About the Authors:
Mahamat Fayiz Abakar
Contributed equally to this work with: Mahamat Fayiz Abakar, Hind Yahyaoui Azami
Affiliations Institut de Recherches en Elevage pour le Développement, N'Djaména, Chad, Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland
Hind Yahyaoui Azami
Contributed equally to this work with: Mahamat Fayiz Abakar, Hind Yahyaoui Azami
* E-mail: [email protected] (HYA); [email protected] (JZ)
Affiliations Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland, Institut Agronomique et Vétérinaire Hassan II, Rabat, Morocco
Philipp Justus Bless
Affiliations Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland
Lisa Crump
Affiliations Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland
Petra Lohmann
Affiliations Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland
Mirjam Laager
Affiliations Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland
Nakul Chitnis
Affiliations Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland
Jakob Zinsstag
* E-mail: [email protected] (HYA); [email protected] (JZ)
Affiliations Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, SwitzerlandAbstract
Bovine tuberculosis (BTB) is an endemic zoonosis in Morocco caused by Mycobacterium bovis, which infects many domestic animals and is transmitted to humans through consumption of raw milk or from contact with infected animals. The prevalence of BTB in Moroccan cattle is estimated at 18%, and 33% at the individual and the herd level respectively, but the human M. bovis burden needs further clarification. The current control strategy based on test and slaughter should be improved through local context adaptation taking into account a suitable compensation in order to reduce BTB prevalence in Morocco and decrease the disease burden in humans and animals. We established a simple compartmental deterministic mathematical model for BTB transmission in cattle and humans to provide a general understanding of BTB, in particular regarding transmission to humans. Differential equations were used to model the different pathways between the compartments for cattle and humans. Scenarios of test and slaughter were simulated to determine the effects of varying the proportion of tested animals (p) on the time to elimination of BTB (individual animal prevalence of less than one in a thousand) in cattle and humans. The time to freedom from disease ranged from 75 years for p = 20% to 12 years for p = 100%. For p > 60% the time to elimination was less than 20 years. The cumulated cost was largely stable: for p values higher than 40%, cost ranged from 1.47 to 1.60 billion euros with a time frame of 12 to 32 years to reach freedom from disease. The model simulations also suggest that using a 2mm cut off instead of a 4mm cut off in the Single Intradermal Comparative Cervical Tuberculin skin test (SICCT) would result in cheaper and quicker elimination programs. This analysis informs Moroccan bovine tuberculosis control policy regarding time frame, range of cost and levels of intervention. However, further research is needed to clarify the national human-bovine tuberculosis ratio in Morocco.
Author Summary
Tuberculosis is a disease of humans and animals which mainly affects the lungs but can also manifest in other organs. A variety of tuberculosis bacteria cause the disease and are usually transmitted through air, i.e. inhalation of aerosols. Bovine tuberculosis (BTB) occurs predominantly among domestic cattle, although wild animals are an important reservoir for transmission. Humans are usually infected with BTB through contaminated dairy products or close contact with cattle. While BTB has been eliminated in cattle and human populations of most high-income countries, it is still a major health threat in low- and middle-income countries. In Morocco, the disease frequently occurs in cattle and poses a health risk for humans. An effective intervention to reduce BTB among domestic cattle and reduce the risk to humans is slaughter of cattle which test positive for the disease. We simulated BTB in the Moroccan cattle and human populations using a disease transmission model. We assessed effects of test and slaughter in regard to elimination of disease in cattle and humans and estimated the associated costs with the model. The time to elimination of disease depended on the number of cattle tested. Our model suggests that the disease might be eliminated in cattle within 32 years if 40% of Moroccan cattle are tested annually and infected individuals are slaughtered or within 13 years if at least 90% of the cattle population are tested. The estimated total costs for the time periods until elimination ranged from 1.55 billion euros for testing and slaughter at 50% to 1.48 billion euros at 90%. These results can be used as a guide for planning BTB control policy in Morocco with regard to time frames and associated costs.
Citation: Abakar MF, Yahyaoui Azami H, Justus Bless P, Crump L, Lohmann P, Laager M, et al. (2017) Transmission dynamics and elimination potential of zoonotic tuberculosis in morocco. PLoS Negl Trop Dis 11(2): e0005214. doi:10.1371/journal.pntd.0005214
Editor: Christine A. Petersen, University of Iowa, UNITED STATES
Received: May 25, 2016; Accepted: November 28, 2016; Published: February 2, 2017
Copyright: © 2017 Abakar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: The authors received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Bovine tuberculosis (BTB) is a zoonotic bacterial infection caused by Mycobacterium bovis. It belongs to a group of well-known and newer mycobacteria, together with Mycobacterium tuberculosis, all of which derive from a common ancestor forming the Mycobacterium tuberculosis complex (MTBC) [1-4]. M. bovis is capable of infecting a broad range of hosts, including ruminants (predominantly domestic cattle), humans and other primates [5-10]. The wide host range makes BTB highly relevant to conservation projects and difficult to eliminate where wildlife reservoirs are involved, for instance, badgers (Meles meles) in the United Kingdom [11, 12].
Bovine tuberculosis infection in cattle is a chronic disease which first affects the lymph nodes and from weeks to decades later can affect lungs. The disease can also be manifested in other organs such as, mammary tissue, and the gastrointestinal or urinary tract. Since transmission between cattle occurs predominantly through aerosol inhalation [13-17], the transmission rate is increased by risk factors such as high herd density and intensive breeding [18]. Pseudo-vertical transmission from cows to suckling calves through infected milk has been described [19]. Factors like a long survival period for the microbes in manure and soil and close contact between animals, for example around water sources, also contribute to an increased risk of infection [20, 21]. In humans, contaminated dairy products are considered to be the main source of BTB infection, usually resulting in extra-pulmonary infection such as lymphadenitis [22-24]. These patients are missed by thoracic radiographic screening and the resulting diagnostic cascade [25]. Aerosol cattle-to-human transmission can occur during close contact with infected animals, posing an occupational risk, especially for pastoralists and farmers [2, 26]. Infection risks linked to local cultural practices, for instance consumption of fresh blood, are reviewed by Daborn [27]. There is evidence that human patients can transmit BTB to animals, and human to human transmission occurs [28, 29].
There is a bottleneck in detecting human BTB cases because the routine diagnostic protocols were developed for patients with pulmonary tuberculosis, as caused by M. tuberculosis. Tuberculosis (TB) and BTB cannot be distinguished on the basis of clinical symptoms, radiography or histopathology [30]. Glycerol-containing Löwenstein-Jensen medium, the long-time gold standard for TB culture, inhibits the growth of M. bovis, thereby increasing the number of undetected cases [31]. New molecular diagnostic tools, for example spoligotyping, and even whole genome sequencing have been developed for M. bovis detection [32, 33]. Although they require enhanced laboratory infrastructure and personnel training which are not currently available in some developing countries, these new techniques offer promise for epidemiological research, control and adequate treatment, particularly since M. bovis is resistant to pyrazinamide, one of the first-line antibiotics for TB treatment [34].
Morocco is transitioning from extensive pastoralist livestock and dairy production to more intensified production due to increasing demands for dietary protein by a growing human population [35]. The shift in agricultural practice and increased use of high-producing Holstein cattle in place of local breeds may have an impact on BTB epidemiology and contribute to a higher prevalence [36]. The official national control program in Morocco is currently based on a test and slaughter scheme. However, large-scale application remains challenging because testing is not mandatory, and the proposed compensation, ranging from 470 euros for local breeds to 980 euros for improved breeds, is considered lower than market value.
In Morocco, BTB is an endemic zoonosis in livestock. Even though the predominant livestock species in Morocco are sheep and goats, cattle remain of major importance. The most recent national survey, conducted in 2004, showed an individual cattle prevalence of 18% and a herd prevalence of 33% [37]. This prevalence remained similar in the individual level (20%), while the herd prevalence increased (58%) in a 2012 pilot study of 1,200 cattle using the tuberculin skin test [38]. Since 2000, the health risk of tuberculosis in Morocco has been addressed through a national TB program funded by the Ministry of Health in collaboration with the World Health Organization (WHO). In 2014, TB caused 2'800 deaths in Morocco [39], and human tuberculosis had a relatively high incidence, with 36'000 new cases (106 cases per 100,000 inhabitants) [40]. These data do not appear to differentiate between M. tuberculosis and M. bovis infection. A recent meta-analysis estimated the median proportion of human BTB among all TB cases in 13 African countries at 2.8%, with a range of 0-37.7% [41]. National prevalence data from a range of countries worldwide were summarized in a 2014 review; in Mexico up to 13% of all TB cases are reportedly due to BTB, while in the United States it is only 1.4% [42]. In Morocco, Bendadda et al. reported M. bovis prevalence of 17.8% among drug resistant TB isolates from 200 human sputum samples [43].
In the early 20th century, the prevalence in German cattle herds was 90% [44], with 25-80% in other European states and only 2-10% in the US [45]. In most industrialized countries, the health risk and economic loss from M. bovis were considerably reduced or eliminated through strict test-and-slaughter and meat inspection protocols for cattle, along with the implementation of milk pasteurization and financial compensation of farmers [45]. Using a similar control strategy, Switzerland eradicated BTB in 1960 [46]. In most developing countries where the disease is endemic, such measures are not feasible due to financial constraints, particularly for farmer compensation, and inadequate veterinary services [47]. Alternatives for BTB endemic countries to reduce the health and economic risk related to the disease must be sought.
Although cost estimation is difficult due to immense local variability in production parameters and prices [48], the global economic loss due to BTB is thought to be about 3 billion USD annually [49]. In cattle, the disease has a significant economic impact, through an increased death rate and decreased milk and meat production, draft power and fertility [50]. Modelling approaches have been used, mainly for developing countries, to estimate different parameters and factors related to BTB. Previous publications on the economics of BTB focus mainly on the cost of disease and control efforts. Analyses of the profitability of control efforts are very scarce [51]. A study on the economics of BTB in Africa showed higher losses in intensive dairy systems in peri-urban areas of Ethiopia when compared to extensive pastoral production systems in rural areas but did not include the cost to public health [48]. Zinsstag et al presented a simplified framework for a model of animal to human transmission in which transmission between cattle and from cattle to humans is considered [51]. This model allows the simulation of different scenarios over 5-10 years, with and without intervention, where the measurable outcome is prevalence in humans and in cattle. The economic analysis further delineates broader issues such as inter-sectorial contributions from agricultural and public health or private households affected by BTB.
Interventions to reduce health and economic risks, such as those related to BTB, are non-linear processes. Although, statistical analyses of data have been used for many years to analyze different types of health interventions, mathematical modeling represents an alternative approach which provides a broader understanding, especially regarding disease transmission to humans.
Several mathematical BTB models have been developed to study the transmission dynamics and to assess the effectiveness of control measures mostly for wildlife (badgers and possums) but also for cattle [52]. In Italy, a compartmental stochastic model of within and between-farm BTB dynamics in cattle was developed using a monte-Carlo simulation of BTB epidemics following the random introduction of infected individuals in the network. Consequently, slaughterhouse inspection has been found to be the most effective surveillance component [53]. The same methodology was used in Great Britain in order to study BTB transmission dynamics and to assess the currently used control measures [54]. A model composed of two sub-models for buffalo and cattle populations in South Africa showed that BTB infection is only sustained in cattle and buffaloes when all transmission routes are involved [55]. In France, a compartmental stochastic model was used to assess within-herd spread of BTB operating in discrete time in order to design, calibrate and validate a model of spread of M. bovis within a cattle herd. Various herd management practices as well as control programs were parameterized into the model. Therefore, the median effective reproductive ratio was estimated to be 2.2 and 1.7 respectively in beef and dairy herds [56]. This paper presents an ordinary differential equation (ODE) mathematical model of BTB transmission from cattle to humans in order to estimate the disease cost and simulate potential interventions in Moroccan cattle.
Materials and methods
Epidemiological data collection
Annual data on cattle numbers are estimated using data routinely collected by the Ministry of Agriculture and reported to veterinary services. Our model considered these data from 1995 to 2013. In the transmission model, the cattle population was not stratified by age and sex. We used a tuberculin prevalence of 18% for cattle, as reported in the most recent national survey (2003) [33]. A similar prevalence was noted in a smaller study performed in 2012 in Sidi Kacem, Morocco [38].
Model
A schematic diagram of the model is depicted in Fig 1 and the variables and parameters are described in Tables 1 and 2, respectively.
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Fig 1. Schematic diagram of the BTB cattle-human transmission model for Morocco.
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Table 1. Description of the variables of the BTB model for Morocco.
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Table 2. Description of the parameters of the BTB model for Morocco.
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The cattle population is divided into three mutually exclusive compartments consisting of susceptible cattle (SC), exposed cattle with latent BTB which are positive to the tuberculin test, without showing gross visible lesions (EC) and infected cattle with active BTB showing tuberculosis lesions (IC). Those parameters were estimated based on Ngandolo et al 2009 [57]. The total cattle population (NC) at time t is: (1)
The human population consists of four mutually exclusive compartments: susceptible humans (SH), exposed humans with latent BTB reacting to the Mantoux test (EH), infected humans with active BTB (IH) and humans recovered from BTB with temporary immunity (RH). The total human population (NH) at time t is: (2)
The susceptible cattle population (SC(t)) increases through birth (at a rate bC) and decreases through exposure to BTB (at a rate [Beta]C) and mortality (at a rate MC). Exposure to BTB is assumed to be frequency dependent. According to Bernues [58], the rate bC decreases by 5% for exposed cattle with latent BTB (EC(t)) and for infected cattle with active BTB (IC(t)), such that: (3)
The population of exposed cattle with latent BTB (EC(t)) is generated through infection of susceptible cattle with BTB (at a rate [Beta]C) and decreased through the development of active BTB (at a rate [alpha] C) and through mortality (at a rate MC). Consequently: (4)
Similarly, the infected cattle population with active BTB (IC(t)) is generated through the development of active BTB among exposed cattle with latent BTB (at a rate [alpha] C) and decreased through mortality (at a rate MC): (5)
For simplicity, no additional mortality rate due to BTB is assumed for the cattle and human populations in the model.
The susceptible human population (SH(t)) increases through birth (at a rate bH) and through recovered humans becoming susceptible again (at a rate [delta]C). The population decreases through exposure to BTB from cattle with active BTB (at a rate [Beta]H) and through natural mortality (at a rate MH). For the susceptible human population, the exposure (both direct (aerosol) and indirect (milk) transmission) to BTB from cattle with active BTB is assumed to be frequency dependent and proportional to the number of infected cattle (IC): (6)
Human to human transmission is assumed to be negligible. The population of exposed humans with latent BTB (EH(t)) is generated through infection of susceptible humans with BTB (at a rate [Beta]H) and decreased through the development of active BTB (at a rate [alpha] H) and through natural mortality (at a rate MH): (7)
The infected human population with active BTB (IH(t)) is generated by the development of active BTB among exposed humans with latent BTB (at a rate [alpha] H) and decreased by recovery of humans with active BTB due to treatment (at a rate [gamma]H) and by natural mortality (at a rate MH): (8)
The population of humans recovered from BTB and temporarily immune due to treatment is generated through the recovery of humans with active BTB (at a rate [gamma]H) and decreased through humans becoming susceptible to BTB again after the end of the prophylactic period of the drugs (at a rate [delta]H) and through natural mortality (at a rate MH), so that: (9)
Values for variables and parameters of the model
Variable starting values.
The most recent estimate (2013) for the cattle population in Morocco is 3,173,000 (NC), of which 18% [95% CI: 16.5%-20.3%] are tuberculin skin test positive. The initial values of the three compartments IC, EC and SC were calculated such that the pre-intervention endemic equilibrium of the model equals the prevalence of 18% (S1 Supporting information). This yield: (10) (11) (12)
The human population of Morocco in 2013 is estimated to be 33,008,150 individuals [59]. The estimated number of people with active TB is 43,000 (prevalent cases) [40]. In Africa, a median of 2.8% of all human TB cases are caused by BTB [41]. Between 5 and 10% (mean 7.5%) of TB-exposed people will develop active TB during their lifetime [60]. The starting values of the variables are listed in Table 3. Based on these estimates the starting values of IH, EH, RH and SH are calculated as: (13) (14) (15) (16)
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Table 3. Initial values for the BTB cattle-human transmission model (S3 Supporting information).
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Parameter values.
The average lifespan of the Moroccan cattle is 6 years which yields a death rate of MC = 0.167. Form data on cattle populations (S3 Supporting information) using least squares the birth rate was estimated as bC = 0.177.
From the UN World Population Prospects we calculated the birth rate bH and death rate MH in humans [59]. Although BTB bacteria are not completely eliminated from treated humans [61, 62] it is nevertheless assumed, for the sake of simplicity, that all successfully treated humans are recovered and become susceptible again within a period of 6 months.
The cattle to cattle transmission rate, [Beta]C, and the cattle to human transmission rate, [Beta]H, were estimated from the pre-intervention endemic equilibrium (S2 Supporting information). The model was implemented using MATLAB (MathWorks, Natick, MA). Table 4 shows the baseline values of the parameters with the respective source.
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Table 4. Parameters of the BTB cattle-human transmission model assuming a stable prevalence (endemic stability).
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The reproductive number of the transmission between cattle R0 was computed as: (17)
Sensitivity analysis of model
A sensitivity analysis of the model recalculated the change of prevalence if individual parameters varied from baseline over 30 years.
Simulation and cost of interventions
Although Morocco has a test and slaughter policy for the control of BTB, it is currently not effectively implemented. The BTB transmission model was used to estimate the effect of the proportion of tested and slaughtered tuberculin positive animals on the duration to reach freedom from disease, achieving an individual animal prevalence of less than one in a thousand tested animals (<1/1000) according to the standards of the World Organization for Animal Health (OIE) [65]. The proportion of tested and slaughtered animals was simulated by removing 10-100% of the exposed (Ec) and infectious cattle (Ic) per year from the herd. The control reproductive number Rc including the test and slaughter intervention as proportion p with a test of sensitivity se was computed as: (18)
The associated costs were estimated in a summaric way, assuming an incremental cost of comparative intradermal or interferon gamma (BOVIGAM) testing of 3 euros per animal. The cost of compensation at 80% of the market value varies from 470 euros for local breeds to 970 euros for improved breeds [66]. For the current estimation of the cost of BTB elimination in Morocco, we used a single value of 500 euros of compensation per slaughtered animal. Models run with and without interventions were simulated using data from 2013 onwards.
The OIE recommended cut-off for SICCT interpretation is 4 mm, however, many studies showed that a severe cut-off of 2mm increased the sensitivity of the test [67, 68], without affecting the specificity compared to the recommended cut-off [69]. Consequently, we decided to consider both 2mm and 4mm cut-offs in the model, and to compare the respective results. The present model considered both options of SICTT cut-off at 2mm and 4mm.
Results
Model properties
The reproductive ratio of the cattle to cattle transmission of bovine tuberculosis without intervention was 1.325. For the total cost, the birth rate of cattle bc was the most sensitive parameter influencing the dynamics of BTB transmission (Fig 2). High birth rate values lead to an increased cattle population yielding higher costs for elimination. For the time to elimination, the sensitivity of the test was the most sensitive parameter. Low test sensitivity (i.e. with cut-off at 4mm) leads to low detection of infected animals and therefore less culling of infectious cattle, which leads to a longer time to elimination.
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Fig 2. Partial rank correlation coefficients (PRCC) sensitivity analysis of time to elimination (left) and total cost (right) on parameter values.
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The simulation of a test and slaughter intervention led to a decline in BTB prevalence depending on the proportion p of testing (Fig 3). The time to elimination, i.e. the time to reach an individual animal prevalence of less than one in a thousand, ranged from 75 years for p = 20% to 12 years for p = 100%. For values of p > 60%, the time to elimination was below 20 years (Fig 3). The reproductive number decreased rapidly below one with an increasing proportion test and slaughter p (Fig 4). With 60% testing and culling, the prevalence of exposed and active human BTB cases decreased from 3.5 per 1,000.000 to less than 1 in 1,000,000 at the time of freedom from disease after 20 years (Fig 5).
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Fig 3. Prevalence of tuberculin positive cattle depending on the proportion of test and slaughter between 0 and 1 (in steps of 0.1) with sensitivity and specificity of the 4mm cutoff test (left) and the 2mm cuttoff test (right).
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Fig 4. Relationship between reproductive number and proportion of test and slaughter for the 4mm cutoff test and the 2 mm cutoff test.
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Fig 5. Relationship between human prevalence and proportion of test and slaughter using 4mm cut-off test.
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Cost of test and slaughter intervention
The cost of test and slaughter depends on the percentage p of test and slaughter (Table 5). Lower p results in lower cumulated costs but longer time until elimination. The cumulated cost is remarkably stable for p values higher than 0.2, ranging between 1.47 to 1.87 billion Euros within a time range of 12 to 75 years to reach freedom from disease. The cumulated cost of BTB test and slaughter intervention and the time to elimination were lower using 2mm cut-off of SICTT compared to the 4mm cut-off (Fig 6).
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Fig 6. Total cost of the interventions that reach elimination for different proportions of tested animals and 2mm cut-off test (yellow) and 4mm cut off test (blue).
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Table 5. Relationship of proportion of animals included in test and slaughter and the cumulated cost and time freedom from disease (Individual animal prevalence <1/1000).
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Discussion and conclusions
This manuscript presents the first cattle to cattle and cattle to human compartmental deterministic mathematical model. Differential equations were used to describe different pathways within and between compartments at human and animal level. Sensitivity analysis of the model has been used to determine the most sensitive parameter. Additionally, different scenarios of test and culling interventions were simulated by considering different proportions of tested population per year (p).
Model properties
To our knowledge this is the first model describing cattle to cattle and cattle to human transmission of BTB in Morocco, although an African buffalo-human model has been published [70]. Time series data similar to those for brucellosis in Mongolia [71] are unfortunately not available, but the available data allows for a parameterization under the assumption of endemic stability similar to Ethiopia [72]. The estimated reproductive number of 1.325 is in the range for both low risk areas (R0 = 0.6-1.4) and high risk areas (R0 = 1.3-1.9) reported for the United Kingdom [73] but is lower than the 1.7-2.2 reported by Bekara et al. for France [56]. Using a sensitivity analysis, the birth rate of cattle (bc) was determined to be the most sensitive parameter of the model.
A key challenge in this model was to distinguish between exposed and infected cattle because the diagnostic test utilized was the intradermal tuberculin test. We used the proportion of cattle with active TB (13.5%) among cattle tested positive by tuberculin skin test, as reported by Ngandolo et al [57], to calculate the number of infected cattle. Further microbiological data is required to better describe BTB prevalence in humans in Morocco. Patients treated for active BTB do not completely clear all organisms from their body, with some bacteria persisting in bone marrow [61]. Therefore, in contrast to our model, humans do not become completely susceptible again but technically are subject to re-infection [62]. We argue that this has only a minor impact on total human BTB prevalence, but re-infection should be considered to refine the model.
Our model contains many simplifications. The primary simplification is that of homogeneity: all cattle are not the same. Risk exposure of animals and humans to BTB could change according to sex and age, and we have ignored these differences. Contact between cattle is also not random and is far more likely within herds than between cattle in different herds. Many models have included this heterogeneity in contact patterns within and between herds [52-54], but we ignore it here because of a lack of data on within herd BTB transmission in Moroccan husbandry systems. Furthermore, although deterministic models provide reasonable estimates of mean behaviour in large populations, they cannot provide expected distributions of rare events. Therefore, they may not be appropriate for analysing very low transmission settings (that are necessary before elimination can occur). We circumvent this issue with a rather generous definition of elimination as prevalence of less than 1 in 1000.
Test and slaughter intervention
BTB prevalence was found to reach less than one per thousand in less than 20 years when the proportion of tested cattle was above 60%. The annual cost for this potential intervention was nearly 77 million euros. Intervention in cattle was found to impact the prevalence of human TB due to M. bovis, which decreased from 5 per 10,000 to 1 per 10,000 after 17 years.
The economic assessment presented here is preliminary, and a detailed cost and cost-effectiveness analysis will be published separately. However, our analysis informs Moroccan bovine tuberculosis control policy on the time horizon, range of cost and optimal levels of intervention. An effective control program will depend on the human resources and technical and logistical capacity of the veterinary services to implement testing and slaughtering of animals. If the proportion of cattle subjected to test and slaughter was greater than 60%, freedom from disease would be reached in less than 20 years. The simulation results suggest that switching from a 4mm cut off to a 2mm cut off would be likely to result in significantly shorter durations of elimination programs and much cheaper elimination campaigns.
Our model simulates the removal of individual animals rather than whole herds. Past experience in Europe has shown that whole herd removal is critical for effective elimination in low prevalence situations [46]. In addition, a herd based model of the Moroccan cattle population could potentially lead to a lower intervention cost, as it is more realistic.
A recalculation of the intervention cost taking into account stratification by breed, sex and age should be undertaken, as it could lead to a different cost estimation of BTB control strategy.
Shortage of human resources should be considered for intervention planning, a maximum of 40% cull rate might be feasible; however, it would be costly in view of current Moroccan economic situation. One may think that test and slaughter implementation would lead to a reduction in cattle population and its by-product. But on the other hand, the increased import of cattle from other countries, with enhanced control measures, could maintain the current population density. In the meantime, as dairy products are provided mostly from highly controlled farms where BTB has a very low prevalence, we could argue that milk production would not be significantly affected.
Towards one health
The WHO includes BTB amongst the seven neglected zoonoses which are perceived to be severe threats to public health [1]. Further molecular epidemiology investigations in Morocco are needed in order to clarify local and national human BTB/TB ratios. To reach this goal, closer collaboration, at the national and international level, between the human and animal health sectors through a One Health approach is highly recommended. Operations in these two sectors remain largely independent in Morocco. Communication must be enhanced to establish a One Health approach, which has proven efficacy in health service delivery and potential for economic savings in zoonosis control [74, 75].
Supporting information
S1 Supporting information. Calculation of cattle to cattle transmission rate.
(PDF)
S2 Supporting information. Calculation of cattle to human transmission rate.
(PDF)
S3 Supporting information. Calculation of birth rate.
(XLSX)
Acknowledgments
We would like to acknowledge the Moroccan veterinary services (ONSSA) for providing us with the cattle data from 2005 to 2013 and Pr. Mohammed Bouslikhane, (Institut Agronomique et Vétérinaire Hassan II-Rabat-Morocco) who helped us to obtain the national data before 2005. We also thank the anonymous reviewers for helpful comments which substantially improved the manuscript.
Author Contributions
1. Conceived and designed the experiments: MFA HYA PJB LC PL NC JZ.
2. Performed the experiments: MFA HYA PJB LC PL NC JZ.
3. Analyzed the data: MFA HYA PJB LC PL ML NC JZ.
4. Contributed reagents/materials/analysis tools: MFA HYA PJB LC PL ML NC JZ.
5. Wrote the paper: MFA HYA PJB LC PL ML NC JZ.
Wirth T, Hildebrand F, Allix-Beguec C, Wolbeling F, Kubica T, Kremer K, et al. Origin, spread and demography of the Mycobacterium tuberculosis complex. PLoS pathogens. 2008;4(9):e1000160. doi: 10.1371/journal.ppat.1000160. pmid:18802459
Langer AJ, LoBue PA. Public health significance of zoonotic tuberculosis caused by the Mycobacterium tuberculosis complex. Zoonotic Tuberculosis: Mycobacterium bovis and Other Pathogenic Mycobacteria. Third Edition ed2014. p. 21-33
Clarke C, Van Helden P, Miller M, Parsons S. Animal-adapted members of the Mycobacterium tuberculosis complex endemic to the southern African subregion. J S Afr Vet Assoc. 2016;87(1):1322. doi: 10.4102/jsava.v87i1.1322. pmid:27246904
Alexander KA, Sanderson CE, Larsen MH, Robbe-Austerman S, Williams MC, Palmer MV. Emerging Tuberculosis Pathogen Hijacks Social Communication Behavior in the Group-Living Banded Mongoose (Mungos mungo). MBio. 2016;7(3)
Cosivi O, Meslin FX, Daborn CJ, Grange JM. Epidemiology of Mycobacterium bovis infection in animals and humans, with particular reference to Africa. Revue scientifique et technique. 1995;14(3):733-46. pmid:8593405
O'Reilly LM, Daborn CJ. The epidemiology of Mycobacterium bovis infections in animals and man: a review. Tubercle and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 1995;76 Suppl 1:1-46
De Vos V, Bengis RG, Kriek NP, Michel A, Keet DF, Raath JP, et al. The epidemiology of tuberculosis in free-ranging African buffalo (Syncerus caffer) in the Kruger National Park, South Africa. The Onderstepoort journal of veterinary research. 2001;68(2):119-30. pmid:11585089
Drewe JA. Who infects whom? Social networks and tuberculosis transmission in wild meerkats. Proceedings Biological sciences / The Royal Society. 2010;277(1681):633-42
Humblet MF, Boschiroli ML, Saegerman C. Classification of worldwide bovine tuberculosis risk factors in cattle: a stratified approach. Veterinary research. 2009;40(5):50. doi: 10.1051/vetres/2009033. pmid:19497258
Palmer MV. Mycobacterium bovis: characteristics of wildlife reservoir hosts. Transboundary and emerging diseases. 2013;60 Suppl 1:1-13
Michel AL, Bengis RG, Keet DF, Hofmeyr M, Klerk LM, Cross PC, et al. Wildlife tuberculosis in South African conservation areas: implications and challenges. Veterinary microbiology. 2006;112(2-4):91-100. doi: 10.1016/j.vetmic.2005.11.035. pmid:16343819
Kaneene JB, Kaplan B, Steele JH, Thoen CO. One Health approach for preventing and controlling tuberculosis in animals and humans. Zoonotic Tuberculosis: Mycobacterium bovis and other Pathogenic Mycobacteria. Third Edition ed2014. p. 9-20
Kaneene JB, Pfeiffer D, Thoen CO, Steele JH, Gilsdorf MJ. Epidemiology of Mycobacterium bovis. Mycobacterium Bovis Infection in Animals and Humans. Second Edition ed2006. p. 34-48
Pollock JM, Neill SD. Mycobacterium boviss Infection and Tuberculosis in Cattle. The Veterinary Journal. 2002;163(2):115-27. pmid:12093187
Neill SD, Bryson DG, Pollock JM. Pathogenesis of tuberculosis in cattle. Tuberculosis. 2001;81(1-2):79-86. doi: 10.1054/tube.2000.0279. pmid:11463227
Behr MA, Waters WR. Is tuberculosis a lymphatic disease with a pulmonary portal? Lancet Infect Dis. 2014;14(3):250-5. doi: 10.1016/S1473-3099(13)70253-6. pmid:24268591
Cousins D. Tuberculosis. In: Coetzer J.A.W. T RC, editor. Infectious Diseases of Livestock. Oxford, UK: Oxford University Press; 2004. p. 1973-93
Elias K H D, Asseged B, Wondwossen T, Gebeyehu M. Status of bovine tuberculosis in Addis Ababa dairy farms. Scientific and Technical Review of OIE. 2008;27(3):915-23
Drewe JA, Pfeiffer DU, Kaneene JB. Epidemiology of Mycobacterium bovis. In: Thoen CO, Steele JH, Kaneene JB, editors. Zoonotic Tuberculosis: Mycobacterium Bovis and Other Pathogenic Mycobacteria: John Wiley & Sons; 2014
Wray C. Survival and spread of pathogenic bacteria of veterinary importance within the environment. Veterinary Bulletin. 1975
Ayele WY, Neill SD, Zinsstag J, Weiss MG, Pavlik I. Bovine tuberculosis: an old disease but a new threat to Africa. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2004;8(8):924-37
Torgerson PR, Torgerson DJ. Public health and bovine tuberculosis: what's all the fuss about? Trends in microbiology. 2010;18(2):67-72. doi: 10.1016/j.tim.2009.11.002. pmid:19944609
Kazwala RR, Daborn CJ, Sharp JM, Kambarage DM, Jiwa SF, Mbembati NA. Isolation of Mycobacterium bovis from human cases of cervical adenitis in Tanzania: a cause for concern? The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2001;5(1):87-91
Oloya J, Opuda-Asibo J, Kazwala R, Demelash AB, Skjerve E, Lund A, et al. Mycobacteria causing human cervical lymphadenitis in pastoral communities in the Karamoja region of Uganda. Epidemiology and infection. 2008;136(5):636-43. doi: 10.1017/S0950268807009004. pmid:17599779
Allix-Béguec C F-D M, Stoffels K, Ommeslag D, Walravens K, Saegerman C, et al. Importance of identifying Mycobacterium bovis as a causative agent of human tuberculosis. Eur Respir J. 2010;35:692-4. doi: 10.1183/09031936.00137309. pmid:20190335
Fetene T, Kebede N, Alem G. Tuberculosis infection in animal and human populations in three districts of Western Gojam, Ethiopia. Zoonoses and public health. 2011;58(1):47-53. doi: 10.1111/j.1863-2378.2009.01265.x. pmid:19912606
Daborn CJ, Grange JM, Kazwala RR. The bovine tuberculosis cycle--an African perspective. Society for Applied Bacteriology symposium series. 1996;25:27S-32S. pmid:8972117
Fritsche A, Engel R, Buhl D, Zellweger JP. Mycobacterium bovis tuberculosis: from animal to man and back. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2004;8(7):903-4
Evans JT, Smith EG, Banerjee A, Smith RM, Dale J, Innes JA, et al. Cluster of human tuberculosis caused by Mycobacterium bovis: evidence for person-to-person transmission in the UK. Lancet. 2007;369(9569):1270-6. doi: 10.1016/S0140-6736(07)60598-4. pmid:17434402
de la Rua-Domenech R, Goodchild AT, Vordermeier HM, Hewinson RG, Christiansen KH, Clifton-Hadley RS. Ante mortem diagnosis of tuberculosis in cattle: a review of the tuberculin tests, gamma-interferon assay and other ancillary diagnostic techniques. Research in veterinary science. 2006;81(2):190-210. doi: 10.1016/j.rvsc.2005.11.005. pmid:16513150
Grange JM, Yates MD, de Kantor IN. Guidelines for speciation within the Mycobacterium tuberculosis complex. WHO; 1996
Robbe-Austerman S, Turcotte C. New and current approaches for isolation, identification, and genotyping of Mycobacterium bovis. Zoonotic Tuberculosis: Mycobacterium bovis and Other Pathogenic Mycobacteria. Third Edition ed2014. p. 89-98
Kao RR, Price-Carter M, Robbe-Austerman S. Use of genomics to track bovine tuberculosis transmission. Revue scientifique et technique. 2016;35(1):241-58. doi: 10.20506/rst.35.1.2430. pmid:27217181
Zinsstag J, Müller B, Pvlik I. Mycobacterioses. In: Palmer SR, editor. Oxford textbook of zoonoses: biology, clinical practice, and public health control: Oxford University Press; 2011
FAO. Dairy development in Morocco. FAO, 2011
Ameni G, Aseffa A, Engers H, Young D, Gordon S, Hewinson G, et al. High prevalence and increased severity of pathology of bovine tuberculosis in Holsteins compared to zebu breeds under field cattle husbandry in central Ethiopia. Clinical and vaccine immunology: CVI. 2007;14(10):1356-61. doi: 10.1128/CVI.00205-07. pmid:17761523
Fao. Principales réalisations depuis l'ouverture de la Représentation de la FAO à Rabat en 1982. 2011 2011 Juillet. Report No
Yahyaoui Azami H. D, M. J., Hattendorf, J., Conde Alvarez, R., Moriyon, I., Welburn, S. Bouslikhane, M. The prevalence of ruminant brucellosis and bovine tuberculosis in the area of Sidi Kacem, Morocco. 2006
World Health Organization. Tuberculosis country profiles 2015 [07.01.2015]. http://www.who.int/tb/country/data/profiles/en/
WHO. Global tuberculosis report 2015 2015. http://www.who.int/tb/publications/global_report/en/
Muller B, Durr S, Alonso S, Hattendorf J, Laisse CJ, Parsons SD, et al. Zoonotic Mycobacterium bovis-induced tuberculosis in humans. Emerging infectious diseases. 2013;19(6):899-908. doi: 10.3201/eid1906.120543. pmid:23735540
Perez-Lago L, Navarro Y, Garcia-de-Viedma D. Current knowledge and pending challenges in zoonosis caused by Mycobacterium bovis: A review. Research in veterinary science. 2014;97 Suppl:S94-S100
Bendadda O. Tuberculose humaine à Mycobacterium bovis: Enquête bactériologique et apllication de la PCR à la détection et l'identification du complexe Mycobacterium tuberculosis. Fès: Université Sidi Mohamed Ben Abdellah; 2003
Meissner G. [Bovine tuberculosis in man before and after the eradication of tuberculosis in cattle]. Praxis der Pneumologie vereinigt mit Der Tuberkulosearzt. 1974;28(3):123
Olmstead AL, Rhode PW. The eradication of bovine tuberculosis in the united states in a comparative perspective. Health and Animal Agriculture in Developing Countries: Springer New York; 2012. p. 7-30
Schiller I, Waters WR, RayWaters W, Vordermeier HM, Jemmi T, Welsh M, et al. Bovine tuberculosis in Europe from the perspective of an officially tuberculosis free country: trade, surveillance and diagnostics. Veterinary microbiology. 2011;151(1-2):153-9. doi: 10.1016/j.vetmic.2011.02.039. pmid:21439740
Zinnstag J, Schelling E, Roth F, Bonfoh B, De Savigny D, Tanner M. Human Benefits of Animal Interventions for Zoonosis Control. Emerging infectious diseases. 2007;13(4):527-31. doi: 10.3201/eid1304.060381. pmid:17553265
Tschopp R, Hattendorf J, Roth F, Choudhoury A, Shaw A, Aseffa A, et al. Cost estimate of bovine tuberculosis to Ethiopia. One Health: The Human-Animal-Environment Interfaces in Emerging Infectious Diseases: Springer Berlin Heidelberg; 2013. p. 249-68
Schiller I, Oesch B, Vordermeier HM, Palmer MV, Harris BN, Orloski KA, et al. Bovine tuberculosis: a review of current and emerging diagnostic techniques in view of their relevance for disease control and eradication. Transboundary and emerging diseases. 2010;57(4):205-20. doi: 10.1111/j.1865-1682.2010.01148.x. pmid:20561288
Thoen CO, Steele JH, Kaneene JB. Zoonotic Tuberculosis: Mycobacterium Bovis and Other Pathogenic Mycobacteria: John Wiley & Sons; 2014
Zinnstag J, Schelling E, Roth F, Kazwala R. Economics of Bovine Tuberculosis. In: Thoen CO, Steele JH, Gilsdorf MJ, editors. Mycobacterium Bovis Infection in Animals and Humans. Second Edition ed. Oxford, UK.: Blackwell Publishing Ltd,; 2006. p. 68-83
Alvarez J, Bezos J, de la Cruz ML, Casal C, Romero B, Dominguez L, et al. Bovine tuberculosis: within-herd transmission models to support and direct the decision-making process. Research in veterinary science. 2014;97 Suppl:S61-8
Rossi G, De Leo GA, Pongolini S, Natalini S, Vincenzi S, Bolzoni L. Epidemiological modelling for the assessment of bovine tuberculosis surveillance in the dairy farm network in Emilia-Romagna (Italy). Epidemics. 2015;11:62-70. doi: 10.1016/j.epidem.2015.02.007. pmid:25979283
Brooks-Pollock E, Roberts GO, Keeling MJ. A dynamic model of bovine tuberculosis spread and control in Great Britain. Nature. 2014;511(7508):228-31. doi: 10.1038/nature13529. pmid:25008532
Phepa PB, Chirove F, Govinder KS. Modelling the role of multi-transmission routes in the epidemiology of bovine tuberculosis in cattle and buffalo populations. Math Biosci. 2016;277:47-58. doi: 10.1016/j.mbs.2016.04.003. pmid:27105864
Bekara MEA, Courcoul A, Bénet J-J, Durand B. Modeling Tuberculosis Dynamics, Detection and Control in Cattle Herds. PloS one. 2014;9(9)
Ngandolo BN, Muller B, Diguimbaye-Djaibe C, Schiller I, Marg-Haufe B, Cagiola M, et al. Comparative assessment of fluorescence polarization and tuberculin skin testing for the diagnosis of bovine tuberculosis in Chadian cattle. Preventive veterinary medicine. 2009;89(1-2):81-9. doi: 10.1016/j.prevetmed.2009.02.003. pmid:19269049
Bernues A, Manrique E, Maza MT. Economic evaluation of bovine brucellosis and tuberculosis eradication programmes in a mountain area of Spain. Preventive veterinary medicine. 1997;30(2):137-49. pmid:9234417
United Nations, Department of Economic and Social Affairs, Population Division. World Population Prospects: The 2012 Revision 2013 [07.01.2015]. DVD Edition:[http://esa.un.org/unpd/wpp/index.htm
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination (DTBE). The Difference Between Latent TB Infection and TB Disease 2011 [08.01.2015]. http://www.cdc.gov/tb/publications/factsheets/general/LTBIandActiveTB.htm
Lay G, Poquet Y, Salek-Peyron P, Puissegur MP, Botanch C, Bon H, et al. Langhans giant cells from M. tuberculosis-induced human granulomas cannot mediate mycobacterial uptake. The Journal of pathology. 2007;211(1):76-85. doi: 10.1002/path.2092. pmid:17115379
van den Driessche P, Wang L, Zou X. Modeling diseases with latency and relapse. Mathematical biosciences and engineering: MBE. 2007;4(2):205-19. pmid:17658924
Tijani A, Amechtal I. Comparaison des performances laitières des vaches Holstein et Montbéliarde conduites en système intensif. Rabat, Morocco2012
Treatment of tuberculosis GUIDELINES Fourth edition Introduction. Treatment of Tuberculosis: Guidelines, Fourth Edition. 2010:15-22
Health WOfA. Bovine Tuberculosis. 2004. p. 451-63
Ministère Marocain de l'agriculture ddedeef. Mesures complémentaires et spéciales pour lutter contre la tuberculose bovine. Rabat, Morocco2001. p. 42-6
Awah-Ndukum J, Temwa J, Ngwa VN, Mouiche MM, Iyawa D, Zoli PA. Interpretation Criteria for Comparative Intradermal Tuberculin Test for Diagnosis of Bovine Tuberculosis in Cattle in Maroua Area of Cameroon. Veterinary medicine international. 2016;2016:4834851. doi: 10.1155/2016/4834851. pmid:27563481
Karolemeas K, de la Rua-Domenech R, Cooper R, Goodchild AV, Clifton-Hadley RS, Conlan AJ, et al. Estimation of the relative sensitivity of the comparative tuberculin skin test in tuberculous cattle herds subjected to depopulation. PloS one. 2012;7(8):e43217. doi: 10.1371/journal.pone.0043217. pmid:22927952
Ameni G, Hewinson G, Aseffa A, Young D, Vordermeier M. Appraisal of interpretation criteria for the comparative intradermal tuberculin test for diagnosis of tuberculosis in cattle in central Ethiopia. Clinical and vaccine immunology: CVI. 2008;15(8):1272-6. doi: 10.1128/CVI.00114-08. pmid:18495847
Hassan AS, Garba SM, Gumel AB, Lubuma JM. Dynamics of Mycobacterium and bovine tuberculosis in a human-buffalo population. Computational and mathematical methods in medicine. 2014;2014:912306. doi: 10.1155/2014/912306. pmid:25254065
Zinnstag J, Roth F, Orkhon D, Chimed-Ochir G, Nansalmaa M, Kolar J, et al. A model of animal-human Brucellosis Transmission in Mongolia. Preventive veterinary medicine. 2005;69:77-95. doi: 10.1016/j.prevetmed.2005.01.017. pmid:15899298
Tschopp R, Schelling E, Hattendorf J, Young D, Aseffa A, Zinnstag J. Repeated Cross-sectional Skin Testing for Bovine Tuberculosis in Cattle kept in a Traditional Husbandry System in Ethiopia. Vet Rec. 2010
O'Hare A, Orton RJ, Bessell PR, Kao RR. Estimating epidemiological parameters for Bovine Tuberculosis in British cattle using a Bayesian partial-likelihood approach. Proc R Soc. 2014;B 281
Zinnstag J, Schelling E, Waltner-Toews D, Tanner M. From "one medicine" to "one health" and systemic approaches to health and well-being. Preventive veterinary medicine. 2011;101:148-56. doi: 10.1016/j.prevetmed.2010.07.003. pmid:20832879
Zinnstag J. One Health: The theory and practice of integrated health approaches: CABI; 2015
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© 2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Abakar MF, Yahyaoui Azami H, Justus Bless P, Crump L, Lohmann P, Laager M, et al. (2017) Transmission dynamics and elimination potential of zoonotic tuberculosis in morocco. PLoS Negl Trop Dis 11(2): e0005214. doi:10.1371/journal.pntd.0005214
Abstract
Bovine tuberculosis (BTB) is an endemic zoonosis in Morocco caused by Mycobacterium bovis, which infects many domestic animals and is transmitted to humans through consumption of raw milk or from contact with infected animals. The prevalence of BTB in Moroccan cattle is estimated at 18%, and 33% at the individual and the herd level respectively, but the human M. bovis burden needs further clarification. The current control strategy based on test and slaughter should be improved through local context adaptation taking into account a suitable compensation in order to reduce BTB prevalence in Morocco and decrease the disease burden in humans and animals. We established a simple compartmental deterministic mathematical model for BTB transmission in cattle and humans to provide a general understanding of BTB, in particular regarding transmission to humans. Differential equations were used to model the different pathways between the compartments for cattle and humans. Scenarios of test and slaughter were simulated to determine the effects of varying the proportion of tested animals (p) on the time to elimination of BTB (individual animal prevalence of less than one in a thousand) in cattle and humans. The time to freedom from disease ranged from 75 years for p = 20% to 12 years for p = 100%. For p > 60% the time to elimination was less than 20 years. The cumulated cost was largely stable: for p values higher than 40%, cost ranged from 1.47 to 1.60 billion euros with a time frame of 12 to 32 years to reach freedom from disease. The model simulations also suggest that using a 2mm cut off instead of a 4mm cut off in the Single Intradermal Comparative Cervical Tuberculin skin test (SICCT) would result in cheaper and quicker elimination programs. This analysis informs Moroccan bovine tuberculosis control policy regarding time frame, range of cost and levels of intervention. However, further research is needed to clarify the national human-bovine tuberculosis ratio in Morocco.
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