Publications by authors named "Nia Z"

Background: Controlling re-emerging outbreaks such as COVID-19 is a critical concern to global health. Disease forecasting solutions are extremely beneficial to public health emergency management. This work aims to design and deploy a framework for real-time surveillance, prediction, forecasting, and early warning of respiratory disease.

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Article Synopsis
  • The ongoing H5N1 avian influenza outbreak has severely affected public health and agriculture, with over 900 human infections and a high fatality rate since 1997, complicating containment efforts due to new viral strains.
  • This review emphasizes the importance of understanding risk factors for H5N1 transmission and the need for comprehensive surveillance strategies that consider various demographic, socioeconomic, and ecological factors.
  • It advocates for the integration of technology, such as AI and mathematical modeling, into a One-Health approach to enhance outbreak forecasting, detection, and response, while highlighting the necessity of international collaboration and biosecurity measures to control future outbreaks.
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Social media contains useful information about people and society that could help advance research in many different areas of health (e.g. by applying opinion mining, emotion/sentiment analysis and statistical analysis) such as mental health, health surveillance, socio-economic inequality and gender vulnerability.

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After struggling with COVID-19 pandemic for two years, the world is finally recovering from this crisis. Nonetheless, another virus, Monkeypox, is quickly spreading throughout the world and in non-endemic regions and continents, threatening the world to a new pandemic. Twitter as a popular social media has successfully been used for predicting and controlling outbreaks.

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The global economy has been hard hit by the COVID-19 pandemic. Many countries are experiencing a severe and destructive recession. A significant number of firms and businesses have gone bankrupt or been scaled down, and many individuals have lost their jobs.

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The COVID-19 pandemic has had a devastating impact on the global economy. In this paper, we use the Phillips curve to compare and analyze the macroeconomics of three different countries with distinct income levels, namely, lower-middle (Nigeria), upper-middle (South Africa), and high (Canada) income. We aim to (1) find macroeconomic changes in the three countries during the pandemic compared to pre-pandemic time, (2) compare the countries in terms of response to the COVID-19 economic crisis, and (3) compare their expected economic reaction to the COVID-19 pandemic in the near future.

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