Gauging the Impact of Artificial Intelligence and Mathematical Modeling in Response to the COVID-19 Pandemic: A Systematic Review.

While the world continues to grapple with the devastating effects of the SARS-nCoV-2 virus, different scientific groups, including researchers from different parts of the world, are trying to collaborate to discover solutions to prevent the spread of the COVID-19 virus permanently. Henceforth, the current study envisions the analysis of predictive models that employ machine learning techniques and mathematical modeling to mitigate the spread of COVID-19. A systematic literature review (SLR) has been conducted, wherein a search into different databases, viz.

Blindness in children at the Ida Rieu school for the blind and deaf.

Objective: To identify the causes of blindness at the Ida Rieu school for the blind and deaf, Karachi, Pakistan.

Methods: A cross sectional study was conducted at the Ida Rieu School for the blind and deaf. The data collected from medical record of students was entered into the WHO/PBL eye examination form for children with blindness and low vision.