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10.1007/s13370-020-00859-1 http://scihub22266oqcxt.onion/10.1007/s13370-020-00859-1 C7782570COVID-19outbreaksocialdistancingandmasstestinginKenya-insightsfromamathematicalmodel.!7782570!C7782570     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       ä-/-ä 2021 ; 32 (5-6): 757-72 Nephropedia Template TP {{tp|p=C7782570|t=2021. COVID-19 outbreak, social distancing and mass testing in Kenya-insights from a mathematical model |pdf=|usr=}}{{C7782570}} gab.com Text COVID-19 outbreak, social distancing and mass testing in Kenya-insights from a mathematical model JO: ä-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=C7782570 #FOAvip As reported by the World Health Organization (WHO), the world is currently facing a devastating pandemic of a novel coronavirus (COVID-19), which started as an outbreak of pneumonia of unknown cause in the Wuhan city of China in December 2019. Since then, the respiratory disease has exponentially spread to over 210 countries. By the end of April, COVID-19 had caused over three million confirmed cases of infections and over 200,000 fatalities globally. The trend poses a huge threat to global public health. Understanding the early transmission dynamics of the infection and evaluating the effectiveness of control measures is crucial for assessing the potential for sustained transmission to occur in new areas. We employed a SEIHQRD delay differential mathematical transmission model with reported Kenyan data on cases of COVID-19 to estimate how transmission varies over time and which population to target for mass testing. The model is concise in structure, and successfully captures the course of the COVID-19 outbreak, and thus sheds light on understanding the trends of the outbreak and the vulnerable populations. The results show that, the government should target population in the informal settlement for mass testing and provide affordable sanitizers and clean water to this population. The model results also indicate that people with pre-existing non-communicable diseases (NCDs) should be identified and given special medical care. Given the absence of vaccine at the moment, non-pharmaceutical intervention is needed to effectively reduce the final epidemic size. Twit Text FOAVip COVID-19 outbreak, social distancing and mass testing in Kenya-insights from a mathematical model ????ä-/-ä http://www.kidney.de/pget.php?&tw=1&pmid=C7782570 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=C7782570 #FOAvip English Wikipedia <ref>{{Cite pmid|C7782570}}</ref> COVID-19 outbreak, social distancing and mass testing in Kenya-insights from a mathematical model #MMPMIDC7782570 Mbogo RW; Odhiambo JW ä-/-ä 2021[]; 32 (5-6): 757-72 PMIDC7782570show ga As reported by the World Health Organization (WHO), the world is currently facing a devastating pandemic of a novel coronavirus (COVID-19), which started as an outbreak of pneumonia of unknown cause in the Wuhan city of China in December 2019. Since then, the respiratory disease has exponentially spread to over 210 countries. By the end of April, COVID-19 had caused over three million confirmed cases of infections and over 200,000 fatalities globally. The trend poses a huge threat to global public health. Understanding the early transmission dynamics of the infection and evaluating the effectiveness of control measures is crucial for assessing the potential for sustained transmission to occur in new areas. We employed a SEIHQRD delay differential mathematical transmission model with reported Kenyan data on cases of COVID-19 to estimate how transmission varies over time and which population to target for mass testing. The model is concise in structure, and successfully captures the course of the COVID-19 outbreak, and thus sheds light on understanding the trends of the outbreak and the vulnerable populations. The results show that, the government should target population in the informal settlement for mass testing and provide affordable sanitizers and clean water to this population. The model results also indicate that people with pre-existing non-communicable diseases (NCDs) should be identified and given special medical care. Given the absence of vaccine at the moment, non-pharmaceutical intervention is needed to effectively reduce the final epidemic size. äCOVID-19 outbreak, social distancing and mass testing in Kenya-insight(epmc).pdf DeepDyve Pubget Overpricing