[No Title Available]

Kawa, Helia; Sabroza, Paulo Chagastelles

doi:10.1590/s0102-311x2002000300034

Cited by 20 publications

(6 citation statements)

References 16 publications

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“…Therefore, as it was previously reported for Lu. intermedia in Rio de Janeiro [79], this distribution suggests that the risk of effective human-parasite-vector contact in urban environments during inter-epidemic periods is still associated with patches of periurban vegetation despite the urban residence cases and the perception of urban transmission by the population, even the health system agents. …”

Section: Resultsmentioning

confidence: 99%

Distribution and Abundance of Phlebotominae, Vectors of Leishmaniasis, in Argentina: Spatial and Temporal Analysis at Different Scales

Quintana

Fernández

Salomón

2012

Journal of Tropical Medicine

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The spatial-temporal analysis of the abundance of insects, vectors of tegumentary leishmaniasis (TL) and visceral leishmaniasis (VL), was performed in Argentina using spatial-temporal increasing scales. In the microscale (microfocal), the effect of the primary vegetation-crop interface in vector abundance was observed, and also how the shelters, food sources, and other environmental characteristics contribute to habitat microheterogeneity and so to a microheterogeneous vector distribution. In the mesoscale (locality or epidemic focus), the results from different foci of TL (rural and periurban) and VL (urban) suggested a metapopulation structure determined partially by quantifiable habitat variables that could explain the increase of risk associated to an increase of vector-human contact due to climatic or anthropogenic changes. In the macroscale (regional), captures of vectors and records of human cases allowed the construction of risk maps and predictive models of vector distribution. In conclusion, in order to obtain valid results transferrable to control programs from spatial studies, special attention should be paid in order to assure the consistency between the spatial scales of the hypotheses, data, and analytical tools of each experimental or descriptive design.

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Section: Resultsmentioning

confidence: 99%

Distribution and Abundance of Phlebotominae, Vectors of Leishmaniasis, in Argentina: Spatial and Temporal Analysis at Different Scales

Quintana

Fernández

Salomón

2012

Journal of Tropical Medicine

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“…12 On the other hand, neighborhoods located in the central region of the city, despite the greater access to basic infrastructure services, presented high urban population density. However, the quality of these services was not assessed.…”

Section: Discussionmentioning

confidence: 99%

Análise espacial da dengue e o contexto socioeconômico no município do Rio de Janeiro, RJ

2009

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OBJECTIVE:To analyze the dengue epidemic in relation to the socioeconomic context according to geographical areas. METHODS:An ecological study was conducted in the municipality of Rio de Janeiro (Southeastern Brazil), in areas delimited as neighborhoods, based on information about notifi ed dengue cases concerning residents in the municipality. The average incidence rate of dengue was calculated between the epidemiological weeks: 48 th of 2001 and 20 th of 2002. The occurrence of dengue was correlated with socioeconomic variables through Pearsons' correlation coeffi cient. Moran's global and local indexes were used to assess the spatial auto-correlation between dengue and the variables that signifi cantly correlated with the disease. The multiple linear regression model and the conditional auto-regression spatial model were used to analyze the relationship between dengue and socioeconomic context. RESULTS:The neighborhoods located in the west zone of the municipality presented high rates of average dengue incidence. The variables presenting signifi cant correlation were: percentage of households connected with the general sanitary network, households with washing machines, and population density per urban area. Moran's spatial auto-correlation index revealed spatial dependence between dengue and the selected variables. The utilized models indicated percentage of households connected with the general sanitary network as the sole variable signifi cantly associated with the disease. The residual fi gures in both models revealed signifi cant spatial auto-correlation, with a positive Moran Index (p<0.001) for linear regression model, and a negative one (p=0.005) for the conditional auto-regression one. CONCLUSIONS:Problems related to basic sanitation contribute decisively to increase the risk of the disease.

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“…The investigation also enabled the identification of other behavior of this endemic disease: the simultaneous production of discontinuous outbreaks, although as a true network of interrelated foci, and their tendency to dissemination through the progressive incorporation of new locales to the endemic area with active transmission 10,b .…”

Section: Introductionmentioning

confidence: 99%

Epidemiological surveillance of tegumentary leishmaniasis: local territorial analysis

et al. 2017

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OBJECTIVETo propose a new operational unit in the locality scale capable of subsidizing the construction of an information system to control the transmission of tegumentary leishmaniasis at this scale, in a region of high endemicity of the Atlantic Forest.METHODSWe examined the adequacy of data and instruments in an area of high endemicity in the Atlantic Forest located in the South of the State of Rio de Janeiro from 1990 to 2012. The study proposed an operational unit called Local Surveillance Unit to make all used databases compatible by adjusting census sectors. This enabled the overlap and comparison of information in different periods.RESULTSThe spreading process of the transmission of tegumentary leishmaniasis in the Baía da Ilha Grande region does not depend on great population movements, and can occur in areas with population growth or decrease. The data information system allowed the adequate identification and characterization of the place of residence. We identified relevant characteristics of the place of transmission, such as self-limited in time and not associated with recent deforestation. The results also highlight the lack of synchronicity in the case production in territorial units involved in the endemic-epidemic process, noting that this process is in constant motion.CONCLUSIONSThe transmission process seems more connected to the presence and movement of rodents that move continuously in the region than to the local density of vectors or the permanence of infected dogs at home. New control strategies targeted at the foci of transmission must be considered. The construction of a new operational unit, called Local Surveillance Unit, was instrumental in the endemic-epidemic process analysis.

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[No Title Available]

Cited by 20 publications

References 16 publications

Distribution and Abundance of Phlebotominae, Vectors of Leishmaniasis, in Argentina: Spatial and Temporal Analysis at Different Scales

Distribution and Abundance of Phlebotominae, Vectors of Leishmaniasis, in Argentina: Spatial and Temporal Analysis at Different Scales

Análise espacial da dengue e o contexto socioeconômico no município do Rio de Janeiro, RJ

Epidemiological surveillance of tegumentary leishmaniasis: local territorial analysis

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