Advanced Daily Prediction Model for National Suicide Numbers with Social Media Data

다국어 초록 (Multilingual Abstract)

Objective-Suicide is a significant public health concern worldwide. Social media data have a potential role in identifying high suicide risk individuals and also in predicting suicide rate at the population level. In this study, we report an advanced daily suicide prediction model using social media data combined with economic/meteorological variables along with observed suicide data lagged by 1 week. Methods-The social media data were drawn from weblog posts. We examined a total of 10,035 social media keywords for suicide prediction. We made predictions of national suicide numbers 7 days in advance daily for 2 years, based on a daily moving 5-year prediction modeling period. Results-Our model predicted the likely range of daily national suicide numbers with 82.9% accuracy. Among the social media variables, words denoting economic issues and mood status showed high predictive strength. Observed number of suicides one week previously, recent celebrity suicide, and day of week followed by stock index, consumer price index, and sunlight duration 7 days before the target date were notable predictors along with the social media variables. Conclusion-These results strengthen the case for social media data to supplement classical social/economic/climatic data in forecasting national suicide events.

목차 (Table of Contents)

• INTRODUCTION
• METHODS
• RESULTS
• DISCUSSION
• ACKNOWLEDGMENTS
• REFERENCES

참고문헌 (Reference)

1 박인조, "한국어 감정단어의 목록과 정서 차원 탐색" 한국사회및성격심리학회 19 (19): 71-100, 2005

2 이준웅, "정서 단어 분류를 통한 정서의 구성 차원 및 위계적 범주에 관한 연구" 한국언론학회 52 (52): 85-116, 2008

3 박종순, "우리나라에서 경제성장률과 실업률이 자살률에 미치는 영향" 대한예방의학회 36 (36): 11-91, 2003

4 Luxton DD, "mHealth for Mental Health: Integrating Smartphone Technology in Behavioral Healthcare" 42 : 505-512, 2011

5 Saxena S, "World health assembly adopts comprehensive mental health action plan 2013-2020" 381 : 1970-1971, 2013

6 Chang SS, "Was the economic crisis 1997-1998 responsible for rising suicide rates in East/Southeast Asia? A time-trend analysis for Japan, Hong Kong, South Korea, Taiwan, Singapore and Thailand" 68 : 1322-1331, 2009

7 Maldonado G, "Variation in suicide occurrence by time of day, day of the week, month, and lunar phase" 21 : 174-187, 1991

8 Platt S, "Unemployment and suicidal behaviour: a review of the literature" 19 : 93-115, 1984

9 Wilson SH, "Unemployment and health: a review" 107 : 153-162, 1993

10 Bollen J, "Twitter mood predicts the stock market" 2 : 1-8, 2011

11 임달오, "Trends in the Leading Causes of Death in Korea, 1983-2012" 대한의학회 29 (29): 1597-1603, 2014

12 Wada K, "Trends in cause specific mortality across occupations in Japanese men of working age during period of economic stagnation, 1980-2005: retrospective cohort study" 344 : e1191-, 2012

13 Jashinsky J, "Tracking suicide risk factors through Twitter in the US" 35 : 51-59, 2014

14 Gavrilova NS, "The response of violent mortality to economic crisis in Russia" 19 : 397-419, 2000

15 Stuckler D, "The public health effect of economic crises and alternative policy responses in Europe: an empirical analysis" 374 : 315-323, 2009

16 Phillips DP, "The influence of suggestion on suicide: substantive and theoretical implications of the Werther effect" 39 : 340-354, 1974

17 Jin RL, "The impact of unemployment on health: a review of the evidence" 153 : 529-540, 1995

18 Berk M, "The effect of macroeconomic variables on suicide" 36 : 181-189, 2006

19 Jobes DA, "The Kurt Cobain suicide crisis: perspectives from research, public health, and the news media" 26 : 260-269, 1996

20 Lester D, "Temporal variation in suicide and homicide" 109 : 517-520, 1979

21 Tsai JF, "Temperature change dominates the suicidal seasonality in Taiwan: a time-series analysis" 136 : 412-418, 2012

22 Krysinska KE, "Telecommunication and suicide prevention: hopes and challenges for the new century" 55 : 237-253, 2007

23 Luxton DD, "Technology-based suicide prevention: current applications and future directions" 17 : 50-54, 2011

24 Intille SS, "Technological Innovations Enabling Automatic, Context-Sensitive Ecological Momentary Assessment;The Science of Real-Time Data Capture: Self-Reports in Health Research" 308-337, 2007

25 Large M, "Systematic review and meta-analysis of the clinical factors associated with the suicide of psychiatric in-patients" 124 : 18-29, 2011

26 Mann JJ, "Suicide prevention strategies: a systematic review" 294 : 2064-2074, 2005

27 Gould MS, "Suicide and the media" 932 : 200-221, 2001

28 Inoue K, "Study of an economic issue as a possible indicator of suicide risk: a discussion of stock prices and suicide" 57 : 783-785, 2012

29 Watts J, "Seoul - Suicide rate rises as South Korea's economy falters" 352 : 1365-1365, 1998

30 Caldwell CB, "Schizophrenics kill themselves too: a review of risk factors for suicide" 16 : 571-589, 1990

31 Page LA, "Relationship between daily suicide counts and temperature in England and Wales" 191 : 106-112, 2007

32 Woo H, "Public Trauma after the Sewol Ferry Disaster: The Role of Social Media in Understanding the Public Mood" 12 : 10974-10983, 2015

33 Zhang X, "Predicting stock market indicators through twitter "I hope it is not as bad as I fear"" 26 : 55-62, 2011

34 Won HH, "Predicting national suicide numbers with social media data" 8 : e61809-, 2013

35 Szumilas M, "Post-suicide intervention programs: a systematic review" 102 : 18-29, 2011

36 Bollen J, "Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena" 11 : 450-453, 2011

37 Whittaker R, "Mobile phone-based interventions for smoking cessation" 11 : 2012

38 Harrison V, "Mobile mental health: review of the emerging field and proof of concept study" 20 : 509-524, 2011

39 Burnap P, "Machine classification and analysis of suicide-related communication on twitter" 75-84, 2015

40 Milner A, "Long-term unemployment and suicide: a systematic review and meta-analysis" 8 : e51333-, 2013

41 Kelly J, "Intelligent real-time therapy: harnessing the power of machine learning to optimise the delivery of momentary cognitive-behavioural interventions" 21 : 404-414, 2012

42 Palmier-Claus JE, "Integrating mobile-phone based assessment for psychosis into people's everyday lives and clinical care: a qualitative study" 13 : 34-, 2013

43 Lambert G, "Increased suicide rate in the middle-aged and its association with hours of sunlight" 160 : 793-795, 2003

44 Economou M, "Increased suicidality amid economic crisis in Greece" 378 : 1459-, 2011

45 Chang SS, "Impact of 2008 global economic crisis on suicide: time trend study in 54 countries" 347 : f5239-, 2013

46 Huang YP, "Hunting suicide notes in web 2.0-preliminary findings" 517-521, 2007

47 OECD, "Health at a Glance 2015"

48 Moreno MA, "Feeling bad on Facebook: depression disclosures by college students on a social networking site" 28 : 447-455, 2011

49 Ceccherini-Nelli A, "Economic factors and suicide rates: associations over time in four countries" 46 : 975-982, 2011

50 O'Dea B, "Detecting suicidality on Twitter" 2 : 183-188, 2015

51 Kumar M, "Detecting changes in suicide content manifested in social media following celebrity suicides" 85-94, 2015

52 Fawcett J, "Clinical predictors of suicide in patients with major affective disorders: a controlled prospective study" 144 : 35-40, 1987

53 Kim H, "Changes in mortality after the recent economic crisis in South Korea" 14 : 442-446, 2004

54 Martin G, "Celebrity suicide: did the death of Kurt Cobain influence young suicides in Australia?" 3 : 187-198, 1997

55 Kim YH, "Association between daily environmental temperature and suicide mortality in Korea (2001-2005)" 186 : 390-396, 2011

56 Kim Y, "Association between air pollution and suicide in South Korea: a nationwide study" 10 : e0117929-, 2015

57 Cash SJ, "Adolescent suicide statements on MySpace" 16 : 166-174, 2013

58 Kramer I, "A therapeutic application of the experience sampling method in the treatment of depression: a randomized controlled trial" 13 : 68-77, 2014

59 Clifford AC, "A systematic review of suicide prevention interventions targeting indigenous peoples in Australia, United States, Canada and New Zealand" 13 : 463-, 2013

60 Robinson J, "A systematic review of school-based interventions aimed at preventing, treating, and responding to suicide- related behavior in young people" 34 : 164-182, 2013

61 Lapierre S, "A systematic review of elderly suicide prevention programs" 32 : 88-98, 2011

62 Yamashita T, "A stepwise AIC method for variable selection in linear regression" 36 : 2395-2403, 2007

63 Jeon SY, "A population-based analysis of increasing rates of suicide mortality in Japan and South Korea, 1985-2010" 16 : 356-, 2016

64 Kwon JW, "A closer look at the increase in suicide rates in South Korea from 1986-2005" 9 : 72-, 2009