| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21c.sid.inpe.br (namespace prefix: upn:3Q3U5H8) | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/43QQ8TL | |||
| Repository | sid.inpe.br/mtc-m21c/2020/12.21.12.48 (restricted access) | |||
| Last Update | 2020:12.21.12.48.03 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2020/12.21.12.48.03 | |||
| Metadata Last Update | 2021:01.08.15.17.20 (UTC) administrator | |||
| DOI | 10.1038/s41598-020-78755-8 | |||
| ISSN | 2045-2322 | |||
| Citation Key | LorenzCTNLQPDFGC:2020:PrAeAe | |||
| Title | Predicting Aedes aegypti infestation using landscape and thermal features  | |||
| Year | 2020 | |||
| Month | Dec. | |||
| Access Date | 2025, Dec. 07 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 2082 KiB | |||
| 2. Context | ||||
| Author | 1 Lorenz, Camila 2 Castro, Marcia C. 3 Trindade, Patricia Michele Pereira 4 Nogueira, Maurício L. 5 Lage, Mariana de Oliveira 6 Quintanilha, José A. 7 Parra, Maisa C. 8 Dibo, Margareth R. 9 Fávaro, Eliane A. 10 Guirado, Marluci M. 11 Chiaravalloti Neto, Francisco | |||
| Group | 1 2 3 CRCRS-COCRE-INPE-MCTIC-GOV-BR | |||
| Affiliation | 1 Universidade de São Paulo (USP) 2 Harvard T.H. Chan School of Public Health 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Faculdade de Medicina de São José do Rio Preto 5 Universidade de São Paulo (USP) 6 Universidade de São Paulo (USP) 7 Faculdade de Medicina de São José do Rio Preto 8 Entomology Laboratory, Endemics Control Superintendence 9 Faculdade de Medicina de São José do Rio Preto 10 11 Universidade de São Paulo (USP) | |||
| Author e-Mail Address | 1 camilalorenz@usp.br | |||
| Journal | Scientific Reports | |||
| Volume | 10 | |||
| Number | 1 | |||
| Pages | e21688 | |||
| Secondary Mark | B2_BIODIVERSIDADE B3_ODONTOLOGIA B3_LETRAS_/_LINGUÍSTICA C_CIÊNCIAS_BIOLÓGICAS_III C_BIOTECNOLOGIA C_ASTRONOMIA_/_FÍSICA | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 upn:3Q3U5H8 | |||
| History (UTC) | 2020-12-21 12:51:19 :: simone -> administrator :: 2020 2021-01-08 15:17:20 :: administrator -> simone :: 2020 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Version Type | publisher | |||
| Abstract | Identifying Aedes aegypti breeding hotspots in urban areas is crucial for the design of efective vector control strategies. Remote sensing techniques ofer valuable tools for mapping habitat suitability. In this study, we evaluated the association between urban landscape, thermal features, and mosquito infestations. Entomological surveys were conducted between 2016 and 2019 in Vila Toninho, a neighborhood of São José do Rio Preto, São Paulo, Brazil, in which the numbers of adult female Ae. aegypti were recorded monthly and grouped by season for three years. We used data from 2016 to 2018 to build the model and data from summer of 2019 to validate it. WorldView-3 satellite images were used to extract land cover classes, and land surface temperature data were obtained using the Landsat-8 Thermal Infrared Sensor (TIRS). A multilevel negative binomial model was ftted to the data, which showed that the winter season has the greatest infuence on decreases in mosquito abundance. Green areas and pavements were negatively associated, and a higher cover of asbestos roofs and exposed soil was positively associated with the presence of adult females. These features are related to socio-economic factors but also provide favorable breeding conditions for mosquitos. The application of remote sensing technologies has signifcant potential for optimizing vector control strategies, future mosquito suppression, and outbreak prediction. | |||
| Area | SRE | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRS > Predicting Aedes aegypti... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| Target File | lorenz_predicting.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | urlib.net/www/2017/11.22.19.04.03 | |||
| Next Higher Units | 8JMKD3MGPCW/3EUFCFP | |||
| Citing Item List | sid.inpe.br/bibdigital/2013/10.04.21.53 - 42 | |||
| Dissemination | WEBSCI; PORTALCAPES; SCOPUS. | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||