The development of Malaria Early Warning Systems for Africa.
نویسندگان
چکیده
Current efforts to predict malaria epidemics focus on the role weather anomalies can play in epidemic prediction. Alongside weather monitoring and seasonal climate forecasts, epidemiological, social and environmental factors can also play a role in predicting the timing and severity of malaria epidemics. Such factors can be incorporated into a framework for malaria early warning.
منابع مشابه
Design and Development of Early Warning System for Desertification and Land Degradation
Early warning systems are key components of strategies to reduce risk. This research, by adopting a systematic approach in the management of the risk of desertification and by including previously developed models and systems, offers an integrated efficient structure in terms of early warning for the risk of desertification as a pilot system for semi-arid areas of west Golestan Province in IRAN...
متن کاملDevelopment of Malaria Early Warning System (MEWS) using Remote Sensing and Geographical Information Systems
Improved prediction, prevention, and control of epidemics are key technical goals of the Roll Back Malaria (RBM) partnership. The International Research Institute for Climate and Society (IRI) is a Pan-America and World Health Organization (PAHO/WHO) Collaborating Centre on early warning systems for malaria and other climate sensitive diseases. To improve epidemic control in climate-sensitive r...
متن کاملMalaria early warning in Kenya.
Kenya displays large spatiotemporal diversity in its climate and ecology. It follows that malaria transmission will reflect this environmental heterogeneity in both space and time. In this article, we discuss how such heterogeneity, and its epidemiological consequences, should be considered in the development of early warning systems for malaria epidemics.
متن کاملA review of spatial technologies with applications for malaria transmission modelling and control in Africa.
Spatial technologies, i.e. geographic information systems, remote sensing, and global positioning systems, offer an opportunity for rapid assessment of malaria endemic areas. These technologies coupled with prevalence/incidence data can provide reliable estimates of population at risk, predict disease distributions in areas that lack baseline data and provide guidance for intervention strategie...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Trends in parasitology
دوره 17 9 شماره
صفحات -
تاریخ انتشار 2001