PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 15692648

[Public health risk maps using geostatistical methods].

Roberto Wagner Lourenço·Paulo Milton Barbosa Landim
View original source ↗Export metadata ↓

Abstract

The purpose of this paper was to demonstrate an application of geostatistical methods to public health risk maps through the identification of areas with elevated concentrations of heavy metals. The study focused on the element lead (Pb) from aerial transportation or loading of particles due to soil leaching in an area with major urban and industrial concentration in the Baixada Santista on the coastland of São Paulo State, Brazil. Maps with the spatial distribution of lead were produced using ordinary kriging; subsequently indicative kriging was performed to identify soil sites with contamination levels higher than the maximum acceptable level defined by the Sao Paulo State Environmental Control Agency. The resulting maps showed areas with increased probability of public health risk. The methodology proved to be a promising approach for decision-making related to health public policies and environmental planning.

Explore related subjects

BrazilData Interpretation, StatisticalEnvironmental MonitoringHumansLeadPublic HealthRisk AssessmentSoil PollutantsEnglish AbstractJournal ArticleResearch Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Roberto Wagner Lourenço, Paulo Milton Barbosa Landim. 2005-01-28. [Public health risk maps using geostatistical methods].. https://doi.org/10.1590/s0102-311x2005000100017

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2026

Whole-genome sequencing links a Salmonella Newport ST164 outbreak on Fernando de Noronha to prior circulation in the Brazilian poultry supply chain.

Foodborne outbreaks at geographically isolated tourist destinations pose distinctive One Health challenges, combining limited local surveillance capacity, complex intercontinental supply chains, and high visitor turnover. In May 2021, a diarrheal outbreak linked to a gastronomic festival in Fernando de Noronha, that is a remote UNESCO World Heritage island off northeastern Brazil, was attributed to Salmonella enterica serovar Newport ST164. We applied an integrated genomic approach and epidemiological investigation to propose a transmission chain contextualizing and refining case definition of the S. Newport epidemic clone within national and international diversity. Whole-genome sequencing (WGS), SNP-based phylogenomic, pangenome analysis, Salmonella pathogenicity island (SPI) profiling, and resistome characterization was performed on 17 epidemiologically attributed outbreak isolates and 68 contextual genomes from Brazil, France, the United Kingdom, and the United States. The SNP analysis identified a 13 genome clonal core with less than 20 different SNPs demonstrating the possible connection between 9 patient isolates, 2 food isolates, and 2 food handler isolates, consistent with the involvement of colonised kitchen staff in cross-contamination of the ready-to-eat mussel dish. Three poultry isolates in 2020 from a mainland producer, ∼2180 km from Fernando de Noronha, differed only 13 to 17 Core-SNPs from the outbreak core, suggesting prior lineage circulation in the supply chain. Pangenome analysis also supports this evidence revealing near-complete genomic overlap of 4544 shared genes within the 5745 gene clusters (99.9%) between outbreak and non-outbreak backgrounds that mostly differentiate by a defense/prophage-associated accessory module. The resistome comprised intrinsic efflux determinants without acquired resistance and showed 35.3% of intermediate ciprofloxacin susceptibility. This One Health based study provides a WGS genomic reconstruction of a S. Newport ST164 outbreak at a remote tourist island, supporting the possibility of circulation from poultry-associated mainland reservoirs and findings consistent with cross-contamination at a gastronomic seafood festival.

Brazil↗
PubMed2026

Characterization of yam virus X isolates from Dioscorea trifida in Brazil.

OBJECTIVE: Yam virus X (YVX; Potexvirus ecsdioscoreae) is a positive-sense, flexuous RNA virus belonging to the family Alphaflexiviridae. It has been first reported from Guadeloupe, a French archipelago located in the Caribbean Sea. In this study, we investigated the virome in yam (Dioscorea spp.) plant material collected in the state of Bahia (Brazil) by high-throughput sequencing (HTS) on Illumina platform. The objective of the investigation was to explore the occurrence of YVX in yam from South America, and to study its genetic diversity compared to the only one YVX genome sequence available in the GenBank public database. RESULTS: An initial investigation by HTS of bulked RNA extracts (n=23, combined into 4 pools) revealed occurrence of YVX only in samples collected in the region of Valença. Subsequent screening by RT-PCR of the individual samples composing the pool uncovered infection with YVX only in Discorea trifida. Total RNA extracts from three infected plants were individually sequenced, resulting in the assembly of three complete genome sequences of YVX, showing ~84% nucleotide identity to the reference sequence from Guadeloupe. Our results contribute to expanding the pool of sequences available for YVX, supporting detection purposes and stimulating additional investigations for future studies on YVX diversity and evolution.

Brazil↗
PubMed2026

Genomic characterization of carbapenemase-producing Enterobacterales from wastewater reveals the convergence of KPC-2 and GES-16 in Brazil.

Carbapenemase-producing Enterobacterales (CPE) pose a significant public health concern due to the limited therapeutic options and increasing dissemination outside clinical settings. Wastewater treatment plants (WWTPs) have been proposed as relevant environmental reservoirs for antimicrobial-resistant bacteria and mobile genetic elements. In this study, we performed genomic characterization of CPE strains recovered from raw wastewater samples from the influents of different WWTPs. Antimicrobial susceptibility testing revealed multidrug resistance, including coresistance to carbapenems and polymyxins, among Klebsiella pneumoniae, Enterobacter asburiae, and Enterobacter kobei strains. Whole-genome sequencing identified the convergence of the blaKPC-2 and blaGES-16 genes, as well as the presence of blaGES-5 in E. kobei sequence type (ST) 540 strains. Moreover, the blaKPC-2 gene was detected in K. pneumoniae strains belonging to high-risk clones ST11 (capsular types KL64 and KL15) and ST307 (capsular type KL102), and E. asburiae ST384. The blaGES-5 and blaGES-16 genes were associated with class 1 integrons, while the blaKPC-2 gene was embedded within transposons (Tn4401a, Tn4401i, and Tn3-like) and insertion sequences (ISKpn27 and ISKpn6). Notably, genomic analyses and literature review demonstrated that the blaGES-16 gene remains unique to Brazil. The putative pathogenic potential of carbapenem-resistant K. pneumoniae ST11 was also assessed. These findings support the environmental circulation of clinically relevant Enterobacterales genotypes and emphasize the potential role of WWTPs as conduits for CPE dissemination, if not adequately operated. Therefore, genomic surveillance in extra-hospital settings may contribute to a better understanding of antimicrobial resistance ecology and inform One Health mitigation strategies.

Brazil↗