TB Research

Incidence of Registered Tuberculosis in Nineveh Governorate, a Case Study

Rafia Alnuaim, Nabaa Al-Jawadi, Liqaa Almoosa

Iraqi National Journal of Medicine · 2023-01

Abstract

Background After data has been sorted, statistical analysis is used to compare it. Statistical analysis was used to compare tuberculosis data from two different and distinct years in order to determine the extent of the development of this disease.
 Aim This study aimed to estimate the annual incidence of registered tuberculosis cases in the Nineveh Governorate before and after the (COVID-19) pandemic outbreak. These injuries were compared with data on this disease recorded in Iraq, neighboring countries, and the world. To investigate the personal characteristics and fate of diagnosed patients was yet another aim.
 Methods Data on diagnosed tuberculosis patients 654, and 249 registered in the Specialized Chest Disease Center in Nineveh for 1993, and 2021 respectively. Data for the year 1993 were recorded in a complete form for statistical analysis, while data for the year 2021 were recorded on the computer.
 Results Despite the governorate's population growth, the infection rate decreased from 37 cases per 100,000 people in 1993 to 4 cases per 100,000 people in 2021. In contrast, the incidence of extrapulmonary tuberculosis increased from 25% to 33% between 1993 and 2021, based on the number of recorded cases. In 1993, the age group (25-45) was the most affected, and the rate of infection in urban areas was 81% in 2021, with the rest of the rates being close.
 Conclusion The study concluded that the results are consistent with Iraqi and global statistics, as there has been a significant and gradual decrease in injuries recently compared to previous years. This was attributed to vaccinations and raising health awareness among all age groups, as well as rural and urban residents, as well as the spread of COVID-19.

MeSH terms

  • Tuberculosis
  • Medicine
  • Incidence (geometry)
  • Outbreak
  • Statistical analysis
  • Disease
  • Population
  • Demography
  • Pandemic
  • Coronavirus disease 2019 (COVID-19)