Predicting Urinary Lithiasis Cases Using Regional Bed Numbers

Abstract

Objective: To validate a method for predicting the number of urinary lithiasis patients based on the number of hospital
beds in a region by analysing its correlation with relevant variables.
Method: The study was conducted in August and September 2023 in Guangxi Guilin region of China, and comprised data
collected from governmental and organisational sources on the number of urinary lithiasis patients, hospital beds, gross
domestic product per capita, education, and living standards in the specific area. Descriptive, correlation, and multiple
regression statistical data along with geographic information system parameters were noted. Data was analysed using
Prism 10.
Results: A positive correlation was found for the number of urinary lithiasis patients with the total population and the
number of hospital beds, but no correlation was found with gross domestic product per capita. The number of urinary
lithiasis patients could be calculated using the formula: y = 0.44x - 38.252, where y was the number of patients, and x was
the number of hospital beds.
Conclusion: The detection rate of district-specific diseases as positively linked to the number of hospital beds and the area
population. The method provided a benchmark for detecting common diseases in other regions and offered practical early
warning option for prevention and early intervention.
Keywords: Region, Detection rate of the disease, Total number of beds, Correlations, Forecast.