Abstract
COVID-19 is a phenomenal pandemic that wreaked havoc and still affecting all facets of the human race globally, a novel virus since December 2019 with a record of millions of confirmed cases and associated mortality of hundredth of thousands in well over 230 countries of the world and these cases rise daily. With the incessant increase in the number of cases in Mano River Union (Sierra Leone, Guinea and Liberia), second wave and new variants. The Basic Reproduction Number (Ro) over a time frame using recorded incident cases of the World Health Organization (WHO) by governments of Sierra Leone, Guinea and Liberia. The exponential growth method estimates the growth rate of COVID-19 and Ro using R Survival Analysis Packages and functions to report infection rate, mortality rate and offers live information for planning and preventive measures. With WHO speculations that the virus has come to stay with the human populace, there is an urgent need to explore how computing statistics with Natural Language Processing (NLP) will salvage the infection rates, mortality rates, FAQs. NLP parser is used to extract related information from Emergency Department reports that serve as dataset coupled with the death toll and patient counts as of July 24, 2020, to develop an interactive chatbot that gives preventive measures, symptoms, predict Ro, report routine statistical data, FAQs about COVID-19, emergency contacts for all the provinces in Sierra Leone, Guinea and Liberia and general toll-number for Ministries of Information and Communication, Health, etc. This research work is done through intensive and extensive assessments, observations, information on the case by case of patients to develop the chatbot Covid19Mano. Dialog flow open-source environment is used with PHP for documenting the content of the database for reprogrammed questions, phrases, or words about COVID-19, and NLP parser was integrated with Facebook Messenger and Whatsapp to test the efficiency and accuracy of the chatbot. It offers encoder-decoder models for sequence-to-sequence prediction problems in question answering, text and speech translation, and many more magical and exciting features when trained with Recurrent Neural Networks(RNN). The chatbot will enable users to get up-to-date information about the Coronavirus pandemic, its spread in Mano River Union, who to contact, what to do, and many more related challenges such as predictive analytics of infection, transmission, death, and recovery records and consequently model these mathematically. All the information, analytics, graphics would be embedded into government websites of Mano River Union to combat the ravaging fake news, myth, and stigmatization about the COVID-19 and offer the general overview of modelling, reporting, and predicting the pandemic effect on these nations of Mano River Union.
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