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1.
PLoS One ; 15(7): e0235969, 2020.
Article in English | MEDLINE | ID: mdl-32645097

ABSTRACT

Decisions surrounding the presence of infectious diseases are typically made in the face of considerable uncertainty. However, the development of models to guide these decisions has been substantially constrained by computational difficulty. This paper focuses on the case of finding the optimal level of surveillance against a highly infectious animal disease where time, space and randomness are fully considered. We apply the Sample Average Approximation approach to solve our problem, and to control model dimension, we propose the use of an infection tree model, in combination with sensible 'tree-pruning' and parallel processing techniques. Our proposed model and techniques are generally applicable to a number of disease types, but we demonstrate the approach by solving for optimal surveillance levels against foot-and-mouth disease using bulk milk testing as an active surveillance protocol, during an epidemic, among 42,279 farms, fully characterised by their location, livestock type and size, in the state of Victoria, Australia.


Subject(s)
Disease Outbreaks/veterinary , Foot-and-Mouth Disease Virus/pathogenicity , Foot-and-Mouth Disease/diagnosis , Foot-and-Mouth Disease/prevention & control , Livestock/virology , Models, Theoretical , Population Surveillance/methods , Risk Assessment/standards , Animals , Australia/epidemiology , Foot-and-Mouth Disease/epidemiology , Foot-and-Mouth Disease/transmission
2.
PLoS One ; 14(10): e0223518, 2019.
Article in English | MEDLINE | ID: mdl-31603929

ABSTRACT

An incursion of Foot-and-mouth disease (FMD) in a previously FMD-free country can cause significant economic damage from immediate and prolonged closure of FMD-sensitive markets. Whilst emergency vaccination may help contain disease, the presence of vaccinated animals complicates post-outbreak management and the recovery of FMD-free status for return to trade. We present enhancements to the Australian Animal DISease (AADIS) model that allow comparisons of post-outbreak management strategies for vaccinated animals, for the purposes of securing the earliest possible return to trade. Two case studies are provided that compare the retention of vaccinated animals with removal for waste/salvage, and the impact on recovery of FMD-sensitive markets per OIE guidelines. It was found that a vaccinate-and-retain strategy was associated with lower post-outbreak management costs, however this advantage was outweighed by significantly higher trade losses. Under the assumptions of the study there was no cost advantage to salvaging the removed vaccinated animals.


Subject(s)
Commerce , Disease Outbreaks/prevention & control , Foot-and-Mouth Disease/epidemiology , Foot-and-Mouth Disease/prevention & control , Vaccination , Animals , Costs and Cost Analysis , Foot-and-Mouth Disease/economics , Foot-and-Mouth Disease/immunology , Victoria , Western Australia
3.
Front Vet Sci ; 3: 109, 2016.
Article in English | MEDLINE | ID: mdl-27965969

ABSTRACT

Disease managers face many challenges when deciding on the most effective control strategy to manage an outbreak of foot-and-mouth disease (FMD). Decisions have to be made under conditions of uncertainty and where the situation is continually evolving. In addition, resources for control are often limited. A modeling study was carried out to identify characteristics measurable during the early phase of a FMD outbreak that might be useful as predictors of the total number of infected places, outbreak duration, and the total area under control (AUC). The study involved two modeling platforms in two countries (Australia and New Zealand) and encompassed a large number of incursion scenarios. Linear regression, classification and regression tree, and boosted regression tree analyses were used to quantify the predictive value of a set of parameters on three outcome variables of interest: the total number of infected places, outbreak duration, and the total AUC. The number of infected premises (IPs), number of pending culls, AUC, estimated dissemination ratio, and cattle density around the index herd at days 7, 14, and 21 following first detection were associated with each of the outcome variables. Regression models for the size of the AUC had the highest predictive value (R2 = 0.51-0.9) followed by the number of IPs (R2 = 0.3-0.75) and outbreak duration (R2 = 0.28-0.57). Predictability improved at later time points in the outbreak. Predictive regression models using various cut-points at day 14 to define small and large outbreaks had positive predictive values of 0.85-0.98 and negative predictive values of 0.52-0.91, with 79-97% of outbreaks correctly classified. On the strict assumption that each of the simulation models used in this study provide a realistic indication of the spread of FMD in animal populations. Our conclusion is that relatively simple metrics available early in a control program can be used to indicate the likely magnitude of an FMD outbreak under Australian and New Zealand conditions.

5.
Geospat Health ; 3(1): 17-27, 2008 Nov.
Article in English | MEDLINE | ID: mdl-19021105

ABSTRACT

Since 2003, highly pathogenic avian influenza (HPAI) due to the H5N1 virus has been reported from both domestic poultry and wild birds in over 60 countries and this has resulted in the direct death or slaughter of over 250 million birds. The potential for HPAI to be introduced to Australian commercial poultry via migratory shorebirds returning from Asia has previously been assessed as a low risk. However, introduction of HPAI from areas to the immediate north of Australia via nomadic waterfowl that range throughout the Australo-Papuan region provides a second potential pathway of entry. Surveillance programmes provide an important early warning for Australia's estimated 2,000 commercial poultry farms but to be efficient they should be risk-based and target resources at those areas and sectors of the industry at higher risk of exposure. In order to address this need, this study compared the distribution and movement patterns of native waterfowl to identify regions where the likelihood of HPAI incursion and establishment was highest. Analysis of bird banding records provided information on the maximum distances moved and dispersal patterns of the species of waterfowl of interest. Introduction via Cape York was found to be most likely and all poultry farms in Queensland were found to be within range of waterfowl that can shed H5N1 virus for up to 17 days. The final analysis showed that the area at greatest risk of HPAI introduction is the Atherton tableland near Cairns.


Subject(s)
Animal Husbandry , Animal Migration , Ducks/virology , Influenza A Virus, H5N1 Subtype/pathogenicity , Influenza in Birds/epidemiology , Animals , Animals, Wild/virology , Australia/epidemiology , Birds/virology , Demography , Ducks/classification , Ecosystem , Environmental Exposure , Influenza in Birds/virology , Papua New Guinea/epidemiology , Poultry/virology , Risk Assessment , Seasons
6.
Commun Dis Intell Q Rep ; 32(2): 139-207, 2008 Jun.
Article in English | MEDLINE | ID: mdl-18767419

ABSTRACT

In 2006, 66 diseases and conditions were nationally notifiable in Australia. States and territories reported a total of 138,511 cases of communicable diseases to the National Notifiable Diseases Surveillance System: an increase of 10.4% on the number of notifications in 2005. In 2006, the most frequently notified diseases were sexually transmissible infections (57,941 notifications, 42% of total notifications), gastrointestinal diseases (27,931 notifications, 20% of total notifications) and vaccine preventable diseases (22,240 notifications, 16% of total notifications). There were 19,111 notifications of bloodborne diseases; 8,606 notifications of vectorborne diseases; 1,900 notifications of other bacterial infections; 767 notifications of zoonoses and 3 notifications of quarantinable diseases.


Subject(s)
Communicable Diseases/epidemiology , Disease Notification/statistics & numerical data , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Australia/epidemiology , Child , Child, Preschool , Communicable Disease Control , Disease Outbreaks/statistics & numerical data , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Population Surveillance , Sentinel Surveillance , Sex Distribution
7.
Geospat Health ; 2(2): 203-13, 2008 May.
Article in English | MEDLINE | ID: mdl-18686269

ABSTRACT

Since 2003, highly pathogenic avian influenza (HPAI) due to H5N1 virus has been reported from both domestic poultry and wild birds in 60 countries resulting in the direct death or slaughter of over 250,000,000 birds. The potential exists for HPAI to spread to Australia via migratory shorebirds returning from Asia with the most likely pathway of introduction into commercial poultry flocks involving the transfer of HPAI from migrating shorebirds to native waterfowl species that subsequently interact with poultry on low security poultry farms. Surveillance programmes provide an important early-warning for Australia's estimated 2,000 commercial poultry farms but, to be efficient, they should be risk-based and target resources at those areas and sectors of the industry at higher risk of exposure. This study compared the distributions of migratory shorebirds and native waterfowl to identify six regions where the likelihood of exotic HPAI incursion and establishment in native waterfowl is highest. Analysis of bird banding records showed that native waterfowl did not move further than 10 km during the spring breeding season when migratory shorebirds arrived in Australia. Therefore, poultry farms within 10 km of significant shorebird habitat in these six regions of highest comparative risk were identified. The final analysis showed that the estimated risk to Australia is low with only two poultry farms, one at Broome and one at Carnarvon, located in the regions of highest risk.


Subject(s)
Animal Migration , Demography , Environmental Exposure , Influenza A Virus, H5N1 Subtype , Influenza in Birds/transmission , Influenza, Human/etiology , Animals , Australia , Birds , Humans , Poultry , Risk Assessment , Seasons
8.
9.
Commun Dis Intell Q Rep ; 31(1): 1-70, 2007 Mar.
Article in English | MEDLINE | ID: mdl-17503645

ABSTRACT

In 2005, 60 diseases and conditions were nationally notifiable in Australia. States and territories reported a total of 125,461 cases of communicable diseases to the National Notifiable Diseases Surveillance System: an increase of 10% on the number of notifications in 2004. In 2005, the most frequently notified diseases were sexually transmissible infections (51,557 notifications, 41% of total notifications), gastrointestinal diseases (29,422 notifications, 23%) and bloodborne diseases (19,278 notifications, 15%). There were 17,753 notifications of vaccine preventable diseases; 4,935 notifications of vectorborne diseases; 1,826 notification of other bacterial infections (legionellosis, leprosy, meningococcal infections and tuberculosis) and 687 notifications of zoonotic diseases.


Subject(s)
Communicable Diseases/epidemiology , Disease Notification/statistics & numerical data , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Australia/epidemiology , Child , Child, Preschool , Communicable Disease Control , Disease Outbreaks/statistics & numerical data , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Population Surveillance , Sentinel Surveillance , Sex Distribution
10.
Commun Dis Intell Q Rep ; 30(1): 1-79, 2006.
Article in English | MEDLINE | ID: mdl-16639808

ABSTRACT

In 2004, 60 diseases and conditions were nationally notifiable in Australia. States and Territories reported a total of 110,929 cases of communicable diseases to the National Notifiable Diseases Surveillance System (NNDSS): an increase of 4 per cent on the number of notifications in 2003. In 2004, the most frequently notified diseases were sexually transmissible infections (46,762 cases; 42% of total notifications), gastrointestinal diseases (25,247 cases; 23% of total notifications) and bloodborne diseases (19,191 cases; 17% of total notifications). There were 13,206 notifications of vaccine preventable diseases, 6,000 notifications of vectorborne diseases, 1,799 notifications of other bacterial infections (includes, legionellosis, leprosy, meningococcal infections and tuberculosis) and 877 notifications of zoonotic diseases.


Subject(s)
Communicable Diseases/epidemiology , Disease Notification/statistics & numerical data , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Australia/epidemiology , Child , Child, Preschool , Communicable Disease Control , Disease Outbreaks/statistics & numerical data , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Population Surveillance , Sentinel Surveillance , Sex Distribution
11.
Dis Aquat Organ ; 56(1): 1-10, 2003 Aug 15.
Article in English | MEDLINE | ID: mdl-14524496

ABSTRACT

Chronic and acute gill-associated virus (GAV) infections were examined by in situ hybridization (ISH) using a DNA probe targeting a 779 nucleotide region of the ORF1b-gene. Chronic GAV infections were observed in healthy Penaeus monodon collected from farms and healthy P. esculentus surviving experimental infection. During chronic-phase infections in both species, GAV was detected only in partitioned foci of cells with hypertrophied nuclei (spheroids) within the lymphoid organ. Acute-phase infections were observed in moribund P. monodon and P. esculentus infected experimentally with a high dose of GAV, and in moribund P. monodon collected from farms during outbreaks of disease. During acute experimental infections in P. monodon, ISH detected GAV throughout the lymphoid organ, in gills and in connective tissues throughout the cephalothorax. In moribund P. monodon collected from natural outbreaks of disease, GAV was also detected in the gills and in connective tissues of the cephalothorax, but the distribution of virus within the lymphoid organ varied. In acutely infected P. esculentus, GAV was detected in connective tissues, but was restricted to the inner stromal matrix cells and endothelial cells of intact lymphoid organ tubules. The tissue distribution of GAV identified by ISH suggests that shrimp are able to control and maintain chronic asymptomatic infection by a process involving lymphoid organ spheroids. Acute phase infections and the development of disease appear to be dose-related and involve the systemic distribution of virus in connective tissues throughout the cephalothorax.


Subject(s)
Nidovirales/genetics , Penaeidae/virology , Animals , Australia , Connective Tissue/virology , DNA Probes , Gills/virology , Histological Techniques , In Situ Hybridization , Lymphoid Tissue/virology , Penaeidae/anatomy & histology
12.
Vet Immunol Immunopathol ; 85(3-4): 129-35, 2002 Mar.
Article in English | MEDLINE | ID: mdl-11943314

ABSTRACT

Two bovine MHC class II alleles, BoLA-DRB3*0201 and BoLA-DRB3*3301, contain a three base pair deletion which results in the deletion of a lysine (K beta 65) in the antigen recognition site (ARS). Modelling of BoLA-DRB3*0201 with the conserved lysine K beta 65 and BoLA-DRB3*0201 without K beta 65 indicated that this deletion altered the peptide specificity of the ARS, and may impact on the immune response. To test this hypothesis, the presence of K beta 65 was analysed in a sample of cattle vaccinated with the commercial cattle tick vaccine (TickGARD). Homozygous deletion of K beta 65 was significantly associated with high response to TickGARD (P<0.05). Screening of the TickGARD antigen identified a potential T cell epitope that is recognised better by animals that are homozygous for the K beta 65 deletion. This study provides evidence that changes in the ARS of MHC class II molecules may be associated with the well recognised animal to animal variation in magnitude of vaccine response.


Subject(s)
Antigens/immunology , Cattle Diseases/immunology , Genes, MHC Class II/immunology , Ticks/immunology , Vaccines/immunology , Animals , Antibodies/blood , Antigens/metabolism , Binding Sites , Cattle , Cattle Diseases/parasitology , Epitopes, T-Lymphocyte/immunology , Epitopes, T-Lymphocyte/metabolism , Genes, MHC Class II/genetics , Models, Molecular , Mutation/immunology , Mutation/physiology , Protein Binding , Protein Conformation , Tick Infestations/prevention & control , Vaccines/standards
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