Pediatric HIV outbreak in Pakistan: policy implications from generalized arima analysis
DOI:
https://doi.org/10.47494/mesb.v5i.50Keywords:
Pediatric, HIV, outbreak, Pakistan, Policy, Implications, generalized, arima, analysesAbstract
HIV/AIDS is increasingly becoming a nightmare in Pakistan. If left uncontrolled now, the country’s limited resources could be overwhelmed by 2030 and this will cause worse sufferings and disease burden in the country. Using annual time series data on the number of children (ages 0 – 14) newly infected with HIV in Pakistan from 1990 – 2018, the study predicts the annual number of children who will be newly infected with HIV over the period 2019 – 2030. The study applied the Box-Jenkins ARIMA technique. The diagnostic ADF tests show that, W, the series under consideration is an I (1) variable. Based on the AIC, the study presents the ARIMA (1, 1, 1) model as the parsimonious model. The residual correlogram further reveals that the estimated model is stable. The results of the study indicate that the number of new HIV infections in Pakistan is rising and on this trajectory, the country’s limited resources will soon be overwhelmed. Our best model revealed that new pediatric HIV infections in Pakistan will continue to rise from the estimated 1460 to almost 1990 annual new infections by 2030. Amongst other policy directions, the study encourages the government of Pakistan to increase HIV awareness as well as expand PPTCT coverage throughout the country.
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References
Bhatti, A. B., Usman, M., & Kandi, V. (2016). Current Scenario of HIV/AIDS, Treatment Options, and Major Challenges with Compliance to Antiretroviral Therapy, Cureus, 8 (3): 1 – 15.
Ghani, A. (2016). HIV/AIDS Cases on the Rise in Pakistan, The Express Tribune, accessed on 01/08/2020.
Hussain, A., et al. (2018). HIV/AIDS – A Growing Epidemic in Pakistan, Journal of Evolution of Medical and Dental Sciences, 7 (8): 1057 – 1062.
Khalid, H., & Fox, A. M. (2019). Political and Governance Challenges to Achieving Global HIV Goals with Injecting Drug Users: The Case of Pakistan, International Journal of Health Policy and Management, 8 (5): 261 – 271.
Khan, A. A., & Khan, A. (2012). Sexually Transmitted Infection Care in Pakistan: The Providers’ Perspective, Journal of Pakistan Medical Association, 62 (9): 941 – 945.
Ministry of National Health Services, Regulations & Coordination (2017). AIDS Epidemic Modelling Exercise for Pakistan 2017, Ministry of National Health Services, Regulations & Coordination, Government of Pakistan.
Nawaz, A., et al. (2019). Outbreak of HIV/AIDS in Very Low Risk Population in District Larkana, Pakistan: Cross Sectional Study, Indian Journal of Pure and Applied Biosciences, 7 (4): 38 – 40.
Nyoni, T (2018b). Modeling and Forecasting Inflation in Kenya: Recent Insights from ARIMA and GARCH analysis, Dimorian Review, 5 (6): 16 – 40.
Nyoni, T. (2018a). Modeling and Forecasting Naira/USD Exchange Rate in Nigeria: A Box-Jenkins ARIMA Approach, MPRA Paper No. 88622, University Library of Munich, Munich, Germany.
Nyoni, T. (2018c). Box – Jenkins ARIMA Approach to Predicting net FDI inflows in Zimbabwe, MPRA Paper No. 87737, University Library of Munich, Munich, Germany.
Siddiqui, A. R., et al. (2020). Investigation of an Extensive Outbreak of HIV Infection Among Children in Sindh, Pakistan: Protocol for a Matched Case-Control Study, BMJ Open, 10: 1 – 8.
UNAIDS (2014). Global AIDS Response Progress Report, UNAIDS, Islamabad.
WHO (2019). HIV Outbreak in Sindh Province, WHO, Geneva.
Yusufzai, A. (2011). AIDS Drugs Access Fraught with Hazard for Pakistan’s Tribal Regions, The Guardian News and Media, accessed on 01/08/2020.
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Copyright (c) 2020 Smartson. P. NYONI, Thabani NYONI
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