• Journal of agricultural medicine and community health
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• v.24 no.2
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• pp.225-232
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• 1999

A survey of an endemic locality at Songjung Ri, Ogok Myun, Goksung County, South Cholla Province for the prevalence of Clonorchis sinensis and Metagonimus yokogawai was primarily done on 53 residence before medication using formalin-ether concentration method of stool examination. After praziquantel medication of all the clonorchiasis patients, 64 humans consisting 82.1% of total inhibitants and including 84.9% of primarily surveyed residents were secondly surveyed after 2-year post-treatment to evaluate the prevalence and reinfection. The prevalence of clonorchiasis was decreased from 35.8% before medication to 10.9% after medication(P<0.01), indicating this disease was not satisfactorily controlled although the rate was significantly lowered. The prevalence of metagonimiasis was dropped from 17.0% to 6.3% on post-treatment. In clonorchiasis cases, sex ratio showed no difference in both pre- and post-treatment, and mean age was the sixties after medication from the forties and fifties before medication, suggesting more aged people of both sexes were infected with this fluke. The reinfection of clonorchiasis and metagonimiasis following 2-year post-treatment was 15.8% and 25.0%, respectively. The proportion of reinfection among the egg positive cases was 50.0% in clonorchiasis and 100% in metagonimiasis. These findings mean that a high fraction of clonorchiasis and metagonimiasis was reinfected with these trematodes. In conclusion, to eradicate the C. sinensis and M. yokogawai in an endemic area, it should be preceded to control the reinfection of these parasites.

• Environmental and Resource Economics Review
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• v.25 no.2
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• pp.199-228
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• 2016

This study investigates the effects of economic factors and forest environments on rural residential area development in seven north central states of the U.S. by focusing on the relative importance of not only economic factors but also forest environments by forest type as core drivers of residential development. An empirical model of locations and magnitudes of population changes since 1950 in the north central region is first constructed, and then a panel model with fixed effects for counties is used to explain population growth by age group over time at the county level. Then a set of three equations is estimated for three major age groups, and a cross-sectional model is estimated for the last time period that regresses county-level environmental amenity variables on fixed effects coefficients for counties. Finally, an equation explaining changes in rural housing density is estimated. The results imply that immigrant age is a key factor influencing the choice of the place of residence and that the effects of environmental amenity factors on population growth and subsequent housing development in a county vary according to the age group.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.12
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• pp.7117-7120
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• 2013

Background: This study hypothesized living in a poor neighborhood decreased the cause specific survival in individuals suffering from carcinoid carcinomas. Surveillance, Epidemiology and End Results (SEER) carcinoid carcinoma data were used to identify potential socioeconomic disparities in outcome. Materials and Methods: This study analyzed socioeconomic, staging and treatment factors available in the SEER database for carcinoid carcinomas. The Kaplan-Meier method was used to analyze time to events and the Kolmogorov-Smirnov test to compare survival curves. The Cox proportional hazard method was employed for multivariate analysis. Areas under the receiver operating characteristic curves (ROCs) were computed to screen the predictors for further analysis. Results: There were 38,546 patients diagnosed from 1973 to 2009 included in this study. The mean follow up time (S.D.) was 68.1 (70.7) months. SEER stage was the most predictive factor of outcome (ROC area of 0.79). 16.4% of patients were un-staged. Race/ethnicity, rural urban residence and county level family income were significant predictors of cause specific survival on multivariate analysis, these accounting for about 5% of the difference in actuarial cause specific survival at 20 years of follow up. Conclusions: This study found poorer cause specific survival of carcinoid carcinomas of individuals living in poor and rural neighborhoods.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.9
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• pp.5043-5047
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• 2013

Background: This is a part of a larger effort to characterize the effects on socio-economic factors (SEFs) on cancer outcome. Surveillance, Epidemiology and End Result (SEER) bone and joint sarcoma (BJS) data were used to identify potential disparities in cause specific survival (CSS). Materials and Methods: This study analyzed SEFs in conjunction with biologic and treatment factors. Absolute BJS specific risks were calculated and the areas under the receiver operating characteristic (ROC) curve were computed for predictors. Actuarial survival analysis was performed with Kaplan-Meier method. Kolmogorov-Smirnov's 2-sample test was used to for comparing two survival curves. Cox proportional hazard model was used for multivariate analysis. Results: There were 13501 patients diagnosed BJS from 1973 to 2009. The mean follow up time (SD) was 75.6 (90.1) months. Staging was the highest predictive factor of outcome (ROC area of 0.68). SEER stage, histology, primary site and sex were highly significant pre-treatment predictors of CSS. Under multivariate analysis, patients living in low income neighborhoods and rural areas had a 2% and 5% disadvantage in cause specific survival respectively. Conclusions: This study has found 2-5% decrement of CSS of BJS due to SEFs. These data may be used to generate testable hypothesis for future clinical trials to eliminate BJS outcome disparities.

• Journal of the Korean association of regional geographers
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• v.2 no.1
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• pp.133-150
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• 1996

This study is to clarify the market cycle of travelling merchants and the spatial behavior of consumer's commodity purchasing. its reasons and purchasing region of each commodity in Chongsan of Chongsan Myun(village) periodic markets, that is one of the lowest central places in Okchon county. The data used are the results of interviews with 58 travelling merchants on June 22 and July 17, 1994, and questionaire survey taken to parents of students of Chongsan middle school of Chongsan Myun in Okchon county. Study area is typical agricultural regions taking the role of central places to provide rural service and is comparatively important periodic markets. Some of findings are summarized as follows: (1) Until 1980's. appearance of closed periodic markets is caused by the population decrease in rural region, income increase, and rising of living level according to the Five Years Planning of Economic Development, appearance of chain stores of agricultural co-coperative and of supermarkets,. changes in distribution mechanisim by increasing consignment volume of agricultural products through agricultural co-coperative, and the development of transportation in Okchon county. These, too, became the reasons for the decline of the Chongsan periodic markets in Okchon county. (2) Most of the travelling merchants visiting the Chongsan periodic markets are in their 50's of age, and they sell the miscellaneous commodities and agricultural products. And about one-fourths of travelling merchants reside in regions with periodic markets and in Okchon of higher order central places. (3) Travelling routes visting periodic markets can be simplified to five types. Major types of travelling routes are Chongsan periodic market$\rightarrow$Wonnam$\rightarrow$Boun, and Chongsan periodic market$\rightarrow$Yungdong$\rightarrow$Yongsan. The patterns of travelling merchants visiting periodic markets are classified into the type of everyday visiting of periodic markets over three days of five days from merchant's residence to market, and the type of merchants or consumers visiting one day's of five days. On days that travelling merchants don't visit periodic markets they purchase the commodities in Seoul, Taejon and Chongju. (4) Consumers who use periodic markets are from thirties to fifties years of age and most of them are employed in agriculture. Consumers visit periodic markets on foot or by bus, and visit two or three times in a month, and mainly purchase the commodities for one or two hours from about ten o'clock in the morning. (5) Consumers purchase the necessaries of life in periodic markets, and other commodities are purchased in Taejon city, Youngdong, and Boun Eup(town). But consumers purchase the goods(convenience goods, shopping goods, and specialied goods) largerly in Chongsan, because additional expense and disadvantage after service with poor transportation service for purchased goods in others regions. Therefore, the hierarchies of central places by the consumer's purchasing behaviour can not be seem in dewellers in Chongsan and Chongseong Myun.

• Journal of environmental and Sanitary engineering
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• v.24 no.4
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• pp.1-26
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• 2009

We conclude the following with air pollution data measured from city measurement net administered and managed in Gwangju for the last 7 years from January in 2001 to December in 2007. In addition, some major statistics governed by Gwangju city and data administered by Gwangju as national official statistics obtained by estimating the amount of national air pollutant emission from National Institute of Environmental Research were used. The results are as follows ; 1. The distribution by main managements of air emission factory is the following ; Gwangju City Hall(67.8%) > Gwangsan District Office(13.6%) > Buk District Office(9.8%) > Seo District Office(5.5%) > Nam District Office(3.0%) > Dong District Office(0.3%) and the distribution by districts of air emission factory ; Buk District(32.8%) > Gwangsan District(22.4%) > Seo District(21.8%) > Nam District(14.9%) > Dong District(8.1%). That by types(Year 2004~2007 average) is also following ; Type 5(45.2%) > Type 4(40.7%) > Type 3(8.6%) > Type 2(3.2%) > Type 1(2.2%) and the most of them are small size of factory, Type 4 and 5. 2. The distribution by districts of the number of car registrations is the following ; Buk District(32.8%) > Gwangsan District(22.4%) > Seo District(21.8%) > Nam District(14.9%) > Dong District(8.1%) and the distribution by use of car fuel in 2001 ; Gasoline(56.3%) > Diesel(30.3%) > LPG(13.4%) > etc.(0.2%). In 2007, there was no ranking change ; Gasoline(47.8%) > Diesel(35.6%) > LPG(16.2%) >etc.(0.4%). The number of gasoline cars increased slightly, but that of diesel and LPG cars increased remarkably. 3. The distribution by items of the amount of air pollutant emission in Gwangju is the following; CO(36.7%) > NOx(32.7%) > VOC(26.7%) > SOx(2.3%) > PM-10(1.5%). The amount of CO and NOx, which are generally generated from cars, is very large percentage among them. 4. The distribution by mean of air pollutant emission(SOx, NOx, CO, VOC, PM-10) of each county for 5 years(2001~2005) is the following ; Buk District(31.0%) > Gwangsan District(28.2%) > Seo District(20.4%) > Nam District(12.5%) > Dong District(7.9%). The amount of air pollutant emission in Buk District, which has the most population, car registrations, and air pollutant emission businesses, was the highest. On the other hand, that of air pollutant emission in Dong District, which has the least population, car registrations, and air pollutant emission businesses, was the least. 5. The average rates of SOx for 5 years(2001~2005) in Gwangju is the following ; Non industrial combustion(59.5%) > Combustion in manufacturing industry(20.4%) > Road transportation(11.4%) > Non-road transportation(3.8%) > Waste disposal(3.7%) > Production process(1.1%). And the distribution of average amount of SOx emission of each county is shown as Gwangsan District(33.3%) > Buk District(28.0%) > Seo District(19.3%) > Nam District(10.2%) > Dong District(9.1%). 6. The distribution of the amount of NOx emission in Gwangju is shown as Road transportation(59.1%) > Non-road transportation(18.9%) > Non industrial combustion(13.3%) > Combustion in manufacturing industry(6.9%) > Waste disposal(1.6%) > Production process(0.1%). And the distribution of the amount of NOx emission from each county is the following ; Buk District(30.7%) > Gwangsan District(28.8%) > Seo District(20.5%) > Nam District(12.2%) > Dong District(7.8%). 7. The distribution of the amount of carbon monoxide emission in Gwangju is shown as Road transportation(82.0%) > Non industrial combustion(10.6%) > Non-road transportation(5.4%) > Combustion in manufacturing industry(1.7%) > Waste disposal(0.3%). And the distribution of the amount of carbon monoxide emission from each county is the following ; Buk District(33.0%) > Seo District(22.3%) > Gwangsan District(21.3%) > Nam District(14.3%) > Dong District(9.1%). 8. The distribution of the amount of Volatile Organic Compound emission in Gwangju is shown as Solvent utilization(69.5%) > Road transportation(19.8%) > Energy storage & transport(4.4%) > Non-road transportation(2.8%) > Waste disposal(2.4%) > Non industrial combustion(0.5%) > Production process(0.4%) > Combustion in manufacturing industry(0.3%). And the distribution of the amount of Volatile Organic Compound emission from each county is the following ; Gwangsan District(36.8%) > Buk District(28.7%) > Seo District(17.8%) > Nam District(10.4%) > Dong District(6.3%). 9. The distribution of the amount of minute dust emission in Gwangju is shown as Road transportation(76.7%) > Non-road transportation(16.3%) > Non industrial combustion(6.1%) > Combustion in manufacturing industry(0.7%) > Waste disposal(0.2%) > Production process(0.1%). And the distribution of the amount of minute dust emission from each county is the following ; Buk District(32.8%) > Gwangsan District(26.0%) > Seo District(19.5%) > Nam District(13.2%) > Dong District(8.5%). 10. According to the major source of emission of each items, that of oxides of sulfur is Non industrial combustion, heating of residence, business and agriculture and stockbreeding. And that of NOx, carbon monoxide, minute dust is Road transportation, emission of cars and two-wheeled vehicles. Also, that of VOC is Solvent utilization emission facilities due to Solvent utilization. 11. The concentration of sulfurous acid gas has been 0.004ppm since 2001 and there has not been no concentration change year by year. It is considered that the use of sulfurous acid gas is now reaching to the stabilization stage. This is found by the facts that the use of fuel is steadily changing from solid or liquid fuel to low sulfur liquid fuel containing very little amount of sulfur element or gas, so that nearly no change in concentration has been shown regularly. 12. Concerning changes of the concentration of throughout time, the concentration of NO has been shown relatively higher than that of $NO_2$ between 6AM~1PM and the concentration of $NO_2$ higher during the other time. The concentration of NOx(NO, $NO_2$) has been relatively high during weekday evenings. This result shows that there is correlation between the concentration of NOx and car traffics as we can see the Road transportation which accounts for 59.1% among the amount of NOx emission. 13. 49.1~61.2% of PM-10 shows PM-2.5 concerning the relationship between PM-10 and PM-2.5 and PM-2.5 among dust accounts for 45.4%~44.5% of PM-10 during March and April which is the lowest rates. This proves that particles of yellow sand that are bigger than the size $2.5\;{\mu}m$ are sent more than those that are smaller from China. This result shows that particles smaller than $2.5\;{\mu}m$ among dust exist much during July~August and December~January and 76.7% of minute dust is proved to be road transportation in Gwangju.

• Journal of agricultural medicine and community health
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• v.30 no.3
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• pp.293-303
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• 2005

Objectives: Yearly, annual report of cancer patients in Korea is released by National Cancer Center. But, this report is focused in all of the patients in nation. So, there is needed to modify and analyze this report to be used properly for local resident. In Ulleung island, local county and Ulleung medical center don't have cancer occurrence data of local resident until now. The aim of this analysis is to know characteristics and data of cancer patients occurrence in Ulleung island for 10 years. Methods: We are offered data of cancer patients occurrence in Ulleung island for 10 years from National Cancer Center. This data was composed of sex, address (only town level), diagnosed date, diagnosis. So, we analyze this data and compare to Korea data for same duration. Results: There were 268 patients for 10 years (1993-2002). Man were 175 about 65% and women were 93 about 35%. There were 163 in Ulleungeup about 60%, 39 in Seomyun about 14.5% and 48 in Bukmyun about 18%. There were 19 patients in unknown residence. After 1998, above 30 patients were occurred, but before 1998, below 27 patients were occurred. Diagnosed date was concentrated in June, 33 patients were occurred about 12%, but least occurred month was December. Most occurred age were from 60 to 69, there were 80 patients about 30%. Most occurred cancer was gastric cancer, there were 54 patients about 20%. Hepatic cancer was second and third was lung cancer. In man, most occurred cancers were gastric cancer and hepatic cancer, both was 38 patients. In woman, gastric cancer and uterine cervix cancer were occurred mostly. After 2001, in Korea most occurred female cancer was breast, but in Ulleung island, most occurred cancer was stomach. Conclusions: Researcher should demand and analyze cancer data from National Cancer Center that cancer management project in local county and public health education of cancer could focus on local resident because annually released cancer data from National Cancer Center focus on a nation. In Ulleung island, cancer incidence was more than incidence in Korea and breast cancer was occurred less than in Korea. So, more study should be needed to confirm why more cancer were occurred than Korea and breast cancer was less occurred.

• Journal of agricultural medicine and community health
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• v.22 no.2
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• pp.239-252
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• 1997

A questionnaire survey including stool examination for the parasite ova, skin test, and enzyme-linked immunosorbent assay (ELISA) of the liver fluke to find the factors related with the prevalence of the parasite infestation was done toward 118 residents living in three villages of Song-jung, Yi-jung, and Chim-gok of Okok-myun, Goksung County, South Cholla Province. The results are as follows : 1. The prevalence of Clonorchis sinensis ova by the stool examination was 46.6%. The sensitivity and specificity of skin test to egg-positive cases were 63.5% and 68.9%. The sensitivity and specificity of ELISA to egg-positive clonorchiasis were 100% and 34.9%. 2. The prevalence of Clonchiasis was higher in male than in female. 45~64 year old group was the highest among age groups, and the longer the duration of living in the present residence was, the higher the prevalence was shown statistically significantly (p<0.01). 3. The present drinker had higher prevalence of Clonorchiasis significantly than the past drinker or non-drinker, and the more the frequency of drinking the higher the prevalence was shown significantly (p<0.05). 4. Those who took raw fish had significantly higher than persons who didn't take it or take cooked fish(p<0.05) and prevalence showed the tendency to be increased as the frequency to take raw fishes increased significantly(p<0.05). 5. Those who had taken a raw sweet fish(Plecoglossus altivelis) or snake-headed fish(Ophicephalus argus) showed significantly higher prevalence of infection with liver fluke than persons who didn't take the raw fish. 6. While 56.4% of persons infected with Clonorchiasis answered that they were healthy, only 13.0% of the subjects were careful for their health, and 41.8% experienced tests to diagnose liver flukes before they were examined by this survey. 7. While 56.4% of infected persons thought the prevalence was high in their community, 54.0% were afraid to be infected, 47.1% thought the infection might destroy their health, 25.5% took treatment drugs, and 18.2% took raw fish continuously after treatment. The above results confirmed that Goksung area was highly prevalent in Clonorchiasis, so it was necessary to push effective preventive program against liver fluke infection together with the program to diagnose and treat existing infected persons.

• The Korean Journal of Community Living Science
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• v.17 no.4
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• pp.97-112
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• 2006

For 387 married women in their 20s to 50s, we inquired about the differences in whether they intended on moving into a welfare facility, depending on their views on supporting the elderly and the burden of supporting elderly parents, and tried to find out factors that would affect their decision to move into a welfare facility. With those objectives in mind, we conducted a survey targeting married women in their 20s to 50s who live in Seoul, Daejun or a city or county in Choongnam-do, and carried out frequency analysis, intersection analysis, one-way ANOVA and judge analysis. Our findings from those analyses are summarized as follows. First, when considering married women's characteristics and examining their intention of moving into a welfare facility for the elderly, there was a meaningful difference in their intention depending on age, academic background, occupation, and area of residence. Second, our analysis of the differences in their intention of moving in, based on married women's view on supporting the elderly and the burden of supporting elderly parents, indicates that due to these responsibilities, the greatest number of married women expressed their intention of moving in if a convenient facility for the elderly and service were provided. However, the analysis for the intention of moving in depending on savings for old age, did not exhibit any meaningful difference. Third, from the examination of determining factors for married women's intention of moving into a welfare facility for the elderly, based on age, academic background, occupation, residential area, responsibility for supporting an elderly family member and savings for old age, it was found that the burden of support was the only meaningful effective factor.

• International Journal of Advanced Culture Technology
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• v.4 no.2
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• pp.38-42
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• 2016

In the growing data saturated world, the question of "whether data can be used" has shifted to "can it be utilized effectively?" More data is being generated and utilized than ever before. As the collection of data increases, data mining techniques also must become more and more accurate. Thus, to ensure this data is effectively utilized, the analysis of the data must be efficient. Interpretation of results from the analysis of the data set presented, have their own on the basis it is possible to obtain the desired data. In the data mining method a decision tree, clustering, there is such a relationship has not yet been fully developed algorithm actually still impact of various factors. In this experiment, the classification method of data mining techniques is used with easy decision tree. Also, it is used special technology of one R and J48 classification technique in the decision tree. After selecting a rule that a small error in the "one rule" in one R classification, to create one of the rules of the prediction data, it is simple and accurate classification algorithm. To create a rule for the prediction, we make up a frequency table of each prediction of the goal. This is then displayed by creating rules with one R, state-of-the-art, classification algorithm while creating a simple rule to be interpreted by the researcher. While the following can be correctly classified the pattern specified in the classification J48, using the concept of a simple decision tree information theory for configuring information theory. To compare the one R algorithm, it can be analyzed error rate and accuracy. One R and J48 are generally frequently used two classifications${\ldots}$