Estudio epidemiológico y modelación espacial de peste de pequeños rumiantes (PPR) en el área central de Irán

Mokhtari, Azam; Azizi, Zahra; Fradonbeh, Soheila Rabiaee

doi:10.21897/rmvz.1026

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…The following geographically distributed landscape, climatic and socio-economic characteristics for each administrative unit were selected as potential explanatory factors based on the analysis of scientific publications on PPR spatial and temporal modeling (Ma et al, 2017(Ma et al, , 2019Mokhtari et al, 2017;Cao et al, 2018; Gao et al, 2019; Ruget et al, 2019): 1) total road length; 2) road density; 3) average small ruminants density; 4) average cattle density; 5) average population density; 6) average elevation; 7) annual mean temperature; 8) annual precipitation; 9) maximum green vegetation fraction. Measurement units and data sources are shown in Table 1.…”

Section: Modeling Methodsmentioning

confidence: 99%

Mapping the risks of Peste des Petits Ruminants spread in the Republic of Kazakhstan

Abdrakhmanov¹,

Mukhanbetkaliev²,

Sultanov³

et al. 2020

Preprint

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Peste des petits ruminants (PPR) is a viral transboundary disease of small ruminants that causes significant damage to agriculture. The disease has not been previously registered in the Republic of Kazakhstan (RK). This paper presents an assessment of the susceptibility of the RK territory to the spread of this disease in case of its importation from infected countries. Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) models trained on the PPR outbreaks in China were used to rank municipal districts of the RK in terms of the risk of PPR spread. Spatial density of outbreaks was used as a risk indicator while a number of socio-economic, landscape and climatic indicators were considered as explanatory variables. The Exploratory Regression tool was used to reveal a best combination of independent variables based on specified thresholds of R-squared, variables' multicollinearity and residuals' normality and autocorrelation. The small ruminants' density, the maximum green vegetation fraction, the annual mean temperature, the road length and density as well as the cattle density were the most significant factors. Both OLS and GWR demonstrated nearly similar model performance providing a global adjusted R-squared of 0.61. Applied to the RK, the models show the greatest risk of PPR spread in the south-eastern and northern regions of the country, especially within Almaty, Zhambyl, Turkistan, West Kazakhstan and East Kazakhstan regions. As part of the study, a country-wise survey was carried out to collect data on the distribution of livestock population the RK, which resulted in compiling a complete geo-database of small ruminants' holdings in the country. The research results can be used to form a national strategy for the prevention of the importation and spread of PPR in Kazakhstan through targeted monitoring in high-risk areas.

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Section: Modeling Methodsmentioning

confidence: 99%

Mapping the risks of Peste des Petits Ruminants spread in the Republic of Kazakhstan

Abdrakhmanov¹,

Mukhanbetkaliev²,

Sultanov³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…In Iran, the prevalence of PPR in small ruminants firstly was documented clinically, pathologically, and serologically in Ilam Province in 1995 (cited by Bazarghani et al, 2006). Recently, this disease has been reported in different parts of Iran (Zakian et al, 2016;Mokhtari et al, 2017;Rasooli et al, 2018;Allahvirdizadeh et al, 2020;Alidadi et al, 2021). Seroprevalence of SRMV in dromedary camels has also been reported in different countries (Intisar et al, 2017;Chemweno et al, 2019;Hemida, & Al-Ghadeer, 2019;Rahman et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Serological Detection of SRMV, Bovine Viral Diarrhea Virus, BVDV and BEFV in Camels (Camelus dromedarius) in Southwest Iran

Rasooli,

Nouri,

Seyfi Abad Shapouri

et al. 2023

Iran J Vet Med

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Background: Small ruminant morbillivirus (SRMV), bovine viral diarrhea virus (BVDV), bovine herpes virus-1 (BHV-1), and bovine ephemeral fever virus (BEFV) are among the most important viruses of farm animals. Objectives: This study aimed at the serological detection of SRMV, BVDV, BHV-1, and BEFV in the camel population of Khuzestan Province, located in southwest Iran. Methods: A total of 150 camel blood samples were randomly collected from free-ranging, seemingly healthy camels of both sexes and various ages in 8 different regions of Khuzestan Province, Iran. The sera were tested for SRMV, BVDV, BHV-1, and BEFV with serum neutralization test. Results: The seropositive samples for SRMV, BVDV, and BHV-1 were 1(0.67%), 7(4.67%), and 11(7.33%), respectively. There was no seroconversion against BEFV in the serum samples. Conclusion: The camel population of Khuzestan Province is subclinically infected with SRMV, BVDV, and BHV-1 and could play a significant role in the epizootiology of these viral diseases in this region, which is very important for the control and eradication programs.

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Modeling the lumpy skin disease risk probability in central Zagros Mountains of Iran

Ardestani

Mokhtari

2020

Preventive Veterinary Medicine

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Estudio epidemiológico y modelación espacial de peste de pequeños rumiantes (PPR) en el área central de Irán

Cited by 4 publications

References 14 publications

Mapping the risks of Peste des Petits Ruminants spread in the Republic of Kazakhstan

Mapping the risks of Peste des Petits Ruminants spread in the Republic of Kazakhstan

Serological Detection of SRMV, Bovine Viral Diarrhea Virus, BVDV and BEFV in Camels (Camelus dromedarius) in Southwest Iran

Modeling the lumpy skin disease risk probability in central Zagros Mountains of Iran

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