Identification of suitable areas for West Nile virus outbreaks in equid populations for application in surveillance plans: the example of the Castile and Leon region of Spain

2011 ◽  
Vol 140 (9) ◽  
pp. 1617-1631 ◽  
Author(s):  
V. RODRÍGUEZ-PRIETO ◽  
B. MARTÍNEZ-LÓPEZ ◽  
M. MARTÍNEZ ◽  
M. J. MUÑOZ ◽  
J. M. SÁNCHEZ-VIZCAÍNO
Keyword(s):  
West Nile Virus ◽  
Early Detection ◽  
Early Warning System ◽  
Warning System ◽  
American Continent ◽  
West Nile ◽  
Rapid Spread ◽  
Time Periods ◽  
Severity Of The Disease ◽  
And Control

SUMMARYThe introduction and rapid spread of West Nile virus (WNV) into new areas such as the American continent, associated also with the severity of the disease in humans and equids has increased concerns regarding the need to better prevent and control future WNV incursions. WNV outbreaks in equids usually occur under specific climatic and environmental conditions and, typically, before detection of WNV cases in humans. Targeting surveillance strategies in areas and time periods identified as suitable for WNV outbreaks in equids may act as an early-warning system to prevent disease in both equids and humans. This study used a GIS-based framework to identify suitable areas and time periods for WNV outbreak occurrence in one of the most important areas of equid production in Spain, i.e. Castile and Leon. Methods and results presented here may help to improve the early detection and control of future WNV outbreaks in Spain and other regions.

scholarly journals Dead Bird Surveillance as an Early Warning System for West Nile Virus

2001 ◽  
Vol 7 (4) ◽  
pp. 631-635 ◽  
Author(s):  
Millicent Eidson ◽  
Laura Kramer ◽  
Ward Stone ◽  
Yoichiro Hagiwara ◽  
Kate Schmit ◽  
...  
Keyword(s):  
West Nile Virus ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
West Nile ◽  
Dead Bird

Building a climate service to support an Εarly Warning System for the West Nile Virus disease in Greece

2020 ◽  
Author(s):  
Eleni Katragkou ◽  
Maria Chara Karypidou ◽  
Stergios Kartsios ◽  
Sandra Gewehr ◽  
Spiros Mourelatos
Keyword(s):  
West Nile Virus ◽  
Early Warning ◽  
Early Warning System ◽  
Mosquito Control ◽  
Virus Disease ◽  
Empirical Relationship ◽  
Warning System ◽  
West Nile ◽  
Study Region ◽  
Climate Service

<p>According to the National Public Health Organization in Greece, cases of West Nile Virus (WNV) infection in humans and animals have been recorded in various areas over Greece during the years 2010-2014 and 2017-2019 (https://eody.gov.gr). In this work we present a climate service which supports an Early Warning System (EWS) for the mosquito-borne WNV disease, operated for the first time over the Region of Central Macedonia in Greece. The EWS is based on a platform fed by time-dependent data (climate information and mosquito population data (Culex sp.)) and time invariant data (topography, density of mosquito breeding sites taken from field campaigns and distance to water-related land cover categories). The climate data are produced on a daily basis by the WRF-AUTH-MC weather forecast model over a 2x2 Km grid covering the Region of Central Macedonia, which operates from April to October (mosquito circulation period). Mosquito samples are collected every 2 weeks by the company ECODEVELOPMENT, using CO<sub>2</sub> mosquito traps. The mosquito data along with the climatic and static environmental information are utilized within a Generalized Linear Model (GLM). Based on an empirical relationship derived from the GLM, the overall environmental suitability for the Culex mosquito is assessed over the study region. The work is performed in the framework of the German-Greek bilateral project “Establishment of an Early Warning System for mosquito borne diseases” (http://www.wnvalert.eu/), which is focusing on improved measures on proactive mosquito control and disease prevention activities.</p>

scholarly journals Evaluation of a West Nile virus surveillance and early warning system in Greece, based on domestic pigeons

2014 ◽  
Vol 37 (2) ◽  
pp. 131-141 ◽  
Author(s):  
Serafeim C. Chaintoutis ◽  
Chrysostomos I. Dovas ◽  
Maria Papanastassopoulou ◽  
Sandra Gewehr ◽  
Kostas Danis ◽  
...  
Keyword(s):  
West Nile Virus ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
West Nile ◽  
Virus Surveillance ◽  
Domestic Pigeons

scholarly journals Towards an Early Warning System for Forecasting Human West Nile Virus Incidence

PLoS Currents ◽  
2014 ◽  
Author(s):  
Carrie A Manore ◽  
Justin Davis ◽  
Rebecca C. Christofferson ◽  
Dawn Wesson ◽  
James M Hyman ◽  
...  
Keyword(s):  
West Nile Virus ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
West Nile ◽  
Human West Nile Virus ◽  
Virus Incidence

scholarly journals Dead Bird Clusters as an Early Warning System for West Nile Virus Activity

2003 ◽  
Vol 9 (6) ◽  
pp. 641-646 ◽  
Author(s):  
Farzad Mostashari ◽  
Martin Kulldorff ◽  
Jessica J. Hartman ◽  
James R. Miller ◽  
Varuni Kulasekera
Keyword(s):  
West Nile Virus ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
West Nile ◽  
Dead Bird ◽  
Virus Activity

Early Warning System for West Nile Virus outbreaks based on Satellite Earth Observation Data

2020 ◽  
Author(s):  
Elisavet Parselia ◽  
Charalambos Kontoes ◽  
Ioannis Kioutsioukis ◽  
Spiros Mourelatos ◽  
Christos Hadjichristodoulou ◽  
...  
Keyword(s):  
West Nile Virus ◽  
Satellite Data ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Well Being ◽  
Earth Observation ◽  
Machine Learning Algorithms ◽  
Observation Data ◽  
West Nile

<p>The aim of this study is the development of an operational Early Warning System (EWS) that will utilize new and enhanced satellite Earth Observation (EO) sensors with the purpose of forecasting and risk mapping the West Nile Virus (WNV) outbreaks. Satellite EO data were leveraged to estimate environmental variables that influence the transmission cycle of the pathogen that leads to WNV, a mosquito-borne disease (MBD). The system was trained with epidemiological and entomological data from the region of Central Macedonia, the most epidemic-prone region in Greece regarding the WNV. The satellite derived environmental parameters of the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Water Index (NDWI), the Land Surface Temperature (LST), precipitation data as well as proximity to water bodies were coupled with meteorological data and were used as explanatory variables for the models. The management and analysis of the big satellite data was conducted with the Open Data Cube (ODC), providing an open and freely accessible exploitation architecture. Statistical and machine learning algorithms were used for short-term forecast, while dynamical models were utilized for the seasonal forecast.The system explores the analysis of big satellite data and proves its scalability by replicating the same models in different geographic regions; e.g the northeastern Italian region of Veneto. This EWS will be used as a tool for helping local decision-makers to improve health system responses, take preventive measures in order to curtail the spread of WNV in Europe and address the relevant priorities of the Sustainable Development Goals (SDGs) such as good health and well-being (SDG 3) and climate action (SDG 13).</p>

scholarly journals Towards an Early Warning System for Forecasting Human West Nile Virus Incidence

PLoS Currents ◽  
2014 ◽  
Author(s):  
Carrie A. Manore ◽  
Justin K. Davis ◽  
Rebecca C. Christofferson ◽  
Dawn M. Wesson ◽  
James M. Hyman ◽  
...  
Keyword(s):  
West Nile Virus ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
West Nile ◽  
Human West Nile Virus ◽  
Virus Incidence

scholarly journals The haze extreme co-movements in Beijing–Tianjin–Hebei region and its extreme dependence pattern recognitions

2020 ◽  
Vol 103 (2) ◽  
pp. 003685042091631 ◽  
Author(s):  
Lu Deng ◽  
Zhengjun Zhang
Keyword(s):  
Correlation Coefficient ◽  
Early Warning System ◽  
Warning System ◽  
Time Difference ◽  
Lag Effects ◽  
Extreme Dependence ◽  
Level Data ◽  
Temporal And Spatial ◽  
And Control ◽  
Meteorological Models

Extreme haze was often observed at many locations in Beijing–Tianjin–Hebei region within several hours when they occurred, which is referred to as extreme co-movements and extreme dependence in statistics. This article applies tail quotient correlation coefficient to explore the temporal and spatial extreme dependence patterns of haze in this region. Hourly PM2.5 station-level data during 2014–2018 are used, and the results show that the tail quotient correlation coefficient between stations increases with month. Specifically, the simultaneous extreme dependence was strong in the fourth season, while the haze was severe. In the first season, while the haze was also severe, the extreme hazes only show strong co-movements with a time difference. These observations lead to the study of two special scenarios, that is, the concurrence/extreme dependence of the worst extreme haze and its lag effects. City clusters suffering simultaneous extreme haze or with certain time difference as well as the most frequently co-movement cities are identified. The extreme co-movements of these cities and the reasons for their occurrences have strong implications for improving the PM2.5 joint prevention and control in the Beijing–Tianjin–Hebei region. The importance of lag effects is also reflected in the precedence order of the extreme haze’s appearance. It is especially useful when setting the mechanism of the early warning system which can be triggered by the first appearance of extreme haze. The precedence orders also avail in investigating the transmission path of the haze, based on which more precise meteorological models can be made to benefit the haze forecasting of the region.

scholarly journals IMPLEMENTATION OF EARLY WARNING SYSTEM IN NURSING WARD: A LITERATURE REVIEW

2021 ◽  
Vol 10 (1) ◽  
pp. 126-134
Author(s):  
Meli Diana ◽  
Dimas Hadi Prayoga ◽  
Dini Prastyo Wijayanti
Keyword(s):  
Early Detection ◽  
Early Warning ◽  
Scoring System ◽  
Early Warning System ◽  
Sudden Cardiac Arrest ◽  
Warning System ◽  
High Rate ◽  
Early Warning Score ◽  
Score System ◽  
Emergency Detection

Background: Hospital service is a process that involves all elements in the hospital including nurses and inpatient rooms or nursing wards. Different inpatient conditions will be treated in separated wards, by the same token patients with unstable conditions are admitted in intensive care units, this procedure aims to reduce the mortality incidence due to sudden cardiac arrest, therefore early detection of patients’ clinical deterioration using the early warning score system performed by the nurse in the nursing wards is required. Objective: This review study is a summary of the early warning system implementation in the nursing wards. Design: The data was obtained from international journal providers Proquest and Ebsco databases. The author accessed unair.remotexs.co website. Review Methods: Narative Review. Results: Early warning score is an effective intervention for emergency detection in patients. Conclusion: Early detection clinical emergency or known as the Early Warning Score System (EWSS) is the application of a scoring system for early detection of patient's condition before a worsening situation occurs. The implementation of this scoring system is necessary due to the high rate of deterioration of patient conditions that requiring immediate management to prevent profound deterioration and its subsequent adverse effect Keywords : Early warning system;nurse care;literatur;review

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