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Case study

COVID-19 outbreak in Herat Prison: an exercise of basic biostatistical analysis

COVID-19 outbreak in Herat Prison: an exercise of basic biostatistical analysis

Shoaib Naeemi1,&, Khwaja Mir Islam Saeed2, Mir Salamuddin Hakim2

 

1Eastern Mediterranean Public Health Network (EMPHNET) Afghanistan Country Office, Afghanistan, 2Afghanistan Field Epidemiology Training Program (AFETP), Eastern Mediterranean Public Health Network (EMPHNET) Afghanistan National Public Health Institute, Ministry of Public Health, Afghanistan

 

 

&Corresponding author
Shoaib Naeemi, Eastern Mediterranean Public Health Network (EMPHNET) Afghanistan Country Office, Afghanistan

 

 

Abstract

Biostatistics plays a pivotal role in the field of epidemiology, particularly in the training programs aimed at equipping professionals with the necessary skills to effectively analyze and interpret data related to disease outbreaks. In the context of epidemiology, biostatistics provides a systematic framework for collecting, organizing, analyzing, and interpreting data, enabling epidemiologists to gain valuable insights into the patterns, determinants, and impact of diseases on populations. A comprehensive understanding of biostatistics is crucial for epidemiologists as they strive to identify risk factors, assess disease burden, and design appropriate public health interventions. This practical exercise which highlights the application of biostatistics in epidemiology, is the analysis of a line list from an outbreak that occurred in Herat Province prison, Afghanistan in July 2022. Using the principles of biostatistics, participants would be tasked with conducting a basic analysis of this line list. The exercise would also emphasize the importance of data visualization techniques. Participants would be encouraged to create graphs, such as bar and pie charts, to visualize the temporal distribution of cases and identify potential patterns or clusters. Through this exercise, participants would not only gain practical experience in utilizing biostatistical techniques but also understand the value of these methods in identifying key epidemiological features of an outbreak. By accurately analyzing the line list data, they would be able to identify risk factors, understand the mode of transmission, and inform public health interventions and control measures to mitigate the spread of the outbreak.

 

 

How to use this case study    Down

Time allotted: 1-2 Hours

Language: English

Groups: 3-5 residents per group

Materials required: pen, pencil, flip chart, calculator, marker, highlighter pen, ruler and personal computer (if available)

 

 

Case study material Up    Down

  • Download the case study student guide;
  • Request the case study facilitator guide.

 

 

Competing interests Up    Down

The authors declare no competing interests.

 

 

References Up    Down

  1. World Health Organization. WHO coronavirus (COVID-19) dashboard, World Health Organization. World Health Organization. Accessed on July 1, 2023.

  2. Worobey M, Pekar J, Larsen BB, Nelson MI, Hill V, Joy JB et al. The emergence of SARS-CoV-2 in Europe and North America. Science. 2020 Oct 30;370(6516):564-570 Epub 2020 Sep 10. PubMed | Google Scholar