scholarly journals Cases and distribution of visceral leishmaniasis in western São Paulo: A neglected disease in this region of Brazil

2021 ◽  
Vol 15 (6) ◽  
pp. e0009411
Author(s):  
Regiane Soares Santana ◽  
Karina Briguenti Souza ◽  
Fernanda Lussari ◽  
Elivelton Silva Fonseca ◽  
Cristiane Oliveira Andrade ◽  
...  
Keyword(s):  
Visceral Leishmaniasis ◽  
Spatial Autocorrelation ◽  
Regional Scale ◽  
Spatial Association ◽  
Rapid Test ◽  
Sao Paulo ◽  
Sand Fly ◽  
Lutzomyia Longipalpis ◽  
São Paulo ◽  
Neglected Disease

Visceral leishmaniasis (VL) is one of the most prevalent parasitic diseases worldwide. In 2019, 97% of the total numbers of cases in Latin America were reported in Brazil. In São Paulo state, currently 17.6% of infected individuals live in the western region. To study this neglected disease on a regional scale, we describe the spread of VL in 45 municipalities of the Regional Network for Health Assistance11(RNHA11). Environmental, human VL (HVL), and canine VL (CVL) cases, Human Development Index, and Lutzomyia longipalpis databases were obtained from public agencies. Global Moran’s I index and local indicators of spatial association (LISA) statistics were used to identify spatial autocorrelation and to generate maps for the identification of VL clusters. On a local scale, we determined the spread of VL in the city of Teodoro Sampaio, part of the Pontal of Paranapanema. In Teodoro Sampaio, monthly peri-domicile sand fly collection; ELISA, IFAT and Rapid Test serological CVL; and ELISA HVL serum surveys were carried out. In RNHA11 from 2000 to 2018, Lu. longipalpis was found in 77.8%, CVL in 69%, and HVL in 42.2% of the 45 municipalities, and 537 individuals were notified with HVL. Dispersion occurred from the epicenter in the north to Teodoro Sampaio, in the south, where Lu. longipalpis and CVL were found in 2010, HVL in 2018, and critical hotspots of CVL were found in the periphery. Moran’s Global Index showed a weak but statistically significant spatial autocorrelation related to cases of CVL (I = 0.2572), and 11 municipalities were identified as priority areas for implementing surveillance and control actions. In RNHA11, a complex array of socioeconomic and environmental factors may be fueling the epidemic and sustaining endemic transmission of VL, adding to the study of a neglected disease in a region of São Paulo, Brazil.

scholarly journals Description of six autochthonous cases of canine visceral leishmaniasis diagnosed in Pedregulho (São Paulo, Brazil)

2015 ◽  
Vol 24 (2) ◽  
pp. 216-219
Author(s):  
Cássia Regina de Abreu ◽  
Ana Cláudia Parpinelli ◽  
Romeika Reis de Lima ◽  
Luis Gustavo Gosuen Gonçalves Dias ◽  
Lucas de Freitas Pereira ◽  
...  
Keyword(s):  
Visceral Leishmaniasis ◽  
Clinical Signs ◽  
Sao Paulo ◽  
Sand Fly ◽  
Lutzomyia Longipalpis ◽  
Canine Visceral Leishmaniasis ◽  
São Paulo ◽  
Leishmania Chagasi ◽  
The City ◽  
Degrees Of Severity

Visceral leishmaniasis is an infectious disease of chronic, emerging and zoonotic nature that presents various degrees of severity. In Brazil, this illness is caused by Leishmania infantum (Leishmania chagasi), which is transmitted by the bite of the sand fly Lutzomyia longipalpis, and dogs are its main reservoir. Given the increasing spread of this disease across Brazil, the aim of this study was to report on six cases of canine visceral leishmaniasis, diagnosed in June 2013, in the city of Pedregulho, State of São Paulo, considered to be a non-endemic area and free of phlebotomine sand flies. The diagnosis was based on clinical signs of the patients and additional tests (serological and parasitological). It was concluded that the diagnosis of leishmaniasis is complex because the clinical signs are similar to other systemic diseases, thus justifying the importance of parasitological test of bone marrow, considered "gold standard", in the confirmation of the disease. In addition, the area was not, until now, considered risk place, despite notification.

scholarly journals Dispersal of Lutzomyia longipalpis and expansion of canine and human visceral leishmaniasis in São Paulo State, Brazil

Acta Tropica ◽  
2016 ◽  
Vol 164 ◽  
pp. 233-242 ◽  
Author(s):  
Agda Maria Oliveira ◽  
Carolina Portugal Vieira ◽  
Margareth Regina Dibo ◽  
Marluci Monteiro Guirado ◽  
Lilian Aparecida Colebrusco Rodas ◽  
...  
Keyword(s):  
Visceral Leishmaniasis ◽  
Sao Paulo ◽  
Lutzomyia Longipalpis ◽  
São Paulo ◽  
Paulo State ◽  
Human Visceral Leishmaniasis ◽  
São Paulo State

scholarly journals Occurrence of Lutzomyia longipalpis andhuman and canine cases of visceral leishmaniasis and evaluation of their expansion in the Northwest region of the State of São Paulo, Brazil

2016 ◽  
Vol 49 (1) ◽  
pp. 41-50 ◽  
Author(s):  
Agda Maria Oliveira ◽  
Marluci Monteiro Guirado ◽  
Margareth Regina Dibo ◽  
Lilian Aparecida Colebrusco Rodas ◽  
Monica Regina Bocchi ◽  
...  
Keyword(s):  
Visceral Leishmaniasis ◽  
Sao Paulo ◽  
The State ◽  
Lutzomyia Longipalpis ◽  
São Paulo ◽  
Northwest Region

scholarly journals The path of canine visceral leishmaniasis versus the path of Center for Zoonoses Control: contributions of spatial analysis to health

2022 ◽  
Vol 38 (1) ◽  
Author(s):  
Patricia Sayuri Silvestre Matsumoto ◽  
Edilson Ferreira Flores ◽  
José Seguinot Barbosa ◽  
Umberto Catarino Pessoto ◽  
José Eduardo Tolezano ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Visceral Leishmaniasis ◽  
Spatial Autocorrelation ◽  
Public Policies ◽  
Public Health Problem ◽  
Sao Paulo ◽  
P Value ◽  
São Paulo ◽  
Paulo State ◽  
São Paulo State

Visceral leishmaniasis (VL) is a public health problem in Brazilian municipalities. As much as there is a planning of public policies regards VL in São Paulo State, new cases have been reported and spread. This paper aims to discuss how the Center for Zoonoses Control conducts its actions spatially in endemic city of Presidente Prudente, São Paulo State. Data are from the Municipal Health Department of Presidente Prudente, Adolfo Lutz Institute, and Brazilian Institute of Geography and Statistics. We spatially estimated the dog population per census tract and used geoprocessing tools to perform choropleth maps, spatial trends, and spatial autocorrelation. We found a spatial pattern of higher prevalence in the city’s outskirt and a positive statistically significant spatial autocorrelation (I = 0.2, p-value < 0.000) with clusters of high-high relationships in the Northwest part of the city. Moreover, we identified a different direction in the path of the conducted serosurveys versus the canine VL trend, which stresses the fragility of the Center for Zoonoses Control actions to control the disease. The Center for Zoonoses Control always seems to chase the disease. The spatial analysis may be useful for rethinking how the service works and helps in public policies.

scholarly journals Spatial association between the incidence rate of Covid-19 and poverty in the São Paulo municipality, Brazil

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Marcos César Ferreira
Keyword(s):  
Spatial Autocorrelation ◽  
Incidence Rate ◽  
Spatial Dependence ◽  
Spatial Association ◽  
Sao Paulo ◽  
Moran’S I ◽  
São Paulo ◽  
Moran's I ◽  
The Social ◽  
Spatially Distributed

In this article, we investigated the spatial dependence of the incidence rate by Covid-19 in the São Paulo municipality, Brazil, including the association between the spatially smoothed incidence rate (INC_EBS) and the social determinants of poverty, the average Salary (SAL), the percentage of households located in slums (SLUMS) and the percentage of the population above 60 years of age (POP>60Y). We used data on the number notified cases accumulated per district by May 18, 2020. The spatial dependence of the spatially smoothed incidence rate was investigated through the analysis of univariate local spatial autocorrelation using Moran’s I. To evaluate the spatial association between the INC_EBS and the determinants SAL, POP>60Y and SLUMS, we used the local bivariate Moran’s I. The results showed that the spatially smoothed incidence rate for Covid-19 presented significant spatial autocorrelation (I = 0.333; p<0.05), indicating that the cases were concentrated in clusters of neighbouring districts. The INC_EBS showed a negative spatial association with SAL (I = - 0.253, p<0.05) and POP>60Y (I = -0.398, p<0.05). We also found that the INC_EBS showed a positive spatial association with households located in the slums (I = 0.237, p<0.05). Our study concluded that the households where the population most vulnerable to Covid-19 resides were spatially distributed in the districts with lower salaries, higher percentages of slums and lower percentages of the population above 60 years of age.

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