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10.1016/j.dib.2020.105683 http://scihub22266oqcxt.onion/10.1016/j.dib.2020.105683 C7206427!7206427!32391409     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       Data+Brief 2020 ; 30 (ä): ä Nephropedia Template TP {{tp|p=32391409|t=2020. ONLINE FORECASTING OF COVID-19 CASES IN NIGERIA USING LIMITED DATA |pdf=|usr=}}{{32391409}} gab.com Text ONLINE FORECASTING OF COVID-19 CASES IN NIGERIA USING LIMITED DATA JO: Data Brief http://www.kidney.de/pget.php?&tw=1&pmid=32391409 #FOAvip The novel Coronavirus disease (COVID-19) was first identified in Wuhan, China in December 2019 but later spread to other parts of the world. The disease as at the point of writing this paper has been declared a pandemic by the World Health Organization (WHO). The application of mathematical models, artificial intelligence, big data, and similar methodologies are potential tools to predict the extent of the spread and effectiveness of containment strategies to stem the transmission of this disease. In societies with constrained data infrastructures, modeling and forecasting COVID-19 becomes an extremely difficult endeavor. Nonetheless, we propose an online forecasting mechanism that streams data from the Nigeria Center for Disease Control to update the parameters of an ensemble model which in turn provides updated COVID-19 forecasts every 24 hours. The ensemble combines an Auto-Regressive Integrated Moving Average model (ARIMA), Prophet - an additive regression model developed by Facebook, and a Holt-Winters Exponential Smoothing model combined with Generalized Autoregressive Conditional Heteroscedasticity (GARCH). The outcomes of these efforts are expected to provide academic thrust in guiding the policymakers in the deployment of containment strategies and/or assessment of containment interventions in stemming the spread of the disease in Nigeria Twit Text FOAVip ONLINE FORECASTING OF COVID-19 CASES IN NIGERIA USING LIMITED DATA ????Data Brief http://www.kidney.de/pget.php?&tw=1&pmid=32391409 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32391409 #FOAvip English Wikipedia <ref>{{Cite pmid|32391409}}</ref> ONLINE FORECASTING OF COVID-19 CASES IN NIGERIA USING LIMITED DATA #MMPMID32391409 Abdulmajeed K; Adeleke M; Popoola L Data Brief 2020[Jun]; 30 (ä): ä PMID32391409show ga The novel Coronavirus disease (COVID-19) was first identified in Wuhan, China in December 2019 but later spread to other parts of the world. The disease as at the point of writing this paper has been declared a pandemic by the World Health Organization (WHO). The application of mathematical models, artificial intelligence, big data, and similar methodologies are potential tools to predict the extent of the spread and effectiveness of containment strategies to stem the transmission of this disease. In societies with constrained data infrastructures, modeling and forecasting COVID-19 becomes an extremely difficult endeavor. Nonetheless, we propose an online forecasting mechanism that streams data from the Nigeria Center for Disease Control to update the parameters of an ensemble model which in turn provides updated COVID-19 forecasts every 24 hours. The ensemble combines an Auto-Regressive Integrated Moving Average model (ARIMA), Prophet - an additive regression model developed by Facebook, and a Holt-Winters Exponential Smoothing model combined with Generalized Autoregressive Conditional Heteroscedasticity (GARCH). The outcomes of these efforts are expected to provide academic thrust in guiding the policymakers in the deployment of containment strategies and/or assessment of containment interventions in stemming the spread of the disease in Nigeria äONLINE FORECASTING OF COVID-19 CASES IN NIGERIA USING LIMITED DATA (epmc).pdf DeepDyve Pubget Overpricing