Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2019, , 85 - 94, 31.08.2019
https://doi.org/10.30931/jetas.595549

Öz

Kaynakça

  • [1] World Health Organization. Global tuberculosis. 2017 Report. Geneva; 2017.
  • [2] Manuel de la lutte antituberculeuse à l’usage des personnels médicaux. Programme National de Lutte Contre la Tuberculose-MSP, Direction de la prévention-INSP. INSP, édition 2007.
  • [3] Selmane, S., “The impact of isolation of identified active Tuberculosis cases on the number of latently infected individuals”, ICCSA 5 (2011) : 527-536.
  • [4] Manuel de la lutte antituberculeuse à l’usage des personnels médicaux. Programme National de Lutte Contre la Tuberculose- MSP, Direction de la prévention-INSP. Edition & Publications-ANDS 2012.
  • [5] Office national des statistiques. URL : http://www.ons.dz
  • [6] Allard R., “Use of time-series analysis in infectious disease surveillance”, Bull World Health Organ 76 (1998) : 327-333.
  • [7] Box G.E.P., Jenkins G.M., “Time series analysis, forecasting and control”, Holden-Day, San Francisco (1976).
  • [8] Selmane, S., L’hadj, M., “Forecasting and prediction of scorpion sting cases in Biskra Province, Algeria, using a seasonal autoregressive integrated moving average model”, Epidemiol Health 8 (2016) : 1-8.
  • [9] IHS EViews. EViews 9. Https://www.eviews.com/EViews9/ev9main.html.
  • [10] Solovic, I., Jonsson, J., Korzeniewska- Koseła, M., Chiotan, D.I., Pace-Asciak, A., Slump, E., Rumetshofer, R., Abubakar, I., Kos, S., Svetina-Sorli, P., Haas, W., Bauer, T., Sandgren, A., van der Werf, M.J., “Challenges in diagnosing extrapulmonary tuberculosis in the European Union, 2011”, Euro Surveill 18(12) (2013) : 1-9.
  • [11] Kruijshaar M.E., Abubakar I., “Increase in extrapulmonary tuberculosis in England and Wales 1999-2006”, Thorax 64(12) (2009) : 1090-5.
  • [12] Ates Guler, S., Bozkus, F., Inci M.F., et al., “Evaluation of pulmonary and extrapulmonary Tuberculosis in immunocompetent adults: A retrospective case series analysis”, Med Princ Pract 24 (2015) : 75-79.
  • [13] Gomes T., Reis-Santos B., Bertolde A., et al., “Epidemiology of extrapulmonary tuberculosis in Brazil: a hierarchical model”, BMC Infectious Diseases 14 (2014) : 9.
  • [14] Fernanda Monteiro de Castro, F., Eder de Souza, M., Daniella Melo Arnaud Sampaio, P., Maria do Socorro Nantua, E., “Relationship between climatic factors and air quality with tuberculosis in the Federal District, Brazil, 2003–2012”, The Brazilian Journal of Infectious Diseases 21(4) (2017) : 369-375.

Time Series Analysis of Tuberculosis in Medea Province in Algeria

Yıl 2019, , 85 - 94, 31.08.2019
https://doi.org/10.30931/jetas.595549

Öz

Despite Algeria has been able to join the group of countries with moderate tuberculosis (TB) prevalence since the 1980s, the disease remains one of the major public health issues in the country. Over the past decade, the annual incidence rate has hovered around 55 per 100 000 people. The incidence rate remains, however, very high in some provinces. The aim of this study was to describe the temporal patterns of TB in Médéa province which records the highest incidence rate in the country. In this retrospective study, the monthly pulmonary TB (PTB) and extrapulmonary TB (EPTB) data from 2008 to 2017, extracted from the national surveillance system, were analyzed and seasonal fluctuation was examined. The Box-Jenkins approach to fit seasonal autoregressive integrated moving average (SARIMA) model to the monthly PTB and EPTB notification data from 2008 to 2016 was performed. The models were used to predict the monthly cases of PTB and EPTB for the year 2017. The models were found to be adequate. Our findings indicate that SARIMA models are useful tools for monitoring and for predicting trends of TB incidence in Médea province.

Kaynakça

  • [1] World Health Organization. Global tuberculosis. 2017 Report. Geneva; 2017.
  • [2] Manuel de la lutte antituberculeuse à l’usage des personnels médicaux. Programme National de Lutte Contre la Tuberculose-MSP, Direction de la prévention-INSP. INSP, édition 2007.
  • [3] Selmane, S., “The impact of isolation of identified active Tuberculosis cases on the number of latently infected individuals”, ICCSA 5 (2011) : 527-536.
  • [4] Manuel de la lutte antituberculeuse à l’usage des personnels médicaux. Programme National de Lutte Contre la Tuberculose- MSP, Direction de la prévention-INSP. Edition & Publications-ANDS 2012.
  • [5] Office national des statistiques. URL : http://www.ons.dz
  • [6] Allard R., “Use of time-series analysis in infectious disease surveillance”, Bull World Health Organ 76 (1998) : 327-333.
  • [7] Box G.E.P., Jenkins G.M., “Time series analysis, forecasting and control”, Holden-Day, San Francisco (1976).
  • [8] Selmane, S., L’hadj, M., “Forecasting and prediction of scorpion sting cases in Biskra Province, Algeria, using a seasonal autoregressive integrated moving average model”, Epidemiol Health 8 (2016) : 1-8.
  • [9] IHS EViews. EViews 9. Https://www.eviews.com/EViews9/ev9main.html.
  • [10] Solovic, I., Jonsson, J., Korzeniewska- Koseła, M., Chiotan, D.I., Pace-Asciak, A., Slump, E., Rumetshofer, R., Abubakar, I., Kos, S., Svetina-Sorli, P., Haas, W., Bauer, T., Sandgren, A., van der Werf, M.J., “Challenges in diagnosing extrapulmonary tuberculosis in the European Union, 2011”, Euro Surveill 18(12) (2013) : 1-9.
  • [11] Kruijshaar M.E., Abubakar I., “Increase in extrapulmonary tuberculosis in England and Wales 1999-2006”, Thorax 64(12) (2009) : 1090-5.
  • [12] Ates Guler, S., Bozkus, F., Inci M.F., et al., “Evaluation of pulmonary and extrapulmonary Tuberculosis in immunocompetent adults: A retrospective case series analysis”, Med Princ Pract 24 (2015) : 75-79.
  • [13] Gomes T., Reis-Santos B., Bertolde A., et al., “Epidemiology of extrapulmonary tuberculosis in Brazil: a hierarchical model”, BMC Infectious Diseases 14 (2014) : 9.
  • [14] Fernanda Monteiro de Castro, F., Eder de Souza, M., Daniella Melo Arnaud Sampaio, P., Maria do Socorro Nantua, E., “Relationship between climatic factors and air quality with tuberculosis in the Federal District, Brazil, 2003–2012”, The Brazilian Journal of Infectious Diseases 21(4) (2017) : 369-375.
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Matematik
Bölüm Research Article
Yazarlar

Mohamed L'hadj Bu kişi benim 0000-0001-5589-6148

Schehrazad Selmane 0000-0002-3035-8172

Yayımlanma Tarihi 31 Ağustos 2019
Yayımlandığı Sayı Yıl 2019

Kaynak Göster

APA L’hadj, M., & Selmane, S. (2019). Time Series Analysis of Tuberculosis in Medea Province in Algeria. Journal of Engineering Technology and Applied Sciences, 4(2), 85-94. https://doi.org/10.30931/jetas.595549
AMA L’hadj M, Selmane S. Time Series Analysis of Tuberculosis in Medea Province in Algeria. JETAS. Ağustos 2019;4(2):85-94. doi:10.30931/jetas.595549
Chicago L’hadj, Mohamed, ve Schehrazad Selmane. “Time Series Analysis of Tuberculosis in Medea Province in Algeria”. Journal of Engineering Technology and Applied Sciences 4, sy. 2 (Ağustos 2019): 85-94. https://doi.org/10.30931/jetas.595549.
EndNote L’hadj M, Selmane S (01 Ağustos 2019) Time Series Analysis of Tuberculosis in Medea Province in Algeria. Journal of Engineering Technology and Applied Sciences 4 2 85–94.
IEEE M. L’hadj ve S. Selmane, “Time Series Analysis of Tuberculosis in Medea Province in Algeria”, JETAS, c. 4, sy. 2, ss. 85–94, 2019, doi: 10.30931/jetas.595549.
ISNAD L’hadj, Mohamed - Selmane, Schehrazad. “Time Series Analysis of Tuberculosis in Medea Province in Algeria”. Journal of Engineering Technology and Applied Sciences 4/2 (Ağustos 2019), 85-94. https://doi.org/10.30931/jetas.595549.
JAMA L’hadj M, Selmane S. Time Series Analysis of Tuberculosis in Medea Province in Algeria. JETAS. 2019;4:85–94.
MLA L’hadj, Mohamed ve Schehrazad Selmane. “Time Series Analysis of Tuberculosis in Medea Province in Algeria”. Journal of Engineering Technology and Applied Sciences, c. 4, sy. 2, 2019, ss. 85-94, doi:10.30931/jetas.595549.
Vancouver L’hadj M, Selmane S. Time Series Analysis of Tuberculosis in Medea Province in Algeria. JETAS. 2019;4(2):85-94.