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Forecasting Influenza Rates Using Machine Learning: A Study Of Chatgpt's Predictive Accuracy, Sara Saleh Jun 2025

Forecasting Influenza Rates Using Machine Learning: A Study Of Chatgpt's Predictive Accuracy, Sara Saleh

University Honors Theses

This study evaluates ChatGPT's ability to forecast influenza rates, such as the number of flu cases, hospitalizations, and death during peak season periods using CDC data, and comparing forecasts against actual results to calculate statistical accuracy and consistency. Influenza forecasting is essential for public health planning, but traditional methods may not always provide timely or accurate predictions. In this research study, ChatGPT was utilized to predict the influenza rates for the following week based on the previous week's data obtained from the FluView surveillance system. The predicted rates were compared to the actual influenza rates to assess the model's overall …


Wet Markets And Avian Influenza: Public Policy Decisions In Hong Kong, Shawn Smallman Dec 2018

Wet Markets And Avian Influenza: Public Policy Decisions In Hong Kong, Shawn Smallman

International & Global Studies Faculty Publications and Presentations

After the emergence of H5N1 avian influenza in 1997 Hong Kong implemented a sophisticated system to regulate live poultry markets. While this system is well implemented and thorough, it also has limitations. The rise of H7N9 avian influenza (which is typically acquired through contact with poultry, including in live markets) makes this an appropriate time to revisit the ethical and practical issues related to this trade. Based on data from field observations of live markets in Hong Kong, and interviews with experts in the field, this paper recommends that the government of Hong Kong create a committee to examine the …


Whom Do You Trust? Doubt And Conspiracy Theories In The 2009 Influenza Pandemic, Shawn Smallman Apr 2015

Whom Do You Trust? Doubt And Conspiracy Theories In The 2009 Influenza Pandemic, Shawn Smallman

International & Global Studies Faculty Publications and Presentations

The 2009 pandemic of H1N1 influenza led people around the globe to create narratives about the epidemic defined by the question of trust; these narratives ranged from true conspiracy theories to simply accounts in which mistrust and betrayal formed a motif. In particular, most of these narratives reflected a fear of capitalism and globalization, although in specific regions, other issues—such as religion—played a more central role. These stories were not unique to the H1N1 pandemic but rather have appeared with every contemporary outbreak of infectious disease. This paper will examine conspiracy theories and moral panics related to the H1N1 pandemic …