Fatores ambientais associados à ocorrência de leishmaniose visceral canina em uma área de recente introdução da doença no Estado do Rio de Janeiro, Brasil

Abrantes, Tuanne Rotti; Werneck, Guilherme Loureiro; Almeida, Andréa Sobral de; Figueiredo, Fabiano Borges

doi:10.1590/0102-311x00021117

Cited by 30 publications

(32 citation statements)

References 35 publications

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“…Larger numbers of dogs, both past and present, are related to a greater number of vector feed sources, facilitating the maintenance of infection among dogs. Indirectly, larger numbers of dogs may also be an indication of less care devoted to each of them [ 3 , 29 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

Canine visceral leishmaniasis in Araçatuba, state of São Paulo, Brazil, and its relationship with characteristics of dogs and their owners: a cross-sectional and spatial analysis using a geostatistical approach

Costa

Blangiardo

Rodas³

et al. 2018

BMC Vet Res

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BackgroundThe incidence of visceral leishmaniasis (VL), one of the most important neglected diseases worldwide, is increasing in Brazil. The objectives of this study were to determine the canine VL (CanL) seroprevalence in an urban area of Araçatuba municipality and to evaluate its relationship with the characteristics of dogs and their owners.ResultsThe CanL seroprevalence in the study area was 0.081 (95% credible interval [CI]: 0.068–0.096). The following covariates/categories were positively associated with the occurrence of a seropositive dog: more than 10 dogs that had lived in the house (odds ratio [OR] = 2.36; 95% CI: 1.03–5.43) (baseline: 0–10 dogs); house with dogs that previously died of VL (OR = 4.85; 95% CI: 2.65–8.86) or died of causes other than old age (OR = 2.26; 95% CI: 1.12–4.46) (baseline: natural or no deaths); dogs that spent the day in a sheltered backyard (OR = 2.14; 95% CI: 1.05–4.40); dogs that spent the day in an unsheltered backyard or the street (OR = 2.67; 95% CI: 1.28–5.57) (baseline: inside home). Spatial dependence among observations occurred within about 45.7 m.ConclusionsThe number of dogs that had lived in the house, previous deaths by VL or other cause, and the place the dog stayed during the day were associated with the occurrence of a VL seropositive dog. The short-distance spatial dependence could be related to the vector characteristics, producing a local neighbourhood VL transmission pattern. The geostatistical approach in a Bayesian context using integrated nested Laplace approximation (INLA) allowed to identify the covariates associated with VL, including its spatially dependent transmission pattern.Electronic supplementary materialThe online version of this article (10.1186/s12917-018-1550-9) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Canine visceral leishmaniasis in Araçatuba, state of São Paulo, Brazil, and its relationship with characteristics of dogs and their owners: a cross-sectional and spatial analysis using a geostatistical approach

Costa

Blangiardo

Rodas³

et al. 2018

BMC Vet Res

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“…Environmental and cultural conditions are associated with infection prevalence in both reservoirs and hosts; however, the ability of the vector to infect different hosts and the close contact between owners and their pet dogs can influence the risk of VL infection [2][3][4] . In this scenario, the propagation of VL can be established by the high prevalence of dog seropositivity to canine VL (CVL).…”

Section: Introductionmentioning

confidence: 99%

Spatial and seroepidemiology of canine visceral leishmaniasis in an endemic Southeast Brazilian area

Rodrigues

Benitez

Sevá

et al. 2020

Rev. Soc. Bras. Med. Trop.

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Introduction: Canine visceral leishmaniasis (CVL) is a public health problem, and its prevalence is associated with the coexistence of vectors and reservoirs. CVL is a protozoonosis caused by Leishmania infantum that is endemic in the southeast region of Brazil. Thus, vector and canine reservoir control strategies are needed to reduce its burden. This study aimed to verify the CVL seroprevalence and epidemiology in a municipality in Southeast Brazil to initiate disease control strategies. Methods: A total of 833 dogs were subjected to Dual Path Platform (DPP) testing and enzyme-linked immunosorbent assays. For seropositive dogs, epidemiological aspects were investigated using a questionnaire and a global position system. The data were submitted to simple logistic regression, kernel estimation, and Bernoulli spatial scan statistical analysis. Results: The overall CVL-confirmed seroprevalence was 16.08%. The 28.93% in the DPP screening test was associated with dogs maintained in backyards with trees, shade, animal and/or bird feces, and contact with other dogs and cats, with sick dogs showing the highest chances of infection (odds ratio, 2.6; 95% confidence interval, 2.38-1.98), especially in residences with elderly people. A spatial analysis identified two hotspot regions and detected two clusters in the study area. Conclusions: Our results demonstrated that residences with elderly people and the presence of trees, shade, feces, and pet dogs and cats increased an individual's risk of developing CVL. The major regions where preventive strategies for leishmaniasis were to be initiated in the endemic area were identified in two clusters.

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“…WHO considers VL as one of the priority tropical diseases in the world, and if not treated properly, the individual can progress to death (Abrantes et al, 2018;Baborsa, 2011). According to the Brazilian Ministry of Health, in Brazil there are on average over 3,000 new cases of human kala-azar per year (Ministério da Saúde, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Visceral leishmaniasis (VL), also known as kala-azar, is a zoonosis of great importance for public health. Considered endemic in 65 countries, VL has an estimated incidence of 400,000 new cases and 50,000 deaths per year (Abrantes, Werneck, Almeida, & Figueiredo, 2018).…”

Section: Introductionmentioning

confidence: 99%

Temporal distribution of visceral leishmaniasis in Paraíba state, northeastern brazil, by geographic region, 2012-2017

Silva

Coêlho

Freitas

et al. 2021

RSD

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This study aims to analyze the temporal distribution of human (HVL) and canine visceral leishmaniasis (CVL) in the state of Paraíba between 2012 and 2017, by Intermediate and Immediate Geographic Region (GR). As an ecological study with a quantitative approach, data were collected in the LACEN PB database; Dra. Telma Lobo Central Public Health Laboratory, Paraíba; and refer to positive cases of HVL and CVL presented in the state in the period under study. Poisson Regression Modeling was used to quantify the average number of cases from one year to another. The results revealed that the immediate GRs of Mamanguape - Rio Tinto, Campina Grande, and Cajazeiras present a statistically significant increasing trend in the average number of HVL cases. The immediate GRs of Campina Grande, Patos, Cuité - Nova Floresta, Itaporanga, and João Pessoa revealed a significant increase in the average number of CVL cases during the period analyzed. The need for reorganization of disease control operations and preventive actions was confirmed, especially in those regions identified with growth.

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Fatores ambientais associados à ocorrência de leishmaniose visceral canina em uma área de recente introdução da doença no Estado do Rio de Janeiro, Brasil

Cited by 30 publications

References 35 publications

Canine visceral leishmaniasis in Araçatuba, state of São Paulo, Brazil, and its relationship with characteristics of dogs and their owners: a cross-sectional and spatial analysis using a geostatistical approach

Canine visceral leishmaniasis in Araçatuba, state of São Paulo, Brazil, and its relationship with characteristics of dogs and their owners: a cross-sectional and spatial analysis using a geostatistical approach

Spatial and seroepidemiology of canine visceral leishmaniasis in an endemic Southeast Brazilian area

Temporal distribution of visceral leishmaniasis in Paraíba state, northeastern brazil, by geographic region, 2012-2017

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