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Geospatial health2017; 12(2); 589; doi: 10.4081/gh.2017.589

Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016.

Abstract: An analysis of the anthrax epidemic situation among livestock animals in the Republic of Kazakhstan over the period 1933-2016 is presented. During this time, 4,064 anthrax outbreaks (mainly in cattle, small ruminants, pigs and horses) were recorded. They fall into five historical periods of increase and decrease in the annual anthrax incidence (1933-1953; 1954-1968; 1969-1983; 1984- 2001; and 2002-2016), which has been associated with changes in economic activity and veterinary surveillance. To evaluate the temporal trends of incidence variation for each of these time periods, the following methods were applied: i) spatio-temporal analysis using a space-time cube to assess the presence of hotspots (i.e., areas of outbreak clustering) and the trends of their emergence over time; and ii) a linear regression model that was used to evaluate the annual numbers of outbreaks as a function of time. The results show increasing trends during the first two periods followed by a decreasing trend up to now. The peak years of anthrax outbreaks occurred in 1965-1968 but outbreaks still continue with an average annual number of outbreaks of 1.2 (95% confidence interval: 0.6-1.8). The space-time analysis approach enabled visualisation of areas with statistically significant increasing or decreasing trends of outbreak clustering providing a practical opportunity to inform decision-makers and allowing the veterinary services to concentrate their efforts on monitoring the possible risk factors in the identified locations.
Publication Date: 2017-11-13 PubMed ID: 29239565DOI: 10.4081/gh.2017.589Google Scholar: Lookup
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  • Journal Article

Summary

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The research article details an analysis of the anthrax epidemic in livestock in Kazakhstan from 1933-2016, identifying peaks and declines in outbreaks, and associating them with changes in economic activity and veterinary surveillance.

Objective of Study

  • The study aimed to analyze the anthrax epidemic among livestock animals in Kazakhstan from 1933-2016, accounting for 4,064 outbreaks during this period.
  • The researchers aimed to identify patterns in the incidence of the disease and associate these trends with changes in economic activity and veterinary surveillance.

Methods Used

  • The spatio-temporal analysis using a space-time cube was employed to determine the presence of hotspots, or areas of outbreak clustering, and observe the trends of their emergence over time.
  • A linear regression model was used to calculate the annual numbers of outbreaks as a function of time. This enabled the researchers to identify periods of increase and decrease in the incidence of the disease.

Key Findings

  • The study identified five historical periods of increase and decrease in the annual anthrax incidence: 1933-1953; 1954-1968; 1969-1983; 1984- 2001; and 2002-2016.
  • Increased trends were noted during the first two periods, followed by a decreasing trend.
  • Peak years of anthrax outbreaks occurred between 1965 and 1968.
  • Outbreaks are still ongoing, with an average annual number of outbreaks of 1.2 (with a 95% confidence interval: 0.6-1.8).

Implications of Study

  • The space-time analysis approach has enabled the visualization of areas with statistically significant increasing or decreasing trends of outbreak clustering.
  • This information can potentially be used to inform decision-makers, allowing veterinary services to concentrate their resources and efforts on monitoring possible risk factors in identified locations.

Cite This Article

APA
Abdrakhmanov SK, Mukhanbetkaliyev YY, Korennoy FI, Karatayev BS, Mukhanbetkaliyeva AA, Abdrakhmanova AS. (2017). Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016. Geospat Health, 12(2), 589. https://doi.org/10.4081/gh.2017.589

Publication

ISSN: 1970-7096
NlmUniqueID: 101302943
Country: Italy
Language: English
Volume: 12
Issue: 2
Pages: 589

Researcher Affiliations

Abdrakhmanov, Sarsenbay K
  • S. Seifullin Kazakh Agrotechnical University, Astana. s_abdrakhmanov@mail.ru.
Mukhanbetkaliyev, Yersyn Y
    Korennoy, Fedor I
      Karatayev, Bolat Sh
        Mukhanbetkaliyeva, Aizada A
          Abdrakhmanova, Aruzhan S

            MeSH Terms

            • Animals
            • Anthrax / veterinary
            • Cattle
            • Disease Outbreaks / veterinary
            • Epidemics
            • Horses
            • Humans
            • Incidence
            • Kazakhstan / epidemiology
            • Linear Models
            • Livestock / microbiology
            • Risk Factors
            • Spatio-Temporal Analysis
            • Swine