메뉴 건너뛰기




Volumn 140, Issue 5, 2012, Pages 851-857

Prevalence of haemorrhagic fever with renal syndrome in mainland China: Analysis of National Surveillance Data, 2004-2009

Author keywords

Epidemics; geographical information systems; haemorrhagic fever with renal syndrome; infectious disease epidemiology

Indexed keywords

ADULT; ARTICLE; CHINA; CONTROLLED STUDY; DEMOGRAPHY; DISEASE SURVEILLANCE; ENDEMIC DISEASE; FEMALE; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC INFORMATION SYSTEM; HEMORRHAGIC FEVER WITH RENAL SYNDROME; HIGH RISK POPULATION; HUMAN; ILLNESS TRAJECTORY; INCIDENCE; INFECTION RATE; INFECTION RISK; MAJOR CLINICAL STUDY; MALE; PREVALENCE;

EID: 84859341652     PISSN: 09502688     EISSN: 14694409     Source Type: Journal    
DOI: 10.1017/S0950268811001063     Document Type: Article
Times cited : (29)

References (28)
  • 2
    • 0023804905 scopus 로고
    • Association of intraspecific wounding with hantaviral infection in wild rats (Rattus norvegicus)
    • Glass GE, et al. Association of intraspecific wounding with hantaviral infection in wild rats (Rattus norvegicus). Epidemiology and Infection 1988; 101: 459-472.
    • (1988) Epidemiology and Infection , vol.101 , pp. 459-472
    • Glass, G.E.1
  • 3
    • 73949099251 scopus 로고    scopus 로고
    • Spatiotemporal dynamics of hemorrhagic fever with renal syndrome, Beijing, People's Republic of China
    • Fang LQ, et al. Spatiotemporal dynamics of hemorrhagic fever with renal syndrome, Beijing, People's Republic of China. Emerging Infectious Diseases 2009; 15: 2043-2045.
    • (2009) Emerging Infectious Diseases , vol.15 , pp. 2043-2045
    • Fang, L.Q.1
  • 4
    • 21644475026 scopus 로고    scopus 로고
    • The epidemic characteristics and preventive measures of hemorrhagic fever with renal syndrome in China
    • Zhang YZ, et al. The epidemic characteristics and preventive measures of hemorrhagic fever with renal syndrome in China. Chinese Journal of Epidemiology 2004; 25: 466-469.
    • (2004) Chinese Journal of Epidemiology , vol.25 , pp. 466-469
    • Zhang, Y.Z.1
  • 5
    • 0036980076 scopus 로고    scopus 로고
    • Emerging viruses : The case 'hantavirus'
    • Ulrich R, et al. Emerging viruses : The case 'hantavirus'. Intervirology 2002; 45:318-322.
    • (2002) Intervirology , vol.45 , pp. 318-322
    • Ulrich, R.1
  • 8
    • 33646893252 scopus 로고    scopus 로고
    • Spatial analysis of hemorrhagic fever with renal syndrome in China
    • Fang LQ, et al. Spatial analysis of hemorrhagic fever with renal syndrome in China. BMC Infectious Diseases 2006; 6: 1-10.
    • (2006) BMC Infectious Diseases , vol.6 , pp. 1-10
    • Fang, L.Q.1
  • 10
    • 3042517461 scopus 로고    scopus 로고
    • Investigation of clusters of giardiasis using GIS and a spatial scan statistic
    • Odoi A, et al. Investigation of clusters of giardiasis using GIS and a spatial scan statistic. International Journal of Health Geographics 2004; 3: 11-21.
    • (2004) International Journal of Health Geographics , vol.3 , pp. 11-21
    • Odoi, A.1
  • 11
    • 0019491392 scopus 로고
    • Finding causes of seasonal diseases using time series analysis
    • Bowie C, Prothero D. Finding causes of seasonal diseases using time series analysis. International Journal of Epidemiology 1981; 10: 87-92. (Pubitemid 11095388)
    • (1981) International Journal of Epidemiology , vol.10 , Issue.1 , pp. 87-92
    • Bowie, C.1    Prothero, D.2
  • 12
    • 0025918751 scopus 로고
    • The use of transfer function models, intervention analysis and related time series methods in epidemiology
    • Helfenstein U. The use of transfer function models, intervention analysis and related time series methods in epidemiology. International Journal of Epidemiology 1991; 20: 87-92.
    • (1991) International Journal of Epidemiology , vol.20 , pp. 87-92
    • Helfenstein, U.1
  • 13
    • 0031753106 scopus 로고    scopus 로고
    • Use of time-series analysis in infectious disease surveillance
    • Allard R. Use of time-series analysis in infectious disease surveillance. Bulletin of the World Health Organization 1998; 76: 327-333. (Pubitemid 28469265)
    • (1998) Bulletin of the World Health Organization , vol.76 , Issue.4 , pp. 327-333
    • Allard, R.1
  • 15
    • 44849103686 scopus 로고    scopus 로고
    • Models for short term malaria prediction in Sri Lanka
    • Briet OJT, et al. Models for short term malaria prediction in Sri Lanka. Malaria Journal 2008; 7: 1-11.
    • (2008) Malaria Journal , vol.7 , pp. 1-11
    • Ojt, B.1
  • 16
    • 57649193558 scopus 로고    scopus 로고
    • Time series analysis of dengue incidence in Rio de Janeiro, Brazil
    • Luz PM, et al. Time series analysis of dengue incidence in Rio de Janeiro, Brazil. American Journal of Tropical Medicine and Hygiene 2008; 79: 933-939.
    • (2008) American Journal of Tropical Medicine and Hygiene , vol.79 , pp. 933-939
    • Luz, P.M.1
  • 18
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike H. A new look at the statistical model identification. IEEE Transactions on Automatic Control 1974; AC-19: 716-723.
    • (1974) IEEE Transactions on Automatic Control , vol.AC-19 , pp. 716-723
    • Akaike, H.1
  • 20
    • 80052645154 scopus 로고    scopus 로고
    • Epidemiological analysis of hemorrhagic fever with renal syndrome in China from 2004 to 2005
    • Wang XF, et al. Epidemiological analysis of hemorrhagic fever with renal syndrome in China from 2004 to 2005. Disease Surveillance 2007; 22: 307-309.
    • (2007) Disease Surveillance , vol.22 , pp. 307-309
    • Wang, X.F.1
  • 21
    • 84857194034 scopus 로고    scopus 로고
    • Epidemiology and surveillance programs on hemorrhagic fever with renal syndrome in Mainland China, 2005-2008
    • Wang Q, et al. Epidemiology and surveillance programs on hemorrhagic fever with renal syndrome in Mainland China, 2005-2008. Chinese Journal of Epidemiology 2010; 31: 675-680.
    • (2010) Chinese Journal of Epidemiology , vol.31 , pp. 675-680
    • Wang, Q.1
  • 22
    • 84859344539 scopus 로고    scopus 로고
    • Epidemiological analysis of hemorrhagic fever with renal syndrome and control status
    • Yan YC, et al. Epidemiological analysis of hemorrhagic fever with renal syndrome and control status. China Tropical Medicine 2008; 8: 465-467.
    • (2008) China Tropical Medicine , vol.8 , pp. 465-467
    • Yan, Y.C.1
  • 23
    • 67349145461 scopus 로고    scopus 로고
    • Analysis on the epidemic of hemorrhagic fever with renal syndrome in China from 1991 to 2005
    • Guo SH, Gao LD. Analysis on the epidemic of hemorrhagic fever with renal syndrome in China from 1991 to 2005. Preventive Medicine Tribune 2007; 13: 359-361.
    • (2007) Preventive Medicine Tribune , vol.13 , pp. 359-361
    • Guo, S.H.1    Gao, L.D.2
  • 24
    • 0021860898 scopus 로고
    • Epidemiological studies of hemorrhagic fever with renal syndrome: Analysis of risk factors and mode of transmission
    • Xu ZY, et al. Epidemiological studies of hemorrhagic fever with renal syndrome: analysis of risk factors and mode of transmission. Journal of Infectious Diseases 1985; 152: 137-144. (Pubitemid 15038845)
    • (1985) Journal of Infectious Diseases , vol.152 , Issue.1 , pp. 137-144
    • Xu, Z.Y.1    Guo, C.S.2    Wu, Y.L.3
  • 25
    • 0028090279 scopus 로고
    • Use of poisson regression and time series analysis for detecting changes over time in rates of child injury following a prevention program
    • Kuhn L, et al. Use of poisson regression and time series analysis for detecting changes over time in rates of child injury following a prevention program. American Journal of Epidemiology 1994; 140: 943-955. (Pubitemid 24355558)
    • (1994) American Journal of Epidemiology , vol.140 , Issue.10 , pp. 943-955
    • Kuhn, L.1    Davidson, L.L.2    Durkin, M.S.3
  • 27
    • 80052629689 scopus 로고    scopus 로고
    • Appling grey swing model to predict the incidence trend of hemorrhagic fever with renal syndrome in Shenyang
    • Guo LC, et al. Appling grey swing model to predict the incidence trend of hemorrhagic fever with renal syndrome in Shenyang. Journal of China Medical University 2008; 37: 839-842.
    • (2008) Journal of China Medical University , vol.37 , pp. 839-842
    • Guo, L.C.1
  • 28
    • 77954997956 scopus 로고    scopus 로고
    • Prediction for incidence of hemorrhagic fever with renal syndrome with back propagation artificial neural network model
    • Wu ZM, et al. Prediction for incidence of hemorrhagic fever with renal syndrome with back propagation artificial neural network model. Chinese Journal of Vector Biology & Control 2006; 17: 223-226.
    • (2006) Chinese Journal of Vector Biology & Control , vol.17 , pp. 223-226
    • Wu, Z.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.