References
- Wikidepia. Big data [Internet]. San Francisco (CA): Wikimedia Foundation [Cited 2017 Mar 1]. Available from: https://en.wikipedia.org/wiki/Big_data.
- McAfee A, Brynjolfsson E, Davenport TH. Big data: the management revolution. Harvard Bus Rev 2012;90(10):60-68.
- Gantz J, Reinsel D. The digital universe in 2020: big data, bigger digital shadows, and biggest growth in the far east. Framingham (MA): International Data Corporation; 2013.
- Hoover R, Sheth P, Burde A. Determining the accuracy of open-access databases for identifying commonly prescribed oral medications. J Am Pharm Assoc (2003) 2016;56(1):37-40. DOI: https://doi.org/10.1016/j.japh.2015.11.009.
- Laffer MS, Feldman SR. Improving medication adherence through technology: analyzing the managing meds video challenge. Skin Res Technol 2014;20(1):62-66. DOI: https://doi.org/10.1111/srt.12084.
- Yang HY. The methodology for using the bigdata. Seoul: Korea Institute of Science and Technology Evaluation and Planning; 2012.
- Carneiro HA, Mylonakis E. Google trends: a web-based tool for real-time surveillance of disease outbreaks. Clin Infect Dis 2009;49(10):1557-1564. DOI: https://doi.org/10.1086/630200.
- Dugas AF, Hsieh YH, Levin SR, Pines JM, Mareiniss DP, Mohareb A, et al. Google flu trends: correlation with emergency department influenza rates and crowding metrics. Clin Infect Dis 2012;54(4):463-469. DOI: https://doi.org/10.1093/cid/cir883.
- Kang M, Zhong H, He J, Rutherford S, Yang F. Using Google trends for influenza surveillance in South China. PLoS One 2013;8(1):e55205. DOI: https://doi.org/10.1371/journal.pone.0055205.
- Cho S, Sohn CH, Jo MW, Shin SY, Lee JH, Ryoo SM, et al. Correlation between national influenza surveillance data and google trends in South Korea. PLoS One 2013;8(12):e81422. DOI: https://doi.org/10.1371/journal.pone.0081422.
- Bhattacharya I, Ramachandran A, Bhattacharya J, Dogra NK. Google trends for formulating GIS mapping of disease outbreaks in India. Int J Geoinform 2013;9(3):9-19.
- Yang AC, Huang NE, Peng CK, Tsai SJ. Do seasons have an influence on the incidence of depression?: the use of an internet search engine query data as a proxy of human affect. PLoS One 2010;5(10):e13728. DOI: https://doi.org/10.1371/journal.pone.0013728.
- Ayers JW, Althouse BM, Allem JP, Rosenquist JN, Ford DE. Seasonality in seeking mental health information on Google. Am J Prev Med 2013; 44(5):520-525. DOI: https://doi.org/10.1016/j.amepre.2013.01.012.
- Lee BY, Lim JT, Yoo J. Utilization of social media analysis using big data. J Korea Contents Assoc 2013;13(2):211-219. DOI: https://doi.org/10.5392/JKCA.2013.13.02.211.
- Butler D. When Google got flu wrong. Nature 2013;494(7436):155-156. DOI: https://doi.org/10.1038/494155a.
- Lazer D, Kennedy R, King G, Vespignani A. Big data: the parable of Google flu: traps in big data analysis. Science 2014;343(6176):1203-1205. DOI: https://doi.org/10.1126/science.1248506.
- Song TM, Song J, An JY, Jin D. Multivariate analysis of factors for search on suicide using social big data. Korean J Health Educ Promot 2013; 30(3):59-73. DOI: https://doi.org/10.14367/kjhep.2013.30.3.059.
- Song TM, Song J, Cheon MK. Predicting tobacco risk factors by using social big data. J Korean Data Inf Sci Soc 2015;26(5):1047-1059. DOI: https://doi.org/10.7465/jkdi.2015.26.5.1047.
- Korea Institute for Health and Social Affairs. Prediction and implication development of at-risk youth based on bigdata. Sejong: Korea Institute for Health and Social Affairs; 2015.
- National Institute of Health. Abortion [Internet]. Bethesda (MD): National Institute of Health [Cited 2016 Nov 1]. Available from: https://medlineplus.gov/abortion.html.
- World Health Organization. Safe abortion: technical and policy guidance for health systems. Geneva: World Health Organization; 2012.
- Korea University, Ministry of Health and Welfare. The induced abortion survey and police development. Seoul: Korea University; 2005.
- Internet Trend. Search engine [Internet]. [place unknown]: Internet Trend [Cited 2016 Nov 1]. Available from: http://internettrend.co.kr/trendForward.tsp.
- Tanaka T, Natsume T, Shibata H, Nozawa K, Kojima S, Tsuchiya M, et al. Circadian rhythm of blood pressure in primary aldosteronism and renovascular hypertension: analysis by the cosinor method. Jpn Circ J 1983;47(7):788-794. DOI: https://doi.org/10.1253/jcj.47.788.
- Massin MM, Maeyns K, Withofs N, Ravet F, Gerard P. Circadian rhythm of heart rate and heart rate variability. Arch Dis Child 2000;83(2):179-182. DOI: https://doi.org/10.1136/adc.83.2.179.
- Portela A, Northrup G, Halberg F, Cornelissen G, Wendt H, Melby JC, et al. Changes in human blood pressure with season, age and solar cycles: a 26 year record. Int J Biometeorol 1996;39(4):176-181. DOI: https://doi.org/10.1007/bf01221388.
- Oberg AL, Ferguson JA, McIntyre LM, Horner RD. Incidence of stroke and season of the year: evidence of an association. Am J Epidemiol 2000;152(6):558-564. DOI: https://doi.org/10.1093/aje/152.6.558.
- Degerud E, Hoff R, Nygard O, Strand E, Nilsen DW, Nordrehaug JE, et al. Cosinor modelling of seasonal variation in 25-hydroxyvitamin D concentrations in cardiovascular patients in Norway. Eur J Clin Nutr 2016;70(4):517-522. DOI: https://doi.org/10.1038/ejcn.2015.200.
- Cornelissen G. Cosinor-based rhythmometry. Theor Biol Med Model 2014;11:16. DOI: https://doi.org/10.1186/1742-4682-11-16.
- Yonsei University, Ministry of Health and Welfare. The induced abortion survey and police development. Seoul: Yonsei University; 2011.
- Ministry of Health and Welfare. Falling induced abortion rate!: decreased 28% in the past three years. Sejong: Ministry of Health and Welfare; 2012.
- Park HM. A study on status and policy of induced abortion. Seoul: Korean Institute of Criminology; 2011.
- Lee BH. The issue of induced abortion. Suwon: Gyeonggi Research Institute; 2015.
- Jones RK, Kost K. Underreporting of induced and spontaneous abortion in the United States: an analysis of the 2002 National Survey of Family Growth. Stud Fam Plann 2007;38(3):187-197. DOI: https://doi.org/10.1111/j.1728-4465.2007.00130.x.
- Korean Statistical Information Service. Changes in the number and rate of population dynamics [Internet]. Daejeon: Statistics Korea; 2017 [cited 2017 Aug 7]. Available from: http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1B8000F&vw_cd=MT_OTITLE&list_id=MT_CTITLE_C_CF&scrId=&seqNo=&lang_mode=ko&obj_var_id=&itm_id=&conn_path=E1#.
- Yadava KN, Dube D, Marwah SM. A study of seasonal trends in delivery and medical termination of pregnancy. J Obstet Gynaecol India 1979;29(2):256-257.
- Petersen DJ, Alexander GR. Seasonal variation in adolescent conceptions, induced abortions, and late initiation of prenatal care. Public Health Rep 1992;107(6):701-706.
- Wellings K, Macdowall W, Catchpole M, Goodrich J. Seasonal variations in sexual activity and their implications for sexual health promotion. J R Soc Med 1999;92(2):60-64. DOI: https://doi.org/10.1177/014107689909200204.
- Grimes DA, Benson J, Singh S, Romero M, Ganatra B, Okonofua FE, et al. Unsafe abortion: the preventable pandemic. Lancet 2006;368(9550):1908-1919. DOI: https://doi.org/10.1016/S0140-6736(06)69481-6.
- Korea Institute for Health and Social Affairs. Policy issues on abortion in Korea. Sejong: Korea Institute for Health and Social Affairs; 2010.
- Korea Institute for Health and Social Affairs. The 2015 national survey on fertility and family health and welfare. Sejong: Korea Institute for Health and Social Affairs; 2015.
- Lee MJ. Reviewing socioeconomic reasons for abortion in Korea. Seoul: Korean Women's Development Institute; 2010.
- Hwang SW, Chung CW. Contraception behaviors in unmarried men and women: a descriptive qualitative approach. Perspect Nurs Sci 2012;9(2):71-82.
- Calabretto H. Emergency contraception: knowledge and attitudes in a group of Australian university students. Aust N Z J Public Health 2009; 33(3):234-239. DOI: https://doi.org/10.1111/j.1753-6405.2009.00381.x.
- Choi SY, Kim YH, Oh HS. A study on sexual behavior, pregnancy and contraception knowledge in female adolescent. Korean J Women Health Nurs 2004;10(1):42-50. https://doi.org/10.4069/kjwhn.2004.10.1.42
- Choi JH, Kim KE, Shin MA. Contraceptive knowledge, contraceptive attitude, and contraceptive use among college students: function of gender, age, and residence. Korean J Hum Ecol 2010;19(3):511-522. DOI: https://doi.org/10.5934/KJHE.2010.19.3.511.
- Lee GR, Kim JA. Influencing factors on knowledge of contraception. J Converg Cult Technol 2015;1(4):19-26. DOI: https://doi.org/10.17703/JCCT.2015.1.4.19.
- Korea Centers for Disease Control and Prevention. The Korea youth risk behavior web-based survey report. Cheongju: Korea Centers for Disease Control and Prevention; 2015.
- Yoo SM. A study on unwed teenage mothers [master's thesis]. Seoul: Dongguk University; 2001.