Academia.eduAcademia.edu

Outline

AVADAR Application Preprint

2021, Simulating the Effect of Friction on Drive Screw Using System-of-System Modeling with Predetermined Torque

Abstract

This preprint introduces the Auto-Visual AFP Detection and Reporting (AVADAR) system, a mobile-based surveillance tool aimed at strengthening polio detection in Africa. The system relies on community informants trained through short video modules to recognize symptoms of Acute Flaccid Paralysis (AFP). Early findings suggest that AVADAR improves community awareness and enhances reporting speed compared to traditional surveillance approaches.

Preprint: AVADAR Application Abstract This preprint introduces the Auto-Visual AFP Detection and Reporting (AVADAR) system, a mobile-based surveillance tool aimed at strengthening polio detection in Africa. The system relies on community informants trained through short video modules to recognize symptoms of Acute Flaccid Paralysis (AFP). Early findings suggest that AVADAR improves community awareness and enhances reporting speed compared to traditional surveillance approaches. Introduction The fight against polio requires rapid detection and reporting of AFP cases. Traditional methods often fail in remote areas, leading to delays. AVADAR was developed as an innovative response, combining technology with community-based reporting. Preliminary Findings Initial implementation in pilot districts has shown that AVADAR can increase the detection of AFP cases and reduce reporting delays. However, challenges such as mobile network coverage and the need for continuous training remain significant. Conclusion AVADAR shows promise as a community-driven surveillance tool. Further research and scale-up are needed to validate its long-term impact on polio eradication and its potential application for other diseases.