MERS transmission and risk factors: a systematic review

Ji-Eun Park1, Soyoung Jung2, Aeran Kim2

  • 1Research Center for Korean Medicine Policy, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.

BMC Public Health
|May 3, 2018
PubMed
Abstract

Insights

This review of Middle East respiratory syndrome (MERS) found that transmissibility and severity vary by region and patient factors. Older age and existing diseases are key risk factors for MERS infection and mortality.

Area of Science:

  • Epidemiology
  • Infectious Diseases
  • Public Health

Background:

  • Middle East respiratory syndrome (MERS) first emerged in 2012.
  • Previous studies on MERS transmissibility and severity have shown varied methodologies and results.
  • A systematic review was needed to consolidate MERS characteristics and risk factors.

Purpose of the Study:

  • To systematically review the characteristics of Middle East respiratory syndrome (MERS).
  • To identify and analyze risk factors associated with MERS infection, severity, and mortality.
  • To compare MERS epidemiology between different outbreak regions.

Main Methods:

  • Searched international (PubMed, ScienceDirect, Cochrane) and Korean (DBpia, KISS) databases.
  • Included human studies with >20 participants, focusing on MERS transmissibility, severity, and risk factors.
  • Analyzed 59 relevant epidemiologic studies.

Main Results:

  • Mortality rates were higher in Saudi Arabia (22-69.2%) compared to South Korea (20.4%).
  • MERS R0 values varied significantly by region and time, being generally <1 in Saudi Arabia and higher initially in South Korea.
  • Older age and comorbidities were identified as primary risk factors for MERS infection, severity, and mortality.

Conclusions:

  • MERS transmissibility and severity are influenced by geographic location and patient-specific characteristics.
  • Future MERS risk assessments must incorporate regional and individual factors.
  • Understanding these variations is crucial for effective MERS control and prevention strategies.

Related Concept Videos

Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.8K
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.2K
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.2K
Systematic Sampling Method01:17

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.4K