SciELO - Scientific Electronic Library Online

 
vol.22 issue2Pythiosis cutaneous in horses treated with triamcinolone acetonide. Part 3. Histomorphometric analysisGastrointestinal protozoa in dairy calves: identification of risk factors for infection author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista MVZ Córdoba

Print version ISSN 0122-0268

Abstract

MOKHTARI, Azam; AZIZI, Zahra  and  FRADONBEH, Soheila Rabiaee. Epidemiological study and spatial modeling of peste des petits ruminants (PPR) in central area of Iran. Rev.MVZ Cordoba [online]. 2017, vol.22, n.2, pp.5899-5909. ISSN 0122-0268.  https://doi.org/10.21897/rmvz.1026.

Objective.

Estimate the prevalence and spatial modeling of PPR in the small ruminant population of Chaharmahal and Bakhtiari, Iran, during 2009-2014.

Materials and methods.

Data were collected from veterinary organization and Offices in Chaharmahal and Bakhtiari province and data analysis was carried out using and IBM SPSS version 22 and Office 2010. For spatial modeling geographic information system (QGIS and PCI-Geomatic) was used.

Results.

This study showed that the overall prevalence of PPR during the years 2009 to 2014 was 1.37%. Koohrang, Ardal, Lordegan, Ben, Borougen, Shahrekord, Farsan and Kiar cities had the highest prevalence of PPR, respectively. The highest PPR infection rate was observed in the March and goat more affected rather than other ruminants.

Conclusions.

Our findings provide evidence of a rather common prevalence of PPR and its spatial distribution in Chaharmahal and Bakhtiari province. Using statistical tests for data analysis of PPR and its spatial modeling researchers can predict the incidence of disease in the future and could select appropriate measures of disease control.

Keywords : Epidemiology; peste des petits; prevalence; spatial modeling (Source:CAB).

        · abstract in Spanish     · text in English     · English ( pdf )