메뉴 건너뛰기




Volumn 4, Issue , 2005, Pages

An online operational rainfall-monitoring resource for epidemic malaria early warning systems in Africa

Author keywords

[No Author keywords available]

Indexed keywords

RAIN;

EID: 14544300537     PISSN: 14752875     EISSN: 14752875     Source Type: Journal    
DOI: 10.1186/1475-2875-4-6     Document Type: Review
Times cited : (82)

References (11)
  • 1
    • 0038440101 scopus 로고    scopus 로고
    • Geneva: World Health Organization
    • WHO: Africa Malaria Report. Geneva: World Health Organization; 2003.
    • (2003) Africa Malaria Report
  • 2
    • 0038663115 scopus 로고    scopus 로고
    • Forecasting, Warning, and Detection of Malaria Epidemics: A Case Study
    • Hay S, Were E, Renshaw M, Noor AM, Ochola S, Olusanmi I: Forecasting, Warning, and Detection of Malaria Epidemics: a Case Study. Lancet 2003, 361:1705-1706.
    • (2003) Lancet , vol.361 , pp. 1705-1706
    • Hay, S.1    Were, E.2    Renshaw, M.3    Noor, A.M.4    Ochola, S.5    Olusanmi, I.6
  • 3
    • 12244272487 scopus 로고    scopus 로고
    • Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia I. Patterns of lagged weather effects reflect biological mechanisms
    • Teklehaimanot HD, Lipsitch M, Teklehaimanot A, Schwartz J: Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia I. Patterns of lagged weather effects reflect biological mechanisms. Malar J 2004, 3:41.
    • (2004) Malar J , vol.3 , pp. 41
    • Teklehaimanot, H.D.1    Lipsitch, M.2    Teklehaimanot, A.3    Schwartz, J.4
  • 4
    • 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 HD, Schwartz J, Teklehaimanot A, Lipsitch M: 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. Malar J 2004, 3:44.
    • (2004) Malar J , vol.3 , pp. 44
    • Teklehaimanot, H.D.1    Schwartz, J.2    Teklehaimanot, A.3    Lipsitch, M.4
  • 5
    • 0003982754 scopus 로고    scopus 로고
    • Malaria Early Warning Systems: Concepts, indicators and partners: A framework for field research in Africa
    • WHO/CDS/RBM/2001.32 Geneva: World Health Organization
    • WHO: Malaria Early Warning Systems: concepts, indicators and partners: A framework for field research in Africa. In Malaria Early Warning Systems: concepts, indicators and partners: A framework for field research in Africa. WHO/CDS/RBM/2001.32 Geneva: World Health Organization; 2001.
    • (2001) Malaria Early Warning Systems: Concepts, Indicators and Partners: A Framework for Field Research in Africa
  • 8
    • 84921622286 scopus 로고    scopus 로고
    • Web-based tool for early warning of malaria epidemics in Africa: Monitoring rainfall anomalies in zones at epidemic risk
    • WHO: Web-based tool for early warning of malaria epidemics in Africa: monitoring rainfall anomalies in zones at epidemic risk. Weekly Epidemiological Record 2002:276.
    • (2002) Weekly Epidemiological Record , pp. 276
  • 9
    • 84872265072 scopus 로고    scopus 로고
    • Improved knowledge on the climatic and environmental determinants of malaria distribution in sub-Saharan Africa: Implications for improving control planning and reducing vulnerability to malaria (and other climate sensitive diseases)
    • Connor SJ: Improved knowledge on the climatic and environmental determinants of malaria distribution in sub-Saharan Africa: implications for improving control planning and reducing vulnerability to malaria (and other climate sensitive diseases). Liverpool: DFID-LSTM Malaria Knowledge Programme 2003.
    • (2003) Liverpool: DFID-LSTM Malaria Knowledge Programme
    • Connor, S.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.