Search results for "Early Warning System"

Early warning climate indices for malaria and meningitis in tropical ecological zones

2020

AbstractThis study aims at assessing the impacts of climate indices on the spatiotemporal distribution of malaria and meningitis in Nigeria. The primary focus of the research is to develop an Early Warning System (EWS) for assessing climate variability implications on malaria and meningitis spread in the study area. Both climate and health data were used in the study to determine the relationship between climate variability and the occurrence of malaria and meningitis. The assessment was based on variations in different ecological zones in Nigeria. Two specific sample locations were randomly selected in each ecological zone for the analysis. The climatic data used in this study are dekadal …

The SESAMO early warning system for rainfall-triggered landslides

2016

The development of Web-based information systems coupled with advanced monitoring systems could prove to be extremely useful in landslide risk management and mitigation. A new frontier in the field of rainfall-triggered landslides (RTLs) lies in the real-time modelling of the relationship between rainfall and slope stability; this requires an intensive monitoring of some key parameters that could be achieved through the use of modern and often low-cost technologies. This work describes an integrated information system for early warning of RTLs that has been deployed and tested, in a prototypal form, for an Italian pilot site. The core of the proposed system is a wireless sensor network coll…

Predicting dengue fever outbreaks in French Guiana using climate indicators

2016

Background Dengue fever epidemic dynamics are driven by complex interactions between hosts, vectors and viruses. Associations between climate and dengue have been studied around the world, but the results have shown that the impact of the climate can vary widely from one study site to another. In French Guiana, climate-based models are not available to assist in developing an early warning system. This study aims to evaluate the potential of using oceanic and atmospheric conditions to help predict dengue fever outbreaks in French Guiana. Methodology/Principal Findings Lagged correlations and composite analyses were performed to identify the climatic conditions that characterized a typical e…

Climate change engenders a better Early Warning System development across Sub-Saharan Africa: The malaria case

2022

It is expected that diseases are likely to spread to newer areas, and high-income countries may experience some illnesses that may have been restricted to low or middle-income countries. In addition, following the Intergovernmental Panel on Climate Change, the present study noted that climate change is likely to have many effects on the spatial and temporal distribution of malaria in many Sub-Saharan African countries. This study examines climate change effects on the geographical distribution of malaria occurrence and how extreme climatic events may perhaps be determining factors in the range of vectors for human diseases in SSA in the nearest future. Here, the study appraisals the symbiot…

An integrated information system for the acquisition, management and sharing of environmental data aimed to decision making

2012

This paper reports the first results of the Project SESAMO - SistEma informativo integrato per l’acquisizione, geStione e condivisione di dati AMbientali per il supportO alle decisioni (Integrated Information System for the acquisition, management and sharing of environmental data aimed to decision making). The main aim of the project is to design and develop an integrated environmental information platform able to provide monitoring services for decision support, integrating data from different environmental monitoring systems (including WSN). This ICT platform, based on a service-oriented architecture (SOA), will be developed to coordinate a wide variety of data acquisition systems, based…

Decision Support for Disaster Risk Management: Integrating Vulnerabilities into Early-Warning Systems

2014

International audience; Despite the potential of new technologies and the improvements of early-warning systems since the 2004 Tsunami, damage and harm caused by disasters do not stop to increase. There is a clear need for better integrating the fragmented landscape of researchers and practitioners working on different aspects of decision support for disaster risk reduction and response. To demonstrate and discuss the advantages of integrated systems, we will focus in this paper on vulnerabilities and early-warning systems. While vulnerabilities are mostly used to allocate risk management resources (preparedness), early-warning systems are designed to initiate the response phase. Indicator …

Using an X-band radar for an urban area early flood warning system

2021

Floods represent a serious hazard in many areas of the world in terms of damage to properties and loss of life. For this reason, the European Floods Directive 2007/60/EC on the assessment and management of flood risk required the relevant bodies of the Member States to have adequate and efficient tools for assessing the flood risk of river basins and establishing flood risk management plans focused on prevention and protection of territory and people. The decision makers involved in flood defense often need some hydro-informatics tools to transform the flood forecast into relatively simple and clear messages that allow them to take prompt action to prevent and/or counteract the flood. From …

Modelling Inoculum Availability ofPlurivorosphaerella nawaein Persimmon Leaf Litter with Bayesian Beta Regression

2019

AbstractCircular leaf spot (CLS), caused byPlurivorosphaerella nawae, is a serious disease of persimmon (Diospyros kaki) inducing necrotic lesions on leaves, defoliation and fruit drop. Under Mediter-ranean conditions,P. nawaeforms pseudothecia in the leaf litter during winter and ascospores are released in spring infecting susceptible leaves. Persimmon growers are advised to apply fungicides for CLS control during the period of inoculum availability, which was defined based on ascospore counts under the microscope. A model of inoculum availability ofP. nawaewas developed and evaluated as an alternative to ascospore counts. Leaf litter samples were collected weekly in L’Alcúdia from 2010 to…

Infrasonic Early Warning System for Explosive Eruptions

2018

Urban MEMS based seismic network for post-earthquakes rapid disaster assessment

2014

Abstract. In this paper, we introduce a project for the realization of the first European real-time urban seismic network based on Micro Electro-Mechanical Systems (MEMS) technology. MEMS accelerometers are a highly enabling technology, and nowadays, the sensitivity and the dynamic range of these sensors are such as to allow the recording of earthquakes of moderate magnitude even at a distance of several tens of kilometers. Moreover, thanks to their low cost and smaller size, MEMS accelerometers can be easily installed in urban areas in order to achieve an urban seismic network constituted by high density of observation points. The network is being implemented in the Acireale Municipality (…