Study the Prevalence of Upper Respiratory Tract Infections disease in high mountain area Hunza, Gilgit-Baltistan via Statistical Analysis

  • Nusrat Ali
  • Bulbul Jan
  • Shabbir Hussain
  • Shahid Hussain
  • Syed Arif Hussain
  • Faraz Mehmood
  • Azhar Iqbal
  • Arif-Un Nisa Naqvi
Keywords: Upper respiratory tract infections (URTI), prevalence, disease, statistical analysis

Abstract

It is known that Upper respiratory tract infections (URTI) are among the most known causes of outpatient appointments globally. The current study investigates the prevalence of UTRI among population of Hunza District, Gilgit-Baltistan, may help to reduce the mortalities and comorbid health issues by taking prompt actions. The mountainous region Hunza is situated at high altitude, experienced cold weather conditions and have not better human health care facilitates. The continuous negligence may lead to the outbreak of this disease in whole Hunza District. A cross-sectional study and Exploratory Data Analysis (EDA) were applied to investigate the prevalence of UTRI and used monthly data from the year 1st July- 2014 to 31-March -2016. The current study showed positive UTRI, 66.2% in age group  20 years, similarly 23.5% age group in 21-40 years old, further 6.9% in age group 41-60 years old whereas 3.20% in age groups of 61-80 years old. The overall gender-based prevalence of UTRI in all age group showed higher 53.1% in males as compared to 46.9% in females. URTI become burning health concerns all over the world, especially in less developing regions and must pay a high cost to the people of the society. The clinical study, significant results are convinced and suggested for further analysis of this disease on broad scale in the society.

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Published
2026-07-20
How to Cite
Ali, N., Jan, B., Hussain, S., Hussain, S., Hussain, S., Mehmood, F., Iqbal, A., & Naqvi, A.-U. (2026). Study the Prevalence of Upper Respiratory Tract Infections disease in high mountain area Hunza, Gilgit-Baltistan via Statistical Analysis. International Journal of Artificial Intelligence & Mathematical Sciences, 4(2), 31-39. https://doi.org/10.58921/ijaims.v4i2.175