scholarly journals Predicting the number of cases of dengue infection in Ribeirão Preto, São Paulo State, Brazil, using a SARIMA model

2011 ◽  
Vol 27 (9) ◽  
pp. 1809-1818 ◽  
Author(s):  
Edson Zangiacomi Martinez ◽  
Elisângela Aparecida Soares da Silva

This study aimed to develop a forecasting model for the incidence of dengue in Ribeirão Preto, São Paulo State, Brazil, using time series analysis. The model was performed using the Seasonal Autoregressive Integrated Moving Average (SARIMA). Firstly, we fitted a model considering monthly notifications of cases of dengue recorded from 2000 to 2008 in Ribeirão Preto. We then extracted predicted values for 2009 from the adjusted model and compared them with the number of cases observed for that year. The SARIMA (2,1,3)(1,1,1)12 model offered best fit for the dengue incidence data. The results showed that the seasonal ARIMA model predicts the number of dengue cases very effectively and reliably, and is a useful tool for disease control and prevention.

2019 ◽  
Author(s):  
Jaqueline Goes de Jesus ◽  
Karina Rocha Dutra ◽  
Flavia Cristina da Silva Salles ◽  
Ingra Morales Claro ◽  
Ana Carolina Terzian ◽  
...  

AbstractOver 400 million people are estimated to be at risk of acquiring dengue virus (DENV). Despite efforts to mitigate the impact of DENV epidemics, the virus remains a public health problem in the Americas: more than one million DENV cases were reported in the continent between January and July 2019 DENV was first detected in Brazil in 1982, and Brazil has reported 88% (1,127,244 cases) of all DENV cases in the Americas during 2019 to date. São Paulo state in the southeast of Brazil has reported nearly half of all DENV infections in the country. Here we characterised the genetic diversity of DENV strains circulating in São Paulo state in 2019, at the epicentre of the ongoing DENV epidemic. Using portable nanopore sequencing we generated 20 new DENV genome sequences from viremic patients with suspected dengue infection residing in two of the most-affected municipalities, Araraquara and São José do Rio Preto. We conducted a comprehensive phylogenetic analysis with 1,630 global DENV strains to better understand the evolutionary history of the DENV lineages that currently circulate in the region. The new outbreak strains were classified as DENV2 genotype III (American/Asian genotype). Notably, phylogenetic analysis indicated that the 2019 outbreak is the result of a novel DENV lineage that was recently introduced to Brazil from the Caribbean region. Our genetic analysis further indicates that the introduction and onwards spread of the outbreak lineage (named here DENV2-III BR-4) indicates a new DENV2 lineage replacement in Brazil. Dating phylogeographic analysis suggests that DENV2-III BR-4 was introduced to Brazil in or around early 2014, possibly from the Caribbean region. Our study describes the early detection of a newly introduced and rapidly-expanding DENV2 virus lineage in Brazil.Author SummaryDengue is the most important mosquito-borne viral disease of humans. The disease is caused by the dengue virus (DENV) that is classified within genus Flavivirus. DENV infections are caused by 4 serotypes (DENV 1-4) that are genetically related but antigenically distinct. Dengue infection results in a variety of symptoms that range from mild fever to dengue hemorrhagic fever and/or dengue shock syndrome (DHF/DSS). Clinical outcomes are associated with different types of infection, viral serotypes, genotypes, lineages, and host genetic factors. As a re-emerging infectious disease, DENV has become a serious threat to public health in the Americas, and particularly in Brazil, where it was introduced in the 1980s and became well established due to the country-wide re-infestation of the Aedes aegypti mosquito vector species. During the first six months of 2019, 1,282,183 DENV cases were reported in the Americas, with Brazil reporting a staggering 1,127,244 (88%) of all dengue cases in the continent. To date, no information exists on the genetic composition of the DENV lineage or lineages causing the current epidemic. Here we use portable sequencing to rapidly generate virus genome data from cases occurring in two different are severely-affected municipalities in São Paulo state, Brazil. We find that the 2019 dengue outbreak in Brazil is caused by a newly introduced DENV serotype 2 genotype III (Asian/American) that seems to be replacing previously-circulating DENV2 lineages. We discuss the potential implications of our results regarding the current outbreak in the context of previous outbreaks in the same region.


Author(s):  
Liliane Maria Guimarães de Pinho ◽  
Vera Lúcia Garcia ◽  
Maria Cezira Fantini Nogueira-Martins

Implementation of a multiprofessional residency in family health in a city of São Paulo state: perception of the first residents (2014-2016)


2017 ◽  
Vol 314 (3) ◽  
pp. 1675-1681
Author(s):  
Elvis J. França ◽  
Elisabete A. De Nadai Fernandes ◽  
Felipe Y. Fonseca ◽  
Marcelo R. L. Magalhães ◽  
Mariana L. O. Santos

Author(s):  
Raquel Cardoso de Souza ◽  
Aline Andrade Godoy ◽  
Fábio Kummrow ◽  
Thyago Leandro dos Santos ◽  
Carlos Jesus Brandão ◽  
...  

2021 ◽  
Vol 141 ◽  
pp. 110805
Author(s):  
Giancarlo Aquila ◽  
Wilson Toshiro Nakamura ◽  
Paulo Rotella Junior ◽  
Luiz Celio Souza Rocha ◽  
Edson de Oliveira Pamplona

Author(s):  
Thaís Silvana de Carvalho ◽  
Marcelo Adorna Fernandes ◽  
Frésia Ricardi-Branco ◽  
Aline Marcele Ghilardi ◽  
Bernardo de Campos Pimenta e Marque Peixoto ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3964
Author(s):  
Laryssa Morais ◽  
Victor Nascimento ◽  
Silvio Simões ◽  
Jean Ometto

The urban population increase in the world, the economic expansion, and the rise in living standards associated with society’s habits and lifestyles accelerated the municipal solid waste (MSW) generation in undeveloped countries, such as in Brazil, in which the generation increased by 25% from 2012 to 2017. In the same period, the São Paulo state, the richest Brazilian state, increased its municipal solid waste generation by 51%. All this MSW needed to be collected and transported, and this process has a high economic and environmental cost. Therefore, this study aims to identify, using spatial analysis, the routes used by MSW trucks to estimate the distances traveled to dispose of the MSW on a regional scale considering all municipalities in the São Paulo state. The findings showed that the landfill numbers decrease, mainly individual ones, which receive MSW only from the city where it is located. Otherwise, the consortium landfills number is increasing, as well as the number of municipalities that share the same disposal site. Consequently, the distances to transport MSW from urban areas to final disposal sites increased by about 55% from 2012 to 2017, reaching 613 million kilometers during this period. This total distance is sufficient to make more than 12,806 laps on Earth and contribute to high fuel consumption and greenhouse gas emission.


Author(s):  
Fernando P. F. Zorzenon ◽  
Arthur F. Tomaseto ◽  
Matthew P. Daugherty ◽  
João R. S. Lopes ◽  
Marcelo P. Miranda

2009 ◽  
Vol 205 (1-4) ◽  
pp. 79-91 ◽  
Author(s):  
F. T. Conceição ◽  
D. S. Sardinha ◽  
A. D. G. Souza ◽  
G. R. B. Navarro

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