Lumpy skin disease (LSD) is a vector-borne infection caused by the poxvirus lumpy skin disease virus (LSDV) and is a serious disease of cattle, water buffalo, and banteng. While the disease has never occurred in Australia, it is regarded as a growing threat to the Australian cattle industry as there is on-going spread of the disease throughout Asia. The development of geospatial decision support tools, such as spatial epidemiological modelling, may assist in assessing areas at greater risk of this threat. To guide the design of disease modelling approaches to support future risk-based surveillance, existing LSDV epidemiological models need to be evaluated. In this study, we performed a literature review to evaluate existing LSDV epidemiological models, identify key risk factors for introduction and spread of LSDV, and consider previously adopted control strategies. The PRISMA guidelines were used to establish the processes for article selection and information extraction, and the PICO process was used to formulate search terms. From studies that met our inclusion criteria, we extracted information on LSDV epidemiological model structure and parameterisation, risk factors for LSDV transmission and spread, and biosecurity control strategies. The literature search retrieved a total of 402 articles from four databases, of which 68 were identified for inclusion in this review following screening. Of the 68 articles reviewed, 47 explored risk factors associated with LSDV transmission and spread, four explored risk factors of LSDV introduction, four explored existing surveillance strategies in LSD-free countries, and 14 presented epidemiological models. Our findings indicate that there are various risk factors for LSDV transmission in LSD endemic countries, including long-distance airborne movement of infected vectors such as stable flies and cattle movement between countries over land borders. Key risk factors for LSDV spread in LSD endemic countries include physical environmental characteristics, weather conditions, and population distributions of livestock and vectors. Our results indicate that while a variety of modelling studies have been conducted, the majority of studies experimentally explored LSD transmission mechanisms in vectors and cattle. Spatial and spatio-temporal models have primarily been developed for LSD endemic countries and focus on the spread of the disease in terms of environmental factors in relation to previous LSD events. There were very few studies on LSD-free countries, and these only focussed on risk of LSD introduction through specific entry pathways. This review did not identify any literature exploring the risk of spread of LSDV following introduction in LSD-free countries or geospatial modelling of the suitability of LSD-free countries for LSDV incursions. In conjunction with the risk parameters and models described in the identified literature, there is need to consider a wide range of risk factors specific to Australia to inform the design of risk-based surveillance for LSD in Australia.
Lumpy skin disease (LSD) is an enzootic arthropod-borne viral disease caused by the lumpy skin disease virus (LSDV) that primarily affects cattle (
LSD was first reported in Zambia in 1929 and is now considered endemic throughout most of Africa [
With the spread of LSDV coming into close geographical proximity to Australia, there is a need to assess the risk of LSDV reaching mainland Australia. An incursion of LSDV into Australia would likely result in the introduction of restrictions to exports of both live cattle and meat and dairy products [
A recent risk assessment based on qualitative and quantitative models determined the overall risk of LSDV incursion into Australia to be very low when assuming 3–5 vectors are required for successful vector-to-bovine LSDV transmission and negligible when assuming at least 30–50 vectors are required for successful LSDV transmission. However, the risk assessment also highlighted that gaps in the understanding of LSDV transmission hamper the accurate estimation of actual risk of LSDV incursion [
This scoping literature review has two aims: (1) to identify available evidence on risk factors influencing the introduction and dissemination of LSDV in livestock populations, risk factors for LSDV exposure and infection of cattle, and LSD control strategies and (2) to review existing epidemiological modelling approaches implemented. The findings of this review will provide a basis for designing of spatial epidemiological disease modelling approaches to inform control and prevention of LSD in Australia.
The PICO literature review process [
This literature review did not limit search results to any specific geographical area or year range. The literature review included literature written in any language. The investigators for this literature review were able to read and validate contents of literature written in English, French, Spanish, Portuguese, and Japanese. Literature written in other languages were reviewed provided accurate machine translation was available. Grey literature, including unpublished and pre-print articles, were also included in this review. The following study types were included in the literature review: observational, cohort, spatial epidemiology, mapping, and mathematical modelling.
The following search terms were included in database searches with the NOT Boolean operator and searching only in titles and abstracts: clinical trial, randomised control trial, vaccination, vaccine, genomic, genome, phylogeny, and biochemical.
This literature review searched for available literature using five databases: PubMed, Scopus, Web of Science, Europe PMC, and the University of Queensland library website. All five databases were searched, and their results were recorded on 6 March 2023. The keyword searches used are detailed in
Search results were first screened for duplicate results as detailed in the PRISMA flowchart (Figure
PRISMA flowchart of search and screening of literature.
All search results were recorded in EndNote software, and data retrieval for full-text reviewed papers was conducted using a Microsoft Excel spreadsheet (
Articles that passed the screening stage were read in full to assess the relevance of their contents, as well as the validity of their study methods and results.
A total of 402 records were retrieved from the four literature databases. After screening, a total of 68 studies met the selection criteria and were selected for full in-text review (Figure
LSD was first recorded in Zambia in 1929 [
Mosquitoes were first implicated as a possible vector for LSDV following an LSDV outbreak in Kenya in 1959 due to the infestation of Culicidae species in the outbreak areas [
The biting insects found to have the greatest potential for LSDV transmission are
Evidence suggests that approximately half of cattle infected with LSDV are asymptomatic, and that vectors are still capable of acquiring LSDV from these cattle [
Another potential factor influencing LSDV transmission is the fact that LSDV can survive in the skin lesions and scabs of cattle from 25 to 50 days to several months, making transmission still possible after other clinical signs of LSDV infection have subsided [
A number of factors can influence LSDV exposure and infection in cattle in endemic countries, including weather, physical environment, sociocultural factors, and inadequate biosecurity control interventions.
Another study highlighted varying effectiveness of LSD control interventions in China, including restriction of animal movement and vaccination. These measures were effective in Xinjiang province following reporting of LSD in July/August 2019; however, LSD was not controlled successfully when a similar approach was taken in Fujian province when it was detected there in June 2020. Furthermore, LSD continued to spread to a number of other neighbouring provinces and to Taiwan, less than 200 km off the coast of Fujian province, during the following month. This study suggested this difference in effectiveness may have been due to lack of awareness of LSD and control interventions among veterinarians and farmers in Fujian province, as well as a low uptake of vaccinations [
Mass vaccination using live-attenuated vaccines has been used with varying degrees of success in several countries to control LSD outbreaks, as recently reviewed by Akther et al. [
A wide range of LSD control strategies have been implemented in LSD endemic countries, including vaccination, restriction of cattle movement, culling of infected and exposed cattle, and vector control [
Registration of cattle movement, as part of surveillance and monitoring, has been implemented in a number of LSD-free countries. In Switzerland, it is a legal requirement for all premises keeping cattle to be registered, as well as for all cattle movement and culling to be reported within 3 working days to the Swiss cattle movement database (Tierverkehrsdatenbank, TVD). This timely monitoring of cattle movement allows for rapid contact tracing of cattle, especially when potentially infected cattle are still in the incubation period [
The UK has a comprehensive LSD control strategy, which sets out clear and specific actions to be taken in the event of a suspected or confirmed case of LSD in the country. The control strategy outlines the steps to be taken to report and diagnose/confirm suspected LSDV infection, response activities including culling, cleansing and disinfection (including vector control at infected premises), and contact tracing, establishment of disease control zones for movement and trade restriction, monitoring and surveillance of live animals, possible deployment of vaccination, a recovery plan for the control zones, and the process for resuming international trade and regaining disease-free status. This document provides advice for governments, industries, and individuals involved with LSD susceptible animals [
Fourteen articles that presented a number of different epidemiological modelling approaches were identified [
A limited number of LSDV transmission models have been developed for LSD-infected countries to estimate the reproduction ratio (
A study of LSD outbreaks in Uganda between 2002 and 2016 used spatial, temporal, and space–time scan statistics to identify LSD outbreak clusters. The study found seven statistically significant purely spatial clusters of LSD outbreaks in different locations within Uganda, with some occurring in individual districts and others spanning multiple districts with radii ranging from 25.35 to 55.57 km. A single space–time cluster was identified with a radius of 168.37 km and spanning 4 years from 2002 to 2005. The space–time cluster primarily spanned a majority of the central and eastern regions of the country. Outbreaks in these two regions made up 68% (790/1161) of LSD outbreaks reported between 2002 and 2016 in Uganda. Furthermore, LSD outbreaks in the central and eastern regions were found to be less seasonal and had significantly lower mortality than the other regions of Uganda, suggesting possible geographical differences in disease epidemiology [
This scoping literature review identified a total of 68 articles reporting evidence on risk factors for exposure and spread and epidemiological modelling approaches to support disease control decision-making pertaining to LSD.
A number of common themes were identified in the 47 reviewed articles relating to risk factors for LSDV exposure and infection in cattle in endemic countries. First, environmental factors shown to increase the risk of LSDV infection in cattle included high average daytime temperature, high rainfall, and close proximity to water bodies. These weather characteristics and physical environmental properties correspond to the ideal conditions for vector activity and cattle exposure to vectors. Furthermore, stable flies are known to be able to travel long distances (up to 29 km in laboratory tests [
The inclusion and exclusion criteria applied to the literature search used in our review were devised to extract key data that would assist in the development of spatial epidemiological disease modelling; however, these may have limited the scope of risk factors identified. Broader inclusion criteria may have helped identify additional risk factors, which may have helped in describing the effects of the risk factors identified in this review.
To date, a limited number of studies have presented mathematical models estimating the potential risk of LSDV transmission from possible vectors, with LSDV infection in cattle by stable flies and
Based on the reviewed literature, the Australian landscape presents a wide range of biotic and abiotic optimal conditions for LSDV incursion and spread. The populations and species of vectors present in different parts of Australia may vary, and therefore, understanding the distribution of competent vectors in Australia will be valuable in identifying areas at potentially high risk of LSDV transmission in the event of introduction of LSD into Australia. In addition, there is considerable arthropod-borne viral (arboviral) activity in northern Australia that is monitored through the National Arbovirus Monitoring Program (NAMP) for livestock viruses of interest to key export markets, such as bluetongue virus, Akabane, and bovine ephemeral fever virus. It would seem prudent to expand this programme to include LSDV surveillance in this well-established system to increase the likelihood of early detection of any incursion by the virus [
Available literature describes
Another potential source of LSDV entering Australia is via migratory birds through the East Asian–Australian migratory flyway. The bird species using this flyway have been of interest with respect to avian influenza [
Previous LSD outbreaks in Israel were thought to have been due to the long-range dispersal of LSDV-infected vectors from Egypt being carried by strong wind patterns [
Intrinsically, linked to the availability of a suitable vector(s) for LSDV in Australia is host susceptibility. Given the proximity of the northern Australia cattle production systems to countries where LSDV is currently circulating, it is reasonable to conclude that it is the most likely incursion point from non-anthropologic means. There is likely to be variable susceptibility to LSDV among Australian cattle herds. This variability may be driven by the gradient of
Consequently, there could be two outcomes in the event of an LSDV incursion into this region. First, as a result of the
With the recent detection of LSD in countries neighbouring Australia to its north, such as in Indonesia, the risk of importation of LSD into northern Australia is considered non-negligible. The existing strict biosecurity measures in place effectively reduce the risk of importation of LSD via infected animals or related products, with restrictions on the countries of origin. The Australian Government Department of Agriculture, Fisheries and Forestry regulates the importation of reproductive materials, such as bovine semen, with strict rules and procedures in place to prevent the introduction of diseases into Australia’s animal populations [
The Australian control strategy provides more specific recommendations on controlling the spread of LSD, such as vector management, with an emphasis on the need for responses that are tailored to the various environmental conditions and seasons in Australia [
The most common practice for control of LSDV in endemic countries has been extensive vaccination programmes in cattle, using live-attenuated vaccines. However, this is not a practical preventative measure in LSD-free countries such as Australia as DIVA principles cannot be used to distinguish vaccinated animals from infected animals. As such, the use of live-attenuated vaccines could prolong the potential economic impact of an outbreak through continuation of international trade restrictions.
However, Australia’s action plan sets out priorities aimed to enhance Australia’s ability to prevent, detect, prepare for, and respond to a possible LSDV incursion. Activities in the plan include developing a national cattle vaccination strategy and modelling systems for LSD. The plan highlights the importance of being able to map and model cattle populations and movements through resources such as the Australian National Livestock Identification System (NLIS, a lifetime cattle movement database) to support LSD surveillance and preparedness activities [
Recently, qualitative and quantitative risk assessments of four specific unregulated pathways for entry of and exposure of LSDV in Australia were performed: (1) wind-borne dispersal of arthropod vectors, (2) commercial vessels carrying hitchhiker arthropod vectors (excluding live export vessels), (3) returning live export vessels carrying hitchhiker arthropod vectors, and (4) Torres Strait Treaty movements carrying hitchhiker arthropod vectors [
Importantly, there were significant uncertainties in the model parameters due to lack of data availability (e.g., numbers of herds symptomatically infected with LSDV overseas), lack of consensus among experts on probability estimates (e.g., infectious vectors being able to successfully travel via wind), and the use of proxy data (e.g., urbanisation index as a proxy for the likelihood that an infectious vector would travel to a seaport in the country of origin) [
The risk assessments also suggest that the risk of LSDV incursion into Australia may be increasing due to climate change. In particular, this is thought to have led to an increase in the frequency of suitable meteorological conditions for wind-borne vector dispersal and changes to the Australian environment that have expanded the areas favourable for LSDV vector activity over recent years [
The Australian Government National LSD Action Plan highlights the need for developing modelling tools that can quickly assess the changing risk profile of LSD. Furthermore, the action plan draws attention to the Australian Animal DISease (AADIS) model, which can simulate the spread and control of animal disease in Australia, and that there is a need for the development of such tools to predict appropriate controls for LSD [
Some commonalities were found in the risk factors associated with LSDV spread among geographically varying LSD endemic countries, such as increased rainfall, high average daytime temperature, and the proximity of cattle to water bodies. These were all associated with increased vector activity and cattle exposure to vectors. While certain species of mosquitoes, flies, midges, and ticks have been implicated in LSDV outbreaks, evidence of their LSDV transmission efficiency has only been explored experimentally, with high reproduction ratios observed in
This review observed a lack of studies modelling risk of LSDV incursion in LSD-free countries. The identified literature only modelled risk of LSD introduction through specific entry pathways. Furthermore, no literature describing the models of LSDV spread following introduction of the virus in LSD-free countries was identified.
Risk assessments of potential LSDV incursions into Australia via various pathways have been conducted; however, gaps remain in accurately modelling the true risk of LSDV incursion. Additionally, there are no models of how LSDV could spread between cattle in Australia following an LSDV incursion. The findings from studies on LSDV outbreaks in other countries may provide a useful basis for developing models of LSDV incursion and spread in Australia; however, these will need to be adapted to Australia’s unique geographic and environmental profile, as well as its different livestock and vector populations. In addition to these, modelling will also need to consider a wide range of risk factors, including insect species unique to Australia that have the potential to be LSDV vectors, as well as take into account the effects of climate change on environmental suitability for LSDV vectors. These multi-criteria models will assist in the development of risk-based surveillance of LSD in Australia if an incursion were to occur. As the complexity of these models increases, the development of country-specific biosecurity digital twins may be plausible. A biosecurity digital twin would be derived from compiled epidemiological models and surveillance data and would enable the virtual assessment of disease risks and/or the effectiveness of interventions to better prepare for exotic disease incursions.
All data supporting the findings of this review are included in the main article and the supplementary materials.
The funders had no role in study design, data collection and analysis, decision to publish, preparation, and revision of the manuscript.
Kei Owada, Timothy J. Mahony, Ben J. Hayes, and Ricardo J. Soares Magalhaes are employees of the University of Queensland. Rebecca K. Ambrose is an employee of the Department of Agriculture and Fisheries.
Kei Owada, Timothy J. Mahony, Rebecca K. Ambrose, Ben J. Hayes, and Ricardo J. Soares Magalhaes conceived the study. Kei Owada and Ricardo J. Soares Magalhaes designed the study. Kei Owada and Ricardo J. Soares Magalhaes conducted the screening of abstracts. Kei Owada conducted the assessment of the full texts. Kei Owada analysed the data with feedback from Timothy J. Mahony, Rebecca K. Ambrose, Ben J. Hayes, and Ricardo J. Soares Magalhaes. Kei Owada drafted the first version of the manuscript and received substantial feedback from all other authors.
This project was jointly supported by the Department of Agriculture and Fisheries and the University of Queensland. Open access publishing was facilitated by the University of Queensland, as part of the Wiley—the University of Queensland agreement via the Council of Australian University Librarians.
Contains details of search strategy and data extraction process.
Contains a list of literature included in this review.