In: Biology
The web model of causation began in 1960, when it was developed to represent a variety of approaches that identify the nature of a health problem or disease, which provides descriptive reasons for the risks it poses. This model has been used in public health and nurses to explain the many illnesses and disabilities and to identify potential preventive interventions for public health problems.
Medicineamigo defines the web of causation as a medical term
used to represent a complex group of topics and relationships that
can influence the progression and spread of a disease.
The web model of causation shows that diseases are not randomly
distributed to any group but the classification of the way they are
distributed requires one to learn several factors.This means that
there are many and complex causes of a disease, symptom or health
condition, forming a web of causation jointly.
Clark argues that the causation web model represents elements of a pathway that identifies the nature of a health problem and provides or minimizes explicitly defined risk factors. Based on this model, one can increase the likelihood of controlling a disease or health condition by breaking down multiple links within the web of potential features of the model. The model offers a solution to understanding the health problems with various aspects such as diabetes.
Historical Development of the Web Causation Model
MacMahon, Pugh, and Ipsen came up with a web model of causation;
where used it describes the occurrence of icterus in a group of
patients who received syphilis treatment.
This was followed by the sophisticated web called Stallones that
was started in 1966. The purpose of his web design paper was to
describe the interactions between the 3 main types of heart
disease. After further research, Friedman created a web site that
was widely described in 1980. His model was based on a very old
heart attack. This development was the start of mapping what is
known today about the etiology of cardiovascular diseases. The web
model of causation has continued to gain popularity since its
discovery in 1960 and proved useful for identifying potential
interventions for public health prevention interventions.