How Misuse of Statistics Can Spread Misinformation: A Study of Misrepresentation of COVID-19 Data

• Tác giả: Rahul Batra, Shailesh Bharati
• Ngôn ngữ: eng
• Ký hiệu phân loại: 362.1962414 Physical illness
• Thông tin xuất bản: 2021
• Bộ sưu tập: Báo, Tạp chí
• ID: 166245

Tóm tắt

 This paper investigates various ways in which a pandemic such as the novel coronavirus, could be predicted using different mathematical models. It also studies the various ways in which these models could be depicted using various visualization techniques. This paper aims to present various statistical techniques suggested by the Centres for Disease Control and Prevention in order to represent the epidemiological data. The main focus of this paper is to analyse how epidemiological data or contagious diseases are theorized using any available information and later may be presented wrongly by not following the guidelines, leading to inaccurate representation and interpretations of the current scenario of the pandemic
  with a special reference to the Indian Subcontinent.