{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:50:00Z","timestamp":1787028600059,"version":"build-2736575974"},"reference-count":51,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2021,10,9]],"date-time":"2021-10-09T00:00:00Z","timestamp":1633737600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Insects"],"abstract":"<jats:p>Aedes aegypti, the mosquito species transmitting dengue, zika, chikungunya and yellow fever viruses, is fully adapted to thrive in urban areas. The temporal activity of this mosquito, however, varies within urban areas which might imply different transmission risk. In this work, we hypothesize that temporal differences in mosquito activity patterns are determined by local environmental conditions. Hence, we explore the existence of groups of temporal patterns in weekly time series of Ae. aegypti ovitraps records (2017\u20132019) by means of time series clustering. Next, with the aim of predicting risk in places with no mosquito field data, we use machine learning classification tools to assess the association of temporal patterns with environmental variables derived from satellite imagery and predict temporal patterns over the city area to finally test the relationship with dengue incidence. We found three groups of temporal patterns that showed association with land cover diversity, variability in vegetation and humidity and, heterogeneity measured by texture indices estimated over buffer areas surrounding ovitraps. Dengue incidence on a neighborhood basis showed a weak but positive association with the percentage of pixels belonging to only one of the temporal patterns detected. The understanding of the spatial distribution of temporal patterns and their environmental determinants might then become highly relevant to guide the allocation of prevention and potential interventions. Further investigation is still needed though to incorporate other determinants not considered here.<\/jats:p>","DOI":"10.3390\/insects12100919","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T21:23:25Z","timestamp":1633901005000},"page":"919","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Spatial Distribution of Aedes aegypti Oviposition Temporal Patterns and Their Relationship with Environment and Dengue Incidence"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4633-2161","authenticated-orcid":false,"given":"Ver\u00f3nica","family":"Andreo","sequence":"first","affiliation":[{"name":"Instituto de Altos Estudios Espaciales \u201cMario Gulich\u201d, Falda del Ca\u00f1ete, C\u00f3rdoba 5187, Argentina"},{"name":"Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas (CONICET), Ciudad Aut\u00f3noma de Buenos Aires C1425FQB, Argentina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0386-5953","authenticated-orcid":false,"given":"Ximena","family":"Porcasi","sequence":"additional","affiliation":[{"name":"Instituto de Altos Estudios Espaciales \u201cMario Gulich\u201d, Falda del Ca\u00f1ete, C\u00f3rdoba 5187, Argentina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claudio","family":"Guzman","sequence":"additional","affiliation":[{"name":"Programa de Zoonosis, \u00c1rea de Epidemiolog\u00eda, Ministerio de Salud, C\u00f3rdoba 5000, Argentina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura","family":"Lopez","sequence":"additional","affiliation":[{"name":"Programa de Zoonosis, \u00c1rea de Epidemiolog\u00eda, Ministerio de Salud, C\u00f3rdoba 5000, Argentina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0905-6361","authenticated-orcid":false,"given":"Carlos M.","family":"Scavuzzo","sequence":"additional","affiliation":[{"name":"Instituto de Altos Estudios Espaciales \u201cMario Gulich\u201d, Falda del Ca\u00f1ete, C\u00f3rdoba 5187, Argentina"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1590\/S0074-02762008005000003","article-title":"Aedes aegypti, Aedes albopictus, and dengue in Argentina: Current knowledge and future directions","volume":"103","author":"Vezzani","year":"2008","journal-title":"Mem\u00f3rias do Instituto Oswaldo Cruz"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1016\/j.envres.2019.02.026","article-title":"Climate change may enable Aedes aegypti infestation in major European cities by 2100","volume":"172","author":"Rocklov","year":"2019","journal-title":"Environ. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"e190496","DOI":"10.1590\/0074-02760190496","article-title":"Aedes aegypti spreading in South America: New coldest and southernmost records","volume":"115","author":"Rubio","year":"2020","journal-title":"Mem\u00f3rias do Instituto Oswaldo Cruz"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1590\/0074-0276130395","article-title":"History of domestication and spread of Aedes aegypti\u2014A Review","volume":"108","author":"Powell","year":"2013","journal-title":"Mem\u00f3rias do Instituto Oswaldo Cruz"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"15335","DOI":"10.1038\/s41598-019-51787-5","article-title":"Urbanization creates diverse aquatic habitats for immature mosquitoes in urban areas","volume":"9","author":"Wilke","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1016\/S1473-3099(16)00026-8","article-title":"The global burden of dengue: An analysis from the Global Burden of Disease Study 2013","volume":"16","author":"Stanaway","year":"2016","journal-title":"Lancet Infect. Dis."},{"key":"ref_7","first-page":"593","article-title":"Outbreak of indigenous dengue in the Buenos Aires Metropolitan Area. Experience of the F. J. Mu\u00f1\u00edz Hospital","volume":"69","author":"Seijo","year":"2009","journal-title":"Medicina"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.actatropica.2014.04.024","article-title":"Spatio-temporal dynamics of dengue 2009 outbreak in C\u00f3rdoba City, Argentina","volume":"136","author":"Estallo","year":"2014","journal-title":"Acta Trop."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Rotela, C., Lopez, L., C\u00e9spedes, M.F., Barbas, G., Lighezzolo, A., Porcasi, X., Lanfri, M.A., Scavuzzo, C.M., and Gorla, D.E. (2017). Analytical report of the 2016 dengue outbreak in C\u00f3rdoba city, Argentina. Geospat. Health.","DOI":"10.4081\/gh.2017.564"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1038\/s41597-019-0295-z","article-title":"Arbovirus emergence in the temperate city of C\u00f3rdoba, Argentina, 2009\u20132018","volume":"6","author":"Robert","year":"2019","journal-title":"Sci. Data"},{"key":"ref_11","unstructured":"Ministerio de Salud de la Naci\u00f3n (2020). Bolet\u00edn Integrado de Vigilancia, Ministerio de Salud de la Naci\u00f3n. Semana 32."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Bowman, L.R., Donegan, S., and McCall, P.J. (2016). Is Dengue Vector Control Deficient in Effectiveness or Evidence? Systematic Review and Meta-analysis. PLoS Neglected Trop. Dis., 10.","DOI":"10.1371\/journal.pntd.0004551"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"494","DOI":"10.4269\/ajtmh.2003.69.494","article-title":"Characteristics of the spatial pattern of the Dengue vector, Aedes aegypti, in Iquitos, Per\u00fa","volume":"69","author":"Getis","year":"2003","journal-title":"Am. J. Trop. Med. Hyg."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Sallam, M.F., Fizer, C., Pilant, A.N., and Whung, P.Y. (2017). Systematic Review: Land Cover, Meteorological, and Socioeconomic Determinants of Aedes Mosquito Habitat for Risk Mapping. Int. J. Environ. Res. Public Health, 14.","DOI":"10.3390\/ijerph14101230"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Marti, R., Li, Z., Catry, T., Roux, E., Mangeas, M., Handschumacher, P., Gaudart, J., Tran, A., Demagistri, L., and Faure, J.F. (2020). A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires. Remote Sens., 12.","DOI":"10.3390\/rs12060932"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"31","DOI":"10.4081\/gh.2012.120","article-title":"An operative dengue risk stratification system in Argentina based on geospatial technology","volume":"6","author":"Porcasi","year":"2012","journal-title":"Geospat. Health"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1111\/mve.12323","article-title":"Modelling the distribution of the vector Aedes aegypti in a central Argentine city: Modelling Aedes aegypti distribution","volume":"32","author":"Estallo","year":"2018","journal-title":"Med. Vet. Entomol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1111\/mve.12422","article-title":"Could land cover influence Aedes aegypti mosquito populations?","volume":"34","author":"Benitez","year":"2020","journal-title":"Med. Vet. Entomol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"21688","DOI":"10.1038\/s41598-020-78755-8","article-title":"Predicting Aedes aegypti infestation using landscape and thermal features","volume":"10","author":"Lorenz","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_20","first-page":"100554","article-title":"Towards a workflow for operational mapping of Aedes aegypti at urban scale based on remote sensing","volume":"23","author":"Andreo","year":"2021","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"101351","DOI":"10.1016\/j.ecoinf.2021.101351","article-title":"Implementation of a proactive system to monitor Aedes aegypti populations using open access historical and forecasted meteorological data","volume":"64","author":"Aguirre","year":"2021","journal-title":"Ecol. Inform."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"5461","DOI":"10.1109\/JSTARS.2016.2604577","article-title":"MODIS Environmental Data to Assess Chikungunya, Dengue, and Zika Diseases Through Aedes (Stegomia) aegypti Oviposition Activity Estimation","volume":"9","author":"Estallo","year":"2016","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.actatropica.2018.05.003","article-title":"Modeling Dengue vector population using remotely sensed data and machine learning","volume":"185","author":"Scavuzzo","year":"2018","journal-title":"Acta Trop."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4390","DOI":"10.1109\/JSTARS.2021.3073351","article-title":"Dengue Vector Population Forecasting Using Multisource Earth Observation Products and Recurrent Neural Networks","volume":"14","author":"Mudele","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Andreo, V., Izquierdo-Verdiguier, E., Zurita-Milla, R., Rosa, R., Rizzoli, A., and Papa, A. (2018, January 22\u201327). Identifying Favorable Spatio-Temporal Conditions for West Nile Virus Outbreaks by Co-Clustering of Modis LST Indices Time Series. Proceedings of the IGARSS 2018\u20142018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain.","DOI":"10.1109\/IGARSS.2018.8519542"},{"key":"ref_26","first-page":"135","article-title":"Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites","volume":"13","author":"Espinosa","year":"2018","journal-title":"Geospat. Health"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.is.2015.04.007","article-title":"Time-series clustering\u2014A decade review","volume":"53","author":"Aghabozorgi","year":"2015","journal-title":"Inf. Syst."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s10614-020-09986-0","article-title":"Intertemporal Similarity of Economic Time Series: An Application of Dynamic Time Warping","volume":"56","author":"Franses","year":"2020","journal-title":"Comput. Econ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1016\/j.rse.2017.10.005","article-title":"Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis","volume":"204","author":"Belgiu","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Naranjo-Fern\u00e1ndez, N., Guardiola-Albert, C., Aguilera, H., Serrano-Hidalgo, C., and Montero-Gonz\u00e1lez, E. (2020). Clustering Groundwater Level Time Series of the Exploited Almonte-Marismas Aquifer in Southwest Spain. Water, 12.","DOI":"10.3390\/w12041063"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1720","DOI":"10.1080\/01431161.2017.1286055","article-title":"The Dynamic-Time-Warping-based k-means++ clustering and its application in phenoregion delineation","volume":"38","author":"Zhang","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Andreo, V., Porcasi, X., Rodriguez, C., Lopez, L., Guzman, C., and Scavuzzo, C.M. (2019, January 18\u201320). Time Series Clustering Applied to Eco-Epidemiology: The case of Aedes aegypti in C\u00f3rdoba, Argentina. Proceedings of the 2019 XVIII Workshop on Information Processing and Control (RPIC), Bah\u00eda Blanca, Argentina.","DOI":"10.1109\/RPIC.2019.8882184"},{"key":"ref_33","unstructured":"INDEC (Instituto Nacional de Estad\u00edstica y Censos) (2021, March 10). National Population, Homes and Houses Census, Available online: https:\/\/redatam.indec.gob.ar\/argbin\/RpWebEngine.exe\/PortalAction."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"247","DOI":"10.4081\/gh.2018.734","article-title":"Operational satellite-based temporal modelling of Aedes population in Argentina","volume":"13","author":"Espinosa","year":"2018","journal-title":"Geospat. Health"},{"key":"ref_35","unstructured":"GRASS Development Team (2021, March 23). Geographic Resources Analysis Support System (GRASS GIS) Software, Available online: https:\/\/grass.osgeo.org\/download."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.patcog.2012.07.021","article-title":"An extensive comparative study of cluster validity indices","volume":"46","author":"Arbelaitz","year":"2013","journal-title":"Pattern Recognit."},{"key":"ref_37","unstructured":"Sarda-Espinosa, A. (2020, December 21). Dtwclust: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance, Available online: https:\/\/cran.r-project.org\/package=dtwclust."},{"key":"ref_38","unstructured":"R Core Team (2020). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing."},{"key":"ref_39","unstructured":"Hornik, K. (2021, May 21). Clue: Cluster Ensembles, Available online: https:\/\/cran.r-project.org\/package=clue."},{"key":"ref_40","unstructured":"Kuhn, M. (2021, June 23). Caret: Classification and Regression Training, Available online: https:\/\/cran.r-project.org\/package=caret."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1590\/S0074-02762003000500013","article-title":"Oviposition activity and seasonal pattern of a population of Aedes (Stegomyia) aegypti (L.) (Diptera: Culicidae) in subtropical Argentina","volume":"98","author":"Micieli","year":"2003","journal-title":"Mem\u00f3rias do Instituto Oswaldo Cruz"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1089\/vbz.2009.0165","article-title":"Prevention of Dengue Outbreaks Through Aedes aegypti Oviposition Activity Forecasting Method","volume":"11","author":"Estallo","year":"2011","journal-title":"Vector-Borne Zoonotic Dis."},{"key":"ref_43","first-page":"231","article-title":"Exploring satellite based temporal forecast modelling of Aedes aegypti oviposition from an operational perspective","volume":"11","author":"German","year":"2018","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"105744","DOI":"10.1016\/j.actatropica.2020.105744","article-title":"Understanding the role of temporal variation of environmental variables in predicting Aedes aegypti oviposition activity in a temperate region of Argentina","volume":"216","author":"Benitez","year":"2021","journal-title":"Acta Trop."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"e2998","DOI":"10.7717\/peerj.2998","article-title":"From eggs to bites: Do ovitrap data provide reliable estimates of Aedes albopictus biting females?","volume":"5","author":"Manica","year":"2017","journal-title":"PeerJ"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1111\/j.1948-7134.2012.00245.x","article-title":"Fine scale spatial urban land cover factors associated with adult mosquito abundance and risk in Tucson, Arizona","volume":"37","author":"Landau","year":"2012","journal-title":"J. Vector Ecol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"3","DOI":"10.4081\/gh.2016.471","article-title":"Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme","volume":"11","author":"Espinosa","year":"2016","journal-title":"Geospat. Health"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1295","DOI":"10.1007\/s10980-019-00839-2","article-title":"An operational machine learning approach to predict mosquito abundance based on socioeconomic and landscape patterns","volume":"34","author":"Chen","year":"2019","journal-title":"Landsc. Ecol."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Cromwell, E.A., Stoddard, S.T., Barker, C.M., Rie, A.V., Messer, W.B., Meshnick, S.R., Morrison, A.C., and Scott, T.W. (2017). The relationship between entomological indicators of Aedes aegypti abundance and dengue virus infection. PLoS Neglected Trop. Dis., 11.","DOI":"10.1371\/journal.pntd.0005429"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.ecoinf.2015.08.011","article-title":"Application of an artificial neural network (ANN) model for predicting mosquito abundances in urban areas","volume":"36","author":"Lee","year":"2016","journal-title":"Ecol. Inform."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Espinosa, M., Weinberg, D., Rotela, C.H., Polop, F., Abril, M., and Scavuzzo, C.M. (2016). Temporal Dynamics and Spatial Patterns of Aedes aegypti Breeding Sites, in the Context of a Dengue Control Program in Tartagal (Salta Province, Argentina). PLoS Neglected Trop. Dis., 10.","DOI":"10.1371\/journal.pntd.0004621"}],"container-title":["Insects"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2075-4450\/12\/10\/919\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:10:46Z","timestamp":1760166646000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2075-4450\/12\/10\/919"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,9]]},"references-count":51,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2021,10]]}},"alternative-id":["insects12100919"],"URL":"https:\/\/doi.org\/10.3390\/insects12100919","relation":{},"ISSN":["2075-4450"],"issn-type":[{"value":"2075-4450","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,9]]}}}