A mathematical model for cost-effectiveness analysis and early detection of leptospirosis in human
Yükleniyor...
Tarih
2020-12-21
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-ShareAlike 3.0 United States
Attribution-NonCommercial-ShareAlike 3.0 United States
Özet
In this study, we developed a computational algorithm under stochasticity by using Markov-cycle tree and Monte Carlo
simulations for patients coming into a hospital and being suspected of leptospirosis. Our mathematical model finds an optimal treatment
strategy for the patients depending on whether they have severe or mild symptoms and whether they are late case patients who are
coming to the hospital after seven days of onset of their symptoms or early case patients who are coming to the hospital within seven
days of onset of their symptoms. The model is a useful tool to determine the treatment strategies during flood session for a large group
of patients.
Açıklama
Anahtar Kelimeler
Markov-Cycle Tree, Monte Carlo Simulations, Leptospirosis
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
6
Sayı
1
Künye
Aslan, İ. H., Lenhart, S. (2021). A mathematical model for cost-effectiveness analysis and early detection of leptospirosis in human. Journal of Abstract and Computational Mathematics, 6 (1), pp. 21-31.
