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10.1111/pirs.12615 http://scihub22266oqcxt.onion/10.1111/pirs.12615 34226811!8242800!34226811     free     free     free       Pap+Reg+Sci 2021 ; 100 (5): 1209-1229 Nephropedia Template TP {{tp|p=34226811|t=2021. Modeling the spread of COVID-19 in New York City |pdf=|usr=}}{{34226811}} gab.com Text Modeling the spread of COVID-19 in New York City JO: Pap Reg Sci http://www.kidney.de/pget.php?&tw=1&pmid=34226811 #FOAvip This paper proposes an ensemble predictor for the weekly increase in the number of confirmed COVID-19 cases in the city of New York at zip code level. Within a Bayesian model averaging framework, the baseline is a Poisson regression for count data. The set of covariates includes autoregressive terms, spatial effects, and demographic and socioeconomic variables. Our results for the second wave of the coronavirus pandemic show that these regressors are more significant to predict the number of new confirmed cases as the pandemic unfolds. Both pointwise and interval forecasts exhibit strong predictive ability in-sample and out-of-sample. Twit Text FOAVip Modeling the spread of COVID-19 in New York City ????Pap Reg Sci http://www.kidney.de/pget.php?&tw=1&pmid=34226811 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34226811 #FOAvip English Wikipedia <ref>{{Cite pmid|34226811}}</ref> Modeling the spread of COVID-19 in New York City #MMPMID34226811 Olmo J; Sanso-Navarro M Pap Reg Sci 2021[Oct]; 100 (5): 1209-1229 PMID34226811show ga This paper proposes an ensemble predictor for the weekly increase in the number of confirmed COVID-19 cases in the city of New York at zip code level. Within a Bayesian model averaging framework, the baseline is a Poisson regression for count data. The set of covariates includes autoregressive terms, spatial effects, and demographic and socioeconomic variables. Our results for the second wave of the coronavirus pandemic show that these regressors are more significant to predict the number of new confirmed cases as the pandemic unfolds. Both pointwise and interval forecasts exhibit strong predictive ability in-sample and out-of-sample. äModeling the spread of COVID-19 in New York City (epmc).pdf DeepDyve Pubget Overpricing