Category: Sociology »

Factors affecting spatial and temporal trends of an infectious disease epidemics

Epidemics of infectious diseases arise due to spread of the disease across individuals. It spreads within a geographical region over a period of time. When they spread at global level, it is referred to as pandemic. An infectious disease originates at a particular point. However, it spreads across communities and geographical regions. The temporal and spatial patterns of spread of different infectious disease are unique. Read more »

Spatial modeling in disease epidemic studies

Epidemiology of infectious diseases often require geographical information. Both spatial and temporal factors of a population can affect disease spread. Spatial factors refer to the geographical or topological factors associated with a disease. Temporal factors mean time-bound progress of a disease in a population. These factors influence the virulence of a disease, patterns of prevalence and also future incidents. Read more »

Common pipeline for statistical analysis in epidemiological studies

Previous articles discussed the need for statistical analysis and modeling of epidemiological studies in public health studies. Analysis in epidemiological studies typically requires descriptive and analytical methods. Descriptive 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. Read more »

Statistical tests in descriptive and analytical epidemiology

In the previous article, the importance of statistical analysis in epidemiological studies was established. Statistical analysis can contribute towards strategic planning of public health strategies. Consequently, this analysis is mainly done through mathematical and statistical techniques. Both offer unique advantages and purposes. Read more »

Time series and forecasting models in disease epidemiology

Time series analysis refers to analysis of observations that are time-dependent. Therefore, observations from an event are dependent upon the time at which it took place. Time intervals can be minutes, hours, days, months or years. Observing the trends of these events over a long period enables identifying hidden relationships. Moreover, future trends can be predicted using this analysis. Read more »

Reasons behind the declining fertility rate of urban India

India constitutes about 17.1% of the total world population (Korotayev, Goldstone, & Zinkina, 2015). According to the 2011 census,  64.8% of the total population is settled in the rural regions of the country (Bongaarts & Sinding, 2011). However this distribution of the population is expected to change due to urbanization and decline in the mortality rate in the recent years. Read more »

Humanitarian workers risk their lives to help others

On 19th August, every year the world celebrates Humanitarian Day and humanism. The Day designated by the United Nations General Assembly and themed around “the world needs more…” is an opportunity to celebrate the spirit that inspires humanitarian work around the globe. Read more »

A brief about the civilisation under the Gupta dynasty

Considered as a Golden Age, Indian civilisation under the Gupta rule witnessed a new epoch in its history of growth and development. After the fall of the Mauryan Empire, India was divided into several independent monarchies and continued to be so for another 500 years, until the rise of Gupta Dynasty. Read more »


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