• Title/Summary/Keyword: Capture

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Estimating the Completeness of Gastric Cancer Registration in Ardabil/Iran by a Capture-Recapture Method using Population-Based Cancer Registry Data

  • Khodadost, Mahmoud;Yavari, Parvin;Babaei, Masoud;Mosavi-Jarrahi, Alireza;Sarvi, Fatemeh;Mansori, Kamyar;Khodadost, Behnam
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.5
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    • pp.1981-1986
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    • 2015
  • Background: Knowledge of cancer incidences is essential for cancer prevention and control programs. Capture-recapture methods have been recommended for reducing bias and increasing the accuracy of cancer incidence estimations. This study aimed to estimate the completeness of gastric cancer registration by the capture-recapture method based on Ardabil population-based cancer registry data. Materials and Methods: All new cases of gastric cancer reported by three sources, pathology reports, death certificates and medical records that reported to Ardabil population-based cancer registry in 2006 and 2008 were enrolled in the study. The duplicate cases based on the similarity of first name, surname and fathers names were identified between sources. The estimated number of gastric cancers was calculated by the log-linear method using Stata 12 software. Results: A total of 857 new cases of gastric cancer were reported from three sources. After removing duplicates, the reported incidence rates for the years 2006 and 2008 were 35.3 and 32.5 per 100,000 population, respectively. The estimated completeness calculated by log-linear method for these years was 36.7 and 36.0, respectively. Conclusions: These results indicate that none of the sources of pathology reports, death certificates and medical records individually or collectively fully cover the incident cases of gastric cancer. We can obtain more accurate estimates of incidence rates using the capture-recapture method.

Evaluation of the Completeness of Case Reporting during the 1998 Cheju-do Mumps Epidemic, Using Capture-recapture Methods (Capture-recapture 방법을 이용한 1998년 제주도 볼거리 유행시 보고 자료의 완전성 평가)

  • Kim, Myoung-Hee;Park, Jin-Kyoung;Ki, Mo-Ran;Hur, Young-Joo;Kim, Joung-Soon;Choi, Bo-Youl
    • Journal of Preventive Medicine and Public Health
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    • v.33 no.3
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    • pp.313-322
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    • 2000
  • Objectives : To estimate mumps incidence during the study period and to evaluate the completeness of case reporting. Methods : Capture-recapture methods, originally developed for counting wildlife animals, were used. The data sources were 1) the National Notifiable Communicable Disease Reporting System (NNCDRS; 848 cases), 2) the School Health Reporting System, temporarily administered by the Division of Education (SHRS; 1,026 cases), and 3) a survey of students (785 cases). We estimated the number of unobserved mumps cases by matching the three data sources and fitting loglinear models to the data. We then determined the estimated total number of mumps cases by adding this to the number of observed cases. Completeness was defined as the proportion of observed cases from each source to the total of estimated cases. Results : The total number of observed cases was 1,844 and the total number of estimated cases was 1,935 (95%, CI: $1,878\sim2,070$). The overall completeness was 43.8% of the NNCDRS, 53.0% of the SHRS, and 40.6% of the survey. However, completeness varied by area and age. Conclusion : Although the completeness of NNCDRS data appeared higher than in the past, it is difficult to generalize this result In Korea, it is possible to estimate the size of health hazards relatively cheaply and quickly, by applying capture-recapture methods to various data using a multiple data collection system.

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Current status of CCU technology development (CCU 기술개발 국내외 기술동향)

  • Sim, Jae-Gu
    • KEPCO Journal on Electric Power and Energy
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    • v.2 no.4
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    • pp.517-523
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    • 2016
  • South Korea is the 8th biggest greenhouse gas emitter in the world due to its phenomenal economic growth based on manufacturing, and it is ranked first among OECD members for the rate of increase in emissions. Thus, the Korea government has voluntarily presented a reduction target and demonstrated global leadership. For the reduction of nation's GHG emission, importance of CCU(Carbon Capture and Utilization) along with CCS(Carbon Capture and Storage) technology development is increased. CCU technology is $CO_2$ utilization technology for the usage of $CO_2$ from flue gas and it can create a new economic value while reducing $CO_2$ emission. Therefore, with continued technology development, the number of application of CCU technology is increasing globally.

Determination of 3-Monochloro-1, 2-propanediol in Acid Hydrolyzed Soysauce(Ganjang) by Gas-Chromatography with Electron Capture Detector (Gas Chromatography-Electron Capture Detector를 이용한 산분해간장중의 3-Monochloro-1, 2-propanediol 분석법에 관한 연구)

  • 최종동;문귀임;오현숙;김동술
    • Journal of Food Hygiene and Safety
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    • v.16 no.1
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    • pp.61-65
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    • 2001
  • To investigate the optimum condition of 3-monochloro-1, 2-propanediol(MCPD) analysis, gas chromatography with electron capture detector was used. Determination of MCPD derivatized with phenylboric acid was more effective than that of underivatized MCPD. In derivatization of MCPD with phenyl boric acid, there were no significantly different between boiling for 2min at 9$0^{\circ}C$ and vortexing for 5min at room temperature. Extrelut column was suitable for extraction of MCPD diluted in 20% NaCl solution and recovery rates were higher than direct extraction of MCPD with ethyl acetate. But, the method of direct extraction of MCPD with ethyl acetate was useful for rapid ants qualitative analysis. The sample extracted in soysauce(ganjang) was derivatized with phenylboric acid and analyzed by gas chromatography-mass selective detector. That was confirmed as MCPD-phenylboronate.

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Functional Test Automation for Android GUI Widgets Using XML (XML을 이용한 안드로이드 GUI 위젯의 기능 테스트 자동화)

  • Ma, Yingzhe;Choi, Eun-Man
    • The KIPS Transactions:PartD
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    • v.19D no.2
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    • pp.203-210
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    • 2012
  • Capture-and-replay technique is a common automatic method for GUI testing. Testing applications on Android platform cannot use directly capture-and-replay technique due to the testing framework which is already set up and technical supported by Google and lack of automatic linking GUI elements to actions handling widget events. Without capture-and-replay testing tools testers must design and implement testing scenarios according to the specification, and make linking every GUI elements to event handling parts all by hand. This paper proposes a more improved and optimized approach than common capture-and-replay technique for automatic testing Android GUI widgets. XML is applied to extract GUI elements from applications based on tracing the actions to handle widget events. After tracing click events using monitoring in capture phase test cases will be created by communicating status of activated widget in replay phase with API events.

Study on Enhancements to Ultrasonic Data Imaging Using Full Matrix Capture Technique (Full Matrix Capture 기법을 통한 초음파신호 영상화 향상 연구)

  • Lee, Tae-Hun;Yoon, Byung-Sik;Lee, Jeong-Seok
    • Journal of the Korean Society for Nondestructive Testing
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    • v.35 no.5
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    • pp.299-306
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    • 2015
  • A conventional phased array system can control an ultrasonic beam electronically by adjusting the excitation time delay of individual elements in a multi-element probe and produce an ultrasonic image. In Contrast, full matrix capture (FMC) is a data acquisition process that allows receiving ultrasonic signals from one single shot of the phased array transducer element through all the other elements and captures the complete dataset from every possible transmit-receive combination. This FMC data can be used to create the ultrasonic image in post processing. It is possible to produce not only images equivalent to conventional phased array image but also total focusing method (TFM) images with improved resolution and sharpness, which is virtually focused at any point in a region of interest. In this paper, the system that can perform FMC by using a conventional phased array instrument is developed, and a study was conducted on the imaging algorithms to reconstruct sector B-scan and TFM images from FMC dataset.

Estimation of Completeness of Cancer Registration for Patients Referred to Shiraz Selected Centers through a Two Source Capture Re-capture Method, 2009 Data

  • Sharifian, Roxana;SedaghatNia, Mohammad Hossein;Nematolahi, Mohtram;Zare, Najaf;Barzegari, Saeed
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.13
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    • pp.5549-5556
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    • 2015
  • Background: Cancer has important social consequences with cancer registration as the basis of moving towards prevention. The present study aimed to estimate the completeness of registration of the ten most common cancers in patients referred to selected hospitals in Shiraz, Iran by using capture-recapture method. Materials and Methods: This cross-sectional analytical study was performed in 2014 based on the data of 2009, on a total of 4,388 registered cancer patients. After cleaning data from two sources, using capture-recapture common findings were identified. Then, the percentage of the completeness of cancer registration was estimated using Chapman and Chao methods. Finally, the effects of demographic and treatment variables on the completeness of cancer registration were investigated. Results: The results showed that the percentages of completeness of cancer registration in the selected hospitals of Shiraz were 58.6% and 58.4%, and influenced by different variables. The age group between 40-49 years old was the highest represented and for the age group under 20 years old was the lowest for cancer registration. Breast cancer had the highest registration level and after that, thyroid and lung cancers, while colorectal cancer had the lowest registration level. Conclusions: According to the results, the number of cancers registered was very few and it seems that factors like inadequate knowledge of some doctors, imprecise diagnosis about the types of cancer, incorrectly filled out medical documents, and lack of sufficient accuracy in recording data on the computer cause errors and defects in cancer registration. This suggests a necessity to educate and teach doctors and other medical workers about the methods of documenting information related to cancer and also conduct additional measures to improve the cancer registration system.

Estimation of Cancer Cases Using Capture-Recapture Method in Northwest Iran

  • Ghojazadeh, Morteza;Mohammadi, Marziye;Azami-Aghdash, Saber;Sadighi, Alireza;Piri, Reza;Naghavi-Behzad, Mohammad
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.5
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    • pp.3237-3241
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    • 2013
  • Background: Under-ascertainment and over-ascertainment are common phenomena in surveillance and registry systems of health-related events. Capture-recapture is one of the methods which is applied to determine the sensitivity of surveillance or registry systems to recognize cancer cases. This study aimed to estimate the number of cancers using data available both in the Cancer Registry Center of Northwestern Iran and in the Population-based Cancer Registry Center of Iran. Material and Methods: The studied population consisted of all cancerous cases in the northwest of Iran from 2008 to 2010. All data were extracted from two resources and entered into Microsoft Excel software. After removing common and repeat cases the data were statistically analyzed using a capture-recapture studies' specific software "CARE 1.4". Estimations were calculated by Chapman and Petersen methods with the approximate confidence interval of 95%. Results: From 2008 to 2010, the number of all cancer cases was estimated to be 21,652 (CI 95%: 19,863-22,101). Sensitivity rate of all cancer cases was 83.9% and that of Population-based Cancer Registry Center of Iran was 52%. It was 93.1% considering both resources. Conclusion: Using two resources and the capture-recapture method rather than a single resource may be a more reliable method to estimate the number of cancer cases.

Estimation of the Gastric Cancer Incidence in Tehran by Two-Source Capture-recapture

  • Aghaei, Abbas;Ahmadi-Jouibari, Toraj;Baiki, Omid;Mosavi-Jarrahi, Alireza
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.2
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    • pp.673-677
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    • 2013
  • Introduction: Capture-recapture methods have been suggested for reducing costs of disease registration as well as reducing bias in incidence estimations. This study aimed to estimate the gastric cancer incidence in the Tehran metropolis population during 2002-2006. Materials and Methods: We investigated new cases of gastric cancer reported by three sources; death certificates, pathology reports, and medical records to Tehran population-based cancer registry during 2002-2006. $G^2$ statistics and the two-source capture-recapture method were used to select the best-fitted log-linear model and to estimate incidence, respectively. EXCEL software version 2007 and SPSS software version 16 were used for this research. Results: The number of reported cases was 4,463, with an average age of 68.5 (${\pm}12.9$) years. We found the model that combined two sources of data including pathology reports and medical records and furthermore complemented by death certificates as the best model. The reported and the estimated incidences were 11.0 and 27.1 per 100,000 respectively. Conclusions: The incidence estimated by two-source capture-recapture method is about three times higher than the incidence reported by the sources under investigation. It is recommended to move towards the implementation of population-based cancer registration using various sources of data collection to achieve more accurate data.

Completeness Estimation of the Population-based Cancer Registration with Capture-Recapture Methods (Capture-recapture 방법을 이용한 광주광역시 지역암등록 자료의 완전성 추정)

  • Kweon, Sun-Seog;Kim, Sang-Yong;Park, Kyeong-Soo;Sohn, Seok-Joon;Choi, Jin-Su;Im, Jeong-Soo
    • Journal of Preventive Medicine and Public Health
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    • v.33 no.1
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    • pp.31-35
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    • 2000
  • Objectives : This study aimed to estimate the completeness of cancer registration with Capture-recapture method. Methods : The study was conducted in the population based cancer registry of Kwangju, Korea, for which there are three main sources of notification: reports by Korean Central Cancer Registry, reports by pathology data, and the others reports by radiology data, death certificates, etc. The defined cases in three sources were matched by 13 digits Resident Register Number. To derive an estimates, log-linear models were applicated. Results : Overall completeness was estimated to be around 93%. There was some variation with age(consistently high levels below age group 60-74 years, a minimum of 88.6% above 75 years). Among the most common cancer sites, estimates of completeness were highest for thyroid cancer(97.1%), while lower estimates of completeness were derived for stomach cancer(92.3%), liver cancer(92.6%). Conclusions : Careful application of Capture-recapture method may provide an alternative to traditional approaches for estimating the completeness of cancer registration in Kwangju city.

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