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Background of the Study. Statistical models have been extensively used in modeling and forecasting the different fields of agriculture, economics, social sciences, and medical sciences. The transmission of some diseases is a serious life threat around the globe; therefore, proper assessment and modeling need time. Malaria is one of the major life-threatening diseases in Pakistan, and some death cases due to this disease have been reported during the last decade. Methodology. The data have been collected from the Ministry of Health, Rahim Yar Khan, Pakistan, from January 2011 to March 2022. Data were analyzed by applying time series models for prediction purposes. Diagnostic measures such as RMSE, MAE, and MAPE were used to choose the best forecasting model. Results and Discussion. This study aims to forecast malaria cases by choosing the best forecast model. After comparison, it was concluded that the Holt–Winter multiplicative model outperformed the ARIMA and SARIMA models, with the lowest RMSE, MAPE, and MAE compared to other models. Malaria cases in the district Rahim Yar Khan were forecasted by the Holt–Winter multiplicative model, for the month of April 2022 to January 2023. From the forecasting results, the minimum number of cases was found to be 586.75 in June 2022 and the maximum number of cases was found to be 1281.93 in October 2022 among the next ten months. Based on the results, it is paramount for the GOP (Govt. of Pakistan) to enhance the vaccination policy to erase the impacts of malaria cases to flatten the curve. [ABSTRACT FROM AUTHOR]

Background. It is essential to follow World Health Organization drug prescribing indicators to ensure rational prescribing in every health care setting. Objective. To evaluate the prescriptions in the endocrinology department, according to the World Health Organization (WHO), recommended Ghana guidelines for diabetes management and rational therapy. Methods. Concurrent and retrospective study design was used. The prescriptions of 100 diabetes patients were assessed for the type of medicine, dosage form, number of drugs, diabetes type, and deviation from standard guidelines. Results. In a total of 100 prescriptions, the pattern was reported as injections (31%), antibiotics (18%), and metformin (31.1%). Half of the prescriptions were according to WHO guidelines. The number of drugs per prescription was reported at 5.2. A 70% rational approach was followed in prescribing. 81% of drugs were prescribed from the Essential Drug List (EDL) of the WHO. However, the National Essential Drug List (NEDL) was followed by 27%. The percentage of drugs on generic names was 0.7%. Eighty-four patients showed net improvement in health; 16 patients showed higher glycemic range at the time of discharge. Conclusion. The conclusion of the present study indicates that WHO Ghana guidelines were not followed up to the mark to improve the overall health status of diabetic patients and rational prescribing. [ABSTRACT FROM AUTHOR]