RESUMEN
At the end of 2019, a novel infectious agent known as severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) originated from Hubei, China; from where it spread to other regions of the globe. In March 2020, World health organization (WHO) expressed fears that Pakistan might emerge as the next epicenter of corona virus infectious disease 2019 (COVID-19). Since proper preventive and curative measures are currently unavailable, only remedy is self-isolation which necessitates ample awareness among people. In this regard, Pakistan faces a unique challenge as it is a populous country with a record of contagious outbreaks in the past. Therefore, it is crucial to evaluate the general understanding regarding the cause, spread, control and psychological consequences of this pandemic in Pakistani population, especially in the youth that represents over 60% of the population. In this study, we have collected and analyzed responses related to awareness and attitude of students through a self-designed questionnaire. In total 1822 responses were collected and subjected to descriptive and frequency analysis. Outcomes of the survey suggest that majority of the respondents are well aware of the disease outbreak, complications and its mode of transmission. It is also evident from the obtained responses that youth of the country is willing to opt the precautionary measures and avoid mass gatherings.
RESUMEN
Sample size determination is an active area of research in statistics. Generally, Bayesian methods provide relatively smaller sample sizes than the classical techniques, particularly average length criterion is more conventional and gives relatively small sample sizes under the given constraints. The objective of this study is to utilize major Bayesian sample size determination techniques for the coefficient of variation of normal distribution and assess their performance by comparing the results with the freqentist approach. To this end, we noticed that the average coverage criterion is the one that provides relatively smaller sample sizes than the worst outcome criterion. By comparing with the existing frequentist studies, we show that a smaller sample size is required in Bayesian methods to achieve the same efficiency.
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Control charts are a statistical approach for monitoring cancer data that can assist discover patterns, trends, and unusual deviations in cancer-related data across time. To detect deviations from predicted patterns, control charts are extensively used in quality control and process management. Control charts may be used to track numerous parameters in cancer data, such as incidence rates, death rates, survival time, recovery time, and other related indicators. In this study, CDEC chart is proposed to monitor the cancer patients recovery time censored data. This paper presents a composite dual exponentially weighted moving average Cumulative sum (CDEC) control chart for monitoring cancer patients recovery time censored data. This approach seeks to detect changes in the mean recovery time of cancer patients which usually follows Weibull lifetimes. The results are calculated using type I censored data under known and estimated parameter conditions. We combine the conditional expected value (CEV) and conditional median (CM) approaches, which are extensively used in statistical analysis to determine the central tendency of a dataset, to create an efficient control chart. The suggested chart's performance is assessed using the average run length (ARL), which evaluates how efficiently the chart can detect a change in the process mean. The CDEC chart is compared to existing control charts. A simulation study and a real-world data set related to cancer patients recovery time censored data is used for results illustration. The proposed CDEC control chart is developed for the data monitoring when complete information about the patients are not available. So, instead of doping the patients information we can used the proposed chart to monitor the patients information even if it is censored. The authors conclude that the suggested CDEC chart is more efficient than competitor control charts for monitoring cancer patients recovery time censored data. Overall, this study introduces an efficient new approach for cancer patients recovery time censored data, which might have significant effect on quality control and process improvement across a wide range of healthcare and medical studies.
Asunto(s)
Ditiocarba/análogos & derivados , Instituciones de Salud , Neoplasias , Humanos , Simulación por Computador , Tiempo , Control de Calidad , Neoplasias/diagnósticoRESUMEN
End of the year 2019 marks an unprecedented outbreak of a pandemic named COVID-19 caused by the SARS-CoV-2. It was first discovered in China and later spread to the whole world, currently inflicting almost 200 countries. After China, few other countries have emerged as potential epicenters of this disease including the US, Italy, Spain and Pakistan, as indicated by the World Health Organization (WHO). Since proper preventive and curative measures in the form of a vaccine or medication are currently unavailable throughout the world, the only remedy devised to stop the spread of this virus is self-isolation. Such a measure necessitates ample awareness and understanding among people to avoid actions that lead to the spread of this virus. Pakistan is the fifth-most populous country in the world (212.2 million) and has a record of contagious outbreaks in the past. Therefore, it is key to evaluate the general understanding regarding the cause, spread and control of this disease in Pakistani population and acquire data to anticipate the possible spread and persistence of this disease to design relevant preventive measures. We have attempted to collect such data from professionals who are susceptible to acquiring the infection due to an unavoidable exposure. Keeping in view the current lock down, we have relied on an internet based collection of data by filling a self-designed questionnaire that is responded to by 1132. Descriptive and Frequency Analysis were performed on the responses received using MS Excel and SPSS software. A total of 1132 individuals responded to the questionnaire among which include academic (45.8%), non-academic (20.8%), healthcare (7.8%), security (5.9%) and other (19.7%) professionals. The questionnaire addressed the level of basic information regarding the cause, spread, cure and prevention of this disease among professionals, in an attempt to provide directions for awareness campaigns at different levels in Pakistan and provide a model for similar outbreaks in the future.To our expectations, almost after a month of the coronavirus outbreak in Pakistan, above 50% to up to 90% of the recorded responses against every question showed ample understanding regarding the cause, spread and control of the disease which is an indicator of effective public awareness campaigns throughout the country largely based on media drive.