Evaluation of Quantum-Assisted Predictive Analytics for Disease Outbreak Prevention at Nigeria Centre for Disease Control (NCDC), Abuja
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- NGN 5000
Background of the Study
The prevention and management of disease outbreaks is a critical issue for public health systems worldwide, particularly in countries like Nigeria, where infectious diseases such as Ebola, Lassa fever, and cholera pose ongoing threats. Effective disease prevention requires accurate predictive models that can analyze large datasets, identify patterns, and forecast the likelihood of outbreaks. Classical predictive analytics techniques, while valuable, are limited in their ability to handle the vast and complex datasets required for accurate predictions.
Quantum-assisted predictive analytics, which leverages the computational power of quantum computing to analyze complex datasets more efficiently, holds promise for improving the accuracy and timeliness of disease outbreak predictions. By processing data faster and identifying hidden patterns, quantum computing could enable the Nigeria Centre for Disease Control (NCDC) to develop more effective strategies for disease prevention. This study evaluates the potential application of quantum-assisted predictive analytics in disease outbreak prevention at the NCDC, Abuja.
Statement of the Problem
Despite advances in healthcare analytics, predicting disease outbreaks remains a challenge for public health organizations in Nigeria. The complexity of epidemic models, coupled with the large amounts of data generated by various surveillance systems, makes it difficult to develop timely and accurate predictions. Traditional predictive analytics tools may not be sufficient to process the vast quantities of health data and provide actionable insights. This study seeks to investigate the application of quantum-assisted predictive analytics in enhancing the accuracy and timeliness of disease outbreak predictions, ultimately improving public health response efforts in Nigeria.
Objectives of the Study
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To evaluate the potential of quantum-assisted predictive analytics for disease outbreak prevention in Nigeria.
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To explore the challenges and benefits of integrating quantum computing into the NCDC’s disease prediction models.
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To assess the impact of quantum-assisted predictive analytics on the effectiveness of disease outbreak prevention strategies.
Research Questions
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How can quantum-assisted predictive analytics improve the accuracy of disease outbreak predictions at the NCDC?
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What are the challenges and opportunities of integrating quantum computing into the existing disease surveillance and prediction systems at the NCDC?
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How can quantum-assisted analytics enhance the response capabilities of public health organizations in preventing disease outbreaks?
Significance of the Study
This study is significant because it provides an innovative approach to addressing one of Nigeria's most pressing public health challenges. By applying quantum-assisted predictive analytics to disease outbreak prevention, the NCDC could improve the accuracy of predictions and the effectiveness of interventions. This research also has the potential to contribute to global advancements in the application of quantum computing in healthcare.
Scope and Limitations of the Study
This study will focus on evaluating the potential of quantum-assisted predictive analytics in the context of disease outbreak prevention at the NCDC. It will examine the challenges, benefits, and feasibility of incorporating quantum computing into the NCDC’s disease prediction frameworks. Limitations include the nascent stage of quantum computing in healthcare and the challenges associated with data availability and integration in Nigeria.
Definitions of Terms
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Predictive Analytics: The use of data analysis tools to make predictions about future events based on historical data and statistical models.
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Quantum-Assisted Analytics: The application of quantum computing techniques to enhance data analysis, enabling the processing of large and complex datasets more efficiently.
Disease Outbreak Prevention: The efforts and strategies aimed at identifying and controlling the spread of infectious diseases before they reach epidemic proportions.
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