{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,6]],"date-time":"2026-11-06T07:17:55Z","timestamp":1793949475878,"version":"4.8.0"},"reference-count":63,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2020,11,27]],"date-time":"2020-11-27T00:00:00Z","timestamp":1606435200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Tropical Med Int Health"],"published-print":{"date-parts":[[2021,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objectives<\/jats:title><jats:p>Understanding the intra\u2010urban spatial dynamics of <jats:italic>Aedes aegypti<\/jats:italic> and dengue transmission is important to effectively guide vector control. Ovitraps are a sensitive, cost\u2010effective vector surveillance tool, yet few longitudinal studies have evaluated ovitrap indices and dengue occurrence. We aimed to assess the spatial patterns of dengue incidence and <jats:italic>Ae.\u00a0aegypti<\/jats:italic> ovitrap positivity index (OPI) over time and to examine the spatial relationship between these two variables.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This study used 12\u00a0years (2007\u20132018) of dengue case records and biweekly <jats:italic>Ae.\u00a0aegypti<\/jats:italic> ovitrap data in Belo Horizonte, Brazil. We aggregated data by year and health centre catchment area (<jats:italic>n<\/jats:italic>\u00a0=\u00a0152) and used both univariate and bivariate global Moran\u2019s I statistic and LISA to evaluate spatial clustering.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Annual dengue incidence ranged from 18 to 6262\/100\u00a0000 residents and displayed spatial autocorrelation in 10\/12\u00a0years, with shifting areas of high incidence. Annual OPI ranged from 35.7 to 47.6% and was clustered in all study years, but unlike dengue had consistent spatial patterns over time. Bivariate analysis found both positive (6\/12\u00a0years) and negative (1\/12\u00a0years) spatial associations between the two variables.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Low detected presence of <jats:italic>Ae.\u00a0aegypti<\/jats:italic> was not a limiting factor in dengue transmission. However, stable spatial distribution of OPI suggests that certain areas may have persistent breeding sites. Future research should identify factors related to persistent <jats:italic>Ae.\u00a0aegypti<\/jats:italic> hotspots to better guide vector management. Vector control efforts should be paired with additional data on population immunity, circulating serotypes and urban factors to better predict and control outbreaks.<\/jats:p><\/jats:sec>","DOI":"10.1111\/tmi.13521","type":"journal-article","created":{"date-parts":[[2020,11,7]],"date-time":"2020-11-07T17:46:31Z","timestamp":1604771191000},"page":"237-255","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Spatial analysis of dengue incidence and <i>Aedes aegypti<\/i> ovitrap surveillance in Belo Horizonte, Brazil"],"prefix":"10.1111","volume":"26","author":[{"given":"Olivia Lang","family":"Schultes","sequence":"first","affiliation":[{"name":"Urban Health Observatory of Belo Horizonte Federal University of Minas Gerais  Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria Helena Franco","family":"Morais","sequence":"additional","affiliation":[{"name":"Municipal Health Department  Belo Horizonte Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria da Consola\u00e7\u00e3o Magalh\u00e3es","family":"Cunha","sequence":"additional","affiliation":[{"name":"Urban Health Observatory of Belo Horizonte Federal University of Minas Gerais  Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andr\u00e9a","family":"Sobral","sequence":"additional","affiliation":[{"name":"National School of Public Health Oswaldo Cruz Foundation  Rio de Janeiro Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Waleska Teixeira","family":"Caiaffa","sequence":"additional","affiliation":[{"name":"Urban Health Observatory of Belo Horizonte Federal University of Minas Gerais  Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,11,27]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature12060"},{"key":"e_1_2_7_3_1","first-page":"147","volume-title":"Dengue: guidelines for diagnosis, treatment, prevention, and control","author":"Special Programme for Research and Training in Tropical Diseases, World Health Organization","year":"2009"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/insects9040158"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1590\/S0036-46652012000100009"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0194108"},{"key":"e_1_2_7_7_1","unstructured":"PLISA Health Information Platform for the Americas editor.Reported cases of dengue fever in the Americas by country or territory [Internet]. 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