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10.7705/biomedica.5841 http://scihub22266oqcxt.onion/10.7705/biomedica.5841 33152203!7676827!33152203     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 280.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 280.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 280.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 280.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomedica 2020 ; 40 (Supl. 2): 188-197 Nephropedia Template TP {{tp|p=33152203|t=2020. Secuenciacion del SARS-CoV-2: la iniciativa tecnologica para fortalecer los sistemas de alerta temprana ante emergencias de salud publica en Latinoamerica y el Caribe |pdf=|usr=}}{{33152203}} gab.com Text Secuenciacion del SARS-CoV-2: la iniciativa tecnologica para fortalecer los sistemas de alerta temprana ante emergencias de salud publica en Latinoamerica y el Caribe JO: Biomedica http://www.kidney.de/pget.php?&tw=1&pmid=33152203 #FOAvip The COVID-19 pandemic caused by SARS-CoV-2 is a public health problem on a scale unprecedented in the last 100 years, as has been the response focused on the rapid genomic characterization of SARS-CoV-2 in virtually all regions of the planet. This pandemic emerged during the era of genomic epidemiology, a science fueled by continued advances in next-generation sequencing. Since its recent appearance, genomic epidemiology included the precise identification of new lineages or species of pathogens and the reconstruction of their genetic variability in real time, evidenced in past outbreaks of influenza H1N1, MERS, and SARS. However, the global and uncontrolled scale of this pandemic created a scenario where genomic epidemiology was put into practice en masse, from the rapid identification of SARS-CoV-2 to the registration of new lineages and their active surveillance throughout the world. Prior to the COVID-19 pandemic, the availability of genomic data on circulating pathogens in several Latin America and the Caribbean countries was scarce or nil. With the arrival of SARS-CoV-2, this scenario changed significantly, although the amount of available information remains scarce and, in countries such as Colombia, Brazil, Argentina, and Chile, the genomic information of SARS-CoV-2 was obtained mainly by research groups in genomic epidemiology rather than the product of a public health surveillance policy or program. This indicates the need to establish public health policies aimed at implementing genomic epidemiology as a tool to strengthen surveillance and early warning systems against threats to public health in the region. Twit Text FOAVip Secuenciacion del SARS-CoV-2: la iniciativa tecnologica para fortalecer los sistemas de alerta temprana ante emergencias de salud publica en Latinoamerica y el Caribe ????Biomedica http://www.kidney.de/pget.php?&tw=1&pmid=33152203 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33152203 #FOAvip English Wikipedia <ref>{{Cite pmid|33152203}}</ref> Secuenciacion del SARS-CoV-2: la iniciativa tecnologica para fortalecer los sistemas de alerta temprana ante emergencias de salud publica en Latinoamerica y el Caribe #MMPMID33152203 Alvarez-Diaz DA; Laiton-Donato K; Franco-Munoz C; Mercado-Reyes M Biomedica 2020[Oct]; 40 (Supl. 2): 188-197 PMID33152203show ga The COVID-19 pandemic caused by SARS-CoV-2 is a public health problem on a scale unprecedented in the last 100 years, as has been the response focused on the rapid genomic characterization of SARS-CoV-2 in virtually all regions of the planet. This pandemic emerged during the era of genomic epidemiology, a science fueled by continued advances in next-generation sequencing. Since its recent appearance, genomic epidemiology included the precise identification of new lineages or species of pathogens and the reconstruction of their genetic variability in real time, evidenced in past outbreaks of influenza H1N1, MERS, and SARS. However, the global and uncontrolled scale of this pandemic created a scenario where genomic epidemiology was put into practice en masse, from the rapid identification of SARS-CoV-2 to the registration of new lineages and their active surveillance throughout the world. Prior to the COVID-19 pandemic, the availability of genomic data on circulating pathogens in several Latin America and the Caribbean countries was scarce or nil. With the arrival of SARS-CoV-2, this scenario changed significantly, although the amount of available information remains scarce and, in countries such as Colombia, Brazil, Argentina, and Chile, the genomic information of SARS-CoV-2 was obtained mainly by research groups in genomic epidemiology rather than the product of a public health surveillance policy or program. This indicates the need to establish public health policies aimed at implementing genomic epidemiology as a tool to strengthen surveillance and early warning systems against threats to public health in the region. |*Genome, Viral[MESH] |*Information Dissemination[MESH] |*Pandemics/prevention & control[MESH] |*Population Surveillance[MESH] |*Sequence Analysis, RNA[MESH] |Base Sequence[MESH] |Betacoronavirus/*genetics[MESH] |COVID-19[MESH] |Caribbean Region[MESH] |Communicable Diseases, Emerging[MESH] |Coronavirus Infections/*epidemiology/prevention & control/virology[MESH] |Disaster Planning[MESH] |Disease Outbreaks[MESH] |Humans[MESH] |Latin America/epidemiology[MESH] |Molecular Epidemiology/methods/*trends[MESH] |Pneumonia, Viral/*epidemiology/prevention & control/virology[MESH] |Procedures and Techniques Utilization[MESH] |Public Health[MESH] |RNA, Viral/*genetics[MESH] |RNA-Seq[MESH] |SARS-CoV-2[MESH] |Sustainable Development[MESH]Secuenciacion del SARS-CoV-2: la iniciativa tecnologica para fortalece(epmc).pdf DeepDyve Pubget Overpricing