Meta-analysis study was conducted by using Comprehensive Meta-Analysis (CMA) to assess the government policy effectiveness under the 5-year plan scheme in accordance with the malaria incidence and deaths over the time span of last five year plans.
Epidemiological study for malaria, epidemiology, meta analysis, Modelling malaria prevalenceThis article presents state-wise malaria incidence data to test the patterns of prevalence of malaria in India between 2011 and 2015. Geospatial malarial modeling helps in comparing the intervention efficacy with respect to different states in India and the aspect that contribute to its inefficacy.
Epidemiological study for malaria, epidemiology, Modelling malaria prevalenceIndia accounts for 6% of all malaria cases in the world, 6% of the deaths, and 51% of the global P. vivax cases. Trend-based assessments estimate that the total cases of Malaria in 2017 in India tallies for 1.31 million and deaths at 23990. However, the cases of malaria in 2012 in India were estimated to be 9.7 million, with about 48,660 deaths.
Epidemiological study for malaria, epidemiologyThe 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.
Biostatistics in epidemiological studies, Emerging infectious diseases, epidemiologyEpidemiology is a branch of study that predicts the occurrences and patterns of diseases in different groups of the population. It helps in assessing the reason and factors behind the occurrence of a disease. Epidemiological information helps plan and strategies to prevent and manage epidemic diseases or illness.
Biostatistics in epidemiological studies, epidemiologyHealthcare organizations have an epidemiological purpose towards infectious disease management by the provision of better treatment methods.
Biostatistics in epidemiological studies, Emerging infectious diseases, epidemiologyThis 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.
Epidemiological study for malaria, epidemiology, Modelling malaria prevalenceThe 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.
Epidemiological study for malaria, epidemiology, Malaria distribution and expenditure