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Climate Crisis Impact on AIDS, IRIS and Neuro-AIDS

  • Francesco Chiappelli
  • Emma Reyes
  • Ruth Toruño
Chapter

Abstract

Our awareness of the climate crisis/catastrophe is a convoluted story, which began in chemistry laboratories several decades ago. In that context, scientists first described the greenhouse effect: the potential CO2 accumulation allows solar heat to penetrate the atmosphere, but prevents radiated warmth to escape from it. A theoretical proposition at first, scientists first described the greenhouse effect as the potential accumulation of CO2, allowing solar heat to penetrate the atmosphere while simultaneously preventing the radiated warmth from escaping it. This increase in atmospheric CO2 would hypothetically then raise the planet’s temperature, and if left unchecked, this phenomenon could lead to a multitude of issues including the melting of polar ice caps, rising of oceanic waters, alterations in the acidity and temperature of global water reservoirs (i.e., rivers, lakes, and seas), and changes in the patterns and strength of the gulf streams and consequently the jet stream.

Global warming is now a reality that is substantiated by an abundance of facts and evidence. The best available evidence further confirms that the climate crisis we have engendered with wanton human activity since the industrial revolution and with renewed vigor following WWII, has exacerbated within the last five decades, proffering serious threats to the health of children, adults and the elderly alike.

We discuss the implications of the climate crisis to susceptibility of HIV disease, AIDS, Neuro-AIDS and IRIS, and proffer the current measles outbreak in the Philippines as proof-of-concept of the proposition that global warming can affect morbidity and mortality to viral infections. We also propose a general Artificial Intelligence-driven statistical space-time mixture algorithm as a Bayesian predictive model for climate change-associated medical emergencies.

Keywords

Human Immunodeficiency virus (HIV) Acquired immune deficiency syndrome (AIDS) Neuro-AIDS Immune reconstitution inflammatory syndrome (IRIS) Macroenvironment Microenvironment Best evidence base Systematic review Translational Environmental Restoration (TER) Climate crisis Artificial Intelligence (AI) Bayesian semi-parametric multiple regression Space-time model 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Francesco Chiappelli
    • 1
  • Emma Reyes
    • 1
  • Ruth Toruño
    • 1
  1. 1.Department of the Health Sciences (Biostatistics)California State UniversityNorthridgeUSA

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