Abdullahi Auwal, Shohaimi Shamarina, Kilicman Adem, Hafiz Ibrahim Mohd, Salari Nader
Institute for Mathematical Research, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
Department of Mathematics and Computer Science, Federal University Kashere, Kashere 771103, Nigeria.
Entropy (Basel). 2019 Dec 31;22(1):54. doi: 10.3390/e22010054.
A pathogen can infect multiple hosts. For example, zoonotic diseases like rabies often colonize both humans and animals. Meanwhile, a single host can sometimes be infected with many pathogens, such as malaria and meningitis. Therefore, we studied two susceptible classes S 1 ( t ) and S 2 ( t ) , each of which can be infected when interacting with two different infectious groups I 1 ( t ) and I 2 ( t ) . The stochastic models were formulated through the continuous time Markov chain (CTMC) along with their deterministic analogues. The statistics for the developed model were studied using the multi-type branching process. Since each epidemic class was assumed to transmit only its own type of pathogen, two reproduction numbers were obtained, in addition to the probability-generating functions of offspring. Thus, these, together with the mean number of infections, were used to estimate the probability of extinction. The initial population of infectious classes can influence their probability of extinction. Understanding the disease extinctions and outbreaks could result in rapid intervention by the management for effective control measures.
一种病原体可以感染多个宿主。例如,狂犬病等人畜共患病常常在人类和动物中传播。与此同时,单个宿主有时会感染多种病原体,如疟疾和脑膜炎。因此,我们研究了两个易感类别S1(t)和S2(t),每一个在与两个不同的感染群体I1(t)和I2(t)相互作用时都可能被感染。随机模型是通过连续时间马尔可夫链(CTMC)及其确定性类似物建立的。利用多类型分支过程研究了所建立模型的统计特性。由于假定每个流行类别仅传播其自身类型的病原体,除了后代的概率生成函数外,还得到了两个繁殖数。因此,这些连同平均感染数一起被用于估计灭绝概率。感染类别的初始种群会影响其灭绝概率。了解疾病的灭绝和爆发情况可促使管理层迅速采取干预措施以实施有效的控制措施。