Literature DB >> 10697900

Forecasting and prevention of epidemic malaria: new perspectives on an old problem.

S J Connor1, M C Thomson, D H Molyneux.   

Abstract

There is a clear need for improved epidemic malaria surveillance mechanisms in areas prone to the disease. Epidemiological surveillance systems are rarely able to provide information in a sufficiently timely manner for adequate epidemic response. This is especially true in African countries where surveillance is poorly developed, and particularly so in remote regions of unstable malaria such as desert fringes. There is long standing evidence linking climatic variability and epidemic risk. The last ten years have seen significant developments in Environmental Information System (EIS) for a range of natural resource management purposes. The routine information products from these systems have been shown to be both spatially and temporally related to malaria transmission indicators across the African continent. EIS may therefore provide a useful and cost effective input to epidemic malaria control planning and response.

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Mesh:

Year:  1999        PMID: 10697900

Source DB:  PubMed          Journal:  Parassitologia        ISSN: 0048-2951


  14 in total

1.  Bayesian spatiotemporal analysis of socio-ecologic drivers of Ross River virus transmission in Queensland, Australia.

Authors:  Wenbiao Hu; Archie Clements; Gail Williams; Shilu Tong; Kerrie Mengersen
Journal:  Am J Trop Med Hyg       Date:  2010-09       Impact factor: 2.345

2.  Could Malaria Control Programmes be Timed to Coincide with Onset of Rainfall?

Authors:  Kibii Komen
Journal:  Ecohealth       Date:  2017-04-04       Impact factor: 3.184

3.  Long-run relative importance of temperature as the main driver to malaria transmission in Limpopo Province, South Africa: a simple econometric approach.

Authors:  Kibii Komen; Jane Olwoch; Hannes Rautenbach; Joel Botai; Adetunji Adebayo
Journal:  Ecohealth       Date:  2014-12-17       Impact factor: 3.184

4.  The potential of Pathfinder AVHRR data for providing surrogate climatic variables across Africa and Europe for epidemiological applications.

Authors:  Robert M Green; Simon I Hay
Journal:  Remote Sens Environ       Date:  2002-02       Impact factor: 10.164

5.  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.

Authors:  Hailay D Teklehaimanot; Joel Schwartz; Awash Teklehaimanot; Marc Lipsitch
Journal:  Malar J       Date:  2004-11-19       Impact factor: 2.979

6.  The influence of weather on mortality in rural Tanzania: a time-series analysis 1999-2010.

Authors:  Sigilbert Mrema; Amri Shamte; Majige Selemani; Honorati Masanja
Journal:  Glob Health Action       Date:  2012-11-23       Impact factor: 2.640

7.  Alert threshold algorithms and malaria epidemic detection.

Authors:  Hailay Desta Teklehaimanot; Joel Schwatrz; Awash Teklehaimanot; Marc Lipsitch
Journal:  Emerg Infect Dis       Date:  2004-07       Impact factor: 6.883

8.  Epochal changes in the association between malaria epidemics and El Niño in Sri Lanka.

Authors:  Lareef Zubair; Gawrie N Galappaththy; Hyemin Yang; Janaki Chandimala; Zeenas Yahiya; Priyanie Amerasinghe; Neil Ward; Stephen J Connor
Journal:  Malar J       Date:  2008-07-24       Impact factor: 2.979

9.  Comparing models for early warning systems of neglected tropical diseases.

Authors:  Luis Fernando Chaves; Mercedes Pascual
Journal:  PLoS Negl Trop Dis       Date:  2007-10-22

10.  Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia I. Patterns of lagged weather effects reflect biological mechanisms.

Authors:  Hailay D Teklehaimanot; Marc Lipsitch; Awash Teklehaimanot; Joel Schwartz
Journal:  Malar J       Date:  2004-11-12       Impact factor: 2.979

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