ORCID Profile
0000-0001-7205-7557
Current Organisation
Saint Mary's University
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Publisher: Public Library of Science (PLoS)
Date: 31-08-2021
DOI: 10.1371/JOURNAL.PONE.0256534
Abstract: When it comes to visceral leishmaniasis (VL) in Brazil, one of the main targets of public health policies of surveillance is the control of domestic canine reservoirs of Leishmania infantum . This paper aims to evaluate the effect of the dog population and household environment for the maintenance of natural foci in the transmission to human and animal hosts in an endemic city for VL, Bauru, in Brazil. We collected 6,578 blood s les of dogs living in 3,916 households from Nov.2019 to Mar.2020 and applied geospatial models to predict the disease risk based on the canine population. We used Kernel density estimation, cluster analysis, geostatistics, and Generalized Additive Models (GAM). To validate our models, we used cross-validation and created a receiver operating characteristic (ROC) curve. We found an overall canine VL (CVL) seroprevalence of 5.6% for the s led dogs, while for the households, the positivity rate was 8.7%. Odds ratios (OR) for CVL increased progressively according to the number of canines for dogs (OR 2.70) households that already had CVL in the past increased the chances for CVL currently (OR 2.73) and the cases of CVL increase the chances for human VL cases (OR 1.16). Our models were statistically significant and demonstrated a spatial association between canine and human disease cases, mainly in VL foci that remain endemic. Although the Kernel density ratio map had the best performance (AUC = 82), all the models showed high risk in the city’s northwest area. Canine population dynamics must be considered in public policies, and geospatial methods may help target priority areas and planning VL surveillance in low and middle-income countries.
Publisher: FapUNIFESP (SciELO)
Date: 08-2020
DOI: 10.1590/S0103-4014.2020.3499.008
Abstract: RESUMO Para compreender como a Covid-19 se distribui pelo espaço brasileiro, os geógrafos utilizam-se do raciocínio geográfico apoiados em técnicas de mapeamento e representações espaciais. Nesse sentido, propomos aqui uma série de procedimentos para compreender a doença no espaço, primeiramente com a exploração e descrição dos dados, a análise espacial e a síntese por meio da modelização gráfica, partindo em seguida para a comunicação cartográfica. Como efeito, esperamos que esse caminho teórico e metodológico possa balizar a criação de uma imagem de mundo capaz de responder a demandas mais urgentes postas pela pandemia, ao mesmo tempo criar reflexões sobre como a produção do espaço atual cria vulnerabilidades nesta globalização perversa.
Publisher: Estrabao
Date: 2022
DOI: 10.53455/RE.V3I.14
Abstract: O objetivo deste artigo é: i) discutir a paisagem urbana de Maringá-PR a partir das alterações que têm ocorrido na relação entre sociedade e natureza por meio da superpopulação de pombos ii) compreender de que maneira a superpopulação de pombos reflete no desequilíbrio do ambiente, podendo criar um cenário propício a presença de zoonoses. Diante disso, foram mapeadas as notificações de reclamações da presença de pombos de 2001 a 2012 por meio de ferramentas do geoprocessamento. Subsequentemente, aplicou-se técnicas de estatística espacial e foram realizados trabalhos de c o para analisar a área de estudo. Como resultado, foram identificadas duas áreas críticas à presença de pombos, de centralidade destacada, espaços de possível contaminação pela excessiva população destas aves que têm permanecido onde a ação humana se faz presente. Isto posto, destaca-se que esses espaços precisam de intervenções específicas, tais como reeducação ambiental, para que sociedade e natureza possam conviver de maneira mais harmônica.
Publisher: Springer Science and Business Media LLC
Date: 29-07-2022
DOI: 10.1007/S42770-022-00804-3
Abstract: Brazilian porcupine poxvirus (BPoPV) is a new poxvirus recently described in porcupines (Coendou prehensilis) from Brazil. Herein, we described a free-ranging adult male Coendou (Sphiggurus) spinosus rescued after being found lethargic on the ground in a rural area. The animal presented crusty, edematous, and suppurative skin lesions on the face, tail, and perineum, and yellowish ocular secretion. The diagnosis was performed by histopathology, transmission electron microscopy (TEM), PCR, and sequencing. Microscopically, proliferative and necrotizing dermatitis, subacute, multifocal with ballooning degeneration, and eosinophilic intracytoplasmic viral inclusion bodies were observed. TEM confirmed large brick-shaped virions inside the keratinocyte cytoplasm, measuring about 200-280 × 120-180 nm. Partial fragment of intracellular mature virion membrane protein gene and putative metalloproteinase gene was successfully lified and sequenced, and the strain herein denoted IAL/21 V-102 was classified as BPoPV, showing 99.4% of nucleotide identity to the reference strain UFU/USP001. Enrofloxacin 10% (10 mg/kg) was administered every 24 h through intramuscular injection for 10 days, dipyrone/metamizole (25 mg/kg) every 24 h orally (PO) for 3 days, 0.5 ml (mL) of thymomodulin every 24 h PO for 30 days, and each 48 h for another 15 days. The lesions were cleaned and debrided every 15 days. Seventy-five days after the beginning of the treatment, the cutaneous lesions regressed, the animal gained weight, and was clinically stable. After treatment, the skin biopsy showed only mild epidermal acanthosis, intra-cellular edema, and mild lymphoplasmacytic perivascular dermatitis. No viral particles were observed by TEM and no poxviral DNA was lified by PCR. This study documents the first case of confirmed and treated BPoPV infection in a hairy dwarf porcupine. The implemented therapeutic plan eliminated the infection and improved the general state of the animal.
Publisher: FapUNIFESP (SciELO)
Date: 2022
DOI: 10.1590/0102-311X00272020
Abstract: 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.
Publisher: American Society of Civil Engineers (ASCE)
Date: 09-2023
Publisher: Elsevier BV
Date: 11-2022
DOI: 10.1016/J.ACTATROPICA.2022.106626
Abstract: Previous studies demonstrated that insecticide collars are highly effective in reducing canine visceral leishmaniasis (CVL) however, it is unclear if the efficacy differs by socioeconomic conditions across erse communities. This study aimed fourfold: (i) to evaluate the protection of 4% impregnated deltamethrin collared (DMC) dogs in different areas of an endemic city for visceral leishmaniasis (VL) (ii) to analyze socioeconomic variables with the seroconversion rates (iii) to analyze the indirect effect of DMC on untreated dogs in areas of intervention and, (iv) to evaluate the potential transmission to other dogs in the same household when one positive dog is present. The study employed the municipality of Bauru, São Paulo, Brazil, as the area of interest and used Geographic Information System tools to fit binary logistic regression models. Dogs were ided into three cohort studies: intervention with DMC (I), indirect effect of DMC (IE), and control (C). Pre-intervention, lower mean income was associated with higher rates of CVL and a 142% increase in the odds of transmission (OR = 1.42, p-value = 0.001, CI 1.14,1.77). Post-intervention, lower-income areas depicted greater efficacy (76%) than higher-income areas (45%). The overall efficacy of DMC in preventing CVL was 63% however, seroconversion rates were higher for IE (6.02%) than C (3.78%), revealing the failure of the indirect protection of DMC to manage the spread of the disease among the general non-wearing DMC canine population living in the same area. The protected dogs may repel the vectors, and non-protected dogs attract them, creating a higher transmission rate for non-protected dogs. Greater seroconversion was observed for living with an infected dog (10.20% in IE and 8.75% in C) than for the indirect effect of DMC, demonstrating the social burden of CVL. Overall, uncollared dogs have three times higher odds of being infected with CVL than DMC dogs (p < 0.005), and uncollared dogs living with (an) infected dog(s) in the same household can reach 3.5 times higher odds than those living with negative ones (p < 0.005). The results may assist in enhancing public policies and minimizing inequality in low and middle-income countries that suffer from neglected diseases such as VL.
Publisher: FapUNIFESP (SciELO)
Date: 10-2019
DOI: 10.1590/1413-812320182410.25452017
Abstract: The geographical scale has been broadly discussed in an attempt to formulate a concept that succeeds in explaining different space-related realities. In the various sectors of health planning, geographic categories and concepts have been adopted without understanding the problems inherent to the geographical scale, which directly affects public policies implemented and, consequently, people's lives. The scope of this paper was to discuss the concept of scale based on the different scale levels and the difficulty of their implementation by means of the activities of the organs that operate in public health surveillance that deal with visceral leishmaniasis. A systematic review of the literature was conducted to show how the debate about geographical scale and health is still incipient. Geographical concepts were used, integrating municipal, state and national policies from the perspective of the geographic scale. Thus, the contention is that cooperation between health agencies and society is possible by the transposition of scales, creating an environment of solidarity and a more effective health system. The discussion does not end here, but it will make it viable to reflect on the theoretical and methodological options in research and in public health.
Publisher: Cold Spring Harbor Laboratory
Date: 22-05-2021
DOI: 10.1101/2021.05.18.21257380
Abstract: When it comes to visceral leishmaniasis (VL) in Brazil, one of the main targets of public health policies of surveillance is the control of domestic canine reservoirs of Leishmania infantum . This paper aims to evaluate the effect of the household environment risk in the maintenance of natural foci and in the transmission to human and animal hosts in an endemic city for VL, Bauru, in Brazil. We collected 6,578 blood s les of dogs living in 3,916 households from Nov.2019 to Mar.2020 and applied geospatial models to predict the disease risk based on the canine population. We used Kernel density estimation, cluster analysis, geostatistics and Generalized Additive Models (GAM). To validate our models, we used cross-validation and created a ROC graph. We found an overall canine VL (CVL) prevalence of 5.6%. Odds ratios (OR) for CVL increased progressively according to the number of canines for dogs (OR 2.70) households that already had CVL in the past increased the chances for CVL currently (OR 2.73) and the cases of CVL increase the chances for human VL cases (OR 1.16). Our models were statistically significant and demonstrated an association between the canine and human disease, mainly in VL foci that remain endemic. Although the Kernel ratio map had the best performance (AUC=82), all the models showed high risk in the city’s northwest area. Canine population dynamics must be considered in public policies and geospatial methods may help target priority areas and planning VL surveillance in low and middle-income countries. Two or more dogs in a household increase the chances for canine visceral leishmaniasis. Canine visceral leishmaniasis or households with positive dogs increase the chances for human visceral leishmaniasis. Households that already had an infected dog increase the chances for canine visceral leishmaniasis, and it can work as silent endemic areas. More than 40 dogs in an area of influence of household (100m buffer) increase the chances for canine and human visceral leishmaniasis. Canine population dynamics must be considered in public policies regarding visceral leishmaniasis control in low and middle-income countries. Spatial analysis tools can bring new insights into decision-making and public policies regarding visceral leishmaniasis.
Publisher: EDUFU - Editora da Universidade Federal de Uberlandia
Date: 20-06-2020
Abstract: Contexto: A pandemia de COVID-19 tem demandado esforços dos sistemas de saúde em todo mundo. Uma análise local e geográfica, elaborada por meio de ferramentas de geotecnologias, é capaz de orientar a tomada de decisão e definir áreas prioritárias ao enfrentamento dessa nova doença. Objetivo: O presente estudo faz parte do esforço do Laboratório de Biogeografia e Geografia da Saúde da UNESP de Presidente Prudente para dar suporte à tomada de decisão em situação de emergência em saúde pública. Para isso, tem como objetivo analisar a concentração de casos suspeitos de COVID-19 em Presidente Prudente – SP, Brasil, considerando também as medidas de isolamento social. Metodologia: Os dados são oriundos da Secretaria Municipal de Saúde de Presidente Prudente (de 28/02/2020 a 30/04/2020) e do Estado de São Paulo. Utilizamos uma API de geocodificação do Google Maps e elaboramos os mapeamentos em Sistema de Informação Geográfica. Calculamos a função K de Ripley dos casos de COVID-19, aplicamos o estimador de intensidade de Kernel e cruzamos as áreas de maiores concentrações dos casos com variáveis socioeconômicas do IBGE (menor renda, maior número de idosos e habitantes) para a identificação de áreas vulneráveis. Resultados: Os casos em Presidente Prudente estão aglomerados de 0,4 a 3,4 km. Identificamos cinco áreas de maior intensidade dos casos da doença, tanto em áreas mais centrais como mais distantes, das quais, por vulnerabilidade, as zonas quatro e dois são indicadas como prioritárias para o desenvolvimento de ações de monitoramento e vigilância. Também identificamos baixo índice médio de isolamento social em Presidente Prudente (46%), abaixo dos valores recomendados ( %) que, por sua vez, estão correlacionados negativamente (-0,52, p-valor .05) com os casos de COVID-19 quatro dias após as taxas de isolamento.
No related grants have been discovered for Patricia Matsumoto.