Literature DB >> 32473091

Ratio, rate, or risk?

Srinivas Mantha1.   

Abstract

Entities:  

Year:  2020        PMID: 32473091      PMCID: PMC7255272          DOI: 10.1016/S1473-3099(20)30439-4

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


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In epidemiology, the terms ratio, rate, and risk have clear definitions. In the emerging publications related to coronavirus disease 2019 (COVID-19), the phrase case fatality rate is being used instead of case fatality ratio.2, 3 A ratio is a comparison of two similar quantities. Ratios have no dimensions and can take any value; a ratio of 1 means the two quantities being compared are equal to each other. The case fatality ratio is the ratio of deaths (numerator) to identified cases (denominator), and is usually expressed as percentage.2, 3 As clearly described by Kelly and Cowling, a rate has a time dimension (ie, time−1); it expresses changes in one quantity over a time period. Risk, however, is the probability associated with an adverse outcome that is likely to occur in the future during follow-up. Like ratios, risk has no dimensions but, unlike ratios, risk is confined to values between 0 and 1. From a scientific standpoint, these terms acquire different meanings depending on the variables being measured in the relevant study designs. In the context of the COVID-19 pandemic, case fatality ratios are obtained from cross-sectional studies, whereas risk estimates are obtained from prospective cohort studies. The infection rate is calculated by counting new infections in equally spaced time intervals (eg, daily or weekly). This growth rate reflects the speed and scale of new cases and can be used to monitor the effects of preventive interventions. Thus, in scientific research, these terms do not always align with their usual English language semantics and should not be used interchangeably. Ratio, rate, and risk have different meanings that are based on the variable being measured in the relevant study designs. It is hoped that future publications will use the terms appropriately, in line with the context.
  3 in total

1.  Case fatality: rate, ratio, or risk?

Authors:  Heath Kelly; Benjamin J Cowling
Journal:  Epidemiology       Date:  2013-07       Impact factor: 4.822

2.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

3.  The many estimates of the COVID-19 case fatality rate.

Authors:  Dimple D Rajgor; Meng Har Lee; Sophia Archuleta; Natasha Bagdasarian; Swee Chye Quek
Journal:  Lancet Infect Dis       Date:  2020-03-27       Impact factor: 25.071

  3 in total
  2 in total

1.  Biostatistics to better detect fishy findings.

Authors:  Arnaud Tarantola; Laurent Gautier
Journal:  Lancet Infect Dis       Date:  2020-06-29       Impact factor: 25.071

2.  Cure and death play a role in understanding dynamics for COVID-19: Data-driven competing risk compartmental models, with and without vaccination.

Authors:  Min Lu; Hemant Ishwaran
Journal:  PLoS One       Date:  2021-07-15       Impact factor: 3.240

  2 in total

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