indicating significant ongoing spread. Significant spreading and clustering events were detected among migrant workers, due to their densely populated areas and poor living conditions. However, the government's aggressive intervention measures have substantially lowered pandemic growth in migrant worker areas. However, at a later stage of the study period, active spreading and clustering events among both socioeconomic classes were found. CONCLUSIONS: This study provided deeper insights into the epidemiology of COVID-19 in Kuwait and provided an important platform for rapid guidance of decisions related to intervention activities. |*Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology[MESH] |Female[MESH] |Humans[MESH] |Kuwait/epidemiology[MESH] |Male[MESH] |Models, Statistical[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH] |SARS-CoV-2[MESH]Spatiotemporal dynamics of the COVID-19 pandemic in the State of Kuwai(epmc).pdf DeepDyve Pubget Overpricing