메뉴 건너뛰기




Volumn 23, Issue 6, 2007, Pages 243-246

Early warning systems for malaria in Africa: from blueprint to practice

Author keywords

[No Author keywords available]

Indexed keywords

AFRICA; BOTSWANA; CLIMATE CHANGE; EPIDEMIC; FORECASTING; HEALTH SURVEY; MALARIA; MALARIA CONTROL; MORBIDITY; MORTALITY; SHORT SURVEY; STATISTICAL MODEL; WORLD HEALTH ORGANIZATION;

EID: 34248640148     PISSN: 14714922     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pt.2007.03.008     Document Type: Short Survey
Times cited : (44)

References (26)
  • 1
    • 33749996767 scopus 로고    scopus 로고
    • Malaria epidemics and interventions, Kenya, Burundi, southern Sudan and Ethiopia, 1999-2004
    • Checchi F., et al. Malaria epidemics and interventions, Kenya, Burundi, southern Sudan and Ethiopia, 1999-2004. Emerg. Infect. Dis. 12 (2006) 1477-1485
    • (2006) Emerg. Infect. Dis. , vol.12 , pp. 1477-1485
    • Checchi, F.1
  • 2
    • 34248638328 scopus 로고    scopus 로고
    • WHO-RBM (2002) Prevention and Control of Malaria Epidemics (WHO/CDS/RBM/2002.40). World Health Organization-Roll Back Malaria (http://www.who.int/malaria/cmc_upload/0/000/015/827/3epidemics_report.pdf)
  • 3
    • 34248679754 scopus 로고    scopus 로고
    • WHO-RBM (2001) Malaria early warning systems - concepts, indicators and partners. A framework for field research in Africa (WHO/CDS/RBM/2001.32). World Health Organization-Roll Back Malaria (http://www.who.int/malaria/cmc_upload/0/000/014/807/mews2.pdf)
  • 4
    • 34248646918 scopus 로고    scopus 로고
    • WHO (2004) Malaria epidemics: forecasting, prevention, early detection and control: from policy to practice, 48. World Health Organization (http://www.who.int/malaria/docs/Leysinreport.pdf)
  • 5
    • 31844441325 scopus 로고    scopus 로고
    • Malaria early warnings based on seasonal climate forecasts from multi-model ensembles
    • Thomson M.C., et al. Malaria early warnings based on seasonal climate forecasts from multi-model ensembles. Nature 439 (2006) 576-579
    • (2006) Nature , vol.439 , pp. 576-579
    • Thomson, M.C.1
  • 6
    • 24644446404 scopus 로고    scopus 로고
    • Use of rainfall and sea surface temperature monitoring for malaria early warning in Botswana
    • Thomson M.C., et al. Use of rainfall and sea surface temperature monitoring for malaria early warning in Botswana. Am. J. Trop. Med. Hyg. 73 (2005) 214-221
    • (2005) Am. J. Trop. Med. Hyg. , vol.73 , pp. 214-221
    • Thomson, M.C.1
  • 7
    • 0033827268 scopus 로고    scopus 로고
    • Forecasting disease risk for increased epidemic preparedness in public health
    • Myers M.F., et al. Forecasting disease risk for increased epidemic preparedness in public health. Adv. Parasitol. 47 (2000) 309-330
    • (2000) Adv. Parasitol. , vol.47 , pp. 309-330
    • Myers, M.F.1
  • 8
    • 0036113912 scopus 로고    scopus 로고
    • Defining and detecting malaria epidemics in the highlands of western Kenya
    • Hay S.I., et al. Defining and detecting malaria epidemics in the highlands of western Kenya. Emerg. Infect. Dis. 8 (2002) 555-562
    • (2002) Emerg. Infect. Dis. , vol.8 , pp. 555-562
    • Hay, S.I.1
  • 9
    • 6044234396 scopus 로고    scopus 로고
    • Malaria epidemic early warning and detection in African highlands
    • Abeku T.A., et al. Malaria epidemic early warning and detection in African highlands. Trends Parasitol. 20 (2004) 400-405
    • (2004) Trends Parasitol. , vol.20 , pp. 400-405
    • Abeku, T.A.1
  • 10
    • 12244306285 scopus 로고    scopus 로고
    • Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia II. Weather-based prediction systems perform comparably to early detection systems in identifying times for interventions
    • Teklehaimanot H.D., et al. Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia II. Weather-based prediction systems perform comparably to early detection systems in identifying times for interventions. Malaria J. 3 (2004) 44
    • (2004) Malaria J. , vol.3 , pp. 44
    • Teklehaimanot, H.D.1
  • 11
    • 0036401266 scopus 로고    scopus 로고
    • Forecasting malaria incidence from historical morbidity patterns in epidemic-prone areas of Ethiopia: a simple seasonal adjustment method performs best
    • Abeku T.A., et al. Forecasting malaria incidence from historical morbidity patterns in epidemic-prone areas of Ethiopia: a simple seasonal adjustment method performs best. Trop. Med. Int. Health 7 (2002) 851-857
    • (2002) Trop. Med. Int. Health , vol.7 , pp. 851-857
    • Abeku, T.A.1
  • 12
    • 0036164985 scopus 로고    scopus 로고
    • Tools from ecology: useful for evaluating infection risk models?
    • Brooker S., et al. Tools from ecology: useful for evaluating infection risk models?. Trends Parasitol. 18 (2002) 70-74
    • (2002) Trends Parasitol. , vol.18 , pp. 70-74
    • Brooker, S.1
  • 13
    • 33947239379 scopus 로고    scopus 로고
    • The uncertain burden of epidemics of Plasmodium falciparum in Africa
    • Cox J., et al. The uncertain burden of epidemics of Plasmodium falciparum in Africa. Trends Parasitol. 23 (2007) 142-148
    • (2007) Trends Parasitol. , vol.23 , pp. 142-148
    • Cox, J.1
  • 14
    • 0033012577 scopus 로고    scopus 로고
    • Rainfall pattern, El Niño and malaria in Uganda
    • Kilian A.H.D., et al. Rainfall pattern, El Niño and malaria in Uganda. Trans. R. Soc. Trop. Med. Hyg. 93 (1999) 22-23
    • (1999) Trans. R. Soc. Trop. Med. Hyg. , vol.93 , pp. 22-23
    • Kilian, A.H.D.1
  • 15
    • 34248631816 scopus 로고    scopus 로고
    • Cox, J.S. et al. (1999) Mapping malaria risk in the highlands of Africa. Mapping Malaria Risk in Africa/Highland Malaria Project (MARA/HIMAL) Technical Report, MARA, Durban and London School of Hygiene and Tropical Medicine (http://www.lshtm.ac.uk/dcvbu/himal/Documents/HIMALReport.pdf)
  • 16
    • 0142090622 scopus 로고    scopus 로고
    • Spatial and temporal variations of malaria epidemic risk in Ethiopia: factors involved and implications
    • Abeku T.A., et al. Spatial and temporal variations of malaria epidemic risk in Ethiopia: factors involved and implications. Acta Trop. 87 (2003) 331-340
    • (2003) Acta Trop. , vol.87 , pp. 331-340
    • Abeku, T.A.1
  • 17
    • 0034254947 scopus 로고    scopus 로고
    • Etiology of interepidemic periods of mosquito-borne disease
    • Hay S.I., et al. Etiology of interepidemic periods of mosquito-borne disease. Proc. Natl. Acad. Sci. U. S. A. 97 (2000) 9335-9339
    • (2000) Proc. Natl. Acad. Sci. U. S. A. , vol.97 , pp. 9335-9339
    • Hay, S.I.1
  • 18
    • 0038663115 scopus 로고    scopus 로고
    • Forecasting, warning, and detection of malaria epidemics: a case study
    • Hay S.I., et al. Forecasting, warning, and detection of malaria epidemics: a case study. Lancet 361 (2003) 1705-1706
    • (2003) Lancet , vol.361 , pp. 1705-1706
    • Hay, S.I.1
  • 19
    • 33644658109 scopus 로고    scopus 로고
    • Probabilistic prediction of climate using multi-model ensembles: from basics to applications
    • Palmer T., et al. Probabilistic prediction of climate using multi-model ensembles: from basics to applications. Philos. Trans. R. Soc. B: Biol. Sci. 360 (2005) 1991-1998
    • (2005) Philos. Trans. R. Soc. B: Biol. Sci. , vol.360 , pp. 1991-1998
    • Palmer, T.1
  • 20
    • 5544233810 scopus 로고    scopus 로고
    • A weather-driven model of malaria transmission
    • Hoshen M.B., and Morse A.P. A weather-driven model of malaria transmission. Malaria J. 3 (2004) 32
    • (2004) Malaria J. , vol.3 , pp. 32
    • Hoshen, M.B.1    Morse, A.P.2
  • 21
    • 23644441340 scopus 로고    scopus 로고
    • Refractory periods and climate forcing in cholera dynamics
    • Koelle K., et al. Refractory periods and climate forcing in cholera dynamics. Nature 436 (2005) 696-700
    • (2005) Nature , vol.436 , pp. 696-700
    • Koelle, K.1
  • 22
    • 0003220545 scopus 로고    scopus 로고
    • A stochastic model for extinction and recurrence of epidemics: estimation and inference for measles outbreaks
    • Finkenstadt B.F., et al. A stochastic model for extinction and recurrence of epidemics: estimation and inference for measles outbreaks. Biostatistics 3 (2002) 493-510
    • (2002) Biostatistics , vol.3 , pp. 493-510
    • Finkenstadt, B.F.1
  • 23
    • 0036590892 scopus 로고    scopus 로고
    • Dynamics of measles epidemics: estimating scaling of transmission rates using a time series SIR model
    • Bjornstad O.N., et al. Dynamics of measles epidemics: estimating scaling of transmission rates using a time series SIR model. Ecol. Monogr. 72 (2002) 169-184
    • (2002) Ecol. Monogr. , vol.72 , pp. 169-184
    • Bjornstad, O.N.1
  • 26
    • 34248672429 scopus 로고    scopus 로고
    • WHO-UNICEF (2005) World Malaria Report 2005 (WHO/HTM/MAL/2005.1102). World Health Organization-United Nations Children's Fund (http://rbm.who.int/wmr2005/)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.