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10.1073/pnas.2026664118 http://scihub22266oqcxt.onion/10.1073/pnas.2026664118 34187879!8285917!34187879     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       Proc+Natl+Acad+Sci+U+S+A 2021 ; 118 (28): ä Nephropedia Template TP {{tp|p=34187879|t=2021. Pan-African evolution of within- and between-country COVID-19 dynamics |pdf=|usr=}}{{34187879}} gab.com Text Pan-African evolution of within- and between-country COVID-19 dynamics JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=34187879 #FOAvip The coronavirus disease 2019 (COVID-19) pandemic is heterogeneous throughout Africa and threatening millions of lives. Surveillance and short-term modeling forecasts are critical to provide timely information for decisions on control strategies. We created a strategy that helps predict the country-level case occurrences based on cases within or external to a country throughout the entire African continent, parameterized by socioeconomic and geoeconomic variations and the lagged effects of social policy and meteorological history. We observed the effect of the Human Development Index, containment policies, testing capacity, specific humidity, temperature, and landlocked status of countries on the local within-country and external between-country transmission. One-week forecasts of case numbers from the model were driven by the quality of the reported data. Seeking equitable behavioral and social interventions, balanced with coordinated country-specific strategies in infection suppression, should be a continental priority to control the COVID-19 pandemic in Africa. Twit Text FOAVip Pan-African evolution of within- and between-country COVID-19 dynamics ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=34187879 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34187879 #FOAvip English Wikipedia <ref>{{Cite pmid|34187879}}</ref> Pan-African evolution of within- and between-country COVID-19 dynamics #MMPMID34187879 Ssentongo P; Fronterre C; Geronimo A; Greybush SJ; Mbabazi PK; Muvawala J; Nahalamba SB; Omadi PO; Opar BT; Sinnar SA; Wang Y; Whalen AJ; Held L; Jewell C; Muwanguzi AJB; Greatrex H; Norton MM; Diggle PJ; Schiff SJ Proc Natl Acad Sci U S A 2021[Jul]; 118 (28): ä PMID34187879show ga The coronavirus disease 2019 (COVID-19) pandemic is heterogeneous throughout Africa and threatening millions of lives. Surveillance and short-term modeling forecasts are critical to provide timely information for decisions on control strategies. We created a strategy that helps predict the country-level case occurrences based on cases within or external to a country throughout the entire African continent, parameterized by socioeconomic and geoeconomic variations and the lagged effects of social policy and meteorological history. We observed the effect of the Human Development Index, containment policies, testing capacity, specific humidity, temperature, and landlocked status of countries on the local within-country and external between-country transmission. One-week forecasts of case numbers from the model were driven by the quality of the reported data. Seeking equitable behavioral and social interventions, balanced with coordinated country-specific strategies in infection suppression, should be a continental priority to control the COVID-19 pandemic in Africa. |Africa/epidemiology[MESH] |COVID-19/diagnosis/*epidemiology/prevention & control/*transmission[MESH] |Forecasting[MESH] |Humans[MESH] |Models, Statistical[MESH] |Public Policy[MESH] |SARS-CoV-2/isolation & purification[MESH]Pan-African evolution of within- and between-country COVID-19 dynamics(epmc).pdf DeepDyve Pubget Overpricing