Spatio-temporal and neighborhood characteristics of two dengue outbreaks in two arid cities of Mexico

Reyes-Castro, Pablo A.; Harris, Robin B.; Brown, Heidi E.; Christopherson, Gary L.; Ernst, Kacey C.

doi:10.1016/j.actatropica.2017.01.001

Cited by 15 publications

(7 citation statements)

References 36 publications

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“…In studies conducted in Espirito Santo 20 , Rio de Janeiro 21 and in two cities in Mexico 22 , the population density contributed positively to dengue fever's incidence rate. However, for Teixeira and Medronho 23 , not necessarily all areas of high population density are associated with higher incidence rates of dengue fever, as other factors related to socio-demographic and environmental aspects might better account for it.…”

Section: Discussionmentioning

confidence: 98%

Spatial analysis of probable cases of dengue fever, chikungunya fever and zika virus infections in Maranhao State, Brazil

Costa

Branco

Aquino

et al. 2018

Rev. Inst. Med. trop. S. Paulo

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Dengue fever, chikungunya fever, and zika virus infections are increasing public health problems in the world, the last two diseases having recently emerged in Brazil. This ecological study employed spatial analysis of probable cases of dengue fever, chikungunya fever, and zika virus infections reported to the National Mandatory Reporting System (SINAN) in Maranhao State from 2015 to 2016. The software GeoDa version 1.10 was used for calculating global and local Moran indices. The global Moran index identified a significant autocorrelation of incidence rates of dengue (I=0.10; p=0.009) and zika (I=0.07; p=0.03). The study found a positive spatial correlation between dengue and the population density (I=0.31; p<0.001) and a negative correlation with the Performance Index of Unified Health System (PIUHS) by basic care coverage (I=-0.08; p=0.01). Regarding chikungunya fever, there were positive spatial correlations with the population density (I=0.06; p=0.03) and the Municipal Human Development Index (MHDI) (I=0.10; p=0.002), and a negative correlation with the Gini index (I=-0.01; p<0.001) and the PIUHS by basic care coverage (I=-0.18; p<0.001). Lastly, we found positive spatial correlations between Zika virus infections and the population density (I=0.13; p=0.005) and the MHDI (I=0.12; p<0.001), as well as a negative correlation with the Gini index (I=-0.11; p<0.001) and the PIUHS by basic care coverage (I=-0.05; p=0.03). Our results suggest that several socio-demographic factors influenced the occurrence of dengue fever, chikungunya fever, and zika virus infections in Maranhao State.

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Section: Discussionmentioning

confidence: 98%

Spatial analysis of probable cases of dengue fever, chikungunya fever and zika virus infections in Maranhao State, Brazil

Costa

Branco

Aquino

et al. 2018

Rev. Inst. Med. trop. S. Paulo

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“…In this study, we assessed the spatial and temporal heterogeneity in the CHIKV and ZIKV case incidences in the neighbourhoods of Barranquilla between 2014 and 2016. Since the neighbourhood: (a) Socioeconomic stratum [20,32,33,34,35,36], (b) population densities [35,37,38,39], (c) housing densities [33,40], (d) percentage of house or apartment dwellings [33,37,41], (e) percentage of female (domestic worker, noncommuting worker or housewife) residents [33,42,43], (f) percentage of vegetation coverage [44,45], (g) building coverage [46] versus (h) water coverage, (i) distance of residences from large water bodies [37,47], (j) parks and cemeteries [39,44,45,48] or (k) main roads [37,49] were previously identified as risk factors of Aedes aegypti vector breeding and human urban arboviral (DENV) disease transmissions, these parameters were evaluated as possible risk factors that influenced their reported case incidences and distributions during their epidemics in Barranquilla.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Heterogeneity in the Distribution of Chikungunya and Zika Virus Case Incidences during their 2014 to 2016 Epidemics in Barranquilla, Colombia

McHale

Romero-Vivas

Fronterrè

et al. 2019

IJERPH

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Chikungunya virus (CHIKV) and Zika virus (ZIKV) have recently emerged as globally important infections. This study aimed to explore the spatiotemporal heterogeneity in the occurrence of CHIKV and ZIKV outbreaks throughout the major international seaport city of Barranquilla, Colombia in 2014 and 2016 and the potential for clustering. Incidence data were fitted using multiple Bayesian Poisson models based on multiple explanatory variables as potential risk factors identified from other studies and options for random effects. A best fit model was used to analyse their case incidence risks and identify any risk factors during their epidemics. Neighbourhoods in the northern region were hotspots for both CHIKV and ZIKV outbreaks. Additional hotspots occurred in the southwestern and some eastern/southeastern areas during their outbreaks containing part of, or immediately adjacent to, the major circular city road with its import/export cargo warehouses and harbour area. Multivariate conditional autoregressive models strongly identified higher socioeconomic strata and living in a neighbourhood near a major road as risk factors for ZIKV case incidences. These findings will help to appropriately focus vector control efforts but also challenge the belief that these infections are driven by social vulnerability and merit further study both in Barranquilla and throughout the world’s tropical and subtropical regions.

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“…Prior studies of Ae . aegypti in desert climates have occurred in Texas, Arizona, and parts of Mexico [ 76 , 77 ]. In Mexico, a study found differences in the age structure of Ae .…”

Section: Discussionmentioning

confidence: 99%

Household and climate factors influence Aedes aegypti presence in the arid city of Huaquillas, Ecuador

et al. 2021

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Arboviruses transmitted by Aedes aegypti (e.g., dengue, chikungunya, Zika) are of major public health concern on the arid coastal border of Ecuador and Peru. This high transit border is a critical disease surveillance site due to human movement-associated risk of transmission. Local level studies are thus integral to capturing the dynamics and distribution of vector populations and social-ecological drivers of risk, to inform targeted public health interventions. Our study examines factors associated with household-level Ae. aegypti presence in Huaquillas, Ecuador, while accounting for spatial and temporal effects. From January to May of 2017, adult mosquitoes were collected from a cohort of households (n = 63) in clusters (n = 10), across the city of Huaquillas, using aspirator backpacks. Household surveys describing housing conditions, demographics, economics, travel, disease prevention, and city services were conducted by local enumerators. This study was conducted during the normal arbovirus transmission season (January—May), but during an exceptionally dry year. Household level Ae. aegypti presence peaked in February, and counts were highest in weeks with high temperatures and a week after increased rainfall. Univariate analyses with proportional odds logistic regression were used to explore household social-ecological variables and female Ae. aegypti presence. We found that homes were more likely to have Ae. aegypti when households had interruptions in piped water service. Ae. aegypti presence was less likely in households with septic systems. Based on our findings, infrastructure access and seasonal climate are important considerations for vector control in this city, and even in dry years, the arid environment of Huaquillas supports Ae. aegypti breeding habitat.

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Spatio-temporal and neighborhood characteristics of two dengue outbreaks in two arid cities of Mexico

Cited by 15 publications

References 36 publications

Spatial analysis of probable cases of dengue fever, chikungunya fever and zika virus infections in Maranhao State, Brazil

Spatial analysis of probable cases of dengue fever, chikungunya fever and zika virus infections in Maranhao State, Brazil

Spatiotemporal Heterogeneity in the Distribution of Chikungunya and Zika Virus Case Incidences during their 2014 to 2016 Epidemics in Barranquilla, Colombia

Household and climate factors influence Aedes aegypti presence in the arid city of Huaquillas, Ecuador

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