Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012

Carvalho, Silvia; Magalhães, Mônica de Avelar Figueirêdo Mafra; Medronho, Roberto de Andrade

doi:10.11606/s1518-8787.2017051006239

Cited by 23 publications

(25 citation statements)

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“…Regarding the socioeconomic context, a survey conducted in Rio de Janeiro observed that the locations of highest occurrence of classical dengue fever and haemorrhagic fever were not coincident, the latter being more prevalent in poor neighbourhoods and slums, providing clear evidence that social vulnerability may be a major factor influencing the occurrence of aggravation [16]. The present results corroborate these observations, demonstrating that the infestation and autocorrelation indices are most evident in contiguous neighbourhoods and the poorest ones.…”

Section: Discussionsupporting

confidence: 85%

“…It comprises the quantitative study of phenomena that are geographically located in space and may be performed by visualization, exploratory analysis or spatial data modelling methods. This type of approach has been widely used in epidemiological studies and allows for an exploration of the relationship between demographic, environmental and socioeconomic information in order to detect the conditions and determinants of the arboviruses without dissociating them from the context of their territorial spaces [16].…”

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confidence: 99%

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Spatial modelling of the infestation indices of Aedes aegypti: an innovative strategy for vector control actions in developing countries

et al. 2020

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Background: Larval indices such as the house index (HI), Breteau index (BI) and container index (CI) are widely used to interpret arbovirus vector density in surveillance programmes. However, the use of such data as an alarm signal is rarely considered consciously when planning programmes. The present study aims to investigate the spatial distribution pattern of the infestation of Aedes aegypti, considering the data available in the Ae. aegypti Infestation Index Rapid Survey (LIRAa) for the city of Campina Grande, Paraíba State in Brazil. Methods:The global and local Moranʼs indices were used in spatial analysis to measure the effects of spatial dependencies between neighbourhoods, using secondary data related to HI and BI gathered from surveillance service.Results: Our analysis shows that there is a predominance of high rates of mosquito infestation, placing Campina Grande at a near-constant risk of arbovirus outbreaks and epidemics. A highly significant Moranʼs index value (P < 0.001) was observed, indicating a positive spatial dependency between the neighbourhoods in Campina Grande. Using the Moran mapping and LISA mapping, the autocorrelation patterns of Ae. aegypti infestation rates among neighbourhoods have revealed hotpots that should be considered a priority to preventive actions of the entomological surveillance services. Predominance of high infestation rates and clearer relationships of these between neighbourhoods were observed between the months of May and July, the period with the highest rainfall in the city. Conclusions:This analysis is an innovative strategy capable of providing detailed information on infestation locations to the relevant public health authorities, which will enable a more efficient allocation of resources, particularly for arbovirus prevention.

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Section: Discussionsupporting

confidence: 85%

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confidence: 99%

Spatial modelling of the infestation indices of Aedes aegypti: an innovative strategy for vector control actions in developing countries

et al. 2020

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“…Nonetheless, locations with social and economic vulnerability more likely have poorer sanitary conditions and less efficient vector-control interventions, which would facilitate mosquito proliferation. In Rio de Janeiro city, areas in or near favelas were detected as hot spots for dengue [39]. Consistent with our findings, a study conducted in French Guiana indicated that, early in the epidemic, the poorest neighbourhoods would have a greater risk for CHIKV infection [41].…”

Section: Dengue Chikungunya and Zika Multivariate Clusterssupporting

confidence: 89%

“…As dengue has been endemic in Rio de Janeiro for the last three decades and Janeiro has already been identified as a hot spot for dengue and as a key region for dengue diffusion. Previous studies also identified Catumbi, a neighbourhood in the Downtown area, as a high-risk location for dengue [38,39]. In our findings, Catumbi comprised the most likely chikungunya cluster, the second most likely cluster for dengue and the third most likely for Zika.…”

Section: Dengue Chikungunya and Zika Multivariate Clusterssupporting

confidence: 74%

Space-time clusters of dengue, chikungunya, and Zika cases in the city of Rio de Janeiro

Freitas

Cruz

Lowe

et al. 2019

Preprint

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Brazil is a dengue-endemic country where all four dengue virus serotypes circulate and cause seasonal epidemics. Recently, chikungunya and Zika viruses were also introduced. In Rio de Janeiro city, the three diseases co-circulated for the first time in 2015-2016, resulting in what is known as the 'triple epidemic'. In this study, we identify space-time clusters of dengue, chikungunya, and Zika, to understand the dynamics and interaction between these simultaneously circulating arboviruses in a densely populated and heterogeneous city.We conducted a spatio-temporal analysis of weekly notified cases of the three diseases in Rio de Janeiro city (July 2015 -January 2017), georeferenced by 160 neighbourhoods, using Kulldorff's scan statistic with discrete Poisson probability models.There were 26549, 13662, and 35905 notified cases of dengue, chikungunya, and Zika, respectively.The 17 dengue clusters and 15 Zika clusters were spread all over the city, while the 14 chikungunya clusters were more concentrated in the North and Downtown areas. Zika clusters persisted over a longer period of time. The multivariate scan statistic -used to analyse the three diseases simultaneously -detected 17 clusters, nine of which included all three diseases. This is the first study exploring space-time clustering of dengue, chikungunya, and Zika in an intraurban area. In general, the clusters did not coincide in time and space. This is probably the result of the competition between viruses for host resources, and of vector-control attitudes promoted by previous arbovirus outbreaks. The main affected area -the North region -is characterised by a combination of high population density and low human development index, highlighting the importance of targeting interventions in this area. Spatio-temporal scan statistics have the potential to direct interventions to high-risk locations in a timely manner and should be considered as part of the municipal surveillance routine as a tool to optimize prevention strategies. an arboviral disease transmitted by Aedes mosquitoes, has been endemic in Brazil for decades, but vector-control strategies have not led to a significant reduction in the disease burden and were not sufficient to prevent chikungunya and Zika entry and establishment in the country. In Rio de Janeiro city, the first Zika and chikungunya epidemics were detected between 2015-2016, coinciding with a dengue epidemic. Understanding the behaviour of these diseases in a triple epidemic scenario is a necessary step for devising better interventions for prevention and outbreak response. We applied scan statistics analysis to detect spatio-temporal clustering for each disease separately and for all three simultaneously. In general, clusters were not detected in the same locations and time periods, possibly due to competition between viruses for host resources, and change in behaviour of the human population (e.g. intensified vector-control activities in response to increasing cases of a particular arbovirus). Neighbourhoods with high populati...

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“…This unit provides services to 31,000 residents of the Manguinhos District, where most houses have a single room, sanitary issues are still unsolved, monthly family income is usually lower than a the minimum wage, and more than 50% of residents have no more than an elementary school education [13]. Initiatives aimed at decreasing violence have been impeded by the activities of local drug traffickers [14].…”

Section: Methodsmentioning

confidence: 99%

Handgrip Strength and Factors Associated in Poor Elderly Assisted at a Primary Care Unit in Rio de Janeiro, Brazil

et al. 2016

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IntroductionSarcopenia is a condition diagnosed when the patient presents low muscle mass, plus low muscle strength or low physical performance. Muscle weakness in the oldest (dynapenia) is a major public health concern because it predicts future all-cause mortality and is associated with falls, disability, cardiovascular mortality and morbidity. Grip strength is a simple method for assessment of muscle function in clinical practice.ObjectiveTo estimate the grip strength and identify factors associated with handgrip strength variation in elderly people with low socioeconomic status.MethodsCross-sectional study based on a multidimensional assessment of primary care users that were 60 years or older. The sample size was calculated using an estimated prevalence of depression in older adults of 20%. A kappa coefficient of 0.6 with a 95% confidence interval was used to generate a conservative sample size of 180 individuals. Procedures: tests and scales to assess humor, cognition (MMSE), basic (ADL) and instrumental activities (IADL) of daily living, mobility (Timed Up and Go), strength, height, Body Mass Index (BMI) and social support were applied. Questions about falls, chronic diseases and self-rated health (SRH) were also included. Statistical Analysis: Mean, standard deviation and statistical tests were used to compare grip strength means by demographic and health factors. A multivariate linear model was used to explain the relationship of the predictors with grip strength.ResultsThe group was composed predominantly by women (73%) with a very low level of education (mean 3 years of schooling), mean age of 73.09 (± 7.05) years old, good mobility and without IADL impairment. Mean grip strength of male and female were 31.86Kg (SD 5.55) and 21.69Kg (SD 4.48) [p- 0.0001], respectively. Low grip strength was present in 27.7% of women and 39.6% of men. As expected, men and younger participants had higher grip strength than women and older individuals. In the adjusted model, age (p- 0.03), female sex (p- 0.0001), mobility (p- 0.05), height (p- 0.03) and depression (p- 0.03) were independently associated with low grip strength. For every second more in the mobility test, there was a mean decrease of 0.08 Kg in the grip strength. Elders with depression had a mean reduction of 1.74Kg in the grip strength in relation to those in the comparison groups. There was an average reduction of 8.36Kg in the grip strength of elderly females relative to males. For each year of age after 60 years, it was expected an average reduction of 0.11 Kg in the grip strength.Conclusionour results suggest that low grip strength is associated with age, female sex, height, depression and mobility problems in poor elderly. Grip strength can be a simple, quick and inexpensive means of stratifying elders’ risk of sarcopenia in the primary care setting. Efforts should be made to recognize weaker persons and the conditions associated to low grip strength in order to target early interventions to prevent frailty and disability.

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Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012

Cited by 23 publications

References 20 publications

Spatial modelling of the infestation indices of Aedes aegypti: an innovative strategy for vector control actions in developing countries

Spatial modelling of the infestation indices of Aedes aegypti: an innovative strategy for vector control actions in developing countries

Space-time clusters of dengue, chikungunya, and Zika cases in the city of Rio de Janeiro

Handgrip Strength and Factors Associated in Poor Elderly Assisted at a Primary Care Unit in Rio de Janeiro, Brazil

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