The epidemiological purpose of pharmaceutical industry comprises mainly towards the provision of quality drugs for prevention and intervention of emerging infectious disease (EID). Data gets collected in form of mortality rate, incidence rate and prevalence of the infectious agents.
This article presents a predictive assessment on the basis of secondary data available for malaria incidences in the period of 1998-2017. The predictive assessment uses the Autoregressive integrated moving average (ARIMA) model.
The aim of the study is to show that the prevalence of malaria is dependent on the health care expenditures by the Government. Therefore, in this case, the impact of expenditures by Government on malarial incidences has been assessed using inferential statistical analyses.
In this article the trends analysis of the malaria prevalence in India was done and also correlated with the trend of health expenditure made by the government of India, to study the relationships among them. Trend-based statistics help the health care members plan precautionary measures and generate awareness amongst the population prone to malaria (Vaiserman, et. al., 2016).
Epidemiology studies refer to the study of the rate of occurrence of diseases in different groups of people and to study their reason for the occurrence (Centers for Disease Control and Prevention, 2012).
Epidemiology-based health care policies are systematic and objective assessments of the science including meta-analyses, decision analyses, and economic evaluations and involve primarily quantitative evidence (Barata, 2013).
Emerging infectious diseases (EID) is a type of disease occurring from infections of unknown strains of microorganism. They may also reoccur from infectious diseases that may have occurred many years back. These infectious diseases are either new or have a potential to become epidemic in the near future. Some common examples of the EID include; HIV/AIDS, tuberculosis, Influenza, malaria, dengue, cholera, Ebola, and many others to name (Drotman et al., 2018).