time-series

COVID-19 Modelling

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in covid-19-modelling

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WHO-COVID19 Dataset

Libraries

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Use these libraries to find covid-19-modelling models and implementations

Datasets

WHO-COVID19 Dataset

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Most implemented papers

A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19

Zhishan Guo, Ashkan Farhangi, Arthur Huang•Mon Mar 07 2022

DemandNet, a novel deep learning framework for predicting time series data under the influence of the COVID-19 pandemic, outperforms the state-of-art models and can accurately predict the effect of theCOVID- 19 pandemic on hotel demand and revenue.

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From the logistic-sigmoid to nlogistic-sigmoid: modelling the COVID-19 pandemic growth.

Oluwasegun Ayokunle Somefun, K. Akingbade, F. Dahunsi•Tue Dec 08 2020

The nlogistic-sigmoid function is introduced as a compact, unified modern definition of logistic growth for modelling such real-world growth phenomena and its metrics can help to provide clearer and more robust monitoring and quantification of the ongoing pandemic growth process.

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Paper Graph

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