Modelling of hand foot and mouth disease

Effective prediction and surveillance of communicable diseases are vital for public health management. This study leveraged machine learning algorithms to predict disease occurrences in the Province of Marinduque, focusing on Hand Foot Mouth Disease, Dengue, Typhoid, Influenza, Chikungunya, Rabies, Measles, Meningitis, Hepatitis, and Acute Bloody Diarrhea using data from 2015 to 2019.

10p vigojek 02-02-2024 4 1   Download

In this study, we proposed and analyzed a mathematical model to study the dynamics of hand foot mouth disease with effects of limited public health resources. The model is analysed using stability theory of differential equations and computer simulations. Sensitivity analysis is carried out to show the effects of model parameters to disease spread and control. The results showed that there were two equilibrium points; disease-free equilibrium and endemic equilibrium point.

12p trinhthamhodang9 10-12-2020 15 1   Download

The incidence rate was 106 cases per 100,000 population. The age-specific incidence rate for Hand, foot and mouth disease was highest in the age group of 1 - 3 years old (75.04%). The major aetiologic agents were EV - 71 (52.6%), CV - A6 (21.8%). R0 ranged from 1.0077 - 2.4883. The greatest burden of Hand, foot and mouth disease is in the under five years old age range. Under present conditions, hand, foot and mouth disease will continue to persist in Haiphong. Interventions should target the high risk populations and areas.

12p nguyentuananh2502 03-04-2019 29 0   Download