Epidemiology of infectious diseases often require geographical information. Both spatial and temporal factors of a population can affect disease spread.
Biostatistics in epidemiological studies, epidemiology, Modelling in epidemiologyDescriptive analysis of epidemiological data includes hypotheses development. This is based on variability of disease outcome rates with demographic variables. On the other hand, analytical epidemiology determines cause or mode of disease epidemic outbreak.
Biostatistics in epidemiological studies, epidemiology, Statistics in epidemiologyDescriptive epidemiology refers to analyzing the existing trends of a disease epidemic. The study is conducted with respect to time, place and persons (Aschengrau and Seage, 2013).
Biostatistics in epidemiological studies, epidemiology, Statistics in epidemiologyForecasting models help detect future epidemics using related factors like environment, vector density or socioeconomic factors. In this article, the role of forecasting models in epidemiology is explained.
Biostatistics in epidemiological studies, epidemiology, Modelling in epidemiologyEpidemiological studies can be defined as mathematical representations of epidemiology of disease transmissions and its associated processes (Dubé et al., 2007).
Biostatistics in epidemiological studies, epidemiology, Statistics in epidemiologyIn order to understand the process of using National Center for Biotechnology Information (NCBI) for extraction of gene information for bioinformatics studies, the author uses case example of Transforming Growth Factor beta 1 (TGFβ1) gene which encodes for the TGFB1 protein found in humans.
Biostatistics in epidemiological studies, epidemiology