Healthcare organizations have an epidemiological purpose towards infectious disease management by the provision of better treatment methods.
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-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).
Plans and public healthcare policies formed globally are based on various aspects and impeding factors. Health policy comprises of goals, rules, and actions. These have an impact on the health challenges and priorities that transcend individual countries and regions (Brugha, Bruen, & Tangcharoensathien, 2014).