Self-Similar Characteristics of COVID-19 Patient arrival at Healthcare Centre – A Study Using Queuing Models

The entire world is spreading of coronavirus-COVID-19 has increased exponentially across the globe, and still, no vaccine is available for the treatment of patients. The crowd has grown tremendously in the hospitals where the facilities are minimal. The queue theory is applied for the Single-server system and its self-similarity existence in a queue used to identify the queue time, waiting time, and Hurst parameter by different patient arrivals methods Health care center in our local area located in Hosapete, Ballari district, Karnataka. Due to more arrivals to the health care center for the identification and confirmation of disease covid-19. This study paper presents a sequential queuing model for estimating infections' detection and identification in severe loading conditions. The goal is to offer a simplified probabilistic model to determine the general behavior to predict how long the treatment cycle will diagnose and classify people already tested and get negative or positive results. For this type of Method, there are some graphical representations of the various measurement criteria. The modelling results showed that the patient's waiting period in the course of inquiries, detections, detecting, or treating COVID-19 in the event of imbalances in the system as a whole rise following the logarithm rule.

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Non-Fatal Deliberate Self-Harm in Three Remote Indigenous Communities in Far North Queensland, Australia

Crisis ◽

10.1027/0227-5910/a000589 ◽

2019 ◽

Vol 40 (6) ◽

pp. 422-428 ◽

Cited By ~ 1

Author(s):

Chris Rouen ◽

Alan R. Clough ◽

Caryn West

Keyword(s):

Health Care ◽

Primary Health Care ◽

Care Center ◽

Indigenous Communities ◽

Indigenous Australians ◽

Deliberate Self Harm ◽

Health Care Center ◽

Far North ◽

Primary Health ◽

Self Harm

Abstract. Background: Indigenous Australians experience a suicide rate over twice that of the general population. With nonfatal deliberate self-harm (DSH) being the single most important risk factor for suicide, characterizing the incidence and repetition of DSH in this population is essential. Aims: To investigate the incidence and repetition of DSH in three remote Indigenous communities in Far North Queensland, Australia. Method: DSH presentation data at a primary health-care center in each community were analyzed over a 6-year period from January 1, 2006 to December 31, 2011. Results: A DSH presentation rate of 1,638 per 100,000 population was found within the communities. Rates were higher in age groups 15–24 and 25–34, varied between communities, and were not significantly different between genders; 60% of DSH repetitions occurred within 6 months of an earlier episode. Of the 227 DSH presentations, 32% involved hanging. Limitations: This study was based on a subset of a larger dataset not specifically designed for DSH data collection and assesses the subset of the communities that presented to the primary health-care centers. Conclusion: A dedicated DSH monitoring study is required to provide a better understanding of DSH in these communities and to inform early intervention strategies.

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