Significance of supervision sampling in control of communicable respiratory disease simulated by a new model during different stages of the disease

• Published in: Scientific reports Vol. 15; no. 1; pp. 3787 - 29
• Main Authors: Hounye, Alphonse Houssou, Pan, Xiaogao, Zhao, Yuqi, Cao, Cong, Wang, Jiaoju, Venunye, Abidi Mimi, Xiong, Li, Chai, Xiangping, Hou, Muzhou
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 30.01.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/1041; 692/700/459/1748; China - epidemiology; Computer Simulation; Coronaviruses; COVID-19; COVID-19 - epidemiology; COVID-19 - prevention & control; COVID-19 - transmission; Differential equations; Disease transmission; Disease-free equilibrium; Epidemic models; Epidemics; Epidemiological Models; Epidemiology; Government policy; Humanities and Social Sciences; Humans; Mathematical models; Models, Statistical; multidisciplinary; Ordinary differential equations; Outbreaks; Pandemics; Pandemics - prevention & control; Respiration; Respiratory diseases; Sampling; SARS-CoV-2; SARS-CoV-2 transmission; Science; Science (multidisciplinary); SEI(A)R epidemic model; Severe acute respiratory syndrome coronavirus 2; Statistical models; Supervision; Transmission rate; China; Transmission rate; SEI(A)R epidemic model; SARS-CoV-2 transmission; Disease-free equilibrium
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-025-86739-9

The coronavirus disease 2019 (COVID-19) interventions in interrupting transmission have paid heavy losses politically and economically. The Chinese government has replaced scaling up testing with monitoring focus groups and randomly supervising sampling, encouraging scientific research on the COVID-...