IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/97331.html
   My bibliography  Save this paper

Forecasting TB notifications at Zengeza clinic in Chitungwiza, Zimbabwe

Author

Listed:
  • Nyoni, Smartson. Pumulani
  • Nyoni, Thabani

Abstract

This study uses monthly time series data on TB notifications at Zengeza clinic in Chitungwiza from January 2013 to December 2018; to forecast TB notifications using the Box & Jenkins (1970) approach to univariate time series analysis. Diagnostic tests indicate that TBN is an I (0) variable. Based on the AIC, the study presents the SARMA (2, 0, 2)(1, 0, 1)12 model, the diagnostic tests further show that this model is quite stable and hence acceptable for forecasting the TB notifications at Zengeza clinic. The selected optimal model shows that the TB notifications will decline over the out-of-sample period. The main policy recommendation emanating from this study is that there should be continued intensification of TB surveillance and control programmes in order to reduce TB incidences not only at Zengeza clinic but also in Zimbabwe at large.

Suggested Citation

  • Nyoni, Smartson. Pumulani & Nyoni, Thabani, 2019. "Forecasting TB notifications at Zengeza clinic in Chitungwiza, Zimbabwe," MPRA Paper 97331, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:97331
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/97331/1/MPRA_paper_97331.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yan-Ling Zheng & Li-Ping Zhang & Xue-Liang Zhang & Kai Wang & Yu-Jian Zheng, 2015. "Forecast Model Analysis for the Morbidity of Tuberculosis in Xinjiang, China," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-13, March.
    2. Elizabeth L Corbett & Tsitsi Bandason & Yin Bun Cheung & Shungu Munyati & Peter Godfrey-Faussett & Richard Hayes & Gavin Churchyard & Anthony Butterworth & Peter Mason, 2007. "Epidemiology of Tuberculosis in a High HIV Prevalence Population Provided with Enhanced Diagnosis of Symptomatic Disease," PLOS Medicine, Public Library of Science, vol. 4(1), pages 1-9, January.
    3. Nyoni, Thabani, 2018. "Box-Jenkins ARIMA approach to predicting net FDI inflows in Zimbabwe," MPRA Paper 87737, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Naimoli, Antonio, 2022. "Modelling the persistence of Covid-19 positivity rate in Italy," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    2. Nyoni, Thabani, 2019. "Where is Eritrea going in terms of population growth? Insights from the ARIMA approach," MPRA Paper 92435, University Library of Munich, Germany.
    3. Nyoni, Thabani, 2019. "Modeling and forecasting demand for electricity in Zimbabwe using the Box-Jenkins ARIMA technique," MPRA Paper 96903, University Library of Munich, Germany.
    4. Nyoni, Thabani, 2019. "Analyzing CPI dynamics in Italy," MPRA Paper 92421, University Library of Munich, Germany.
    5. Nyoni, Thabani, 2019. "Forecasting CPI in Sweden," MPRA Paper 92418, University Library of Munich, Germany.
    6. Nyoni, Thabani, 2019. "Modeling and forecasting CPI in Myanmar: An application of ARIMA models," MPRA Paper 92420, University Library of Munich, Germany.
    7. Gaetano Perone, 2022. "Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 917-940, August.
    8. Hapanyengwi, Hamadziripi Oscar & Mutongi, Chipo & Nyoni, Thabani, 2019. "Understanding Inflation Dynamics in the kingdom of Eswantini: A Univariate Approach," MPRA Paper 94560, University Library of Munich, Germany, revised 18 Jun 2019.
    9. Nyoni, Thabani, 2019. "A Box-Jenkins ARIMA approach to the population question in Pakistan: A reliable prognosis," MPRA Paper 92434, University Library of Munich, Germany.
    10. Nyoni, Thabani, 2019. "The population question in Zimbabwe: reliable projections from the Box – Jenkins ARIMA approach," MPRA Paper 96791, University Library of Munich, Germany.
    11. Andrew D Kerkhoff & Katharina Kranzer & Taraz Samandari & Jessica Nakiyingi-Miiro & Christopher C Whalen & Anthony D Harries & Stephen D Lawn, 2012. "Systematic Review of TST Responses in People Living with HIV in Under-Resourced Settings: Implications for Isoniazid Preventive Therapy," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-12, November.
    12. Nyoni, Thabani, 2019. "Modeling and forecasting inflation in Tanzania using ARIMA models," MPRA Paper 92458, University Library of Munich, Germany.
    13. Nyoni, Thabani, 2019. "Is the United States of America (USA) really being made great again? witty insights from the Box-Jenkins ARIMA approach," MPRA Paper 91353, University Library of Munich, Germany.
    14. Nyoni, Thabani, 2019. "Understanding inflation trends in Israel: A univariate approach," MPRA Paper 92427, University Library of Munich, Germany.
    15. Nyoni, Thabani, 2019. "Forecasting UK consumer price index using Box-Jenkins ARIMA models," MPRA Paper 92410, University Library of Munich, Germany.
    16. Nyoni, Thabani, 2019. "Can Algeria be the first African country to outsmart the Malthusian population trap? Insights from the ARIMA approach," MPRA Paper 92425, University Library of Munich, Germany.
    17. Adrian Muwonge & Sydney Malama & Tone B Johansen & Clovice Kankya & Demelash Biffa & Willy Ssengooba & Jacques Godfroid & Berit Djønne & Eystein Skjerve, 2013. "Molecular Epidemiology, Drug Susceptibility and Economic Aspects of Tuberculosis in Mubende District, Uganda," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-10, May.
    18. Linda Watson & Siwei Qi & Andrea DeIure & Claire Link & Lindsi Chmielewski & April Hildebrand & Krista Rawson & Dean Ruether, 2021. "Using Autoregressive Integrated Moving Average (ARIMA) Modelling to Forecast Symptom Complexity in an Ambulatory Oncology Clinic: Harnessing Predictive Analytics and Patient-Reported Outcomes," IJERPH, MDPI, vol. 18(16), pages 1-11, August.
    19. Nyoni, Thabani, 2019. "ARIMA modeling and forecasting of Consumer Price Index (CPI) in Germany," MPRA Paper 92442, University Library of Munich, Germany.
    20. Nyoni, Thabani, 2019. "Modeling and forecasting inflation in Philippines using ARIMA models," MPRA Paper 92429, University Library of Munich, Germany.

    More about this item

    Keywords

    Forecasting; TB; TB notifications;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:97331. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.