Modified Algorithm for Shortening Path Kruskal Algorithm to Communicate Between the Patient and The Ambulance During COVID-19
Rattachement africain : iq, Nigéria. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
The COVID-19 virus has highlighted the critical need for efficient and rapid communication between patients in distress and emergency medical services, especially ambulance dispatch systems. The following research paperpresents a adaptedalgorithm intendedto adjustthe Kruskal methodfor shortening pathwaysin communication networks linkingpatients and ambulances throughcritical situations, confirmingtimely replyand effective resource distribution. The suggested methodtakes into reflectionthe uniquechallenges posed by COVID-19, as well asthe essentialto minimize patient-ambulance interaction to decreasethe risk of viral transmission. This article shows a new technique, which effects real-time data on COVID-19 contagion rates, indications of patients, ambulance obtainability, and geographical info. In this case, we clarify how by adding these features to the Kruskal algorithm, we reach the finest paths for the best dispatch of ambulances with a perspective of minimizing the spread of the virus. The revised algorithm is designed to focus on routes with the fewest stops and contact points, enabling faster response times and reducing opportunities for disease spread.Furthermore, we present a case study demonstrating the effectiveness of our adaptedalgorithm in a simulated emergency replyscenario during the COVID-19 pandemic. Comparative analysis with traditional path-shortening algorithms showcases the superior concertof our approach in terms of replytime and safety. This showsdeliversa valuedeffectto the field of emergency medical services, offering a practical solution to address the testsposed by COVID-19 while improving overall response efficiency. The modified algorithm can be seamlessly integrated into existing ambulance dispatch systems, helping healthcare providers and emergency responders make informed decisions that prioritize both patient well-being and public health safety during these unprecedented times
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Modified Algorithm for Shortening Path Kruskal Algorithm to Communicate Between the Patient and The Ambulance During COVID-19
- Date Crossref
- 18/03/2025
- Éditeur
- Al-Furat Al-Awsat Technical University
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
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