Osong Public Health and Research Perspectives

Brief Report

Early countermeasures to COVID-19 at long-term care facilities in Gwangju Metropolitan City, Republic of Korea: Hye-Jin Kim, Jieun Kim, Yoon Suk Jang, Hanul Park, Jong Mu Kim, Young Joon Park, So-Yeon Ryu, Jun Hwi Cho, So Yeong Park, Sang-Eun Lee; Osong Public Health Res Perspect. 2023;14(1):59-65. Published online February 1, 2023; DOI: https://doi.org/10.24171/j.phrp.2022.0293

1,857 View
79 Download

Graphical Abstract Abstract PDF: Objectives
The coronavirus disease 2019 (COVID-19) pandemic has continued since its first detection in the Republic of Korea on January 20, 2020. This study describes the early countermeasures used to minimize the risk of COVID-19 outbreaks during cohort quarantine and compares the epidemiological characteristics of 2 outbreaks in long-term care facilities (LTCFs) in Gwangju Metropolitan City in summer 2020. Methods: An epidemiological investigation was conducted via direct visits. We investigated epidemiological characteristics, including incidence, morbidity, and mortality rates, for all residents and staff members. Demographic characteristics were analyzed using a statistical program. Additionally, the method of managing infection in LTCFs is described. Results: Residents and caregivers had high incidence rates in LTCF-A and LTCF-B, respectively. LTCF-B had a longer quarantine period than LTCF-A. The attack rate was 20.02% in LTCF-A and 27.9% in LTCF-B. The mortality rate was 2.3% (1/43) in LTCF-B, the only facility in which a COVID-19 death occurred. Conclusion: Extensive management requires contact minimization, which involves testing all contacts to mitigate further transmission in the early stages of LTCF outbreaks. The findings of this study can help inform and prepare public health authorities for COVID-19 outbreaks, particularly for early control in vulnerable facilities.

Original Article

Depression among Korean Adults with Type 2 Diabetes Mellitus: Ansan-Community-Based Epidemiological Study: Chan Young Park, So Young Kim, Jong Won Gil, Min Hee Park, Jong-Hyock Park, Yeonjung Kim; Osong Public Health Res Perspect. 2015;6(4):224-232. Published online August 31, 2015; DOI: https://doi.org/10.1016/j.phrp.2015.05.004

3,106 View
13 Download
22 Crossref

Objectives
There are an increasing number of studies being carried out on depression in patients with diabetes. Individuals with diabetes have been reported as having a higher prevalence of depression compared to those without diabetes. However, only a few studies involving Korean patients have been conducted. The aims of this study were to examine the prevalence of depression and to find various risk factors according to the degree of depression among Korean patients with Type 2 diabetes mellitus (T2DM).
Methods
An Ansan-community-based epidemiological study was conducted from 2005 to 2012. The total number of participants in this study was 3,540, from which patients with diabetes (n = 753) have been selected. The presence of depression was evaluated using the Beck Depression Inventory total score.
Results
The prevalence of depression was 28.8%. The mean age of participants was 55.5 ± 8.2 years. We divided the participants into three groups (without-depression, moderate-depression, and severe-depression groups) to examine the depression prevalence among Korean T2DM patients. The unemployed participants had 2.40 [95% confidence interval (CI) 1.21–4.76], the low-income participants had 2.57 (95% CI 1.52–4.35), the participants using an oral diabetes medicine or insulin had 2.03 (95% CI 1.25–3.32), the participants who are currently smoking had 2.03 (95% CI 1.10–3.73), and those without regular exercise had 1.91 (95% CI 1.17–3.14) times higher odds of depression in the severe-depression group, compared with the without-depression group.
Conclusion
There was a significant association between depression prevalence and diabetes, and we found various risk factors according to the degree of depression in Korean patients with T2DM.

Citations

Citations to this article as recorded by

Psychological Health and Diabetes Self-Management among Patients with Type 2 Diabetes during COVID-19 in the Southwest of Saudi Arabia
Abdulrhman H. Alkhormi, Mohamed Salih Mahfouz, Najim Z. Alshahrani, Abdulrahman Hummadi, Wali A. Hakami, Doha H. Alattas, Hassan Q. Alhafaf, Leena E. Kardly, Mulook A. Mashhoor
Medicina.2022; 58(5): 675. CrossRef
Higher risk of depression in individuals with type 2 diabetes and obesity: Results of a meta-analysis
Thelma Beatriz González-Castro, Yudy Merady Escobar-Chan, Ana Fresan, María Lilia López-Narváez, Carlos Alfonso Tovilla-Zárate, Isela Esther Juárez-Rojop, Jorge L Ble-Castillo, Alma Delia Genis-Mendoza, Pedro Iván Arias-Vázquez
Journal of Health Psychology.2021; 26(9): 1404. CrossRef
The Effects of Meditation with a Biofeedback Program on Stress and Depression Levels among People with Mild Depression Diabetes
Ormanee Patarathipakorn, Manyat Ruchiwit, Marlaine Smith
The Open Public Health Journal.2021; 14(1): 104. CrossRef
Association between the level of adherence to dietary guidelines and depression among Korean patients with type 2 diabetes mellitus
Seonghee Park, Kyong Park
Journal of Psychosomatic Research.2021; 145: 110463. CrossRef
Depression Among Patients with Type 2 Diabetes Mellitus: Prevalence and Associated Factors in Hue City, Vietnam
Nhu Minh Hang Tran, Quang Ngoc Linh Nguyen, Thi Han Vo, Tran Tuan Anh Le, Ngoc Ha Ngo
Diabetes, Metabolic Syndrome and Obesity: Targets .2021; Volume 14: 505. CrossRef
Factors Associated with Depressive Symptoms in Korean Adults with Diabetes Mellitus: A Cross-Sectional Study
Mihyun Jeong
Healthcare.2021; 9(8): 1049. CrossRef
Spiritual intelligence, mindfulness, emotional dysregulation, depression relationship with mental well-being among persons with diabetes during COVID-19 pandemic
Wojujutari Kenni Ajele, Teslim Alabi Oladejo, Abimbola A. Akanni, Oyeyemi Bukola Babalola
Journal of Diabetes & Metabolic Disorders.2021; 20(2): 1705. CrossRef
Depression and Its Predictors among Diabetes Mellitus Patients Attending Treatment in Hawassa University Comprehensive Specialized Hospital, Southern Ethiopia
Bereket Beyene Gebre, Suzan Anand, Zebene Mekonnen Assefa
Journal of Diabetes Research.2020; 2020: 1. CrossRef
Effect of Study Design and Survey Instrument to Identify the Association Between Depressive Symptoms and Physical Activity in Type 2 Diabetes, 2000-2018: A Systematic Review
Jusung Lee, Timothy Callaghan, Marcia Ory, Hongwei Zhao, Margaret Foster, Jane N. Bolin
The Diabetes Educator.2020; 46(1): 28. CrossRef
Genetic Overlap Between Type 2 Diabetes and Depression in a Sri Lankan Population Twin Sample
Carol Kan, Kaushalya Jayaweera, Anushka Adikari, Sisira Siribaddana, Helena M.S. Zavos, Lisa Harber-Aschan, Athula Sumathipala, Matthew Hotopf, Khalida Ismail, Frühling Rijsdijk
Psychosomatic Medicine.2020; 82(2): 247. CrossRef
Depression in Iranian Children with Diabetes and Related Factors
Azadeh Sayarifard, Fatemeh Sayarifard, Maryam Nazari, Morteza Nikzadian, Mona Amrollahinia, Javad Mahmoudi-Gharaei
Iranian Journal of Pediatrics.2020;[Epub] CrossRef
Prevalence of Undiagnosed Depression in Patients With Type 2 Diabetes
Dina Siddiq Abdulhadi Alajmani, Amna Mohamad Alkaabi, Mariam Waleed Alhosani, Ayesha Abdulaziz Folad, Fawzia Ahmed Abdouli, Frederick Robert Carrick, Mahera Abdulrahman
Frontiers in Endocrinology.2019;[Epub] CrossRef
Risk and protective factors of co-morbid depression in patients with type 2 diabetes mellitus: a meta analysis
Aidibai Simayi, Patamu Mohemaiti
Endocrine Journal.2019; 66(9): 793. CrossRef
The prevalence of comorbid depression in patients with type 2 diabetes: an updated systematic review and meta-analysis on huge number of observational studies
Mohammad Khaledi, Fahimeh Haghighatdoost, Awat Feizi, Ashraf Aminorroaya
Acta Diabetologica.2019; 56(6): 631. CrossRef
Effect of walking and aerobic exercise on physical performance and depression in cases of type 2 diabetes mellitus
Manal K. Youssef
The Egyptian Journal of Internal Medicine.2019; 31(2): 142. CrossRef
Premorbid risk perception, lifestyle, adherence and coping strategies of people with diabetes mellitus: A phenomenological study in the Brong Ahafo Region of Ghana
Philip Teg-Nefaah Tabong, Vitalis Bawontuo, Doris Ningwiebe Dumah, Joseph Maaminu Kyilleh, Tolgou Yempabe, Noël C. Barengo
PLOS ONE.2018; 13(6): e0198915. CrossRef
Past and Current Status of Adult Type 2 Diabetes Mellitus Management in Korea: A National Health Insurance Service Database Analysis
Seung-Hyun Ko, Kyungdo Han, Yong-ho Lee, Junghyun Noh, Cheol-Young Park, Dae-Jung Kim, Chang Hee Jung, Ki-Up Lee, Kyung-Soo Ko
Diabetes & Metabolism Journal.2018; 42(2): 93. CrossRef
Why Early Psychological Attention for Type 2 Diabetics Could Contribute to Metabolic Control
Alfredo Briones-Aranda, Manuela Castellanos-Pérez, Raquel Gómez-Pliego
Romanian Journal of Diabetes Nutrition and Metabol.2018; 25(3): 329. CrossRef
Depression and Mortality in People with Type 2 Diabetes Mellitus, 2003 to 2013: A Nationwide Population-Based Cohort Study
Jong-Hyun Jeong, Yoo Hyun Um, Seung-Hyun Ko, Jong-Heon Park, Joong-Yeol Park, Kyungdo Han, Kyung-Soo Ko
Diabetes & Metabolism Journal.2017; 41(4): 296. CrossRef
Diabetes-related distress and its associated factors among patients with type 2 diabetes mellitus in China
Huanhuan Zhou, Junya Zhu, Lin Liu, Fan Li, Anne F. Fish, Tao Chen, Qingqing Lou
Psychiatry Research.2017; 252: 45. CrossRef
Comorbidity of depression and diabetes: an application of biopsychosocial model
Tesfa Dejenie Habtewold, Md. Atiqul Islam, Yosef Tsige Radie, Balewgizie Sileshi Tegegne
International Journal of Mental Health Systems.2016;[Epub] CrossRef
Differences in depression between unknown diabetes and known diabetes: results from China health and retirement longitudinal study
Huaqing Liu, Xiaoyue Xu, John J. Hall, Xuesen Wu, Min Zhang
International Psychogeriatrics.2016; 28(7): 1191. CrossRef

Articles

Epidemiological and Immunological Characteristics at the Time of HIV Diagnosis for HIV/AIDS Cohort Registrants Representative of HIV-Infected Populations in Korea: Jin-Hee Lee, Seung Hyun Kim, Jin-Sook Wang, Kyoung Mi Sung, Sung Soon Kim, Mee-Kyung Kee; Osong Public Health Res Perspect. 2012;3(2):100-106. Published online June 30, 2012; DOI: https://doi.org/10.1016/j.phrp.2012.04.002

2,800 View
22 Download
2 Crossref

Abstract PDF

Objectives
The Korea HIV/AIDS cohort was constructed with 18 hospitals that care for HIV-infected individuals in 2006. We compared the epidemiological and immunological characteristics of the cohort registrants with those of the HIVinfected population at the time of HIV diagnosis.
Methods
This study was conducted on 5717 people living with HIV/AIDS from 1985 to 2009, of which 789 individuals registered with the Korea HIV/AIDS cohort study. Individuals who had data from initial CD4+ T-cell counts measured within 6 months following HIV diagnosis were selected as study participants to predict the status of disease progression at the time of HIV diagnosis. A total of 2886 patients (50%) were selected from people living with HIV/AIDS, of whom 424 individuals (54%) were cohort registrants. The χ² test and Wilcoxon rank sum test were used for analysis.
Results
The distributions of age, marital status, diagnosed regions, reason for HIV testing, and screening site were similar between the HIV-infected population and the cohort registrants. In 1985–2004, the male ratio for the cohort registrants (94.3%) was significantly higher than that measured for the HIV-infected population (89.5%) (p = 0.0339). With regard to transmission route, homosexual contact of cohort registrants (46.6%) was higher than that of the HIV-infected population (40.1%) (p = 0.022) in 2005–2009. No statistical difference in CD4+ T-cell counts at the time of HIV diagnosis was found between the HIVinfected population and cohort registrants (p = 0.2195).
Conclusion
The Korea HIV/AIDS cohort registrants represent the HIV-infected population, and the data collected from this cohort could be used as a foundation for national statistics.

Citations

Citations to this article as recorded by

Changing Patterns of HIV Epidemic in 30 Years in East Asia
S. Pilar Suguimoto, Teeranee Techasrivichien, Patou Masika Musumari, Christina El-saaidi, Bhekumusa Wellington Lukhele, Masako Ono-Kihara, Masahiro Kihara
Current HIV/AIDS Reports.2014; 11(2): 134. CrossRef
Can Stigma Still Distort the Spectrum of a Disease?
Hae-Wol Cho, Chaeshin Chu
Osong Public Health and Research Perspectives.2012; 3(2): 65. CrossRef

Opening of the National Biobank of Korea as the Infrastructure of Future Biomedical Science in Korea: Sang Yun Cho, Eun Jung Hong, Jung Min Nam, Bogkee Han, Chaeshin Chu, Ok Park; Osong Public Health Res Perspect. 2012;3(3):177-184.; DOI: https://doi.org/10.1016/j.phrp.2012.07.004

3,334 View
26 Download
32 Crossref

Abstract PDF

On April 26, 2012, the Korea National Institute of Health officially held the opening ceremony of newly dedicated biobank building, ‘National Biobank of Korea’. The stocked biospecimens and related information have been distributed for medical and public health researches. The Korea Biobank Project, which was initiated in 2008, constructed the Korea Biobank Network consisting of the National Biobank of Korea (NBK) with 17 regional biobanks in Korea. As of December 2011, a total of 525,416 biospecimens with related information have been secured: 325,952 biospecimens from the general population obtained through cohort studies and 199,464 biospecimens of patients from regional biobanks. A large scale genomic study, Korea Association Resource (KARE) and many researches utilized the biospecimens secured through Korea Genome Epidemiology Study (KoGES) and Korea Biobank Project (KBP). Construction of ‘National Biobank of Korea’, a dedicated biobank building at Osong means that NBK can manage and check quality of the biospecimens with promising distribution of 26 million vials of biospecimen, which provide the infrastructure for the development of health technology in Korea. The NBK and the National Library of Medicine (to be constructed in 2014) will play a central role in future biomedical research in Korea.

Citations

Citations to this article as recorded by

Associations of Serum Folate and Homocysteine Concentrations with All-Cause, Cardiovascular Disease, and Cancer Mortality in Men and Women in Korea: the Cardiovascular Disease Association Study
Sihan Song, Bo Mi Song, Hyun-Young Park
The Journal of Nutrition.2023; 153(3): 760. CrossRef
Matching Drug Metabolites from Non-Targeted Metabolomics to Self-Reported Medication in the Qatar Biobank Study
Karsten Suhre, Nisha Stephan, Shaza Zaghlool, Chris R. Triggle, Richard J. Robinson, Anne M. Evans, Anna Halama
Metabolites.2022; 12(3): 249. CrossRef
Age Group-specific Reference Intervals for the Elecsys Anti-Müllerian Hormone Assay in Healthy Korean Women: a Nationwide Population-based Study
Misuk Ji, Kwang-Rae Kim, Hyun-Ki Kim, Woochang Lee, Yeo-Min Yun, Sail Chun, Won-Ki Min
Annals of Laboratory Medicine.2022; 42(6): 621. CrossRef
Building a Biobank Network for Health Research in Indonesia
Ery Kus Dwianingsih, Junaedy Yunus, Lutfan Lazuardi, Amirah Ellyza Wahdi, Aulia Fitri Rhamadianti, Florentina Linda, Sunandar Hariyanto, Jajah Fachiroh
Open Access Macedonian Journal of Medical Sciences.2022; 10(A): 1067. CrossRef
The Association of Serum High-Sensitivity C-Reactive Protein Level With the Risk of Site-Specific Cancer Mortality: The Health Examinees (HEXA) Study Cohort
Sang-Ah Lee, Sung-Ok Kwon, Minkyo Song, Ji-Yeob Choi, Aesun Shin, Xiao-Ou Shu, Wei Zheng, Jong-Koo Lee, Daehee Kang
American Journal of Epidemiology.2022; 191(12): 2002. CrossRef
Asian-specific 3’UTR variant in CDKN2B associated with risk of pituitary adenoma
Byeong Ju Youn, Hyun Sub Cheong, Suhg Namgoong, Lyoung Hyo Kim, In Ki Baek, Jeong-Hyun Kim, Seon-Jin Yoon, Eui Hyun Kim, Se Hoon Kim, Jong Hee Chang, Sun Ho Kim, Hyoung Doo Shin
Molecular Biology Reports.2022; 49(11): 10339. CrossRef
Two independent variants of epidermal growth factor receptor associated with risk of glioma in a Korean population
In Ki Baek, Hyun Sub Cheong, Seok Namgoong, Jeong-Hyun Kim, Seok-Gu Kang, Seon-Jin Yoon, Se Hoon Kim, Jong Hee Chang, Lyoung Hyo Kim, Hyoung Doo Shin
Scientific Reports.2022;[Epub] CrossRef
The concept of the national information platform of biobanks of the Russian Federation
A. N. Meshkov, O. Yu. Yartseva, A. L. Borisova, M. S. Pokrovskaya, O. M. Drapkina
Cardiovascular Therapy and Prevention.2022; 21(11): 3417. CrossRef
Prawne aspekty badań genomicznych i biobankowania w regionie Azji Wschodniej
Karol Gregorczuk
Gdańskie Studia Azji Wschodniej.2022; (22): 24. CrossRef
PheWAS-ME: a web-app for interactive exploration of multimorbidity patterns in PheWAS
Nick Strayer, Jana K Shirey-Rice, Yu Shyr, Joshua C Denny, Jill M Pulley, Yaomin Xu, Lu Zhiyong
Bioinformatics.2021; 37(12): 1778. CrossRef
Introduction to the human disease resource search and distribution platform through the Korea Biobank Network portal
Young Hwan Kim, Hong Rim Cha, Ji Eun Lee, Se Eun Cha, Yeong Jin Choi
Journal of the Korean Medical Association.2021; 64(1): 57. CrossRef
GenomeAsia100K: Singapore Builds National Science with Asian DNA
Manoj Vimal, Wairokpam Premi Devi, Ian McGonigle
East Asian Science, Technology and Society: An Int.2021; 15(2): 238. CrossRef
Common Data Model and Database System Development for the Korea Biobank Network
Soo-Jeong Ko, Wona Choi, Ki-Hoon Kim, Seo-Joon Lee, Haesook Min, Seol-Whan Oh, In Young Choi
Applied Sciences.2021; 11(24): 11825. CrossRef
The emerging landscape of health research based on biobanks linked to electronic health records: Existing resources, statistical challenges, and potential opportunities
Lauren J. Beesley, Maxwell Salvatore, Lars G. Fritsche, Anita Pandit, Arvind Rao, Chad Brummett, Cristen J. Willer, Lynda D. Lisabeth, Bhramar Mukherjee
Statistics in Medicine.2020; 39(6): 773. CrossRef
Electronic health records and polygenic risk scores for predicting disease risk
Ruowang Li, Yong Chen, Marylyn D. Ritchie, Jason H. Moore
Nature Reviews Genetics.2020; 21(8): 493. CrossRef
Sport and exercise genomics: the FIMS 2019 consensus statement update
Kumpei Tanisawa, Guan Wang, Jane Seto, Ioanna Verdouka, Richard Twycross-Lewis, Antonia Karanikolou, Masashi Tanaka, Mats Borjesson, Luigi Di Luigi, Michiko Dohi, Bernd Wolfarth, Jeroen Swart, James Lee John Bilzon, Victoriya Badtieva, Theodora Papadopoul
British Journal of Sports Medicine.2020; 54(16): 969. CrossRef
Cohort Profile: The Cardiovascular and Metabolic Diseases Etiology Research Center Cohort in Korea
Jee-Seon Shim, Bo Mi Song, Jung Hyun Lee, Seung Won Lee, Ji Hye Park, Dong Phil Choi, Myung Ha Lee, Kyoung Hwa Ha, Dae Jung Kim, Sungha Park, Won-Woo Lee, Yoosik Youm, Eui-Cheol Shin, Hyeon Chang Kim
Yonsei Medical Journal.2019; 60(8): 804. CrossRef
Higher Pro-Inflammatory Dietary Score is Associated with Higher Hyperuricemia Risk: Results from the Case-Controlled Korean Genome and Epidemiology Study_Cardiovascular Disease Association Study
Hye Sun Kim, Minji Kwon, Hyun Yi Lee, Nitin Shivappa, James R. Hébert, Cheongmin Sohn, Woori Na, Mi Kyung Kim
Nutrients.2019; 11(8): 1803. CrossRef
Association of C-Reactive Protein with Risk of Developing Type 2 Diabetes Mellitus, and Role of Obesity and Hypertension: A Large Population-Based Korean Cohort Study
Suganya Kanmani, Minji Kwon, Moon-Kyung Shin, Mi Kyung Kim
Scientific Reports.2019;[Epub] CrossRef
Large-Scale Genomic Biobanks and Cardiovascular Disease
Aeron M. Small, Christopher J. O’Donnell, Scott M. Damrauer
Current Cardiology Reports.2018;[Epub] CrossRef
The Rare Disease Bank of Japan: establishment, current status and future challenges
Mayako Tada, Makoto Hirata, Mitsuho Sasaki, Ryuichi Sakate, Arihiro Kohara, Ichiro Takahashi, Yosuke Kameoka, Toru Masui, Akifumi Matsuyama
Human Cell.2018; 31(3): 183. CrossRef
Association analysis of RTEL1 variants with risk of adult gliomas in a Korean population
Suhg Namgoong, Hyun Sub Cheong, Jeong-Hyun Kim, Lyoung Hyo Kim, Jung Yeon Seo, Seok-Gu Kang, Seon-Jin Yoon, Se Hoon Kim, Jong Hee Chang, Hyoung Doo Shin, Srinivas Mummidi
PLOS ONE.2018; 13(11): e0207660. CrossRef
Cohort Profile: The Korean Genome and Epidemiology Study (KoGES) Consortium
Yeonjung Kim, Bok-Ghee Han
International Journal of Epidemiology.2017; 46(2): e20. CrossRef
OBIB-a novel ontology for biobanking
Mathias Brochhausen, Jie Zheng, David Birtwell, Heather Williams, Anna Maria Masci, Helena Judge Ellis, Christian J. Stoeckert
Journal of Biomedical Semantics.2016;[Epub] CrossRef
Publicly-funded biobanks and networks in East Asia
Sunhee Lee, Paul Eunil Jung, Yeonhee Lee
SpringerPlus.2016;[Epub] CrossRef
Biobank Regulation in South Korea
Won Bok Lee
Journal of Law, Medicine & Ethics.2016; 44(2): 342. CrossRef
Development of an Integrated Biospecimen Database among the Regional Biobanks in Korea
Hyun Sang Park, Hune Cho, Hwa Sun Kim
Healthcare Informatics Research.2016; 22(2): 129. CrossRef
The Qatar Biobank: background and methods
Hanan Al Kuwari, Asma Al Thani, Ajayeb Al Marri, Abdulla Al Kaabi, Hadi Abderrahim, Nahla Afifi, Fatima Qafoud, Queenie Chan, Ioanna Tzoulaki, Paul Downey, Heather Ward, Neil Murphy, Elio Riboli, Paul Elliott
BMC Public Health.2015;[Epub] CrossRef
ELSI practices in genomic research in East Asia: implications for research collaboration and public participation
Go Yoshizawa, Calvin Wai-Loon Ho, Wei Zhu, Chingli Hu, Yoni Syukriani, Ilhak Lee, Hannah Kim, Daniel Fu Chang Tsai, Jusaku Minari, Kazuto Kato
Genome Medicine.2014;[Epub] CrossRef
A Strategic Plan for the Second Phase (2013–2015) of the Korea Biobank Project
Ok Park, Sang Yun Cho, So Youn Shin, Jae-Sun Park, Jun Woo Kim, Bok-Ghee Han
Osong Public Health and Research Perspectives.2013; 4(2): 107. CrossRef
Current Status, Challenges, Policies, and Bioethics of Biobanks
Byunghak Kang, Jaesun Park, Sangyun Cho, Meehee Lee, Namhee Kim, Haesook Min, Sooyoun Lee, Ok Park, Bokghee Han
Genomics & Informatics.2013; 11(4): 211. CrossRef
Basis for Korean Genome Study
Hae-Wol Cho, Chaeshin Chu
Osong Public Health and Research Perspectives.2012; 3(3): 119. CrossRef

First
Prev
Page of 1
Next
Last

Search