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    Prediction of COVID-19 Transmission in the United States Using Google Search Trends

    Meshrif Alruily1, Mohamed Ezz1,2, Ayman Mohamed Mostafa1,3, Nacim Yanes1,4, Mostafa Abbas5, Yasser El-Manzalawy5,*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1751-1768, 2022, DOI:10.32604/cmc.2022.020714

    Abstract Accurate forecasting of emerging infectious diseases can guide public health officials in making appropriate decisions related to the allocation of public health resources. Due to the exponential spread of the COVID-19 infection worldwide, several computational models for forecasting the transmission and mortality rates of COVID-19 have been proposed in the literature. To accelerate scientific and public health insights into the spread and impact of COVID-19, Google released the Google COVID-19 search trends symptoms open-access dataset. Our objective is to develop 7 and 14-day-ahead forecasting models of COVID-19 transmission and mortality in the US using the Google search trends for COVID-19… More >

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