Literature DB >> 32403040

Mosquito surveillance and disease outbreak risk models to inform mosquito-control operations in Europe.

Beniamino Caputo1, Mattia Manica2.   

Abstract

Surveillance programs are needed to guide mosquito-control operations to reduce both nuisance and the spread of mosquito-borne diseases. Understanding the thresholds for action to reduce both nuisance and the risk of arbovirus transmission is becoming critical. To date, mosquito surveillance is mainly implemented to inform about pathogen transmission risks rather than to reduce mosquito nuisance even though lots of control efforts are aimed at the latter. Passive surveillance, such as digital monitoring (validated by entomological trapping), is a powerful tool to record biting rates in real time. High-quality data are essential to model the risk of arbovirus diseases. For invasive pathogens, efforts are needed to predict the arrival of infected hosts linked to the small-scale vector to host contact ratio, while for endemic pathogens efforts are needed to set up region-wide highly structured surveillance measures to understand seasonal re-activation and pathogen transmission in order to carry out effective control operations.
Copyright © 2020 Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32403040     DOI: 10.1016/j.cois.2020.03.009

Source DB:  PubMed          Journal:  Curr Opin Insect Sci            Impact factor:   5.186


  4 in total

1.  Predicting Aedes aegypti infestation using landscape and thermal features.

Authors:  Camila Lorenz; Marcia C Castro; Patricia M P Trindade; Maurício L Nogueira; Mariana de Oliveira Lage; José A Quintanilha; Maisa C Parra; Margareth R Dibo; Eliane A Fávaro; Marluci M Guirado; Francisco Chiaravalloti-Neto
Journal:  Sci Rep       Date:  2020-12-10       Impact factor: 4.379

2.  Mosquito species identification using convolutional neural networks with a multitiered ensemble model for novel species detection.

Authors:  Adam Goodwin; Sanket Padmanabhan; Sanchit Hira; Margaret Glancey; Monet Slinowsky; Rakhil Immidisetti; Laura Scavo; Jewell Brey; Bala Murali Manoghar Sai Sudhakar; Tristan Ford; Collyn Heier; Yvonne-Marie Linton; David B Pecor; Laura Caicedo-Quiroga; Soumyadipta Acharya
Journal:  Sci Rep       Date:  2021-07-01       Impact factor: 4.379

3.  ZanzaMapp: A Scalable Citizen Science Tool to Monitor Perception of Mosquito Abundance and Nuisance in Italy and Beyond.

Authors:  Beniamino Caputo; Mattia Manica; Federico Filipponi; Marta Blangiardo; Pietro Cobre; Luca Delucchi; Carlo Maria De Marco; Luca Iesu; Paola Morano; Valeria Petrella; Marco Salvemini; Cesare Bianchi; Alessandra Della Torre
Journal:  Int J Environ Res Public Health       Date:  2020-10-27       Impact factor: 3.390

4.  A Case for Systematic Quality Management in Mosquito Control Programmes in Europe.

Authors:  Antonios Michaelakis; Fabrizio Balestrino; Norbert Becker; Romeo Bellini; Beniamino Caputo; Alessandra Della Torre; Jordi Figuerola; Gregory L'Ambert; Dusan Petric; Vincent Robert; David Roiz; Anastasios Saratsis; Carla A Sousa; William G R Wint; Nikos T Papadopoulos
Journal:  Int J Environ Res Public Health       Date:  2021-03-27       Impact factor: 3.390

  4 in total

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