Case study
Industrial Overview

Re-emerging real estate sector of India is hungry for investments

Current State of Real Estate Sector in IndiaIn the recent time the recession in the real estate sector has become one of the most interested topic among the researchers. According to market experts the bubble in the real estate sector has burst. The prices of the real estate has decreased rapidly. Similarly the gap between the supply and demand has increased significantly in recent times (KPMG, 2014). Continue »

Pharmaceutical industry and third party logistics in India

Pharmaceutical industry and third party logistics in IndiaOutsourcing is the act of reassigning some of the business activities and decision making abilities to another firm who specializes in performing those respective activities (Chase et al., 2004).┬á Outsourcing is a phenomenon which is catching up really fast across the globe primarily because of the advantages it is bound to offer. Continue »

Recently on Knowledge Tank

Comparative study of merA genes in arabidopsis for phytoremediation

Mercury is a highly potent neurotoxin impacting the function and development of the central nervous system in people and wildlife. Exposure to it in the form of vapours or organic methylmercury leads to neurological and behavioural issues. Moreover, mercury exposure is toxic to the digestive system, organs and the immune system (World Health Organization, 2017). Mercury pollutants in the environment are present in elemental, inorganic and organic forms. Global heavy metal contamination are increasing in soil due to industrialisation. Continue »

Genetic engineering of plants can contribute to bioremediation efforts

In the previous section, microbial remediation was studied.┬áBioremediation is a waste management technique to neutralize pollutants from a contaminated site. This is done with the use of organisms which can be microorganisms, fungi, plants or algae. They either metabolize pollutants to less toxic forms, assimilate or immobilize. Bioremediation works in two ways. First is enhanced growth of suitable organisms at the site. Other way is by introducing specialized microbes at the contaminated site to degrade contaminants. Continue »

Systematic review of forecasting models in disease epidemiology

In the previous article, the role and advantages of using forecasting models in disease epidemiology was discussed. Forecasting models are important tools assisting in public health decision making. Future disease trends, incidents and possible risks within a population can be assessed with these models. As discussed previously, many models are used to analyse time series data in epidemiology. In this article, a systematic review has been presented on several such models used in the past by researchers and institutions. Continue »

Understanding the process of selecting data entry formats in meta-analysis

Findings in meta-analysis are integrated by the means of effect sizes also known as the currency of meta-analysis. They span the group of ‘indices’. An index is a statistical measure which is a compound representation of the several observations in the study. It gives a general dimension to the phenomenon. Therefore, indices are used to evaluate the size or magnitude of the treatment effect (Becker 2000). Continue »

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. Continue »

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. Continue »

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. Continue »

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. Continue »

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