Author(s)

Ruyan Li, Yiran Li and Ziyi Xu

Corresponding Author

Yiran Li

ABSTRACT

Chagas disease (ChD) is a type of parasitic infection caused by the protozoan Trypanosoma cruzi from the American continent discovered in 1909. Up to 7 million people have been infected by ChD, and around 30-40% of patients have or will develop chronic disease e.g., cardiomyopathy, arrhythmias and digestive megaviscera. We collected data of ChD between 1990 and 2019 from Global Burden of Disease 2019, and analyzing the annual changing trend of mortality by sex, region, Socio-demographic index (SDI) and age to identify the potential factors that caused the death. According to the results, the factors that led to more death number are gender differences (physiological difference and presentational behaviors), poor living conditions with higher exposure chance to vectors related to low SDI and heart diseases caused by aging. Chagas disease has caused numerous death cases among these three decades and is not only an endemic disease due to the growing population movements. As a result, it is vital to investigate the main factors contributed to increasing mortality in specific groups of people. Additionally, several recommendations are proposed based on these factors including infrastructure improvement and promotion of hygienic habits to reduce the infection of ChD. Overall, these results shed light for avoiding pandemic and growing mortality rate of ChD.

KEYWORDS

Neural Network, Prediction Model, Big Data