ABSTRACT
Purpose: A statistical assessment of a disease is often necessary before resources can be allocated to any control programme. No literature on seasonal trends of gonorrhoea is available from India. Objectives: The objectives were (1) to determine, if any, seasonal trends were present in India (2) to describe factors contributing to seasonality of gonorrhoea (3) to formulate approaches for gonorrhoea control at the national level. Materials and Methods: Seasonal indices for gonorrhoea were calculated quarterly in terms of a seasonal index between 2005 and 2010. Ratio-to-moving average method was used to determine the seasonal variation. The original data values in the time-series were expressed as percentages of moving averages. Results were also analyzed by second statistical method i.e. seasonal subseries plot. Results: The seasonally adjusted average for culture-positive gonorrhoea cases was highest in the second quarter (128.61%) followed by third quarter (108.48%) while a trough was observed in the first (96.05%) and last quarter (64.85%). The second quarter peak was representative of summer vacations in schools and colleges. Moreover, April is the harvesting month followed by celebrations and social gatherings. Both these factors are associated with increased sexual activity and partner change. A trough in first and last quarter was indicative of festival season and winter leading to less patients reporting to the hospital. Conclusion: The findings highlight the immediate need to strengthen sexual health education among young people in schools and colleges and education on risk-reduction practices especially at crucial points in the calendar year for effective gonorrhoea control.
ABSTRACT
Objective To discuss the feasibility of moving average method (X‐B method) in the quality control of coagulation function measurement .Methods Fluctuation average value tendency of prothrombin time (PT ) ,activated partial thromboplastin time (APTT) ,thrombin time (TT) and fibrinogen (FIB) of clinical specimen ,detected by using Stago Compact analyzes ,were ana‐lyzed ,and compared cryochemic plasma method .Results Average value of PT ,APTT ,TT and FIB changed in small ranges .Tend‐ency of quality control chart of X‐B method and cryochemic plasma method were basically consistent .Conclusion X‐B method ,u‐sing plasma of patients ,could be used for the quality control of PT ,APTT ,TT and FIB examination and for the monitoring of the stability of analyzers .
ABSTRACT
OBJECTIVE:To provide a method for a scientific and rational formation of hospital drug purchase plan.METHODS:Based on the major factors influencing the drug purchase plans,a moving-average method(mathematical principle)was used to establish computational formula for hospital drug purchase plan model,which was then put into practice.RESULTS:The predicted amount calculated using the computation model could be used to track the actual consumption quantity rapidly;this model could auto-adjust the inventory and dynamically forecast the drug purchase amount.CONCLUSION:The computation model contributes to the scientific and reasonable formation of hospital drug purchase plan thus meeting the needs of majority clinical drugs.