Complexity

Complexity / 2021 / Article

Research Article | Open Access

Volume 2021 |Article ID 5529987 | https://doi.org/10.1155/2021/5529987

Yue Liu, Ioannis Magouras, Wing-Cheong Lo, "Modelling and Analyzing the Potential Controls for Neospora caninum Infection in Dairy Cattle Using an Epidemic Approach", Complexity, vol. 2021, Article ID 5529987, 15 pages, 2021. https://doi.org/10.1155/2021/5529987

Modelling and Analyzing the Potential Controls for Neospora caninum Infection in Dairy Cattle Using an Epidemic Approach

Academic Editor: Toshikazu Kuniya
Received22 Feb 2021
Revised07 Apr 2021
Accepted20 Apr 2021
Published03 May 2021

Abstract

Neospora caninum (N. caninum) infection, one of the major causes of abortions in dairy cattle, has brought a huge loss to farmers worldwide. In this study, we develop a six-compartment susceptible-infected model of N. caninum transmission which is later reduced to a two-equation system. Potential controls including medication, test-and-cull, and vaccination are proposed and analyzed, and the corresponding reproduction numbers are derived. The conditions for the global stabilities of disease-free and endemic equilibria are investigated with analytical solutions and geometric approach. Furthermore, uncertainty and sensitivity analysis shows that three control strategies are effective towards the varied environment, whereas the effectiveness of each measure highly depends on parameters related to control actions. Dynamics of reproduction numbers illustrate that disease elimination can be achieved by three types of controls: (1) adopting medication with medicine efficacy higher than 0.4 to prevent vertical transmission, (2) implementing test-and-cull with culling coverage larger than 0.3, and (3) taking vaccine with coverage larger than 0.1. Numerical results suggest that preventive measures should at least include the prevention of access of other hosts, such as dogs, to cattle; otherwise, these control measures will lose effectiveness. Our presented study provides guidance for decision-making on N. caninum infected farm management.

1. Introduction

Neospora caninum (N. caninum) is a coccidian parasite which has been widely recognized as the predominant infection in dairy cattle [13]. The major transmission route is transplacental invasion of the embryo or fetus [4, 5]. Moreover, cattle can also be infected horizontally by the seropositive ones within herd where N. caninum circulates endemically [5, 6] or other hosts from wildlife [7] by ingestion of food or drinking water contaminated by sporulated oocysts. Its transmission is associated with high abortion risk [8, 9], low milk yields due to adversely affected organ system functions, reduced weight gain, and premature culling [10]. The N. caninum infection in cattle is thus recognized as a major cause of abortion and economic loss to dairy industry worldwide [13, 11]. Due to N. caninum, around 46.4 million cattle are reported to be at risk of abortion each year in different countries and more than US $1.3 billion annual loss is caused in livestock [12]. As a result, all these losses stimulate a number of research works in several important areas, including improving our understanding of the transmission routes, quantifying the impact of N. caninum infection on production, and developing controls for preventing transmission.

Mathematical modelling has become a powerful tool in fully understanding and precisely describing the mechanisms of disease transmission [1315]. In the context of N. caninum, French et al. [16] firstly proposed a system of nonlinear differential equations to describe the transmission of N. caninum and explored possible implementations by controlling key parameters to reduce infection. Larson et al. [17] used a 5-year simulation model to compare the control strategies and results show that, of the potential control strategies evaluated, testing the entire herd for N. caninum infection and excluding the daughters of seropositive dams provided the best economic return. Later on, Häsler et al. [18] used 12 age groups to depict the cattle population and investigated the impact of four controls, including test-based culling, medication, vaccination, and selective breeding of offspring, on population dynamics with computer simulations. Subsequently, Reichel et al. [19] developed a model using decision tree analysis to determine the relative cost/benefit relationship of various control options of N. caninum infection. However, these works are mostly confined in numerical simulations to assess potential control options and much of the epidemiology of N. caninum transmission remains poorly understood. Therefore, we will establish an epidemiological model with key aspects of N. caninum transmission in dairy cattle. With the well-constructed model, we proceed to the assessment of potential control strategies from an epidemiological point of view.

The organization of our study is therefore as follows. In Section 2, we construct the mathematical model of N. caninum transmission incorporating vertical and horizontal infections with a system of nonlinear differential equations. The basic reproduction number is derived and global stability of both disease-free and endemic equilibria is proved. In Section 3, to prevent the N. caninum transmission, we consider three potential controls including medication, test-and-cull, and vaccination and give the corresponding control reproduction numbers. Global stabilities of the disease-free and endemic equilibrium points are investigated through an analytical solution or using a geometric approach. In Section 4, uncertainty and sensitivity analysis towards the varied environment is developed. We will discuss the effectiveness of three controls on the basis of reproduction number. Furthermore, we reveal the impact of the external source of infection. Finally, in Section 5, some conclusions are drawn.

2. Methods

2.1. Model Description and Construction

We present an epidemiological model based on the work [16, 18] to describe the dynamics of N. caninum-infected dairy cattle in Switzerland. The model is designed by dividing the farm into three age-groups according to their fertility status. It thus consists of offspring , heifers , and cows which represent the practical age 0–1, 1–2, and , respectively. Each age group is further categorized into two epidemiological states: susceptible and infected . Therefore, continuous-time variables , , and denote the number of three susceptible age groups and , , and denote the number of three infected age groups. In our model, the farm is taken as the fundamental epidemiological unit, and thus, the between-herd transmission is neglected. The farm is kept constant in size and open with replacement or culling, and only female animals are included.

Two major routes, vertical and horizontal infections, account for the N. caninum transmission in dairy herd. Vertical infection is the transfer of parasites from dams to offspring by transplacental route. Studies from different regions have provided strong evidence that this mode of transmission is highly efficient and the efficiency was reported to range from 81% to 95% [5, 20, 21]. The calves born from infected mothers have a possibility to be susceptible without vertical infection rate . Susceptible and infected animals have the same pregnancy rate but the infected category has a two-to four-fold abortion risk of susceptible one due to N. caninum [18, 22]. We assume a four-fold abortion risk in this study. On the contrary, the horizontal transmission process consists of within-herd level and outside-herd level (external source of infection). Potential sources of within-herd transmission include pooled colostrum or milk from infected cattle [23] and infected placenta or amniotic fluid or oocyst-contaminated feed which is therefore described as age-dependent infection force with a prevalence dependent factor . There is evidence suggesting that cattle may be infected by a definitive host, a dog or possibly other canids [24], and this external source of infection is denoted by a constant per-capita force .

Besides the vertical and horizontal transmissions, each age group has an outflow due to voluntary culling which includes natural death, sale, or slaughter. A proportion of animals will flow to the next age group due to aging. Furthermore, some animals will be bought from or sold to the market at a rate to balance the population. The population dynamics of N. caninum infected dairy cattle are described by the following equations:where the horizontal transmission function and with , , , , , and . To reduce the complexity without losing key features, we assume that offspring, heifers, and cows maintain a constant proportion , , and in the combined susceptible category and infected category, that is,where the values of , are later estimated by the proportions of offspring, heifers, and cows at the steady state of system (1). Then, the six-equation system (1) is reduced to a two-equation model with the horizontal transmission function . To keep a high-quality farm, mature animals inferior to genetic qualities would be removed by farmers each year. Removal could be the departure of animals that are surplus to herd requirement, producing low yield or avoiding accumulation. For immature animals (in age group 1 or 2), culling rates, and , are only due to mortality . Whereas the culling rates of mature animals (in age group 3), and , consist of basic mortality and varied removal rate . It thus reflects that , and , . Detailed flow diagram with six compartments, , , , , , and describing the dynamics of N. caninum transmission among cattle is illustrated in Figure 1, and the interpretations of variables and parameters are shown in Table 1. It hence suffices to consider the reduced two-equation system:where the reliability of this model reduction will be verified by numerical simulations later in Section 4. With the balanced population, the net growth of population should be 0, and hence, the varied buying or selling rate is determined by . Considering closed population , it is not difficult to see that solution domain is positively invariant and attracting all orbits for any nonnegative initial point. Thus, model (3) is mathematically and epidemiologically well posed in .


NotationDefinitionUnitValueReference

Buying or selling rate of animals
Pregnancy rate0.30[18, 25]
Abortion rate of susceptible cowUnitless0.02[18]
Abortion rate of infected cowUnitless0.08[18, 22]
Horizontal infection rate
Vertical infection rate of infected cowUnitless0.90[18, 20]
Prevalence dependent factorUnitless0.028[16, 18]
Proportion of offspringUnitless0.25Estimated
Proportion of heifersUnitless0.25Estimated
Proportion of cowsUnitless0.50Estimated
Mortality rate0.10[18]
Removal rate0.095Assumed
Recovery rate of dams0.60Assumed
External transmission coefficient0–0.07Assumed
Culling proportion in test-and-cullUnitless0.70Assumed
Specificity of serological testUnitless0.98[18]
Sensitivity of serological testUnitless0.96[18]
Coverage rate of vaccinationUnitless0.50Assumed
Efficacy of vaccinationUnitless0.90[18, 26]
Abortion rate of vaccinated infected cowUnitless0.06[18, 26]
Vertical infection rate of vaccinated infected cowUnitless0.40Assumed

2.2. The Reproduction Number

In epidemiology, the basic reproduction number is one of the most important thresholds. It indicates the expected number of secondary cases caused by an infected individual during the infectious period with a fully susceptible population [27]. If it is larger than one, the disease will spread in the population; if it is smaller than one, the disease will die out. Therefore, the reproduction number of controls can be used to assess the effectiveness of strategies. Due to the outside herd transmission term , which acts as an infection reservoir, there is no disease-free equilibrium. If a farm applies good external biosecurity, horizontal infection is only possible within herd. In the absence of an external infection source, i.e., , system (3) admits a disease-free equilibrium . We proceed with the Jacobian approach, and thus, it leads to the basic reproduction number:where interprets the lifespan of an infected cow and interprets the number of secondary infections produced by a single infected cow per unit of time. Specifically, is the new infection from vertical transmission and represents the new cases from the horizontal transmission.

Theorem 1. For system (3), is defined as (4), and we have(a)If , the disease-free equilibrium is globally asymptotically stable(b)If , the disease-free equilibrium is unstable and there exists an endemic equilibrium with and which is globally asymptotically stable

Proof. It is not difficult to see that system (3) can be analytically solved. The solution of infected group leads to , where is the constant determined by initial condition. With the derived control reproduction number in equation (4), can be written as , when and as ; when , as . Therefore, it concludes that is globally asymptotically stable whenever , and is globally asymptotically stable whenever . The proof is completed.

3. Stability Analysis of Each Control Strategy

To control the spread of N. caninum, different control measures that intrinsically lie in reducing the vertical transmission or the risk of horizontal infection of N. caninum have been suggested. To date, three kinds of interventions including medication, test-and-cull, and vaccination are typically recommended [18, 19, 28, 29]. We construct a control model first and then compute the control reproduction number. Global stabilities of disease-free and endemic equilibria are further investigated whether using an analytical solution or a geometric approach [30, 31].

3.1. Medication

One of the promising strategies for controlling bovine neosporosis is through chemotherapy on newborn offspring. Currently, no available medicine has been proved to be effective. However, the treatment can also be discussed in advance since it may be available at a later stage. An experimental chemotherapeutic treatment study [32] found that following treatment of calves with ponazuril, parasite loads were reduced in the brain. An experiment with infected mice [33] supported that treatment could considerably reduce the diaplacental passage of the parasite from dam to the fetal brain. Therefore, we assume that chemotherapy was able to block transplacental transmission of N. caninum in cattle. All calves born from infected mothers will be treated without previous testing, and thus, chemotherapy treatment on neonatal calves from infected dams had a proportion to recover. This portion of recovered calves would flow into noninfected category. As for the population structure, only the number of new birth flowing into the susceptible group will change:

If there is no medicine treatment, i.e., , system (5) is reduced to the baseline case (3). The control reproduction number of medication is

Compared to , a reduction term is multiplied to vertical transmission and thus . When , the system admits an endemic equilibrium with and . Based on Theorem 1 and being replaced by , the following stability result can be obtained.

Corollary 1. For system (5), is defined as (6), and we have(a)If , the disease-free equilibrium is globally asymptotically stable(b)If , the disease-free equilibrium is unstable and there exists an endemic equilibrium with , which is globally asymptotically stable

3.2. Test-and-Cull

Test-based culling is an efficacious and practical intervention [20]. Currently, the diagnostic test is conducted by blood sampling which is combined with the regular bulk-milk monitoring system [34]. Once animals are tested seropositive, they will be either slaughtered or sold. With this control strategy, the culling is regarded as a continuous action and the culling rate is set to . The susceptible individuals that were wrongly identified seropositive by test and the infected individuals that were correctly classified are identified as seropositive. The dynamics of the model considering test-based culling are described as follows:where the varied buying or selling rate , to keep a closed population.

If there is no any testing-based culling and replacement, i.e., , , and , it thus corresponds to baseline model (3). In general, the control reproduction number of test-and-cull case iswhere interprets the lifespan of an infected cow and is the new infection coming from vertical transmission and represents the new cases from horizontal transmission. When , there exists an endemic equilibrium with and .

Theorem 2. For system (7), is defined as (8), and we have(a)If , the disease-free equilibrium is globally asymptotically stable(b)If , the disease-free equilibrium is unstable and there exists an endemic equilibrium with , which is globally asymptotically stable

Proof. The solution of the infected group in system (7) gives , where is determined by initial condition. When , as ; when , as . Therefore, it concludes that is globally asymptotically stable whenever , and is globally asymptotically stable whenever . The proof is completed.

3.3. Vaccination

To study control through vaccinating, two compartments, susceptible vaccinees and infected vaccinees , will be added to the baseline case. Susceptible and infected individuals were vaccinated at a yearly coverage rate and vaccine efficacy was assumed to be . A life-long time immunity is assumed. If the individual was susceptible, it became susceptible vaccinee at the rate after the successful vaccination and it could not become infected due to the protection by the vaccine. If the individual was infected, it became infected vaccine at the rate after the successful vaccination. Susceptible vaccines have the same pregnancy rate , abortion rate , death rate , and removal rate as susceptible individuals but are unable to be infected. It was assumed that the vaccine could reduce the risk of abortion and the vertical transmission from dam to offspring. Thus, the infected vaccinees have a lower abortion rate compared to infected animals since vaccinated infected cows will be protected from N. caninum-caused abortion. Moreover, the vertical transmission rate is also reduced while other characteristics are the same as . The dynamic model with vaccination is

If , which means that no vaccine has been taken, , and , model (9) is reduced to baseline case (3). Similarly, the buying or selling rate of animals is allowed to vary to maintain population with size , and therefore, it yields in the positively invariant region . It can be seen that model (9) owns a disease-free point with and . Following the next generation matrix approach [27], we obtain the interpreting the production rate of new infections and the representing the remaining transitional terms:

Then, the derivatives of and evaluated at disease-free equilibrium , respectively, give and :

Thus, the control reproduction number given by the spectral radius of iswhere consists of the number of secondary infections produced by an infected cow and an infected vaccine. The first two terms give the new infection cases in infected group from vertical and horizontal transmission routes, respectively. The third term, which interprets the secondary cases produced by an infected vaccinee , has two components. is the number of infected cow flowing to infected vaccine group in the unit time, and infected vaccine generates infections during the life time . Moreover, system (9) has an endemic equilibrium with , which is equivalent to , , and . Thus, the endemic equilibrium exists whenever .

Lemma 1. If , system (9) admits the disease-free equilibrium . If , the system has the unique endemic equilibrium with , , , and .

Next, we show the global stability of disease-free point following the comparison theorem developed by [35], and further, we investigate the global stability of endemic equilibrium with the geometric approach [30, 31], which was adopted by many researchers (see [36, 37]). Using the relation , one shall reduce (9) to the equivalent system:where the solution domain is positively invariant with respect to system (13). Following Castillo-Chavez [35], system (13) is rewritten in the formwhere denotes the number of uninfected individuals and denotes the number of infected individuals including and . Thus, and . Two conditions (H1) and (H2) below must be satisfied to guarantee the global asymptotic stability of :(H1)For , is globally stable(H2), for , where is an M matrix

Lemma 2 (see [36]). The fixed point is globally asymptotically stable provided that assumptions (H1) and (H2) are satisfied.

Theorem 3. The disease-free equilibrium is globally asymptotically stable if .

Proof. Let and . Then, and . As , . Hence, is globally asymptotically stable. Furthermore, in , we haveNotice that is an M matrix since it has Z pattern, that is, the off-diagonal elements are nonpositive and all the leading principal minors of are positive with the conditions and , and moreover, it is clear that . Hence, the above conditions (H1) and (H2) are satisfied, and by Lemma 1, this completes the proof.

Now, we study the global stability of endemic equilibrium by the geometric approach. A brief outline of this approach can be found in [30, 31].

Theorem 4. Suppose and . The endemic equilibrium is globally asymptotically stable in if .

Proof. The Jacobian matrix of system (13) iswith , , and . Then, its associated second additive compound matrix isWe choose the matrix function and then , where matrix is obtained by replacing each entry of by its derivative in the direction of solution of (13). Thus, the matrix can be written in the block form as follows:withLetting denote the vector in , we define the following norm in :and let denote the Lozinskii measure with respect to this norm:Then, following [38], we havein which and . Here, and are matrix norms with respect to vector norm and denotes the Lozinskii measure with respect to vector norm. With these definitions, and since , , andThen, for and , we havewhere is a positive constant since and . Consequently, , where . Along each solution of (10) with , we thus havewhich implies thatfor any . By the results in [30, 31], the unique equilibrium is globally asymptotically stable in if . This completes the proof.

Remark 1. If , susceptible population will decay towards a negative point where the entire population will become infected. In this situation, we assume that all the populations are infected. It is the worst case that farm managements do not expect it happen.

4. Results and Discussion

We present the numerical simulation of the proposed model to verify the analytical results. A fourth-order Runge–Kutta numerical method is used. Parameter values are provided in Table 1 either by consulting previous literatures [18, 25, 26, 28] or by estimating from distributions. The external infection source is set to zero in all cases except the discussion in Section 4.3 where the impact of external infection is investigated. Assume the parameter obeys uniform distribution , so the mean value is 0.6 as indicated in Table 1. Similarly, parameters , , and obey uniform distribution , , and , respectively. In particular, steady-state information of six-equation system (1) is incorporated in estimating , , and . That is the proportions of offspring, heifers, and cows are estimated from the steady state in (1) which results in and . To verify the reliability of model reduction, dynamics of all states obtained by the six-equation model (1) are presented in Figure 2. A case with initial prevalence demonstrates that reduced model (3) possesses the same prevalence at the endemic state and thus shows the feasibility of model reduction.

Dynamics of the baseline case shown in Figure 3 verify Theorem 1. When , is the unique equilibrium and N. caninum dies out from farm. That different initial prevalence decays to and evidences the global stability numerically. When , is the only endemic equilibrium and N. caninum persists with 27% prevalence. The baseline case, which does not include any additional control measure targeting N. caninum transmission, was considered as a reference.

4.1. Global Uncertainty and Sensitivity Analysis

To evaluate the effect of parameters on the basic reproduction number and control production numbers , , and , we performed global uncertainty and sensitivity analysis. Each parameter is assigned a probability distribution or being varied uniformly within 20% of its value in Table 1 and the parameter sample size is 1000.

In the baseline case shown in Figure 4(a), most realizations of (96%) maintain being larger than unity towards varied environments. This confirms the biological observation that N. caninum is endemic and could rarely die out in cattle populations without intervention. The frequency distribution of ranges from 0.95 to 1.35 with a mean value of 1.1154 which indicates that an infected animal may infect 1 or 2 susceptible animals during the infectious period. Figures 4(b)4(d) depict frequency distributions of (medication), (test-and-cull), and (vaccination), respectively. With the chemotherapy (see Figure 4(b)), frequency distribution of shifts left less than 1 with mean value 0.5916. Strategy by test-based culling (see Figure 4(c)) is however more effective with ranging from 0.2 to 0.5 and the average is 0.3284. Control of taking vaccine continuously (see Figure 4(d)) is the most stable option with the least varied range of control reproduction number. Moreover, vaccination is also effective with mean value 0.6579 ranging from 0.28 to 0.72. The analysis reveals that three controls are all effective considering controlling the N. caninum spreading among dairy. Furthermore, control strategies of test-and-cull and vaccination are much more stable concerning the uncertain environment which confirms the conclusion given in [26].

Sensitivity analysis investigates the impact of parameter uncertainties on the overall output. Pearson correlation coefficient (PEAR) is used to quantify the effect of parameters on reproduction numbers in baseline and control cases in Figure 5. Without any intervention, the pregnancy rate , vertical infection rate , and mortality rate play an important role in determining the basic reproduction number . With treatment, the recovery rate is the most crucial parameter and becomes less effective since treatment on offspring born from the infected dam partially blocked the vertical infection route. When test-and-cull or vaccination is applied, the vertical transmission rate also shows less impact. This is explained that with test-based culling, seropositive individuals have been culled, and thus, the risk of vertical infection is reduced. With the continuous vaccination, a portion of successfully vaccinated animals will be protected from N. caninum, and this portion has a lower risk of passing the disease to their daughters. Thus, is observed to be less effective and the vertical infection rate of vaccinated infected cow becomes the most influential parameter. It is noticed that the control reproduction number highly depends on the parameters related to control actions in the three measures. In particular, the recovery rate of dams and culling proportion are the most influential parameters in medication and test-and-cull, respectively. Whereas, in vaccination strategy, vaccination coverage rate is most significant except the vertical transmission rate of infected cow and the vertical infection rate of vaccinated infected cow .

4.2. Effectiveness of Control Strategies

Evaluation of control options can focus on the effect on control reproduction number which helps to gain an insight into the effectiveness. Using expressions (6), (7), and (12), we discuss the effectiveness of medication, test-and-cull, and vaccination based on the performance of , , and . In Figure 6, the reproduction numbers of different controls are plotted against different parameters induced by additional management action. The parameters include the recovery rate of dams , the culling rate of seropositive individuals , the vertical infection rate of vaccinated infected cow , and the coverage of vaccination while these factors have shown a major impact in the sensitivity analysis (see Figure 5). When medication is applied, the influential parameter, the recovery rate of offsprings , appears as a reduction term multiplied to the vertical transmission route. Figure 6(a) illustrates that decreases over , while the lowest efficacy to prevent vertical transmission is around 0.4 to maintain the effectiveness of treatment. Additional management actions, testing and culling, are taken in the test-and-cull control strategy. Similarly, Figure 6(b) shows decreases over the culling proportion , and the lowest culling rate around 0.3 is suggested. With the implementation of taking vaccine, the reproduction number almost maintains lower than 1 except with a rather low vaccination coverage rate (around 0.1). Although the vertical transmission rate of vaccinated infected cows shows a major impact on according to uncertainty analysis, the effectiveness of rarely depends on as illustrated in Figure 6(d). Figures 6(c) and 6(d) evidence that vaccination is the most stable and effective option due to the superiority in reducing the risk of abortion and preventing horizontal transmission simultaneously.

4.3. Impact of External Source of Infection

External infections of N. caninum may arise from other hosts outside the herd. For example, dogs can shed oocysts of N. caninum and contaminate the environment. In reality, external sources of transmission may be hard to eliminate especially for a large farm or farm with poor biosecurity. At present, no reliable value can be given to external transmission parameter based on either field or experimental data, and thus, is at least plausible referred to [16]. Figure 7 illustrates the effect of varied external source of contamination on reducing prevalence. At , the disease diminishes to zero with the help of three measures. When the outside-herd level transmission increases from 0 to 0.07, within-herd prevalence moves away from the disease-free state in test-and-cull and medication cases (the same in the baseline case). Whereas, with vaccine dose, the disease-free state shifts slightly upward. The external source of infection has relatively less impact on the persistence in the vaccination control strategy.

The presence of external sources of infection can increase the prevalence and reduce control efficiency. Even in the disease-free state, small external sources of infection can cause a significant growth of prevalence, especially in medication and test-and-cull scenarios. This reminds us that test-based culling of seropositive animals and medical treatment on offspring should be done only if the external sources of transmission by Neospora-oocysts are prevented. Overall, for farms with good biosecurity where other hosts outside herd are prevented, medication, test-and-cull, and vaccination will be effective measures. However, once this condition is not satisfied, these potential controls lose the ability to eliminate the disease.

5. Conclusion

In this research, we develop the epidemiological model for N. caninum transmission in cattle without control or with a single control strategy of medication, test-and-cull, or vaccination. The system of six-equation is reduced to a two-equation model where the most influential indicator, the basic reproduction number, is derived. Using the analytical solution or geometric approach, we have investigated the global asymptotic stability of the disease-free and endemic equilibria. Uncertainty analysis demonstrates that N. caninum could rarely die out without intervention. All three control strategies, including medication, test-and-cull, and vaccination, are verified to be effective even with the varied dairy management or environment, and more importantly, vaccination is the most stable measure towards the changeable inputs. This simultaneously confirms the results in the previous study [26]. Sensitivity analysis with respect to input parameters reveals the key factors which mainly lie in parameters related to additional management-related actions. Furthermore, dynamics of control reproduction number against these key factors suggest the lowest efficacy to achieve effectiveness, such as adopting medication with medicine efficacy higher than 0.4 to prevent vertical transmission or implementing test-and-cull with culling coverage larger than 0.3. Vaccination, however, provides a rather loose constraint that the vaccine covering rate higher than 0.1 is enough to keep control effective. Our analysis of external infection has shown that rather a low level of external infection is important since the disease could change from extinction to persistence. It suggests that N. caninum transmission can be effectively controlled by medicine treatment, selected culling of seropositive cows, or vaccination, provided external sources of infection are controlled. Preventive measures should at least include the prevention of access of other hosts, such as dogs, to cattle by strict hygiene measures. Otherwise, these controls lose effectiveness.

The dynamical model established in this study focuses on a single farm which is assumed to be homogeneous mixing. Whereas, the spatial motions of animals are also important for controlling the disease. Therefore, it is necessary to consider the diffusion of animals during the disease spread which will lead to the partial differential equations [39, 40, 41, 42, 43]. This issue will be well explored in the future study.

Data Availability

The parameter values used to support the findings of this study are included within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

Acknowledgments

This work was supported by CityU Strategic Research Grants (Project nos. CityU 11303719 and CityU 11301520). Yue Liu would like to thank the University Grants Committee (UGC) in Hong Kong for the financial support.

References

  1. W. Wouda, J. P. Dubey, and M. C. Jenkins, “Serological diagnosis of bovine fetal neosporosis,” The Journal of Parasitology, vol. 83, no. 3, pp. 545–547, 1997. View at: Publisher Site | Google Scholar
  2. J. P. Dubey, “Review of Neospora caninum and neosporosis in animals,” The Korean Journal of Parasitology, vol. 41, no. 1, pp. 1–16, 2003. View at: Publisher Site | Google Scholar
  3. D. J. Wilson, K. Orsel, J. Waddington et al., “Neospora caninum is the leading cause of bovine fetal loss in British Columbia, Canada,” Veterinary Parasitology, vol. 218, pp. 46–51, 2016. View at: Publisher Site | Google Scholar
  4. J. Paré, M. C. Thurmond, and S. K. Hietala, “Congenital Neospora caninum infection in dairy cattle and associated calfhood mortality,” Canadian Journal of Veterinary Research, vol. 60, no. 2, pp. 133–139, 1996. View at: Google Scholar
  5. H. C. Davison, A. Otter, and A. J. Trees, “Estimation of vertical and horizontal transmission parameters of Neospora caninum infections in dairy cattle,” International Journal for Parasitology, vol. 29, no. 10, pp. 1683–1689, 1999. View at: Publisher Site | Google Scholar
  6. C. J. M. Bartels, I. Huinink, M. L. Beiboer et al., “Quantification of vertical and horizontal transmission of Neospora caninum infection in Dutch dairy herds,” Veterinary Parasitology, vol. 148, no. 2, pp. 83–92, 2007. View at: Publisher Site | Google Scholar
  7. H.-P. Fuehrer, I. Blöschl, C. Siehs, and A. Hassl, “Detection of Toxoplasma gondii, Neospora caninum, and Encephalitozoon cuniculi in the brains of common voles (Microtus arvalis) and water voles (Arvicola terrestris) by gene amplification techniques in western Austria (Vorarlberg),” Parasitology Research, vol. 107, no. 2, pp. 469–473, 2010. View at: Publisher Site | Google Scholar
  8. R. Atkinson, R. Cook, L. Reddacliff et al., “Seroprevalence of Neospora caninum infection following an abortion outbreak in a dairy cattle herd,” Australian Veterinary Journal, vol. 78, no. 4, pp. 262–266, 2000. View at: Publisher Site | Google Scholar
  9. D. U. Pfeiffer, N. B. Williamson, M. P. Reichel, J. J. Wichtel, and W. R. Teague, “A longitudinal study of Neospora caninum infection on a dairy farm in New Zealand,” Preventive Veterinary Medicine, vol. 54, no. 1, pp. 11–24, 2002. View at: Publisher Site | Google Scholar
  10. J. Hernandez, C. Risco, and A. Donovan, “Association between exposure to Neospora caninum and milk production in dairy cows,” Journal of the American Veterinary Medical Association, vol. 219, no. 5, pp. 632–635, 2001. View at: Publisher Site | Google Scholar
  11. J. P. Dubey and D. S. Lindsay, “A review of Neospora caninum and neosporosis,” Veterinary Parasitology, vol. 67, no. 1-2, pp. 1–59, 1996. View at: Publisher Site | Google Scholar
  12. M. P. Reichel, M. Alejandra Ayanegui-Alcérreca, L. F. P. Gondim, and J. T. Ellis, “What is the global economic impact of Neospora caninum in cattle-the billion dollar question,” International Journal for Parasitology, vol. 43, no. 2, pp. 133–142, 2013. View at: Publisher Site | Google Scholar
  13. C. Li, Z.-G. Guo, and Z.-Y. Zhang, “Transmission dynamics of a brucellosis model: basic reproduction number and global analysis,” Chaos, Solitons & Fractals, vol. 104, pp. 161–172, 2017. View at: Publisher Site | Google Scholar
  14. A. Abidemi, M. I. Abd Aziz, and R. Ahmad, “Vaccination and vector control effect on dengue virus transmission dynamics: modelling and simulation,” Chaos, Solitons & Fractals, vol. 133, Article ID 109648, 2020. View at: Publisher Site | Google Scholar
  15. J. Liang, Z. Zhao, and C. Li, “Rich dynamics of a brucellosis model with transport,” Complexity, vol. 2020, Article ID 5050393, 7 pages, 2020. View at: Publisher Site | Google Scholar
  16. N. P. French, D. Clancy, H. C. Davison, and A. J. Trees, “Mathematical models of Neospora caninum infection in dairy cattle: transmission and options for control,” International Journal for Parasitology, vol. 29, no. 10, pp. 1691–1704, 1999. View at: Publisher Site | Google Scholar
  17. R. L. Larson, D. K. Hardin, and V. L. Pierce, “Economic considerations for diagnostic and control options forNeospora caninum-induced abortions in endemically infected herds of beef cattle,” Journal of the American Veterinary Medical Association, vol. 224, no. 10, pp. 1597–1604, 2004. View at: Publisher Site | Google Scholar
  18. B. Häsler, K. D. C. Stärk, H. Sager, B. Gottstein, and M. Reist, “Simulating the impact of four control strategies on the population dynamics of Neospora caninum infection in Swiss dairy cattle,” Preventive Veterinary Medicine, vol. 77, no. 3-4, pp. 254–283, 2006. View at: Publisher Site | Google Scholar
  19. M. P. Reichel and J. T. Ellis, “If control of Neospora caninum infection is technically feasible does it make economic sense?” Veterinary Parasitology, vol. 142, no. 1-2, pp. 23–34, 2006. View at: Publisher Site | Google Scholar
  20. C. A. Hall, M. P. Reichel, and J. T. Ellis, “Neospora abortions in dairy cattle: diagnosis, mode of transmission and control,” Veterinary Parasitology, vol. 128, no. 3-4, pp. 231–241, 2005. View at: Publisher Site | Google Scholar
  21. L. V. de Aquino Diniz, A. F. Minutti, B. de Souza Lima Nino et al., “Vertical transmission of Neospora caninum in bovine fetuses from a slaughterhouse in Brazil,” Tropical Animal Health and Production, vol. 51, no. 6, pp. 1751–1755, 2019. View at: Publisher Site | Google Scholar
  22. A. R. Moen, W. Wouda, M. F. Mul, E. A. M. Graat, and T. van Werven, “Increased risk of abortion following Neospora caninum abortion outbreaks: a retrospective and prospective cohort study in four dairy herds,” Theriogenology, vol. 49, no. 7, pp. 1301–1309, 1998. View at: Publisher Site | Google Scholar
  23. H. C. Davison, C. S. Guy, J. W. McGarry et al., “Experimental studies on the transmission of Neospora caninum between cattle,” Research in Veterinary Science, vol. 70, no. 2, pp. 163–168, 2001. View at: Publisher Site | Google Scholar
  24. T. Dijkstra, H. W. Barkema, J. W. Hesselink, and W. Wouda, “Point source exposure of cattle to Neospora caninum consistent with periods of common housing and feeding and related to the introduction of a dog,” Veterinary Parasitology, vol. 105, no. 2, pp. 89–98, 2002. View at: Publisher Site | Google Scholar
  25. S. Schärrer, P. Presi, J. Hattendorf, N. Chitnis, M. Reist, and J. Zinsstag, “Demographic model of the Swiss cattle population for the years 2009–2011 stratified by gender, age and production type,” PLoS One, vol. 9, no. 10, Article ID e109329, 2014. View at: Publisher Site | Google Scholar
  26. Y. Liu, M. P. Reichel, and W.-C. Lo, “Combined control evaluation for Neospora caninum infection in dairy: economic point of view coupled with population dynamics,” Veterinary Parasitology, vol. 277, Article ID 108967, 2020. View at: Publisher Site | Google Scholar
  27. P. van den Driessche and J. Watmough, “Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission,” Mathematical Biosciences, vol. 180, no. 1-2, pp. 29–48, 2002. View at: Publisher Site | Google Scholar
  28. B. Häsler, G. Regula, K. D. C. Stärk, H. Sager, B. Gottstein, and M. Reist, “Financial analysis of various strategies for the control of Neospora caninum in dairy cattle in Switzerland,” Preventive Veterinary Medicine, vol. 77, no. 3-4, pp. 230–253, 2006. View at: Publisher Site | Google Scholar
  29. Y. Liu and W.-C. Lo, “Stability analysis and optimal control of production-limiting disease in farm with two vaccines,” Discrete & Continuous Dynamical Systems-B, 2021. View at: Publisher Site | Google Scholar
  30. M. Y. Li and J. S. Muldowney, “A geometric approach to global-stability problems,” SIAM Journal on Mathematical Analysis, vol. 27, no. 4, pp. 1070–1083, 1996. View at: Publisher Site | Google Scholar
  31. M. Y. Li, H. L. Smith, and L. Wang, “Global dynamics of an SEIR epidemic model with vertical transmission,” SIAM Journal on Applied Mathematics, vol. 62, no. 1, pp. 58–69, 2001. View at: Publisher Site | Google Scholar
  32. S. Kritzner, H. Sager, J. Blum, R. Krebber, G. Greif, and B. Gottstein, “An explorative study to assess the efficacy of Toltrazuril-sulfone (Ponazuril) in calves experimentally infected with Neospora caninum,” Annals of Clinical Microbiology and Antimicrobials, vol. 1, no. 1, p. 4, 2002. View at: Publisher Site | Google Scholar
  33. B. Gottstein, G. R. Razmi, P. Ammann, H. Sager, and N. Müller, “Toltrazuril treatment to control diaplacentalNeospora caninumtransmission in experimentally infected pregnant mice,” Parasitology, vol. 130, no. 1, pp. 41–48, 2005. View at: Publisher Site | Google Scholar
  34. C. J. M. Bartels, G. van Schaik, J. P. Veldhuisen, B. H. P. van den Borne, W. Wouda, and T. Dijkstra, “Effect of Neospora caninum-serostatus on culling, reproductive performance and milk production in Dutch dairy herds with and without a history of Neospora caninum-associated abortion epidemics,” Preventive Veterinary Medicine, vol. 77, no. 3-4, pp. 186–198, 2006. View at: Publisher Site | Google Scholar
  35. C. Castillo-Chavez, Z. Feng, and W. Huang, “On the computation of R 0 and its role on global stability,” in Mathematical Approaches for Emerging and Reemerging Infectious Disease: An Introduction, 2002. View at: Google Scholar
  36. J. P. Tian and J. Wang, “Global stability for cholera epidemic models,” Mathematical Biosciences, vol. 232, no. 1, pp. 31–41, 2011. View at: Publisher Site | Google Scholar
  37. K. Chakraborty, S. Jana, and T. K. Kar, “Global dynamics and bifurcation in a stage structured prey-predator fishery model with harvesting,” Applied Mathematics and Computation, vol. 218, no. 18, pp. 9271–9290, 2012. View at: Publisher Site | Google Scholar
  38. R. H. Martin, “Logarithmic norms and projections applied to linear differential systems,” Journal of Mathematical Analysis and Applications, vol. 45, no. 2, pp. 432–454, 1974. View at: Publisher Site | Google Scholar
  39. L. Zhang, Z.-C. Wang, and X.-Q. Zhao, “Threshold dynamics of a time periodic reaction-diffusion epidemic model with latent period,” Journal of Differential Equations, vol. 258, no. 9, pp. 3011–3036, 2015. View at: Publisher Site | Google Scholar
  40. G. Viglialoro, “Global existence in a two-dimensional chemotaxis-consumption model with weakly singular sensitivity,” Applied Mathematics Letters, vol. 91, pp. 121–127, 2019. View at: Publisher Site | Google Scholar
  41. T. Li, N. Pintus, and G. Viglialoro, “Properties of solutions to porous medium problems with different sources and boundary conditions,” Zeitschrift für angewandte Mathematik und Physik, vol. 70, no. 3, pp. 1–18, 2019. View at: Publisher Site | Google Scholar
  42. T. Li and G. Viglialoro, “Boundedness for a nonlocal reaction chemotaxis model even in the attraction-dominated regime,” 2020, http://arxiv.org/abs/2004.10991. View at: Google Scholar
  43. G. Viglialoro and T. E. Woolley, “Solvability of a Keller-Segel system with signal-dependent sensitivity and essentially sublinear production,” Applicable Analysis, vol. 99, no. 14, pp. 2507–2525, 2019. View at: Publisher Site | Google Scholar

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