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Kabir A, Kamboh AA, Abubakar M, Baloch H, Nizamani ZA. Foot-and-mouth disease virus dynamics in border areas of Pakistan with Afghanistan. Mol Biol Rep 2024; 51:370. [PMID: 38411732 DOI: 10.1007/s11033-024-09262-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 01/17/2024] [Indexed: 02/28/2024]
Abstract
BACKGROUND Foot and mouth disease (FMD) is a highly contagious disease that impacts cloven-hoofed animals globally. The illegal trade of livestock between the border regions of Pakistan and Afghanistan can contribute to the spread of this disease. This study focuses on investigating the outbreaks of FMD that occurred in this area from June 2020 to May 2021. METHODS RESULTS: A total of 233 epithelial tissue samples were collected, and 77% were found positive for FMDV through an antigen-detection by ELISA and molecular conformation through RT-PCR. The study found three serotypes of FMDV dominating in the border area of Pakistan with Afghanistan: O, A, and Asia-1. The outbreak activity was peaked between August/September followed by July/October 2020. Phylogenetic analysis conducted using the VP1 region sequence showed that serotype O isolates belonged to the Middle East-South Asia (ME-SA) topotype, PanAsia-2 lineage, and ANT-10 sub-lineage, while serotype Asia-1 isolates belonged to a novel lineage BD-18.The highest prevalence of serotype O of FMDV was found in cattle and buffalo of 1-2 year age group, while the highest outbreak ratio of serotype O was recorded in goats of 0-1 year age group and sheep of > 2 year age group. The serotype O was more prevalent in male than female sheep. The type A was more prevalent in females of sheep and goats than their corresponding males. The serotype Asia-1 was more prevalent in females of cattle and sheep than their corresponding males. The outbreak epidemiology of FMD varied significantly between various regions, months of study, animal species, age groups, and gender. CONCLUSIONS The study found that FMD outbreaks in the border area of Pakistan and Afghanistan were diverse and complicated, and that different types of FMDV were circulating. The study recommended effective actions to stop FMD transmission in this area.
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Affiliation(s)
- Abdul Kabir
- Department, of Veterinary Microbiology, Faculty of Animal Husbandry and Veterinary Sciences, Sindh Agriculture University, Tandojam, 70060, Pakistan
| | - Asghar Ali Kamboh
- Department, of Veterinary Microbiology, Faculty of Animal Husbandry and Veterinary Sciences, Sindh Agriculture University, Tandojam, 70060, Pakistan.
| | | | - Hasina Baloch
- Department, of Veterinary Microbiology, Faculty of Animal Husbandry and Veterinary Sciences, Sindh Agriculture University, Tandojam, 70060, Pakistan
| | - Zaheer Ahmed Nizamani
- Department of Veterinary Pathology, Faculty of Animal Husbandry and Veterinary Sciences, Sindh Agriculture University, Tandojam, 70060, Pakistan
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Chowdhury T, Ahmed J, Hossain MT, Roy MC, Ashik‐Uz‐Zaman M, Uddin MN, Rahman MM, Kabir MG, Hossain FMA. Knowledge, attitudes and biosecurity practices among the small-scale dairy farmers in Sylhet district, Bangladesh. Vet Med Sci 2023; 9:2221-2229. [PMID: 37418347 PMCID: PMC10508524 DOI: 10.1002/vms3.1199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 03/09/2023] [Accepted: 06/23/2023] [Indexed: 07/09/2023] Open
Abstract
BACKGROUND In the context of zoonosis, Bangladesh's small-scale dairying is yet to frame satisfactory levels due to poor biosecurity practices. OBJECTIVES This study intended to reveal the degree of knowledge, attitudes and biosecurity practices among Sylhet district, Bangladesh's small-scale dairy farmers. We also focused on the association between biosecurity practices and the incidence of non-specific enteritis in humans. METHODS A questionnaire-based survey was conducted on the farmers' KAP via personal interviews of 15 farmers from the randomly selected fifteen small-scale dairy farms. The questionnaire was developed with 6 questions for knowledge, 6 questions for attitude and 12 questions for the practice of biosecurity measures. Alongside that, data on the number of non-specific enteritis cases experienced by the farmers or their family members were also recorded. Spearman correlation was used to find out the correlation among KAP variables and between practice scores and non-specific enteritis incidences. RESULTS We found an insignificant (p > 0.05) influence of demographic characteristics over knowledge, attitude and biosecurity practices. Significant (p < 0.05) and strong correlations were found in knowledge-attitude (r = 0.65), knowledge-practice (r = 0.71) and attitude-practice (r = 0.64). Incidences of non-specific enteritis and biosecurity measures' practice were also strongly correlated (r = -0.9232) and statistically significant (p < 0.05). CONCLUSIONS Our study suggests that increasing knowledge and developing a good attitude are necessary to increase the adaptation of biosecurity measures as three of these factors are correlated. Moreover, farm biosecurity measures are closely related to human health.
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Affiliation(s)
- Tonmoy Chowdhury
- Department of Dairy Science, Faculty of Veterinary, Animal and Biomedical SciencesSylhet Agricultural UniversitySylhetBangladesh
| | - Junayed Ahmed
- Department of Dairy Science, Faculty of Veterinary, Animal and Biomedical SciencesSylhet Agricultural UniversitySylhetBangladesh
| | - Md Tafazzal Hossain
- Department of Dairy Science, Faculty of Veterinary, Animal and Biomedical SciencesSylhet Agricultural UniversitySylhetBangladesh
| | - Mithu Chandra Roy
- Department of Dairy Science, Faculty of Veterinary, Animal and Biomedical SciencesSylhet Agricultural UniversitySylhetBangladesh
| | - Md Ashik‐Uz‐Zaman
- Department of Dairy Science, Faculty of Veterinary, Animal and Biomedical SciencesSylhet Agricultural UniversitySylhetBangladesh
| | - Md Nazim Uddin
- Department of Livestock Production and Management, Faculty of Veterinary, Animal and Biomedical SciencesSylhet Agricultural UniversitySylhetBangladesh
| | - Md Masudur Rahman
- Department of Pathology, Faculty of Veterinary, Animal and Biomedical SciencesSylhet Agricultural UniversitySylhetBangladesh
| | - Md Golam Kabir
- Department of Livestock Services (DLS)Integrated Livestock Development Project (ILDP) in Haor AreasDhakaBangladesh
| | - Ferdaus Mohd Altaf Hossain
- Department of Dairy Science, Faculty of Veterinary, Animal and Biomedical SciencesSylhet Agricultural UniversitySylhetBangladesh
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Nazari Ashani M, Alesheikh AA, Neisani Samani Z, Lotfata A, Bayat S, Alipour S, Hoseini B. Socioeconomic and environmental determinants of foot and mouth disease incidence: an ecological, cross-sectional study across Iran using spatial modeling. Sci Rep 2023; 13:13526. [PMID: 37598281 PMCID: PMC10439931 DOI: 10.1038/s41598-023-40865-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 08/17/2023] [Indexed: 08/21/2023] Open
Abstract
Foot-and-mouth disease (FMD) is a highly contagious animal disease caused by a ribonucleic acid (RNA) virus, with significant economic costs and uneven distribution across Asia, Africa, and South America. While spatial analysis and modeling of FMD are still in their early stages, this research aimed to identify socio-environmental determinants of FMD incidence in Iran at the provincial level by studying 135 outbreaks reported between March 21, 2017, and March 21, 2018. We obtained 46 potential socio-environmental determinants and selected four variables, including percentage of population, precipitation in January, percentage of sheep, and percentage of goats, to be used in spatial regression models to estimate variation in spatial heterogeneity. In our analysis, we employed global models, namely ordinary least squares (OLS), spatial error model (SEM), and spatial lag model (SLM), as well as local models, including geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR). The MGWR model yielded the highest adjusted [Formula: see text] of 90%, outperforming the other local and global models. Using local models to map the effects of environmental determinants (such as the percentage of sheep and precipitation) on the spatial variability of FMD incidence provides decision-makers with helpful information for targeted interventions. Our findings advocate for multiscale and multidisciplinary policies to reduce FMD incidence.
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Affiliation(s)
- Mahdi Nazari Ashani
- Department of Geospatial Information Systems, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - Ali Asghar Alesheikh
- Department of Geospatial Information Systems, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - Zeinab Neisani Samani
- Department of Geospatial Information Systems, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - Aynaz Lotfata
- Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, USA
| | - Sayeh Bayat
- Department of Biomedical Engineering, University of Calgary, Calgary, AB, Canada
- Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada
| | - Siamak Alipour
- Department of Geospatial Information Systems, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
| | - Benyamin Hoseini
- Pharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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Aslam M, Alkheraije KA. The prevalence of foot-and-mouth disease in Asia. Front Vet Sci 2023; 10:1201578. [PMID: 37456961 PMCID: PMC10347409 DOI: 10.3389/fvets.2023.1201578] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 06/07/2023] [Indexed: 07/18/2023] Open
Abstract
Foot-and-mouth disease (FMD) is listed among the highly contagious diseases in animals and is endemic throughout the Asian continent. The disease is caused by the Foot-and-mouth disease virus (FMDV) and affects a wide variety of domesticated animals as well as wild ungulates. Clinically, the disease is described as a vesicular lesion on the tongue, muzzle, lips, gum, dental pad, interdigital cleft, coronary band, and heel of the foot. Sometimes these lesions give rise to lameness. Mastitis is also caused due to teat lesions. A biochemical test reveals that during FMD infection, there are elevated levels of interleukin-1 (IL-1), tumor necrosis factor-alpha, interferon-gamma (IFN-γ), interleukin-6, serum amyloid A protein, lactoferrin, mannose-binding lectin, and monocytes chemo-attractant protein-1 in the serum of infected animals. There is no specific treatment for FMD although some antivirals are given as prophylaxis and antibiotics are given to prevent secondary bacterial infection. This review presents comprehensive data on the prevalence of FMD and serotypes of FMDV that are attributable to the cause of FMD from a regional point of view. It also explains the worldwide dynamics of the seven serotypes of FMD and tries to identify epidemiological clusters of FMD in various geographical areas. Furthermore, the pathology associated with the foot and mouth disease virus along with the pathophysiology is discussed. The continent-wide prevalence and diversity patterns of FMD suggest that there is a need for stringent policies and legislation implementation regarding research and development aimed at manufacturing strain-specific vaccination, infection prevention, and control of the disease.
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Affiliation(s)
- Munazza Aslam
- Department of Pathology, Faculty of Veterinary Science, University of Agriculture, Faisalabad, Pakistan
| | - Khalid A. Alkheraije
- Department of Veterinary Medicine, College of Agriculture and Veterinary Medicine, Qassim University, Buraidah, Saudi Arabia
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Fundisi E, Dlamini S, Mokhele T, Weir-Smith G, Motolwana E. Exploring Determinants of HIV/AIDS Self-Testing Uptake in South Africa Using Generalised Linear Poisson and Geographically Weighted Poisson Regression. Healthcare (Basel) 2023; 11:healthcare11060881. [PMID: 36981538 PMCID: PMC10048028 DOI: 10.3390/healthcare11060881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 03/01/2023] [Accepted: 03/14/2023] [Indexed: 03/30/2023] Open
Abstract
Increased HIV/AIDS testing is of paramount importance in controlling the HIV/AIDS pandemic and subsequently saving lives. Despite progress in HIV/AIDS testing programmes, most people are still reluctant to test and thus are still unaware of their status. Understanding the factors associated with uptake levels of HIV/AIDS self-testing requires knowledge of people's perceptions and attitudes, thus informing evidence-based decision making. Using the South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey of 2017 (SABSSM V), this study assessed the efficacy of Generalised Linear Poisson Regression (GLPR) and Geographically Weighted Poisson Regression (GWPR) in modelling the spatial dependence and non-stationary relationships of HIV/AIDS self-testing uptake and covariates. The models were calibrated at the district level across South Africa. Results showed a slightly better performance of GWPR (pseudo R2 = 0.91 and AICc = 390) compared to GLPR (pseudo R2 = 0.88 and AICc = 2552). Estimates of local intercepts derived from GWPR exhibited differences in HIV/AIDS self-testing uptake. Overall, the output of this study displays interesting findings on the levels of spatial heterogeneity of factors associated with HIV/AIDS self-testing uptake across South Africa, which calls for district-specific policies to increase awareness of the need for HIV/AIDS self-testing.
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Affiliation(s)
- Emmanuel Fundisi
- Geospatial Analytics Unit, eResearch Knowledge Centre, Human Sciences Research Council, Pretoria 0002, South Africa
| | - Simangele Dlamini
- Geospatial Analytics Unit, eResearch Knowledge Centre, Human Sciences Research Council, Pretoria 0002, South Africa
| | - Tholang Mokhele
- Geospatial Analytics Unit, eResearch Knowledge Centre, Human Sciences Research Council, Pretoria 0002, South Africa
| | - Gina Weir-Smith
- Geospatial Analytics Unit, eResearch Knowledge Centre, Human Sciences Research Council, Pretoria 0002, South Africa
- Geography, Archaeology and Environmental Studies, Wits University, Johannesburg 2050, South Africa
| | - Enathi Motolwana
- Geospatial Analytics Unit, eResearch Knowledge Centre, Human Sciences Research Council, Pretoria 0002, South Africa
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González Gordon L, Porphyre T, Muhanguzi D, Muwonge A, Boden L, Bronsvoort BMDC. A scoping review of foot-and-mouth disease risk, based on spatial and spatio-temporal analysis of outbreaks in endemic settings. Transbound Emerg Dis 2022; 69:3198-3215. [PMID: 36383164 PMCID: PMC10107783 DOI: 10.1111/tbed.14769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 11/11/2022] [Indexed: 11/17/2022]
Abstract
Foot-and-mouth disease (FMD) is one of the most important transboundary animal diseases affecting livestock and wildlife species worldwide. Sustained viral circulation, as evidenced by serological surveys and the recurrence of outbreaks, suggests endemic transmission cycles in some parts of Africa, Asia and the Middle East. This is the result of a complex process in which multiple serotypes, multi-host interactions and numerous socio-epidemiological factors converge to facilitate disease introduction, survival and spread. Spatial and spatio-temporal analyses have been increasingly used to explore the burden of the disease by identifying high-risk areas, analysing temporal trends and exploring the factors that contribute to the outbreaks. We systematically retrieved spatial and spatial-temporal studies on FMD outbreaks to summarize variations on their methodological approaches and identify the epidemiological factors associated with the outbreaks in endemic contexts. Fifty-one studies were included in the final review. A high proportion of papers described and visualized the outbreaks (72.5%) and 49.0% used one or more approaches to study their spatial, temporal and spatio-temporal aggregation. The epidemiological aspects commonly linked to FMD risk are broadly categorizable into themes such as (a) animal demographics and interactions, (b) spatial accessibility, (c) trade, (d) socio-economic and (e) environmental factors. The consistency of these themes across studies underlines the different pathways in which the virus is sustained in endemic areas, with the potential to exploit them to design tailored evidence based-control programmes for the local needs. There was limited data linking the socio-economics of communities and modelled FMD outbreaks, leaving a gap in the current knowledge. A thorough analysis of FMD outbreaks requires a systemic view as multiple epidemiological factors contribute to viral circulation and may improve the accuracy of disease mapping. Future studies should explore the links between socio-economic and epidemiological factors as a foundation for translating the identified opportunities into interventions to improve the outcomes of FMD surveillance and control initiatives in endemic contexts.
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Affiliation(s)
- Lina González Gordon
- The Epidemiology, Economics and Risk Assessment (EERA) Group, The Roslin Institute at The Royal (Dick) School of Veterinary StudiesUniversity of EdinburghEaster BushMidlothianUK
- Global Academy of Agriculture and Food SystemsUniversity of EdinburghEaster BushMidlothianUK
| | - Thibaud Porphyre
- Laboratoire de Biométrie et Biologie EvolutiveUniversité de Lyon, Université Lyon 1, CNRS, VetAgro SupMarcy‐l’ÉtoileFrance
| | - Dennis Muhanguzi
- Department of Bio‐Molecular Resources and Bio‐Laboratory Sciences, College of Veterinary Medicine, Animal Resources and BiosecurityMakerere UniversityKampalaUganda
| | - Adrian Muwonge
- The Epidemiology, Economics and Risk Assessment (EERA) Group, The Roslin Institute at The Royal (Dick) School of Veterinary StudiesUniversity of EdinburghEaster BushMidlothianUK
| | - Lisa Boden
- Global Academy of Agriculture and Food SystemsUniversity of EdinburghEaster BushMidlothianUK
| | - Barend M. de C Bronsvoort
- The Epidemiology, Economics and Risk Assessment (EERA) Group, The Roslin Institute at The Royal (Dick) School of Veterinary StudiesUniversity of EdinburghEaster BushMidlothianUK
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Rahman AKMA, Islam SS, Sufian MA, Talukder MH, Ward MP, Martínez-López B. Peste des Petits Ruminants Risk Factors and Space-Time Clusters in Bangladesh. Front Vet Sci 2021; 7:572432. [PMID: 33569395 PMCID: PMC7868412 DOI: 10.3389/fvets.2020.572432] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 12/14/2020] [Indexed: 11/13/2022] Open
Abstract
Peste des Petits Ruminants (PPR) is endemic in Bangladesh, but its spatial distribution and risk factors have not yet been reported. Using four years of national-level, passive surveillance data (2014 to 2017), in this study we aimed to identify risk factors, create PPR risk maps and describe PPR time-space clusters. We selected PPR case records—mainly based on presumptive diagnosis of small ruminants in subdistrict veterinary hospitals—and sheep and goat population data from all 64 districts of Bangladesh. Peste des Petits Ruminants cumulative incidence per 10,000 animals at risk per district was used to conduct cluster and hotspot analysis and create predictive maps for each year and all 4 years combined. The association between PPR cumulative incidence and hypothesized risk factors—including climatic variables, elevation, road length, river length, railroad length, land cover, and water bodies—was analyzed using a geographically weighted regression model. The total number of PPR cases reported during the study period was 5.2 million. We found that most PPR cases (27.6%) were reported in the monsoon season. The highest and lowest proportions of cases were reported from Rajshahi (36.1%) and Barisal divisions (2.1%), respectively. We identified five space-time clusters, 9 high–high clusters, and 9 hotspots. The predicted cumulative incidences of PPR were persistently higher in north-east, north-west, and south-east parts of Bangladesh. Road length (P = 0.03) was positively associated with PPR incidence in Bangladesh. Results suggest that movement of animals (road length) plays an important role in the epidemiology of PPR in Bangladesh. Along with restriction of animal movement, hotspots and high–high clusters should be targeted first for immunization coverage in Bangladesh and similar PPR endemic countries to achieve eradication.
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Affiliation(s)
- A K M Anisur Rahman
- Department of Medicine, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Sk Shaheenur Islam
- Department of Livestock Services, Krishi Khamar Sarak, Dhaka, Bangladesh
| | - Md Abu Sufian
- Department of Livestock Services, Krishi Khamar Sarak, Dhaka, Bangladesh
| | | | - Michael P Ward
- Sydney School of Veterinary Science, The University of Sydney, Camden, NSW, Australia
| | - Beatriz Martínez-López
- Department of Medicine and Epidemiology, Center for Animal Disease Modeling and Surveillance, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
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