Paper Title

Covid Prediction Using Machine Learning

Article Identifiers

Registration ID: IJNRD_180393

Published ID: IJNRD2201010

DOI: http://doi.one/10.1729/Journal.29118

Authors

Abhay Chopde , Aditi Kumari , Mahi Ambekar , Siddhi Amilkanthwar , Amit Raj

Keywords

Covid-19, Machine learning, Prediction, Forecast, Prophet, Time series

Abstract

The Coronavirus (COVID-19) is spreading throughout the world, reshaping everyday life across the globe. It is one of the fast infectious diseases of the twenty-first century. Technology affects every aspect of daily life swiftly, whether it’s the medical field or any other. In a relatively short period of time, COVID has infected over 250 countries. The disease can be diagnosed quickly and accurately when Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is screened effectively, which reduces the burden on healthcare systems. In epidemic investigations, a variety of Artificial Intelligence (AI) technologies have proven to be effective. In order to evaluate the risk of infection, prediction models that integrate many variables have been developed. These are intended to aid medical personnel around the world in triaging patients, particularly in areas where healthcare resources are scarce. This work describes a machine learning model for the prediction of Covid-19 cases using Python for the upcoming 30 days. These types of predictive models are essential for determining the spread and consequences of infectious diseases.

How To Cite

"Covid Prediction Using Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 1, page no.64-67, January-2022, Available :https://ijnrd.org/papers/IJNRD2201010.pdf

Issue

Volume 7 Issue 1, January-2022

Pages : 64-67

Other Publication Details

Paper Reg. ID: IJNRD_180393

Published Paper Id: IJNRD2201010

Downloads: 000121173

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2201010.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2201010

DOI: http://doi.one/10.1729/Journal.29118

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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