مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

78
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

60
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Space-Time Cluster Analysis of Malaria in Fars Province-Iran

Pages

  0-0

Abstract

 Background: Malaria, a mosquito-borne infection, is caused by protozoan parasites invading the red blood cells of both humans and animals. Iran is an endemic site for Malaria with 1-10 cases per one million dwellers, in which 90% of cases occur in southern parts of Iran. Objectives: to detect Space-Time Clusters of Malaria in Fars Province-Iran during 1/1/2011 and 31/12/2015. Methods: 357 Malaria cases were recorded from 19 cities of Fars province. Permutation scan modeling was applied retrospectively to detect the outbreaks of Malaria during 1/1/2011 and 31/12/2015. SPSS V. 22, ITSM V. 2002, ArcGIS10, and SaTScan9. 4. 4 software tools were used. The significance level was considered 0. 05. Results: Basedonthe results of the current study, 5 Space-Time Clusters were discovered for Malaria, indicating that Malaria followed a time-space trend in the area (P value < 0. 05). The Most Likely Cluster (MLC) contained almost 50% (6/12) of all cases during 1/7/2015 and 31/7/2015 in Firoozabad (P < 0. 05); however, non-statistically significant clusters were detected which had clinically important information on the canons of the outbreaks. Conclusions: Malaria did not occur uniformly in Fars province during 1/1/2011 and 31/12/2015. Detected Space-Time Clusters could help Public health managers and policymakers dedicating clinical staff and facilities to more needy areas and consequently reduce the rate of disease in the area.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    REZAIANZADEH, ABBAS, ZARE, MARJAN, Aliakbarpoor, Mohsen, FARAMARZI, HOSSAIN, & EBRAHIMI, MOSTAFA. (2020). Space-Time Cluster Analysis of Malaria in Fars Province-Iran. INTERNATIONAL JOURNAL OF INFECTION, 7(3), 0-0. SID. https://sid.ir/paper/697936/en

    Vancouver: Copy

    REZAIANZADEH ABBAS, ZARE MARJAN, Aliakbarpoor Mohsen, FARAMARZI HOSSAIN, EBRAHIMI MOSTAFA. Space-Time Cluster Analysis of Malaria in Fars Province-Iran. INTERNATIONAL JOURNAL OF INFECTION[Internet]. 2020;7(3):0-0. Available from: https://sid.ir/paper/697936/en

    IEEE: Copy

    ABBAS REZAIANZADEH, MARJAN ZARE, Mohsen Aliakbarpoor, HOSSAIN FARAMARZI, and MOSTAFA EBRAHIMI, “Space-Time Cluster Analysis of Malaria in Fars Province-Iran,” INTERNATIONAL JOURNAL OF INFECTION, vol. 7, no. 3, pp. 0–0, 2020, [Online]. Available: https://sid.ir/paper/697936/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button