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      Aedes albopictus (Diptera: Culicidae) Monitoring in the Lazio Region (Central Italy)

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          Abstract

          The Asian tiger mosquito Aedes albopictus (Skuse 1894) is assuming an ever-increasing importance as invasive species in Europe and consequently as human health and nuisance concern. In Central Italy, the species has been recently involved in a chikungunya outbreak. A 3 yr Ae. albopictus monitoring was carried out in 21 municipalities of the Lazio region (Central Italy), belonging to three provinces. Samplings were performed on a weekly basis using ovitraps, in order to investigate climatic and spatial variables driving egg abundance and Ae. albopictus period of activity. A temperature of 10.4°C was indicated as lower threshold for the onset of egg-laying activity, together with a photoperiod of 13:11 (L:D) h. The whole oviposition activity lasted 8 mo (May–December), with 95% of eggs laid between early June and mid-November and a peak at the end of August. Egg abundance was positively influenced by accumulated temperature (AT) of the 4 wk preceding sampling and negatively by precipitation during the week before. Egg-laying activity dropped with decreasing AT, increasing rainfall, and with a photoperiod below 10:14 (L:D) h. Our results pinpointed the importance of fine-scaled spatial features on egg abundance. Some of these fine-scaled characteristics have been highlighted, such as the presence of vegetation and human footprint index. Our model estimated an almost doubled maximum number of laid eggs for the maximum value of human footprint. Compelling evidence of the relevance of fine-scaled characteristics was reported, describing cases where human-made breeding sites driven the abundance of Ae. albopictus.

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          Fitting Linear Mixed-Effects Models Using lme4

          Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. Journal of Statistical Software, 67 (1) ISSN:1548-7660
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            Spread of the tiger: global risk of invasion by the mosquito Aedes albopictus.

            Aedes albopictus, commonly known as the Asian tiger mosquito, is currently the most invasive mosquito in the world. It is of medical importance due to its aggressive daytime human-biting behavior and ability to vector many viruses, including dengue, LaCrosse, and West Nile. Invasions into new areas of its potential range are often initiated through the transportation of eggs via the international trade in used tires. We use a genetic algorithm, Genetic Algorithm for Rule Set Production (GARP), to determine the ecological niche of Ae. albopictus and predict a global ecological risk map for the continued spread of the species. We combine this analysis with risk due to importation of tires from infested countries and their proximity to countries that have already been invaded to develop a list of countries most at risk for future introductions and establishments. Methods used here have potential for predicting risks of future invasions of vectors or pathogens.
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              smatr 3- an R package for estimation and inference about allometric lines

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                Author and article information

                Contributors
                Role: Subject Editor
                Journal
                J Med Entomol
                J Med Entomol
                jme
                Journal of Medical Entomology
                Oxford University Press (US )
                0022-2585
                1938-2928
                March 2021
                27 October 2020
                27 October 2020
                : 58
                : 2
                : 847-856
                Affiliations
                [1 ] Istituto Zooprofilattico Sperimentale del Lazio e della Toscana ‘M. Aleandri’ , Via Appia Nuova, Rome, Italy
                [2 ] Local Health Authority 6 , Borgo Garibaldi, Albano Laziale, Italy
                [3 ] Local Health Authority Roma 5 , Via degli Esplosivi, Colleferro, Italy
                [4 ] Local Health Authority Roma 4 , Via Terme di Traiano, Civitavecchia, Italy
                [5 ] Local Health Authority Roma 2 , Via Battista Bardanzellu, Rome, Italy
                [6 ] Istituto Nazionale Malattie Infettive Lazzaro Spallanzani , Via Portuense, Rome, Italy
                [7 ] Local Health Authority Latina , Viale Le Corbusier, Latina, Italy
                [8 ] Local Health Authority Frosinone , Via Giuseppe Mazzini, Frosinone, Italy
                Author notes
                Corresponding author, e-mail: federico.romiti.86@ 123456gmail.com
                Article
                tjaa222
                10.1093/jme/tjaa222
                7954105
                33107575
                fb0f42d0-032e-46f5-97af-f3bb3555a4a6
                © The Author(s) 2020. Published by Oxford University Press on behalf of Entomological Society of America.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 15 May 2020
                : 14 September 2020
                Page count
                Pages: 10
                Categories
                Vector-Borne Diseases, Surveillance, Prevention
                AcademicSubjects/SCI01382
                AcademicSubjects/MED00860

                mosquito,ovitrap,phenology,temperature,rainfall
                mosquito, ovitrap, phenology, temperature, rainfall

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