Implementation of a proactive system to monitor Aedes aegypti populations using open access historical and forecasted meteorological data

2021 ◽  
pp. 101351
Author(s):  
Exequiel Aguirre ◽  
Verónica Andreo ◽  
Ximena Porcasi ◽  
Laura Lopez ◽  
Claudio Guzman ◽  
...  
2021 ◽  
Author(s):  
Gordana Rašić ◽  
Igor Filipović ◽  
Sean L Wu ◽  
Tomás M León ◽  
Jared B Bennett ◽  
...  

AbstractA rare example of a successful long-term elimination of the mosquito Aedes aegypti is in Brisbane, Queensland, where the legislatively-enforced removal of rainwater tanks drove its disappearance by the mid-1950s. However, a decade-long drought led to the mass installation of rainwater tanks throughout the region, re-introducing critical breeding sites for the mosquito’s persistence in this subtropical region. With Ae. aegypti re-invading towns just 150 km north of Brisbane, we examined the potential for their sustained elimination. Through genomic analyses, we estimated historical expansion and current isolation between neighboring populations as close as 15 kilometers. The estimated recent migration rate, entomological and meteorological data were used to calibrate the simulations of elimination campaigns in the two southernmost populations. Our simulations indicate that Ae. aegypti could be eliminated with moderate release numbers of incompatible Wolbachia-infected (IIT) males (sorted with an error rate ≤10-6) if non-compliant rainwater tanks are removed first. With this combined campaign, highly effective suppression (>99%) was predicted in both towns, and complete elimination was predicted in 35% of simulations in one town. Without tank removal, however, IIT led to a moderate suppression (61-93%) even with a 40:1 ratio of released IIT males to local males. Moreover, with a ratio of >20:1, Wolbachia establishment was predicted when the sorting error was >10-7. Our conservative estimates of intervention outcomes inform the planning of Ae. aegypti elimination in the region, and offer insight into the effective combinations of conventional and novel control tools, particularly for vulnerable mosquito populations at range margins.SignificanceAfter decades of range stagnation in Australia, the Aedes aegypti mosquito is expanding southward, approaching the most-densely-populated areas of Queensland. Using population genomics and simulation modeling of elimination campaigns, we show that Australia’s southernmost populations of this disease vector are genetically isolated and could be eliminated with moderate releases of incompatible Wolbachia-infected males if major larval breeding sites (non-compliant rainwater tanks) are removed first. The risk of Wolbachia establishment for this approach is low, and so is the risk of quick mosquito re-invasion. Our conservative estimates of intervention outcomes inform the planning of Ae. aegypti elimination in the region, and offer new insight into the benefits of combining conventional and novel control tools, particularly for mosquito populations at range margins.


2019 ◽  
Vol 57 (1) ◽  
pp. 231-240 ◽  
Author(s):  
Mark H Myer ◽  
Chelsea M Fizer ◽  
Kenneth R Mcpherson ◽  
Anne C Neale ◽  
Andrew N Pilant ◽  
...  

Abstract Aedes mosquitoes are vectors of several emerging diseases and are spreading worldwide. We investigated the spatiotemporal dynamics of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) mosquito trap captures in Brownsville, TX, using high-resolution land cover, socioeconomic, and meteorological data. We modeled mosquito trap counts using a Bayesian hierarchical mixed-effects model with spatially correlated residuals. The models indicated an inverse relationship between temperature and mosquito trap counts for both species, which may be due to the hot and arid climate of southern Texas. The temporal trend in mosquito populations indicated Ae. aegypti populations peaking in the late spring and Ae. albopictus reaching a maximum in winter. Our results indicated that seasonal weather variation, vegetation height, human population, and land cover determine which of the two Aedes species will predominate.


Author(s):  
Lorenzo Benvenuto ◽  
Roberto Marzocchi ◽  
Ilaria Ferrando ◽  
Bianca Federici ◽  
Domenico Sguerso

DataBases (DB) are a widespread source of data, useful for many applications in different scientific fields. The present contribution describes an automatic procedure to access, download and store open access data from different sources, to be processed in a GIS environment. In particular, it refers to the specific need of the authors to manage both meteorological data (pressure and temperature) and GNSS (Global Navigation Satellite System) Zenith Total Delay (ZTD) estimates. Such data allow to produce Precipitable Water Vapor (PWV) maps, thanks to the so called GNSS for Meteorology(G4M) procedure, developed through GRASS GIS software ver. 7.4, for monitoring in time and interpreting severe meteorological events. Actually, the present version of the procedure includes the meteorological pressure and temperature data coming from NOAA’s Integrated Surface Database (ISD), whereas the ZTD data derive from the RENAG DB, that collects ZTD estimates for 181 GNSS Permanent Stations (PSs) from 1998 to 2015 in the French-Italian boundary region. Several Python scripts have been implemented to manage the download of data from NOAA and RENAG DBs, their import on a PostgreSQL/PostGIS geoDB, besides the data elaboration with GRASS GIS to produce PWV maps. The key features of the data management procedure are its scalability and versatility for different sources of data and different contexts. As a future development, a web-interface for the procedure will allow an easier interaction for the users both for post-processing and real-time data. The data management procedure repository is available at https://github.com/gtergeomatica/G4M-data


2019 ◽  
Vol 16 ◽  
pp. 75-83 ◽  
Author(s):  
Frank Kaspar ◽  
Frank Kratzenstein ◽  
Andrea K. Kaiser-Weiss

Abstract. During recent years, Germany's national meteorological service (Deutscher Wetterdienst, DWD) has significantly expanded the open access to its climate observations. A first step was a simple FTP-site with the possibility for downloading archives with various categories of data, e.g. national and international station-based meteorological data, derived parameters, gridded products and special categories as e.g. phenological data. The data are based on the observing systems of DWD for Germany as well as international activities of DWD. To improve the interactive and user-friendly access to the data, a new portal has been developed. The portal serves a variety of user requirements that result from the broad range of applications of DWD's climate data. Here we provide an overview of the new climate data portal of DWD. It is based on a systematic implementation of OGC-based technologies. It allows easy graphical access to the station data, but also supports access via technical interfaces, esp. Web-Map- and Web-Feature-Services.


2018 ◽  
Author(s):  
Lorenzo Benvenuto ◽  
Roberto Marzocchi ◽  
Ilaria Ferrando ◽  
Bianca Federici ◽  
Domenico Sguerso

DataBases (DB) are a widespread source of data, useful for many applications in different scientific fields. The present contribution describes an automatic procedure to access, download and store open access data from different sources, to be processed in a GIS environment. In particular, it refers to the specific need of the authors to manage both meteorological data (pressure and temperature) and GNSS (Global Navigation Satellite System) Zenith Total Delay (ZTD) estimates. Such data allow to produce Precipitable Water Vapor (PWV) maps, thanks to the so called GNSS for Meteorology(G4M) procedure, developed through GRASS GIS software ver. 7.4, for monitoring in time and interpreting severe meteorological events. Actually, the present version of the procedure includes the meteorological pressure and temperature data coming from NOAA’s Integrated Surface Database (ISD), whereas the ZTD data derive from the RENAG DB, that collects ZTD estimates for 181 GNSS Permanent Stations (PSs) from 1998 to 2015 in the French-Italian boundary region. Several Python scripts have been implemented to manage the download of data from NOAA and RENAG DBs, their import on a PostgreSQL/PostGIS geoDB, besides the data elaboration with GRASS GIS to produce PWV maps. The key features of the data management procedure are its scalability and versatility for different sources of data and different contexts. As a future development, a web-interface for the procedure will allow an easier interaction for the users both for post-processing and real-time data. The data management procedure repository is available at https://github.com/gtergeomatica/G4M-data


2021 ◽  
Author(s):  
Sarah Bailly ◽  
Vanessa Machault ◽  
Samuel Beneteau ◽  
Philippe Palany ◽  
Romain Girod ◽  
...  

Although the development of vaccines for the prevention of arboviral diseases has been a priority in recent years, prevention strategies continue to depend on vector control. Risk maps at scales appropriate for these strategies can provide valuable information to assess entomological risk levels and guide actions. We used a spatio-temporal modeling approach to predict, at the local scale, the risk of homes potentially harboring Aedes aegypti larvae. The model used integrated larvae risk data collected in the field from September 2011 to February 2013, environmental data obtained from very high spatial resolution Pleiades imagery, and daily meteorological data, collected in the city of Matoury in French Guiana. Various environmental and meteorological conditions were identified as risk or protective factors for the presence of immature stages of Aedes aegypti in homes on a given date and used to produce dynamic maps with high spatial and temporal resolution. Aedes vector risk was modeled between 50 and 200 m, around houses, on a time scale of 3 to 5 days. The resulting model was extrapolated to other municipalities with the same characteristics of urbanization during the 2019-2020 dengue epidemic in French Guiana. This work represents a major opportunity to monitor the evolution of vector risk and constitutes information that could be particularly useful for public health authorities in charge of vector control.


2009 ◽  
Vol 20 (2) ◽  
pp. 47-48
Author(s):  
G.-Jürgen Hogrefe
Keyword(s):  

2017 ◽  
Vol 46 (3) ◽  
pp. 176-186 ◽  
Author(s):  
Jürgen Margraf ◽  
Jan Christopher Cwik ◽  
Verena Pflug ◽  
Silvia Schneider

Zusammenfassung. Psychische Störungen können über die ganze Lebensspanne auftreten. Strukturierte klinische Interviews sind zentrale Hilfsmittel für ihre rasche, zuverlässige und umfassende Diagnostik. Im deutschsprachigen Raum stehen mit den Verfahren der DIPS-Familie Interviews zur Diagnostik psychischer Störungen über die gesamte Lebensspanne zur Verfügung, die seit den 90er Jahren regelmäßig aktualisiert wurden. Ihre Reliabilität, Validität und Akzeptanz wurde wiederholt in großen Stichproben aus ambulanten, stationären und Forschungssettings überprüft. Die Einführung des DSM-5 erforderte eine umfassende Überarbeitung der DIPS-Interviews, deren wesentliche Merkmale dargestellt werden. Um die breitere Verwendung von strukturierten klinischen Interviews zu fördern, werden die Verfahren der DIPS-Familie neu als „Open Access-Dokumente“ zur Verfügung gestellt. Abschließend werden weitere Entwicklungen zu Training, Dissemination und Computerisierung im Ausblick angesprochen.


2009 ◽  
Vol 25 (3) ◽  
pp. 131-132
Author(s):  
Karl Schweizer ◽  
Eric E.J. De Bruyn ◽  
G.-Jürgen Hogrefe
Keyword(s):  

2009 ◽  
Vol 40 (3) ◽  
pp. 176-177
Author(s):  
G.-Jürgen Hogrefe
Keyword(s):  

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