Abstract: Acute respiratory Disease (ARD) is a viral respiratory disease caused by Severe acute respiratory syndrome (SARS), associated coronavirus. It was first identified at the end of February 2003 during an outbreak that emerged in China and spread to 4 other countries. WHO coordinated the international investigation with the assistance of the Global Outbreak Alert and Response Network (GOARN) and worked closely with health authorities in affected countries to provide epidemiological, clinical and logistical support and to bring the outbreak under control. ARD is an airborne virus and can spread through small droplets of saliva in a similar way to the cold and influenza. It was the first severe and readily transmissible new disease to emerge in the 21st century and showed a clear capacity to spread along the routes of international air travel. SARS can also be spread indirectly via surfaces that have been touched by someone who is infected with the virus. Most patients identified with SARS were previously healthy adults aged 25–70 years. A few suspected cases of ARD have been reported among children under 15 years. The case fatality among persons with illness meeting the current WHO case definition for probable and suspected cases of ARD is around 3%. This ARD is of different type, to determine the exert type one is suffering from amongst the various diseases is what we intend to achieve in this research. We shall search out the various types of Acute Respiratory Deseases, search out their various types of symptoms/Signs, determine their Distinctions, know their % relevance, and compare the relevant ratios, using Fuzzy Cluster Means (FCM) Algorithm for clustering of the signs, SQL which we employed for the database query and MysQl Server (PHPmyAdmin) which we used as the data backend (database).
Keywords: Fuzzy cluster means (FCM); Algorithm; Model, Computing, Architecture, SARS-COV-2; SARS-COV-2 (COVID-19); SARS-COV; MERS-COV; HCOV-NL63, Influenza
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DOI:
10.17148/IJARCCE.2024.131240
