Monitoring scheme for early detection of coronavirus and other respiratory virus outbreaks

Abstract

In December 2019, an outbreak of pneumonia caused by a novel coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) began in Wuhan, China. SARS-CoV-2 exhibited efficient person-to-person transmission of what became labeled as COVID-19. It has spread worldwide with over 83,000,000 infected cases and more than 1,800,000 deaths to date (December 31, 2020). This research proposes a statistical monitoring scheme in which an optimized np control chart is utilized by sentinel metropolitan airports worldwide for early detection of coronavirus and other respiratory virus outbreaks. The sample size of this chart is optimized to ensure the best overall performance for detecting a wide range of shifts in the infection rate, based on the available resources, such as the inspection rate and the allowable false alarm rate. The effectiveness of the proposed optimized np chart is compared with that of the traditional np chart with a predetermined sample size under both sampling inspection and 100% inspection. For a variety of scenarios including a real case, the optimized np control chart is found to substantially outperform its traditional counterpart in terms of the average number of infections. Therefore, this control chart has potential to be an effective tool for early detection of respiratory virus outbreaks, promoting early outbreak investigation and mitigation.

A Highly Sensitive Dual-Drive Microfluidic Device for Multiplexed Detection of Respiratory Virus Antigens

“…Early identification of pathogenic agents is of great importance in monitoring and controlling infectious disease epidemics [ 30 , 31 , 32 ], especially since the impact of the COVID-19 pandemic has reinforced the need for rapid, sensitive, reliable, and cost-effective POCT devices for large-scale population screening [ 33 , 34 ]. Compared with traditional detection platforms, microfluidic technology integrates multiple reaction processes into a single microchannel, which has the advantages of lower reagent usage, streamlined operation, and improved portability while at reduced cost [ 20 , 35 , 36 ].…”

A Quantitative Analysis Technique for Early Detection of Respiratory Virus in Lung Region Using PNN

“…A few intrusive estimation procedures are proposed to gauge Breathing Rate (BR) such as electrical impedance tomography [6]. In any case, the conventional BR estimation strategies depend on uncommon electronic sensors, and skin-contact required by rebellious brings much bother and inconvenience to individuals [7,8]. In this case, computer vision analysts propose non-contact farther BR estimations from visual information to screen the Breathing Rate.…”

Global contribution of statistical control charts to epidemiology monitoring: A 23-year analysis with optimized EWMA real-life application on COVID-19

“…They could serve as indicators of the occurrence of infectious illnesses. [4][5][6][7][8][9] Moreover, disease monitoring allowed researchers to ascertain seasonal or cyclical patterns in the incidence of the condition as well as if it was growing or decreasing. The effectiveness of an intervention in reducing the number of incidents before and after implementation may be ascertained by intervention evaluation.…”