International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 04 | Apr 2022
p-ISSN: 2395-0072
www.irjet.net
VaccSeen - Cure Yourself to Secure Nation Neha Doke1, Shweta Dundale2, Raj Roge3, Shubham Khangutkar4, Prof. Suhas Lawand5 1,2,3,4 UG
Student, Dept. of Computer Engineering, Pillai College Of Engineering, New Panvel, India Professor, Dept of Computer Engineering, Pillai College Of Engineering, New Panvel, India -----------------------------------------------------------------***---------------------------------------------------------------5Assistant
Abstract— VaccSeen is basically a Web Application which
distribution in rural and urban areas. Many people in metros are already double dosed whereas there are some areas where people are even taking the first dose. Also in areas with surplus vaccines there is a possibility of vaccine wastage. Forecasting on a daily basis is a crucial challenge for revenue managers because of the uncertainty associated between demand and supply. These problems of unequal distribution and vaccine wastage have been encountered in this project.
allows hospitals, independent providers, ancillary providers to get vaccines through our application. In this system we are focused on Vaccine Supply and its Demand forecasting system. The purpose of this system is to develop supply chain strategies to receive, store, distribute and manage vaccines. A Forecasting Algorithm has been implemented to resolve Demand and Supply of vaccines. For forecasting, we will be doing time series analysis using algorithms SARIMAX(Seasonal Auto-Regressive Integrated Moving Average with eXogenous factors). In this System you can track Vaccine throughout your entire supply chain, from purchasing to production to end sales. To place a vaccine request, you’ll need to know your vaccine Name, the number of doses you want to request, and the date by which you need to receive the request. Then Admin can monitor vaccines available in stock and with help of data it can be possible to predict vaccine needs in future by using forecasting algorithms. The results generate a number of vaccine demands, so that the more suitable and reasonable demand is selected for decision making and this will be beneficial for that organization. The dataset will be prepared by our team, for this we have gone through different health department details about vaccination history.
Keywords:
Forecasting, Prediction, Vaccine
SARIMA,
Time
2. Literature Survey: e-VaccIMS: The research paper was written by Mariannie A. Rebortera. It is quite necessary to keep an inventory to guarantee continuous, accurate and timely delivery of the supply of vaccine so that quality standards are observed. However, the City Health Office of Panabo City, Davao del Norte Philippines lacks the efficient and systematic way of managing inventory like recording vaccine stocks and dispensing them. Methodology used here is based on the forecasting models for prediction purposes. VACCINE PREDICTION SYSTEM: The research work described in this paper aims to develop the vaccine prediction system for each health center in the locality of South Tangerang City. The dataset used here is vaccine stock history data at the South Tangerang City Health Center between 2013 and 2017. The method used in this research article is ARIMA (Auto-Regressive Integrated Moving Average) method. There is identification of data to find out whether there are outliers in the data, then stationary test to find out differencing requirements on data, auto-correlation test to determine AR and MA values, fit ARIMA model for testing the most appropriate ARIMA model used, and evaluation it by calculating success rates towards the model
Series,
1. Introduction By the eve of 2019, a viral flu named Novel Coronavirus was discovered in the Wuhan province of China. The virus which was highly infectious spread all over the globe at an extreme rate. Soon the disease was declared as a worldwide pandemic; last was the Spanish flu in the 1920’s. Millions of people were infected and thousands died till the mid-2020. An immediate remedy was required to encounter the virus. Many vaccines namely sputnik, Pfizer, etc. were developed. In India the two main vaccines are covaxin and covishield and the vaccination drive is happening at full force, thousands of residents of India are getting jabbed every day. However there is an inequality in
© 2022, IRJET
|
Impact Factor value: 7.529
Forecasting Model for Deciding Annual Vaccine Demand: This paper written by Ruey-kei Chiu, Chi-Ming Chang and Yen-Chun Chang presents a computer-based forecasting model for building a decision support system for annual vaccine demand forecasting of a specific vaccine. This model is formatted by employing a combination technique like Neural Network and Auto-Regressive Integrated
|
ISO 9001:2008 Certified Journal
|
Page 3893