An Integrated Ecosystem Approach for Sustainable Prevention and Control of Dengue in Central Havana

Bonet, Mariano; Spiegel, Jerry; Ibarra, Ana M.; Kourı́, Gustavo; Pintre, Alfredo; Yassi, Annalee

doi:10.1179/oeh.2007.13.2.188

Cited by 19 publications

(12 citation statements)

References 23 publications

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“…These methods have been applied to infectious and vector-borne diseases to study the distribution patterns of the disease, to identify the high-risk areas or hot spots, and to determine the risk factors for the transmission of the disease [11], [30], [33], [57], [58]. However, this is the first attempt to implement GIS mapping techniques to examine the distribution of BFV patterns in Queensland and to provide basic information for further investigation of the social and environmental factors responsible for changing disease patterns.…”

Section: Discussionmentioning

confidence: 99%

“…Geographic information systems (GIS) have been widely adopted in the spatial studies of mosquito-borne diseases [30], [31], [32], [33]. Geo-coding or geo-referencing is the basic GIS procedure, which refers to a spatial location of a data layer which is defined by a known co-ordinate reference system such as latitude and longitude, the reference units (eg, meters) and the coordinating positions of the boundary of the mapped area [34].…”

Section: Introductionmentioning

confidence: 99%

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Spatio-Temporal Patterns of Barmah Forest Virus Disease in Queensland, Australia

2011

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BackgroundBarmah Forest virus (BFV) disease is a common and wide-spread mosquito-borne disease in Australia. This study investigated the spatio-temporal patterns of BFV disease in Queensland, Australia using geographical information system (GIS) tools and geostatistical analysis.Methods/Principal FindingsWe calculated the incidence rates and standardised incidence rates of BFV disease. Moran's I statistic was used to assess the spatial autocorrelation of BFV incidences. Spatial dynamics of BFV disease was examined using semi-variogram analysis. Interpolation techniques were applied to visualise and display the spatial distribution of BFV disease in statistical local areas (SLAs) throughout Queensland. Mapping of BFV disease by SLAs reveals the presence of substantial spatio-temporal variation over time. Statistically significant differences in BFV incidence rates were identified among age groups (χ2 = 7587, df = 7327,p<0.01). There was a significant positive spatial autocorrelation of BFV incidence for all four periods, with the Moran's I statistic ranging from 0.1506 to 0.2901 (p<0.01). Semi-variogram analysis and smoothed maps created from interpolation techniques indicate that the pattern of spatial autocorrelation was not homogeneous across the state.Conclusions/SignificanceThis is the first study to examine spatial and temporal variation in the incidence rates of BFV disease across Queensland using GIS and geostatistics. The BFV transmission varied with age and gender, which may be due to exposure rates or behavioural risk factors. There are differences in the spatio-temporal patterns of BFV disease which may be related to local socio-ecological and environmental factors. These research findings may have implications in the BFV disease control and prevention programs in Queensland.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Patterns of Barmah Forest Virus Disease in Queensland, Australia

2011

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“…Such dengue transmission dynamics are the interaction among humans, dengue viruses, vectors, and ecosystems, of which biotic and abiotic determinants have both direct and indirect influences on dengue transmission [13–16]. Obviously in some cases, a useful set of environmental and sociodemographic factors, which constituted age-dependent classes, numbers and densities of urban populations, economic classes, and inhabitations, are central components of analysis of temporal and spatial relationships of dengue incidences [17–20].…”

Section: Introductionmentioning

confidence: 99%

Ecologic and Sociodemographic Risk Determinants for Dengue Transmission in Urban Areas in Thailand

Koyadun

Butraporn

Kittayapong

2012

Interdisciplinary Perspectives on Infectious Diseases

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This study analyzed the association between household-level ecologic and individual-level sociodemographic determinants and dengue transmission in urban areas of Chachoengsao province, Thailand. The ecologic and sociodemographic variables were examined by univariate analysis and multivariate logistic regression. In the ecologic model, dengue risk was related to households situated in the ecotope of residential mixed with commercial and densely populated urban residential areas (RCDENPURA) (aOR = 2.23, P = 0.009), high historical dengue risk area (aOR = 2.06, P < 0.001), and presence of household window screens (aOR = 1.62, P = 0.023). In the sociodemographic model, the dengue risk was related to householders aged >45 years (aOR = 3.24, P = 0.003), secondary and higher educational degrees (aOR = 2.33, P = 0.013), household members >4 persons (aOR = 2.01, P = 0.02), and community effort in environmental management by clean-up campaign (aOR = 1.91, P = 0.035). It is possible that the preventive measures were positively correlated with dengue risk because these activities were generally carried out in particular households or communities following dengue experiences or dengue outbreaks. Interestingly, the ecotope of RCDENPURA and high historical dengue risk area appeared to be very good predictors of dengue incidences.

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“…Dengue fever is a growing health concern across Latin America, and several outbreaks have occurred in Cuba since the late 1970s (Bonet et al 2007). Detection of a breeding site of the dengue vector, the Aedes Aegypti mosquito, was described as a typical starting point for action.…”

Section: Resultsmentioning

confidence: 99%

Intersectoral action for health at a municipal level in Cuba

Spiegel

Alegret

Clair

et al. 2011

Int J Public Health

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ObjectiveTo consider how Cuba’s acknowledged achievement of excellent health outcomes may relate to how health determinants are addressed intersectorally.MethodsOur team of Canadian and Cuban researchers and health policy practitioners undertook a study to consider the organization and practices involved in addressing health determinants in 2 municipalities (1 urban and 1 rural). The study included a questionnaire of municipal Health Council members and others involved in health and non-health sectors, key informant interviews of policy makers, focus groups in each municipality and examination of three common case scenarios.ResultsRegular engagement of different sectors and other agencies in addressing health determinants was quite systematic and comparable in both municipalities. Specific policies and organizational structures in support of intersectoral actions were frequently cited and illustrated in case scenarios that demonstrate how maintenance of regular linkages facilitates regular pursuit of intersectoral approaches.ConclusionsThe study demonstrates the feasibility of examining processes of intersectoral action for health processes and suggests that further examination in evaluating factors such as training, particular practices, etc., can be a fruitful direction to pursue comparatively and with analytical designs.

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An Integrated Ecosystem Approach for Sustainable Prevention and Control of Dengue in Central Havana

Cited by 19 publications

References 23 publications

Spatio-Temporal Patterns of Barmah Forest Virus Disease in Queensland, Australia

Spatio-Temporal Patterns of Barmah Forest Virus Disease in Queensland, Australia

Ecologic and Sociodemographic Risk Determinants for Dengue Transmission in Urban Areas in Thailand

Intersectoral action for health at a municipal level in Cuba

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