As people’s awareness in health increases, studies of public health gain their popularity. Public health focuses to improve people’s life qualities, prevent and treat diseases by collecting data from cases, and monitoring health indicators. During the process of data collection and its' analysis, mathematics is heavily involved. Bayes’ Theorem, which links current probability to previous probabilities, is very useful in the prediction of future events. In the studies of public health, Bayes’ Theorem can be applied to calculating the accuracy of drug testing, calculating and predicting the probability of inheritance diseases in medical testing and genetic counseling , as well as studies on climate change and its effects on public health.
This website introduces a few topics public health and how Bayes’ Theorem is applied in these fields of public health studies, which include Bayes’ Theorem and drug testing, Bayes’ Theorem and medical testing, Bayes’ Theorem and genetic counseling as well as Bayes’ Theorem and the study of climate change. By making this website, we hope to provide more insight in how Bayes’ Theorem can be applied in fields other than math, and hope that our studies can help people gain more understanding in the mathematics that underlies in public health issues, and improve our abilities in making health decisions.
This website introduces a few topics public health and how Bayes’ Theorem is applied in these fields of public health studies, which include Bayes’ Theorem and drug testing, Bayes’ Theorem and medical testing, Bayes’ Theorem and genetic counseling as well as Bayes’ Theorem and the study of climate change. By making this website, we hope to provide more insight in how Bayes’ Theorem can be applied in fields other than math, and hope that our studies can help people gain more understanding in the mathematics that underlies in public health issues, and improve our abilities in making health decisions.
Lola Argiro, Dayva Frank, Son Huynh, Wilhelmina (Nanrui) Tan
