메뉴 건너뛰기




Volumn 18, Issue 1, 2013, Pages 1-9

An overview of health forecasting

Author keywords

Forecasting horizon; Health forecasting; Health services; Prediction; Principles

Indexed keywords

DATA ANALYSIS; DISEASE SURVEILLANCE; FORECASTING; HEALTH CARE COST; HEALTH CARE NEED; HEALTH CARE PLANNING; HEALTH FORECASTING; HEALTH PROMOTION; HEALTH STATUS; MEASUREMENT ERROR; MEDICAL LITERATURE; MEDICAL SERVICE; PATIENT ASSESSMENT; PREDICTION; PROGNOSIS; REVIEW; SYSTEMATIC ERROR; UNCERTAINTY;

EID: 84878497081     PISSN: 1342078X     EISSN: 13474715     Source Type: Journal    
DOI: 10.1007/s12199-012-0294-6     Document Type: Review
Times cited : (132)

References (77)
  • 4
    • 38449114381 scopus 로고    scopus 로고
    • Hippocrates' influence on the origins of neurosurgery
    • 10.3171/FOC-07/07/E9
    • Chang A, Lad EM, Lad SP. Hippocrates' influence on the origins of neurosurgery. Neurosurg Focus. 2007;23(1):E9.
    • (2007) Neurosurg Focus , vol.23 , Issue.1 , pp. 9
    • Chang, A.1    Lad, E.M.2    Lad, S.P.3
  • 5
  • 7
    • 77954251031 scopus 로고    scopus 로고
    • Can a health forecasting service offer COPD patients a novel way to manage their condition?
    • 20453061 10.1258/jhsrp.2009.009035
    • Marno P, Chalder M, Laing-Morton T, Levy M, Sachon P, Halpin D. Can a health forecasting service offer COPD patients a novel way to manage their condition? J Health Serv Res Policy. 2010;15(3):150-5.
    • (2010) J Health Serv Res Policy , vol.15 , Issue.3 , pp. 150-155
    • Marno, P.1    Chalder, M.2    Laing-Morton, T.3    Levy, M.4    Sachon, P.5    Halpin, D.6
  • 8
    • 84878494701 scopus 로고    scopus 로고
    • Met-Office. The Met Office health forecasting services, Exeter Accessed 01 Jan 2009
    • Met-Office. The Met Office health forecasting services, Exeter. 2009. http://www.metoffice.gov.uk/health/. Accessed 01 Jan 2009.
    • (2009)
  • 9
    • 84878488571 scopus 로고    scopus 로고
    • WHO. Using climate to predict infectious disease epidemics World Health Organization. Geneva: World Health Organization
    • WHO. Using climate to predict infectious disease epidemics. In: Kuhn K, Campbell-Lendrum D, Haines A, Cox J, editors. World Health Organization. Geneva: World Health Organization; 2005.
    • (2005)
    • Kuhn, K.1    Campbell-Lendrum, D.2    Haines, A.3    Cox, J.4
  • 11
    • 70349971614 scopus 로고    scopus 로고
    • Decision making and planning under low levels of predictability
    • 10.1016/j.ijforecast.2009.05.013
    • Makridakis S, Taleb N. Decision making and planning under low levels of predictability. Int J Forecast. 2009;25(4):716-33.
    • (2009) Int J Forecast , vol.25 , Issue.4 , pp. 716-733
    • Makridakis, S.1    Taleb, N.2
  • 12
  • 15
    • 79952475808 scopus 로고    scopus 로고
    • WMO. Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation Geneva: World Meteorological Organization
    • WMO. Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation. In: Klein Tank AMG, Zwiers FW, Zhang X, editors. Climate data and monitoring. Geneva: World Meteorological Organization; 2009.
    • (2009) Climate Data and Monitoring
    • Tank Amg, K.1    Zwiers, F.W.2    Zhang, X.3
  • 16
    • 0021516229 scopus 로고
    • Death and taxes: A contrary view
    • 2
    • Manton KG, Soldo BJ, Vierck E. "Death and taxes": a contrary view. Popul Today. 1984;12(11):2, 8-9.
    • (1984) Popul Today , vol.12 , Issue.11 , pp. 8-9
    • Manton, K.G.1    Soldo, B.J.2    Vierck, E.3
  • 17
    • 0020186016 scopus 로고
    • Population trends and the status of population policy in Africa
    • 10.1080/00221348208980723 1:STN:280:DC%2BD38rivVKqtw%3D%3D
    • Rogge JR. Population trends and the status of population policy in Africa. J Geogr. 1982;81(5):164-74.
    • (1982) J Geogr , vol.81 , Issue.5 , pp. 164-174
    • Rogge, J.R.1
  • 18
    • 33745962408 scopus 로고    scopus 로고
    • The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion
    • 10.1016/j.ijforecast.2006.03.002
    • Fildes R. The forecasting journals and their contribution to forecasting research: citation analysis and expert opinion. Int J Forecast. 2006;22(3):415-32.
    • (2006) Int J Forecast , vol.22 , Issue.3 , pp. 415-432
    • Fildes, R.1
  • 19
    • 84878500695 scopus 로고    scopus 로고
    • Demand forecasting: Evidence-based methods
    • Department of Econometrics and Business Statistics, Monash University, Australia
    • Armstrong JS, Green KC. Demand forecasting: evidence-based methods. In: Working Paper 24/05, Demandforecasting35-Monashdoc. Department of Econometrics and Business Statistics, Monash University, Australia; 2005.
    • (2005) Working Paper 24/05, Demandforecasting35-Monashdoc
    • Armstrong, J.S.1    Green, K.C.2
  • 20
    • 58949092119 scopus 로고    scopus 로고
    • Effective forecasting and judgmental adjustments: An empirical evaluation and strategies for improvement in supply-chain planning
    • 10.1016/j.ijforecast.2008.11.010
    • Fildes R, Goodwin P, Lawrence M, Nikolopoulos K. Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning. Int J Forecast. 2009;25(1):3-23.
    • (2009) Int J Forecast , vol.25 , Issue.1 , pp. 3-23
    • Fildes, R.1    Goodwin, P.2    Lawrence, M.3    Nikolopoulos, K.4
  • 21
    • 33745954507 scopus 로고    scopus 로고
    • Judgmental forecasting: A review of progress over the last 25 years
    • 10.1016/j.ijforecast.2006.03.007
    • Lawrence M, Goodwin P, O'Connor M, Önkal D. Judgmental forecasting: a review of progress over the last 25 years. Int J Forecast. 2006;22(3):493-518.
    • (2006) Int J Forecast , vol.22 , Issue.3 , pp. 493-518
    • Lawrence, M.1    Goodwin, P.2    O'Connor, M.3    Önkal, D.4
  • 22
    • 0002052419 scopus 로고    scopus 로고
    • The role and validity of judgment in forecasting
    • 10.1016/0169-2070(96)00674-7
    • Wright G, Lawrence MJ, Collopy F. The role and validity of judgment in forecasting. Int J Forecast. 1996;12(1):1-8.
    • (1996) Int J Forecast , vol.12 , Issue.1 , pp. 1-8
    • Wright, G.1    Lawrence, M.J.2    Collopy, F.3
  • 23
    • 1542317621 scopus 로고    scopus 로고
    • Relationships between the seasonality of temperature and ischaemic heart disease mortality: Implications for climate based health forecasting
    • 10.3354/cr025253
    • McGregor GR, Watkin HA, Cox M. Relationships between the seasonality of temperature and ischaemic heart disease mortality: implications for climate based health forecasting. Clim Res. 2004;25(3):253-63.
    • (2004) Clim Res , vol.25 , Issue.3 , pp. 253-263
    • McGregor, G.R.1    Watkin, H.A.2    Cox, M.3
  • 24
    • 77649296211 scopus 로고    scopus 로고
    • How different measures of cold weather affect chronic obstructive pulmonary disease (COPD) hospital admissions in London
    • 10.1183/09059180.00010126
    • Marno P, Bryden C, Bird W, Watkin HA. How different measures of cold weather affect chronic obstructive pulmonary disease (COPD) hospital admissions in London. Eur Respir Rev. 2006;15(101):185-6.
    • (2006) Eur Respir Rev , vol.15 , Issue.101 , pp. 185-186
    • Marno, P.1    Bryden, C.2    Bird, W.3    Watkin, H.A.4
  • 25
    • 84863940568 scopus 로고    scopus 로고
    • Forecasting diabetes prevalence in California: A microsimulation
    • 21672404 (Epub 2011 Jun 2015)
    • Shi L, van Meijgaard J, Fielding J. Forecasting diabetes prevalence in California: a microsimulation. Prev Chronic Dis. 2011;8(4):A80. (Epub 2011 Jun 2015).
    • (2011) Prev Chronic Dis , vol.8 , Issue.4 , pp. 80
    • Shi, L.1    Van Meijgaard, J.2    Fielding, J.3
  • 26
    • 66749130411 scopus 로고    scopus 로고
    • A systematic review of models for forecasting the number of emergency department visits
    • 19465606 10.1136/emj.2008.062380 1:STN:280:DC%2BD1MzmslKktg%3D%3D
    • Wargon M, Guidet B, Hoang TD, Hejblum G. A systematic review of models for forecasting the number of emergency department visits. Emerg Med J. 2009;26(6):395-9.
    • (2009) Emerg Med J , vol.26 , Issue.6 , pp. 395-399
    • Wargon, M.1    Guidet, B.2    Hoang, T.D.3    Hejblum, G.4
  • 28
    • 70349973981 scopus 로고    scopus 로고
    • Limits to forecasting in personalized medicine: An overview
    • 10.1016/j.ijforecast.2009.05.003
    • Ioannidis JPA. Limits to forecasting in personalized medicine: an overview. Int J Forecast. 2009;25(4):773-83.
    • (2009) Int J Forecast , vol.25 , Issue.4 , pp. 773-783
    • Ioannidis, J.P.A.1
  • 31
    • 48949116379 scopus 로고    scopus 로고
    • Forecasting emergency department crowding: A discrete event simulation
    • 18387699 10.1016/j.annemergmed.2007.12.011
    • Hoot NR, LeBlanc LJ, Jones I, Levin SR, Zhou C, Gadd CS, et al. Forecasting emergency department crowding: a discrete event simulation. Ann Emerg Med. 2008;52(2):116-25.
    • (2008) Ann Emerg Med , vol.52 , Issue.2 , pp. 116-125
    • Hoot, N.R.1    Leblanc, L.J.2    Jones, I.3    Levin, S.R.4    Zhou, C.5    Gadd, C.S.6
  • 32
    • 42949113080 scopus 로고    scopus 로고
    • The challenge of predicting demand for emergency department services
    • 18370987 10.1111/j.1553-2712.2008.00083.x
    • McCarthy ML, Zeger SL, Ding R, Aronsky D, Hoot NR, Kelen GD. The challenge of predicting demand for emergency department services. Acad Emerg Med. 2008;15(4):337-46.
    • (2008) Acad Emerg Med , vol.15 , Issue.4 , pp. 337-346
    • McCarthy, M.L.1    Zeger, S.L.2    Ding, R.3    Aronsky, D.4    Hoot, N.R.5    Kelen, G.D.6
  • 34
    • 84877116585 scopus 로고    scopus 로고
    • The forecasting classification grid: A typology for method selection
    • Gentry L, Calantone RJ, Cui SA. The forecasting classification grid: a typology for method selection. J Glob Bus Manag. 2006;2(1):48-60.
    • (2006) J Glob Bus Manag , vol.2 , Issue.1 , pp. 48-60
    • Gentry, L.1    Calantone, R.J.2    Cui, S.A.3
  • 36
    • 13844255673 scopus 로고    scopus 로고
    • What is syndromic surveillance?
    • 15714620
    • Henning KJ. What is syndromic surveillance? MMWR Morb Mortal Wkly Rep. 2004;53(Suppl):5-11.
    • (2004) MMWR Morb Mortal Wkly Rep , vol.53 , Issue.SUPPL. , pp. 5-11
    • Henning, K.J.1
  • 37
    • 84855970335 scopus 로고    scopus 로고
    • Statistical methods for the prospective detection of infectious disease outbreaks: A review
    • Unkel S, Farrington CP, Garthwaite PH, Robertson C, Andrews N. Statistical methods for the prospective detection of infectious disease outbreaks: a review. J R Stat Soc Ser A. 2011;175(1):49-82.
    • (2011) J R Stat Soc ser A , vol.175 , Issue.1 , pp. 49-82
    • Unkel, S.1    Farrington, C.P.2    Garthwaite, P.H.3    Robertson, C.4    Andrews, N.5
  • 38
    • 34548637081 scopus 로고    scopus 로고
    • Automated time series forecasting for biosurveillance
    • 17335120 10.1002/sim.2835
    • Burkom HS, Murphy SP, Shmueli G. Automated time series forecasting for biosurveillance. Stat Med. 2007;26(22):4202-18.
    • (2007) Stat Med , vol.26 , Issue.22 , pp. 4202-4218
    • Burkom, H.S.1    Murphy, S.P.2    Shmueli, G.3
  • 39
    • 65349185553 scopus 로고    scopus 로고
    • Healthcare via cell phones: A systematic review
    • 19382860 10.1089/tmj.2008.0099
    • Krishna S, Boren SA, Balas EA. Healthcare via cell phones: a systematic review. Telemed J E Health. 2009;15(3):231-40.
    • (2009) Telemed J e Health , vol.15 , Issue.3 , pp. 231-240
    • Krishna, S.1    Boren, S.A.2    Balas, E.A.3
  • 40
    • 77954228585 scopus 로고    scopus 로고
    • Implementing an emergency department patient admission predictive tool: Insights from practice
    • 20698405
    • Jessup M, Wallis M, Boyle J, Crilly J, Lind J, Green D, et al. Implementing an emergency department patient admission predictive tool: insights from practice. J Health Organ Manag. 2010;24(3):306-18.
    • (2010) J Health Organ Manag , vol.24 , Issue.3 , pp. 306-318
    • Jessup, M.1    Wallis, M.2    Boyle, J.3    Crilly, J.4    Lind, J.5    Green, D.6
  • 41
    • 79952097423 scopus 로고    scopus 로고
    • Framework for COPD forecasting in the UK using weather and climate change predictions
    • 10.1088/1755-1307/6/14/142021
    • Hemming D, Colman A, James P, Kaye N, Marno P, McNeall D, et al. Framework for COPD forecasting in the UK using weather and climate change predictions. IOP Conf Ser Earth Environ Sci. 2009;6:142021.
    • (2009) IOP Conf ser Earth Environ Sci , vol.6 , pp. 142021
    • Hemming, D.1    Colman, A.2    James, P.3    Kaye, N.4    Marno, P.5    McNeall, D.6
  • 42
    • 77957827729 scopus 로고    scopus 로고
    • Prediction model for demands of the health meteorological information using a decision tree method
    • 10.1016/S1976-1317(10)60015-1
    • Oh J, Kim B. Prediction model for demands of the health meteorological information using a decision tree method. Asian Nurs Res. 2010;4(3):151-62.
    • (2010) Asian Nurs Res , vol.4 , Issue.3 , pp. 151-162
    • Oh, J.1    Kim, B.2
  • 43
    • 74849110091 scopus 로고    scopus 로고
    • Assessing and forecasting population health: Integrating knowledge and beliefs in a comprehensive framework
    • 19894419
    • van Meijgaard J, Fielding JE, Kominski GF. Assessing and forecasting population health: integrating knowledge and beliefs in a comprehensive framework. Public Health Rep. 2009;124(6):778-89.
    • (2009) Public Health Rep , vol.124 , Issue.6 , pp. 778-789
    • Van Meijgaard, J.1    Fielding, J.E.2    Kominski, G.F.3
  • 44
    • 84878511734 scopus 로고    scopus 로고
    • Modeling and forecasting health expectancy: Theoretical framework and application
    • Network for Studies on Pensions, Aging and Retirement Accessed 01 Nov 2011
    • Majer I. Modeling and forecasting health expectancy: theoretical framework and application. In: Netspar Discussion Papers: 01/2011-009. Network for Studies on Pensions, Aging and Retirement. 2011. http://arno.uvt.nl/show. cgi?fid=113977. Accessed 01 Nov 2011.
    • (2011) Netspar Discussion Papers: 01/2011-009
    • Majer, I.1
  • 47
    • 84868289925 scopus 로고    scopus 로고
    • Evolving forecasting classifications and applications in health forecasting
    • 22615533
    • Soyiri IN, Reidpath DD. Evolving forecasting classifications and applications in health forecasting. Int J Gen Med. 2012;5(1):381-9.
    • (2012) Int J Gen Med , vol.5 , Issue.1 , pp. 381-389
    • Soyiri, I.N.1    Reidpath, D.D.2
  • 51
    • 4344591889 scopus 로고    scopus 로고
    • Neural network forecasting for seasonal and trend time series
    • 10.1016/j.ejor.2003.08.037
    • Zhang GP, Qi M. Neural network forecasting for seasonal and trend time series. Eur J Oper Res. 2005;160(2):501-14.
    • (2005) Eur J Oper Res , vol.160 , Issue.2 , pp. 501-514
    • Zhang, G.P.1    Qi, M.2
  • 52
    • 2942729708 scopus 로고    scopus 로고
    • Time series modeling for syndromic surveillance
    • 12542838 10.1186/1472-6947-3-2
    • Reis B, Mandl K. Time series modeling for syndromic surveillance. BMC Med Inform Decis Mak. 2003;3(1):2.
    • (2003) BMC Med Inform Decis Mak , vol.3 , Issue.1 , pp. 2
    • Reis, B.1    Mandl, K.2
  • 53
    • 70349250233 scopus 로고    scopus 로고
    • Forecasts using Box-Jenkins models for the ambient air quality data of Delhi City
    • 18819013
    • Sharma P, Chandra A, Kaushik SC. Forecasts using Box-Jenkins models for the ambient air quality data of Delhi City. Environ Monit Assess. 2008;157(1-4):105-12.
    • (2008) Environ Monit Assess , vol.157 , Issue.1-4 , pp. 105-112
    • Sharma, P.1    Chandra, A.2    Kaushik, S.C.3
  • 54
    • 33646170974 scopus 로고    scopus 로고
    • Seasonal variation of air pollution index: Hong Kong case study
    • 16325232 10.1016/j.chemosphere.2005.10.031 1:CAS:528:DC%2BD28XksVOjtr4%3D
    • Wang XK, Lu WZ. Seasonal variation of air pollution index: Hong Kong case study. Chemosphere. 2006;63(8):1261-72.
    • (2006) Chemosphere , vol.63 , Issue.8 , pp. 1261-1272
    • Wang, X.K.1    Lu, W.Z.2
  • 55
    • 33745941548 scopus 로고    scopus 로고
    • Findings from evidence-based forecasting: Methods for reducing forecast error
    • 10.1016/j.ijforecast.2006.04.006
    • Armstrong JS. Findings from evidence-based forecasting: methods for reducing forecast error. Int J Forecast. 2006;22(3):583-98.
    • (2006) Int J Forecast , vol.22 , Issue.3 , pp. 583-598
    • Armstrong, J.S.1
  • 56
    • 43149092148 scopus 로고    scopus 로고
    • Forecasting non-stationary diarrhea, acute respiratory infection, and malaria time-series in Niono, Mali
    • 18030322 10.1371/journal.pone.0001181
    • Medina DC, Findley SE, Guindo B, Doumbia S. Forecasting non-stationary diarrhea, acute respiratory infection, and malaria time-series in Niono, Mali. PLoS One. 2007;2(11):e1181.
    • (2007) PLoS One , vol.2 , Issue.11 , pp. 1181
    • Medina, D.C.1    Findley, S.E.2    Guindo, B.3    Doumbia, S.4
  • 57
    • 16244391136 scopus 로고    scopus 로고
    • Cardiorespiratory hospitalizations associated with smoke exposure during the 1997, Southeast Asian forest fires
    • 15881981 10.1016/j.ijheh.2005.01.018
    • Mott JA, Mannino DM, Alverson CJ, Kiyu A, Hashim J, Lee T, et al. Cardiorespiratory hospitalizations associated with smoke exposure during the 1997, Southeast Asian forest fires. Int J Hyg Environ Health. 2005;208(1-2):75-85.
    • (2005) Int J Hyg Environ Health , vol.208 , Issue.1-2 , pp. 75-85
    • Mott, J.A.1    Mannino, D.M.2    Alverson, C.J.3    Kiyu, A.4    Hashim, J.5    Lee, T.6
  • 58
    • 0036071568 scopus 로고    scopus 로고
    • A state space framework for automatic forecasting using exponential smoothing methods
    • 10.1016/S0169-2070(01)00110-8
    • Hyndman RJ, Koehler AB, Snyder RD, Grose S. A state space framework for automatic forecasting using exponential smoothing methods. Int J Forecast. 2002;18(3):439-54.
    • (2002) Int J Forecast , vol.18 , Issue.3 , pp. 439-454
    • Hyndman, R.J.1    Koehler, A.B.2    Snyder, R.D.3    Grose, S.4
  • 59
    • 84925105967 scopus 로고    scopus 로고
    • Cambridge Press New York 10.1017/CBO9780511754098
    • Koenker R. Quantile regression. New York: Cambridge Press; 2005.
    • (2005) Quantile Regression
    • Koenker, R.1
  • 61
    • 0142042364 scopus 로고    scopus 로고
    • Quantile regression: Applications and current research areas
    • 10.1111/1467-9884.00363
    • Yu K, Lu Z, Stander J. Quantile regression: applications and current research areas. J R Stat Soc Ser D. 2003;52(3):331-50.
    • (2003) J R Stat Soc ser D , vol.52 , Issue.3 , pp. 331-350
    • Yu, K.1    Lu, Z.2    Stander, J.3
  • 62
    • 84878516093 scopus 로고    scopus 로고
    • Predicting extreme asthma events in London using quantile regression models
    • 10.3134/ehtj.10.162:39-40
    • Soyiri IN, Reidpath DD. Predicting extreme asthma events in London using quantile regression models. Emerg Health Threats J. 2011;4:s162. doi: 10.3134/ehtj.10.162:39-40.
    • (2011) Emerg Health Threats J , vol.4 , pp. 162
    • Soyiri, I.N.1    Reidpath, D.D.2
  • 63
    • 79959942935 scopus 로고    scopus 로고
    • Assessing the suitability of fractional polynomial methods in health services research: A perspective on the categorization epidemic
    • 21543382 10.1258/jhsrp.2010.010063
    • Williams JS. Assessing the suitability of fractional polynomial methods in health services research: a perspective on the categorization epidemic. J Health Serv Res Policy. 2011;16(3):147-52.
    • (2011) J Health Serv Res Policy , vol.16 , Issue.3 , pp. 147-152
    • Williams, J.S.1
  • 66
    • 20844443533 scopus 로고    scopus 로고
    • Placing emergency department crowding on the decision agenda
    • 15983577 10.1016/j.jen.2005.04.007
    • Bradley VM. Placing emergency department crowding on the decision agenda. J Emerg Nurs. 2005;31(3):247-58.
    • (2005) J Emerg Nurs , vol.31 , Issue.3 , pp. 247-258
    • Bradley, V.M.1
  • 67
    • 0036194790 scopus 로고    scopus 로고
    • Overcrowding in emergency departments: Increased demand and decreased capacity
    • 11919530 10.1067/mem.2002.122707
    • Derlet RW. Overcrowding in emergency departments: increased demand and decreased capacity. Ann Emerg Med. 2002;39(4):430-2.
    • (2002) Ann Emerg Med , vol.39 , Issue.4 , pp. 430-432
    • Derlet, R.W.1
  • 68
    • 0034840333 scopus 로고    scopus 로고
    • Changing patterns of hospital admission for asthma, 1981-97
    • 11514688 10.1136/thorax.56.9.687 1:STN:280:DC%2BD3MvmvF2jsQ%3D%3D
    • Morrison DS, McLoone P. Changing patterns of hospital admission for asthma, 1981-97. Thorax. 2001;56(9):687-90.
    • (2001) Thorax , vol.56 , Issue.9 , pp. 687-690
    • Morrison, D.S.1    McLoone, P.2
  • 69
    • 0036196810 scopus 로고    scopus 로고
    • Trends in the use and capacity of California's emergency departments, 1990-1999
    • 11919525 10.1067/mem.2002.122433
    • Lambe S, Washington DL, Fink A, Herbst K, Liu H, Fosse JS, et al. Trends in the use and capacity of California's emergency departments, 1990-1999. Ann Emerg Med. 2002;39(4):389-96.
    • (2002) Ann Emerg Med , vol.39 , Issue.4 , pp. 389-396
    • Lambe, S.1    Washington, D.L.2    Fink, A.3    Herbst, K.4    Liu, H.5    Fosse, J.S.6
  • 70
    • 80355136510 scopus 로고    scopus 로고
    • Asthma length of stay in hospitals in London 2001-2006: Demographic, diagnostic and temporal factors
    • 22073282 10.1371/journal.pone.0027184 1:CAS:528:DC%2BC3MXhsFSiurbM
    • Soyiri IN, Reidpath DD, Sarran C. Asthma length of stay in hospitals in London 2001-2006: demographic, diagnostic and temporal factors. PLoS One. 2011;6(11):e27184.
    • (2011) PLoS One , vol.6 , Issue.11 , pp. 27184
    • Soyiri, I.N.1    Reidpath, D.D.2    Sarran, C.3
  • 71
    • 15944390658 scopus 로고    scopus 로고
    • Algorithms for rapid outbreak detection: A research synthesis
    • 15797000 10.1016/j.jbi.2004.11.007
    • Buckeridge DL, Burkom H, Campbell M, Hogan WR, Moore AW. Algorithms for rapid outbreak detection: a research synthesis. J Biomed Inform. 2005;38(2):99-113.
    • (2005) J Biomed Inform , vol.38 , Issue.2 , pp. 99-113
    • Buckeridge, D.L.1    Burkom, H.2    Campbell, M.3    Hogan, W.R.4    Moore, A.W.5
  • 72
    • 60849094469 scopus 로고    scopus 로고
    • Forecasting daily attendances at an emergency department to aid resource planning
    • 19178716 10.1186/1471-227X-9-1 1:CAS:528:DC%2BC3cXltVyjs7Y%3D
    • Sun Y, Heng B, Seow Y, Seow E. Forecasting daily attendances at an emergency department to aid resource planning. BMC Emerg Med. 2009;9(1):1.
    • (2009) BMC Emerg Med , vol.9 , Issue.1 , pp. 1
    • Sun, Y.1    Heng, B.2    Seow, Y.3    Seow, E.4
  • 75
    • 0033827268 scopus 로고    scopus 로고
    • Forecasting disease risk for increased epidemic preparedness in public health
    • 10997211 10.1016/S0065-308X(00)47013-2 1:STN:280:DC%2BD3cvks1GrsA%3D%3D
    • Myers MF, Rogers DJ, Cox J, Flahault A, Hay SI. Forecasting disease risk for increased epidemic preparedness in public health. Adv Parasitol. 2000;47:309-30.
    • (2000) Adv Parasitol , vol.47 , pp. 309-330
    • Myers, M.F.1    Rogers, D.J.2    Cox, J.3    Flahault, A.4    Hay, S.I.5
  • 76
    • 77952303149 scopus 로고    scopus 로고
    • Patients' and staffs' experiences of an automated telephone weather forecasting service
    • 20147423 10.1258/jhsrp.2009.009101
    • Cooper R, O'Hara R. Patients' and staffs' experiences of an automated telephone weather forecasting service. J Health Serv Res Policy. 2010;15(Suppl 2):41-6.
    • (2010) J Health Serv Res Policy , vol.15 , Issue.SUPPL. 2 , pp. 41-46
    • Cooper, R.1    O'Hara, R.2
  • 77
    • 77649319832 scopus 로고    scopus 로고
    • Evaluation of the impact of a health forecast alert service on admissions for chronic obstructive pulmonary disease in Bradford and Airedale
    • Maheswaran R, Pearson T, Hoysal N, Campbell MJ. Evaluation of the impact of a health forecast alert service on admissions for chronic obstructive pulmonary disease in Bradford and Airedale. J Public Health. 2009;32(1):97-102.
    • (2009) J Public Health , vol.32 , Issue.1 , pp. 97-102
    • Maheswaran, R.1    Pearson, T.2    Hoysal, N.3    Campbell, M.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.