Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-22T17:58:59.908Z Has data issue: false hasContentIssue false

Transmission dynamics of foot and mouth disease in selected outbreak areas of northwest Ethiopia

Published online by Cambridge University Press:  09 May 2019

B. Tadesse
Affiliation:
University of Gondar, College of Veterinary Medicine and Animal Sciences, Department of Veterinary Epidemiology and Public Health, P.O. Box. 196, Gondar, Ethiopia Amedguya Sheep Breed Improvement and Multiplication Center, P.O. Box. 30, North Shoa, Ethiopia
W. Molla*
Affiliation:
University of Gondar, College of Veterinary Medicine and Animal Sciences, Department of Veterinary Epidemiology and Public Health, P.O. Box. 196, Gondar, Ethiopia
A. Mengsitu
Affiliation:
University of Gondar, College of Veterinary Medicine and Animal Sciences, Department of Veterinary Epidemiology and Public Health, P.O. Box. 196, Gondar, Ethiopia
W. T. Jemberu
Affiliation:
University of Gondar, College of Veterinary Medicine and Animal Sciences, Department of Veterinary Epidemiology and Public Health, P.O. Box. 196, Gondar, Ethiopia
*
Author for correspondence: W. Molla, E-mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Foot and mouth disease (FMD) is a highly contagious and economically important disease of cloven-hoofed animals, which is endemic in Ethiopia. An outbreak follow-up study was undertaken to quantify the transmission parameters of FMD in the crop–livestock mixed (CLM) system and commercial dairy farms in selected areas of northwest Ethiopia. The transmission parameters were quantified using a generalised linear model (GLM) based on a susceptible–infectious–recovered (SIR) epidemic model. The per day average transmission rate between animals was 0.26 (95% CI 0.22–0.32) and 0.33 (95% CI 0.21–0.57) in the CLM system and in the commercial dairy farms, respectively. The average basic reproduction ratio of FMD was 1.68 (95% CI 1.42–2.07) in the CLM system and 1.98 (95% CI 1.26–3.42) in the commercial dairy farms. The medium per day transmission rate and moderate basic reproduction ratio observed in this study indicated that a vaccination coverage needed to stop transmission of the disease in these populations might not be very high.

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2019

Introduction

Ethiopia has approximately 59.5 million cattle, 30.7 million sheep and 30.2 million goats [1]. Livestock production in Ethiopia broadly classified into three systems: crop–livestock mixed (CLM), pastoral and market-oriented production systems. The dominant production system is the CLM system, which accounts for about 80–85% of the cattle population [2]. The pastoral production system is the second most dominant farming system, which is commonly practiced in the arid and semiarid peripheral parts of the country, and accounts for about 15–20% of the cattle population [2]. The third type of production system is market-oriented production in urban and peri-urban parts of the country, which is very small and primarily consists of dairy cattle and to some extent feedlots. The contribution of the livestock sector to the national economy is minimal compared to its potential. One of the main reasons for this is the widespread occurrence of many infectious diseases, such as foot and mouth disease (FMD), which drastically reduces the production and productivity of livestock [3].

FMD is a contagious trans-boundary and economically devastating viral disease of cloven-hoofed animals including both domestics and wildlife species [Reference Thomson, Vosloo and Bastos4, Reference Goris, Vandenbussche and De Clercq5]. Foot and mouth disease virus (FMDV) that is classified within the genus Aphtovirus and family Picornaviridae causes the disease. FMDV consists of seven different serotypes (A, O, C, Asia1, SAT (South African territories) 1, SAT2 and SAT3) with many subtypes [Reference Mort6]. It is characterised by vesicular eruptions in the oral cavity, foot and udder; these lesions are associated with fever, lameness, salivation and anorexia [Reference Grubman and Baxt7]. The virus can be transmitted either directly, e.g. via contact with an infected host/s [Reference Orsel8, Reference Orsel9], or indirectly, e.g. via contact with a contaminated environment with FMDV-infected secretions and excretions [Reference Pharo10, Reference de Rueda11].

The transmission dynamics of infectious diseases like FMD have important effects on the epidemiology of the disease and measures that can be taken to control them. A parameter often used to describe the magnitude of transmission is the basic reproduction ratio (R 0). The R 0 is defined as the average number of secondary infections caused by one typical infectious individual in a fully susceptible population during its entire infectious period [Reference Diekmann, Heesterbeek and Metz12]. Whether an outbreak spreads or dies out depends on whether the R 0 is greater than or less than one. If R 0 exceeds one, an infected animal infects on average more than one susceptible animal, and thus it may cause a major outbreak, but if R0 is smaller than one, the disease will die before being generalised to a major outbreak [Reference Velthuis13, Reference Van Roermund14]. A limitation of R 0, however, is that it does not include a time factor, which is important in epidemic modelling to analyse the course of the epidemic. A suitable parameter to use in modelling that does have a time dimension is the transmission rate (β), which is defined by the average number of new infections caused by one infectious individual per unit of time [Reference De Jong and Kimman15].

To understand the transmission behaviour of FMDV and be able to predict its transmission dynamics, quantification of FMDV transmission parameter is essential. Quantification of R 0 for FMDV can be performed by using field data [Reference Hagenaars16] and data from animal experiments [Reference de Rueda17]. Different authors determine R 0 for FMD in different settings using different approaches. For example, R 0 was quantified from the final size of infection in sheep as 1.1 [Reference Orsel9], from transmission experiment in cattle as 2.52 [Reference Orsel8] in the Netherlands and from sero-prevalence data in cattle in Ethiopia as 1.45 [Reference Jemberu18].

FMDV is endemic in Ethiopia in all production systems since it was first recorded in 1957 [Reference Martel19] and a large number of outbreaks were reported every year [Reference Ayelet20, Reference Desissa21]. Based on data over the years 2007–2012, the annual district-level incidence of FMD outbreaks was estimated at 0.24, 0.39 and 0.85 per district year in the CLM, pastoral and market-oriented systems, that are caused by serotypes O, A, SAT 2 and SAT 1 [Reference Jemberu22]. Different studies undertaken on FMD so far also revealed the existence of the disease in different parts of the country, with different sero-prevalence ranging from 5.6% to 24.2% [Reference Desissa21, Reference Sahle23, Reference Jembere24, Reference Mekonen25, Reference Mohamoud, Tessema and Degefu26, Reference Zerabruk, Romha and Rufael27, Reference Mishamo28]. Quantitative information on the transmission dynamics of FMD is essential in order to make sound decisions about its control. Despite a large number of FMD outbreaks reported in Ethiopia every year, its transmission dynamics have not been properly quantified before. Therefore, the current study was undertaken with the objective of determining the transmission rate and reproduction ratio of FMD using field outbreak data collected from some selected areas of northwest Ethiopia.

Materials and methods

Description of the study area

The study was conducted in two districts in the CLM production system (Estie district of South Gondar zone and Gondar zuria district of North Gondar zone) and five commercial dairy farms in Gondar town (Fig. 1). These districts and Gondar town were selected for study because of the current FMD outbreak during the time.

Fig. 1. Map of Amhara region showing FMD transmission study sites.

Study herds, animals and animals contact patterns

The study populations were household herds (group of animals that may comprise cattle, sheep or goat and owned by a household for subsistence) in FMD outbreak-affected kebeles (the smallest administrative unit in Ethiopia) for CLM system and FMD-affected dairy herds in the commercial dairy system. A total of 1296 herds: 745 herds from Estie district, 546 herds from Gondar zuria district and five commercial dairy farms from Gondar town were used for the transmission study. These herds comprise 16 984 animals: 8706 animals from Estie district, 8190 animals from Gondar zuria district and 88 animals from Gondar town commercial dairy farms.

The animals' contact network depends on a number of factors, including housing system, herd size, nature of grazing lands, watering points, herd density and availability of main livestock transporting roads within the district. Animals in Estie and Gondar zuria districts were managed extensively, whereas the five dairy farms in Gondar town managed intensively. In Estie district, animals from different kebeles regularly mix at communal grazing areas and watering points, so that they all were considered as one epidemiological unit for studying the transmission of FMD. While the two kebeles (Tsion and Enfranz) included in the study from Gondar zuria district are separated by a mountain range that limits animal contact between these two kebeles, so they were taken as two different epidemiological units. Each commercial dairy farm was taken as a separate epidemiological unit. Most of the animals in the CLM type of herds are local Zebu breed, while animals in the commercial herds are Holstein-Friesian local Zebu cross.

Outbreak follow-up and infection status of animals

Monitoring of the FMD outbreaks was done from September 2017 to May 2018 in Estie district (in three affected kebeles), Gondar zuria district (in two affected kebeles) and Gondar town (in five affected dairy farms) to study the transmission dynamics of FMD outbreaks. Follow-up of herds and field case observations were conducted in the outbreak-affected kebeles during the active outbreak periods.

FMD outbreak-affected kebeles in each district were identified from the records of district veterinary offices. In each district, the follow-up study started immediately after the FMD index case observed in the districts. In kebeles affected by the outbreak, herds were visited once per week to check the occurrence of FMD cases until the end of the outbreak. If a case was found in a herd, the infection chain within the herd was monitored by visiting the affected herd twice a week until the end of the outbreak and the FMD status (susceptible, infected and recovered) of all animals were recorded. Animals showing lameness, salivation (drooling), smacking of the lips, grinding of teeth, vesicles/lesions in the mouth (on the tongue, gum, cheeks, lips), unwillingness to move or stand, significant drop in milk production, and high morbidity and low mortality in the herd were considered FMD cases [29]. Herd owners were asked to record new cases each day and report to the investigator. At the start of the study, all cattle, sheep and goat in the affected kebele in the CLM production system were assumed susceptible. In the commercial dairy farms, all animals on the farm were taken as susceptible. In this study, animals were considered infected when they showed clinical signs of FMD during the follow-up period of the outbreak. Animals were registered as a new case on the date they were reported or seen with FMD clinical signs and as infectious on the same day [Reference Charleston30]. Infected cattle were assumed to stay infectious on average for 6 days, whereas sheep and goats were assumed to stay infectious on average for 28 days. These infectious periods were determined by taking into account the duration of virus isolation in blood and oropharyngeal swab for 5.5 (95% CI 4.5−6.7) days [Reference de Rueda11] and in saliva for 10 days [Reference Parthiban31] for cattle, and 52 days [Reference Eblé, Orsel and Dekker32] and 28 days (95% CI 19–42) [Reference de Rueda17] for sheep. Animals that died before the completion of the infectious period were considered infectious only for the days they lived after being infectious.

Parallel to the transmission follow-up, samples from FMD clinically infected animals (vesicular fluids and epithelium from ruptured vesicles in the oral cavity and inter-digital space) were collected and tested using antigen detection ELISA following the procedure described by OIE [33] at the National Animal Health Diagnostic and Investigation Center, Sebeta, Ethiopia to confirm that the clinically observed disease was truly FMD.

Quantification of FMD transmission parameters

The transmission parameters were estimated based on a SIR epidemic model in which individuals in the population were categorised either susceptible (S), infectious (I) or recovered and immune (R). During the study, the numbers of infectious, susceptible and recovered animals observed in each herd were recorded at the start of each observation interval. Transmission of FMDV between animals was estimated from the relationship between the number of infectious animals at the start of the time interval and the number of newly infected animals at the end of the time interval.

The transmission rate parameter was estimated by a GLM [Reference de Rueda11, Reference Heffernan, Smith and Wahl34, Reference Chowell, Nishiura and Bettencourt35] based on a stochastic SIR epidemic model [Reference Velthuis36] in which transmission of FMD between individuals are described by the change in the number of susceptible, infectious and recovered animals. In the SIR model, susceptible animal becomes infected with a rate of

$$dS/dt = -\beta \times I_{(t)} \times S_{(t)}/N_{(t)}$$

in which β is the transmission rate parameter, S t is the number of susceptible animals at time t, I t is the number of infectious animals at time t and N t is the total number of animals at time t. The number of infectious contacts encountered by one individual in a period of length Δt follows a Poisson distribution with a parameter (β×(I t) × Δt/N t). In the described model, the probability for a susceptible animal to escape infection during a period Δt is given by e β×I×Δt/N and the probability to become infected is therefore 1−e β×I×Δt/N. This implies that the number of new cases in a period Δt follows a binomial distribution with binomial total S and the above expressed probability. The expected number of new cases (C) in a unit of time is then E(C) = S (1−eβ×I×Δt/N) [Reference Velthuis36, Reference Velthuis, de Jong and De Bree37]. The between-animals transmission rate β (β = eb, where b is the coefficient of the intercept of the model) was quantified using GLM [Reference McCullagh and Nelder38] with number of new cases as dependent variable, complementary log log-LINK function, S as binomial total and the natural logarithm of (I×Δt/N) as the offset variable using the GLM expression cloglog E(Ct/St) = ln(β) + ln(I×Δt/ N). Finally, R 0 was estimated by multiplying β with the average length of the infectious period [Reference de Rueda11, Reference Velthuis36].

Data management and statistical analysis

The data collected from the field case follow-up was entered into an Excel spreadsheet and the data were checked for errors of entry and then imported to STATA version 12 for analysis. The GLM was used to estimate the transmission rates. Statistical analyses were also conducted to test the significance of differences in transmission rate between production systems. A P-value <0.05 was considered as significant in the comparisons.

Results

Herd structure and FMD occurrence

For studying the transmission dynamics of FMD, a total of 16 984 individual animals (13 935 heads of cattle and 3049 heads of sheep and goats) from 1296 herds were monitored for FMD occurrence. Among all these animals monitored, 16 896 (13 847 cattle and 3049 sheep and goats) of them were kept in 1291 herds in the CLM production system and the remaining 88 animals were kept in five herds in the commercial dairy production system.

In Estie district, the FMD outbreak started at the end of August 2017 and continued until the end of February 2018, but in Gondar zuria district and Gondar town, the outbreak started at the first week of October 2017 and ended in the last week of February 2018. The epidemic curve of FMD outbreaks in Estie district and in Enfranz and Tsion Kebeles of Gondar zuria district are presented in Figs 2, 3 and 4, respectively. The outbreaks in all study areas were confirmed as FMD and the causal virus was identified as serotype O by antigen detection ELISA.

Fig. 2. Epidemic curve of FMD in Estie district, northwest Ethiopia in 2017/18.

Fig. 3. Epidemic curve of FMD in Enfranz area, northwest Ethiopia in 2017/18.

Fig. 4. Epidemic curve of FMD in Tsion area, northwest Ethiopia in 2017/18.

Transmission parameters of FMD

The transmission rate between animals in the CLM production system was 0.31 (95% CI 0.27–0.36), 0.23 (95% CI 0.19–0.31) and 0.24 (95% CI 0.20–0.31) per day in Estie, Tsion and Enfranz, respectively, whereas in the commercial dairy farms, it varied from 0.21 (95% CI 0.09–0.48) to 0.42 (95% CI 0.23–0.73) in the different farms (Table 1). The average transmission rate between animals in the commercial dairy farms was 0.33 (0.26–0.42) per day, but it was 0.26 (95% CI 0.22–0.32) in the CLM production system (Table 1). There was a significant difference (P < 0.05) in the average transmission rate between animals in the CLM production system and commercial dairy farms. A reproduction ratio of 2.12, 1.45 and 1.52 between animals was estimated in the CLM production system in Estie, Tsion and Enfranz areas, respectively, while the average R 0 value for CLM production system was 1.68. In commercial dairy farms, R 0 values between animals were varying from 1.26 to 2.52, while the average R 0 value was 1.98 (Table 1).

Table 1. Transmission rate parameter and reproduction ratio of FMDV in CLM herds and within the five commercial dairy farms in northwest Ethiopia during the 2017/18 outbreaks

P = 0.001 for difference in average transmission rate between animals in the CLM production system and commercial dairy farms.

Discussion

To the best of our knowledge, this is the first study in Ethiopia in which the transmission parameters for FMD have been quantified from real outbreak situations in the field. This knowledge is helpful to understand the disease transmission dynamics and design sets of measures that efficiently control the disease.

In this study, the average between animal transmission of FMDV was estimated at 0.26/day for CLM system and 0.33/day for the commercial farms with some variations among the epidemiological units within each system (0.23–0.31/day in the CLM and 0.21–0.42/ day in commercial dairy farms). The average per day transmission rates of FMD between animals estimated in this study were higher than the transmission rate from sheep to cattle (0.037) reported previously [Reference de Rueda17]. This might be because of the difference in the study population and management of animals.

It is widely believed that FMDV is transmitted from infected to susceptible hosts directly or indirectly through contaminated environment and/or fomites [Reference Orsel8, Reference de Rueda11]. However, in this study, it was impossible to identify clearly, which specific infected animal transmitted the infection to which susceptible animal in the transmission chain due to the mixing up of animals at common grazing areas and watering points and hence it was difficult to separate the transmission as direct and or indirect (environmental). Due to the mixed nature of herds (i.e. cattle, sheep and goats) in the CLM system, it was also not possible to know from which species an animal acquired the infection and the estimated transmission rate includes both the intraspecies and interspecies transmissions.

In this study, the estimated R 0 values were in the range 1.45–2.12 between animals in the CLM production system with an average value of 1.68. This value is higher than the R 0 of 1.45 previously reported in Ethiopia in the CLM production system from sero-prevalence data [Reference Jemberu18]. It is also higher than the report from sheep to cattle (1.0) [Reference de Rueda17] and from sheep to sheep (1.1) [Reference Orsel9] and lower than other previous reports in intraspecies transmission in cattle of 2.52 [Reference Orsel8] and ∞ (1.3−∞) [Reference Orsel39]. As reported in the previous studies, the transmission from cattle to cattle is higher than sheep to cattle and cattle are more infectious than sheep [Reference Orsel8, Reference de Rueda17]. The cattle population in the CLM production system in the current study is higher (82%) than sheep and goat population (18%) and this may increase the transmission rate between these mixed populations than the sheep to sheep and sheep to cattle transmission reported in the previous studies. The R 0 in the CLM production system in the current study is lower than the R 0 in the commercial dairy farms; this is due to the high rate of contact of cattle in the commercial dairy farms.

The R 0 values within the commercial dairy farms in the current study were in the range of 1.26–2.52 with an average value of 1.98. These R 0 values were lower than the R 0 value of 4.4 quantified from both direct and indirect transmission and 3.7 from direct transmission reported from experimental studies in calves in the Netherlands [Reference de Rueda11] and R 0 value of ∞ (1.3−∞) in unvaccinated cattle in the Netherlands [Reference Orsel39]; while it was close to the R 0 value of 2.52 reported in cattle in the Netherlands [Reference Orsel8]. The difference might be explained by the study type, different study population, the environmental difference and the production system set up.

In the current study, the average transmission rates were medium, 0.26 and 0.33 per day between animals in CLM production system and the commercial dairy farms, respectively. The estimated between-animals R 0 was greater than the threshold level and moderate both in the CLM production system and in the commercial dairy farms. The moderate R 0s estimated here indicate the vaccination coverage required to stop the disease transmission is not very high. In the CLM production system, the R 0 was quantified for a mixed population of cattle, sheep and goat, but does not estimate the contribution of each species to the total transmission. Therefore, future research should focus on the estimation of the contribution of each species of animals for the transmission of FMD and on the implementation and evaluation of effective control measures that bring R 0 below the threshold level.

Author ORCIDs

W. Molla, 0000-0003-0793-5960

Acknowledgements

The authors would like to acknowledge the National Animal Health Diagnostic and Investigation Center of Ethiopia for confirming the outbreak and the animal health personnel's in the study districts for their collaboration during data collection and to the farmers who participated and provided information for the study.

Financial support

This work was supported by the University of Gondar.

Conflict of interest

None.

References

1.CSA (2017) Agricultural Sample Survey, 2016/17 (2009 E.C.), Volume II: Report on livestock and livestock characteristics (Private peasant holdings). Statistical Bulletin 585. Central Statistical Agency (CSA), Addis Ababa, Ethiopia: Federal Democratic Republic of Ethiopia.Google Scholar
2.MoARD (2007). Livestock Development Master Plan Study. Phase I Report–Data Collection and Analysis. Volume V–Policy and Institutions. Ministry of agriculture and rural development, Government of Ethiopia, Addis Ababa, Ethiopia.Google Scholar
3.MoA and ILRI (2013) Animal health strategy and vision for Ethiopia. Ministry of Agriculture and International Livestock Research Institute, Addis Ababa, Ethiopia.Google Scholar
4.Thomson, GR, Vosloo, W and Bastos, AD (2003) Foot and mouth disease in wildlife. Virus Research 91, 145161.Google Scholar
5.Goris, N, Vandenbussche, F and De Clercq, K (2008) Potential of antiviral therapy and prophylaxis for controlling RNA viral infections of livestock. Antiviral Research 78, 170178.Google Scholar
6.Mort, M et al. (2005) Psychosocial effects of the 2001 UK foot and mouth disease epidemic in a rural population: qualitative diary based study. Biomedical Journal 331, 1234.Google Scholar
7.Grubman, MJ and Baxt, B (2004) Foot and mouth disease. Clinical Microbiology Reviews 17, 465493.Google Scholar
8.Orsel, K et al. (2005) Vaccination against foot and mouth disease reduces virus transmission in groups of calves. Vaccine 23, 48874894.Google Scholar
9.Orsel, K et al. (2007a) Quantification of foot and mouth disease virus excretion and transmission within groups of lambs with and without vaccination. Vaccine 25, 26732679.Google Scholar
10.Pharo, HJ (2002) Foot and mouth disease: an assessment of the risks facing New Zealand. New Zealand Veterinary Journal 50, 4655.Google Scholar
11.de Rueda, et al. (2015) Quantification of transmission of foot-and-mouth disease virus caused by an environment contaminated with secretions and excretions from infected calves. Veterinary Research 46, 4362.Google Scholar
12.Diekmann, O, Heesterbeek, JAP and Metz, JA (1990) On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations. Journal of Mathematical Biology 28, 365382.Google Scholar
13.Velthuis, AG et al. (2002) Quantification of transmission in one-to-one experiments. Epidemiology and Infection 128, 193204.Google Scholar
14.Van Roermund, HJ et al. (2010) No between-pen transmission of foot-and-mouth disease virus in vaccinated pigs. Vaccine 28, 44524461.Google Scholar
15.De Jong, MCM and Kimman, TG (1994) Experimental quantification of vaccine-induced reduction in virus transmission. Vaccine 12, 761766.Google Scholar
16.Hagenaars, TJ et al. (2011) Estimation of foot and mouth disease transmission parameters, using outbreak data and transmission experiments. Review on Scientifiqe Technique (International Office of Epizootics) 30, 467477.Google Scholar
17.de Rueda, CB et al. (2014) Estimation of the transmission of foot and mouth disease virus from infected sheep to cattle. Veterinary Research 45, 58.Google Scholar
18.Jemberu, WT (2016) Bioeconomic modelling of foot and mouth disease and its control in Ethiopia (Doctoral dissertation, Wageningen University). pp. 95.Google Scholar
19.Martel, JL (1974) Foot and mouth disease in Ethiopia. Distribution of serotypes of foot and mouth disease virus. Review on Medicine Veterinary Pays Tropical 27, 169175.Google Scholar
20.Ayelet, G et al. (2012) Study on the epidemiology of foot and mouth disease in Ethiopia. Journal of Emerging Infectious Disease 31, 789798.Google Scholar
21.Desissa, F et al. (2014) Epidemiological study on foot and mouth disease in cattle: seroprevalence and risk factor assessment in Kellem Wollega Zone, West Ethiopia. African Journal of Agricultural Research 9, 13911395.Google Scholar
22.Jemberu, WT et al. (2016) Epidemiology of foot and mouth disease in Ethiopia: a retrospective analysis of district level outbreaks. Transboundary Emerging Disease 63, 246259.Google Scholar
23.Sahle, M (2004) An epidemiological study on the genetic relationships of foot and mouth disease viruses in east Africa. University of Pretoria, South Africa, Pretoria, PhD Thesis. pp. 84107.Google Scholar
24.Jembere, S (2008) Participatory epidemiology and seroprevalence of Foot and Mouth Disease in Afar pastoral region, Ethiopia. MSc thesis, FVM, AAU, Debre Ziet, Ethiopia. pp. 3638.Google Scholar
25.Mekonen, H et al. (2011) Study on the prevalence of foot and mouth disease in Borana and Guji Zones, southern Ethiopia. Veterinary World 4, 293296.Google Scholar
26.Mohamoud, A, Tessema, E and Degefu, H (2011) Seroprevalence of bovine foot and mouth disease (FMD) in Awbere and Babille districts of Jijiga zone, Somalia regional state, eastern Ethiopia. African Journal of Microbiology Research 5, 35593563.Google Scholar
27.Zerabruk, G, Romha, G and Rufael, T (2014) Sero-epidemiological investigation of foot and mouth disease in cattle managed under extensive husbandry system in Tigray, northern Ethiopia. Global Veterinary 13, 112116.Google Scholar
28.Mishamo, S (2016) Isolation, Molecular Characterization and Sero-Prevalence Study of Foot-And-Mouth Disease Virus Circulating In Central Ethiopia. MSc Thesis Addis Ababa University Bishoftu, Ethiopia. pp. 4146.Google Scholar
29.FAO. Case definition of livestock disease 2010. Available at http://www.fao.org/docrep/014/al859e/al859e00.pdf. (Accessed 31 January 2019).Google Scholar
30.Charleston, B et al. (2011) Relationship between clinical signs and transmission of an infectious disease and the implications for control. Science 332, 726729.Google Scholar
31.Parthiban, ABR et al. (2015) Virus excretion from foot-and-mouth disease virus carrier cattle and their potential role in causing new outbreaks. PLoS ONE 10, 6.Google Scholar
32.Eblé, PL, Orsel, K and Dekker, A (2012) FMDV infection in vaccinated and non-vaccinated sheep: transmission to contact animals and diagnostic aspects. In Session of the Research Group of the Standing Technical Committee of EuFMD; 29–31 October 2012. Jerez de la Frontera: FAO of the United Nations.Google Scholar
33.OIE. Manual of diagnostic tests and vaccines for terrestrial animals, Chapter 2.1.8., 2018. Available at http://www.oie.int/fileadmin/Home/eng/Health_standards/tahm/2.01.08_FMD.pdf. (Accessed 2 February 2019).Google Scholar
34.Heffernan, JM, Smith, RJ and Wahl, LM (2005) Perspectives on the basic reproductive ratio. Journal of the Royal Society Interface 2, 281293.Google Scholar
35.Chowell, G, Nishiura, H and Bettencourt, LM (2007) Comparative estimation of the reproduction number for pandemic influenza from daily case notification data. Journal of the Royal Society Interface 4, 155166.Google Scholar
36.Velthuis, AG et al. (2003) Design and analysis of an Actinobacillus Pleuropneumoniae transmission experiment. Preventive Veterinary Medicine 60, 5368.Google Scholar
37.Velthuis, AG, de Jong, MCM and De Bree, J (2007) Comparing methods to quantify experimental transmission of infectious agents. Mathematical Biosciences 210, 157176.Google Scholar
38.McCullagh, P and Nelder, JA (1989) Generalized Linear Models. London, UK: Chapman and Hall, pp. 2144.Google Scholar
39.Orsel, K et al. (2007b) The effect of vaccination on foot and mouth disease virus transmission among dairy cows. Vaccine 25, 327335.Google Scholar
Figure 0

Fig. 1. Map of Amhara region showing FMD transmission study sites.

Figure 1

Fig. 2. Epidemic curve of FMD in Estie district, northwest Ethiopia in 2017/18.

Figure 2

Fig. 3. Epidemic curve of FMD in Enfranz area, northwest Ethiopia in 2017/18.

Figure 3

Fig. 4. Epidemic curve of FMD in Tsion area, northwest Ethiopia in 2017/18.

Figure 4

Table 1. Transmission rate parameter and reproduction ratio of FMDV in CLM herds and within the five commercial dairy farms in northwest Ethiopia during the 2017/18 outbreaks