Search results for "Epidemiological surveillance"

showing 7 items of 7 documents

Childhood and Adolescence Cancers in the Palermo Province (Southern Italy): Ten Years (2003-2012) of Epidemiological Surveillance

2018

Italy has one of the highest paediatric cancer incidence rates in Europe. We compared cancer incidence and survival rates in children (0&ndash

MaleRegistriecancer incidencejointpoint regressionHealth Toxicology and Mutagenesislcsh:MedicineSettore MED/42 - Igiene Generale E Applicata0302 clinical medicineNeoplasmsMedicine030212 general & internal medicineRegistriesYoung adultcancer survivalChildeducation.field_of_studyIncidence (epidemiology)Incidenceepidemiological surveillancepopulation-based cancer registrieSurvival RateItaly030220 oncology & carcinogenesisChild PreschoolFemaleHumanpopulation-based cancer registriesAdolescentPopulationDisease clusterArticle03 medical and health sciencesYoung AdultHumanseducationSurvival rateSurvival analysistime trendsbusiness.industrylcsh:RPublic Health Environmental and Occupational HealthCancerInfantmedicine.diseaseCancer registrytime trendNeoplasmbusinesscancer in childhood and adolescenceDemography
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Spatio-temporal small area surveillance of the COVID-19 pandemic

2022

Abstract The emergence of COVID-19 requires new effective tools for epidemiological surveillance. Spatio-temporal disease mapping models, which allow dealing with small units of analysis, are a priority in this context. These models provide geographically detailed and temporally updated overviews of the current state of the pandemic, making public health interventions more effective. These models also allow estimating epidemiological indicators highly demanded for COVID-19 surveillance, such as the instantaneous reproduction number R t , even for small areas. In this paper, we propose a new spatio-temporal spline model particularly suited for COVID-19 surveillance, which allows estimating a…

Statistics and Probabilitymedicine.medical_specialtyCoronavirus disease 2019 (COVID-19)instantaneous reproduction numberComputer sciencespatio-temporal modellingPublic healthPublic health interventionsdisease mappingCOVID-19Context (language use)Management Monitoring Policy and LawData scienceArticleSpatio-temporal modellingUnit of analysisPandemicmedicineEpidemiological surveillanceDisease mappingInstantaneous reproduction numberComputers in Earth SciencesTourism
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Reliability of wastewater analysis for monitoring COVID-19 incidence revealed by a long-term follow-up study

2021

Background Wastewater-based epidemiology has been used for monitoring human activities and waterborne pathogens. Although wastewaters can also be used for tracking SARS-CoV-2 at the population level, the reliability of this approach remains to be established, especially for early warning of outbreaks. Methods We collected 377 samples from different treatment plants processing wastewaters of >1 million inhabitants in Valencia, Spain, between April 2020 and March 2021. Samples were cleaned, concentrated, and subjected to RT-qPCR to determine SARS-CoV-2 concentrations. These data were compared with cumulative disease notification rates over 7 and 14 day periods. Results We amplified SARS-CoV-2…

medicine.medical_specialtyVeterinary medicineCoronavirus disease 2019 (COVID-19)Competing interestsPopulation levelSARS-CoV-2Long term follow upIncidence (epidemiology)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)epidemiological surveillancepublic healthOutbreakLitervirusGeneral MedicineBiologyAsymptomaticMicrobiologyQR1-502wastewater-based epidemiologyWastewaterEpidemiologymedicinemedicine.symptom
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Metropolitan wastewater analysis for COVID-19 epidemiological surveillance

2020

The COVID-19 disease, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a rapidly emerging pandemic which has enforced extreme containment measures worldwide. In the absence of a vaccine or efficient treatment, cost-effective epidemiological surveillance strategies are urgently needed. Here, we have used RT-qPCR for SARS-CoV-2 detection in a series of longitudinal metropolitan wastewaters samples collected from February to April 2020, during the earliest stages of the epidemic in the Region of Valencia, Spain. We were able to consistently detect SARS-CoV-2 RNA in samples taken in late February, when communicated cases in that region were only incipient. We also find…

Economic growthCoronavirus disease 2019 (COVID-19)Short CommunicationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)DeclarationContext (language use)Disease010501 environmental sciencesWastewater01 natural sciences03 medical and health sciences0302 clinical medicinePolitical scienceEnvironmental healthPandemicMedicineHumans030212 general & internal medicinePandemics0105 earth and related environmental sciencesEarly warningTransmission (medicine)business.industrySARS-CoV-2Epidemiological surveillancePublic Health Environmental and Occupational HealthOutbreakCOVID-19Metropolitan areaWastewaterPreparednessEpidemiological surveillanceRNA ViralbusinessInternational Journal of Hygiene and Environmental Health
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CRISPR-Cas12a-Based Detection of SARS-CoV-2 Harboring the E484K Mutation

2021

The novel respiratory virus SARS-CoV-2 is rapidly evolving across the world with the potential of increasing its transmission and the induced disease. Here, we applied the CRISPR-Cas12a system to detect, without the need of sequencing, SARS-CoV-2 genomes harboring the E484K mutation, first identified in the Beta variant and catalogued as an escape mutation. The E484K mutation creates a canonical protospacer adjacent motif for Cas12a recognition in the resulting DNA amplicon, which was exploited to obtain a differential readout. We analyzed a series of fecal samples from hospitalized patients in Valencia (Spain), finding one infection with SARS-CoV-2 harboring the E484K mutation, which was t…

PolymersBiomedical EngineeringBiosensing TechniquesBiologyBiochemistry Genetics and Molecular Biology (miscellaneous)Genomechemistry.chemical_compoundCOVID-19 TestingPeptide LibraryTechnical NoteCRISPRCRISPR diagnosticsHumansGeneticsvirus evolutionSARS-CoV-2Epidemiological surveillanceepidemiological surveillanceCOVID-19General MedicineDNAAmpliconSurface Plasmon ResonanceVirus evolutionProtospacer adjacent motifHEK293 CellschemistryGenetic TechniquesSpainViral evolutionImmunoglobulin GMutation (genetic algorithm)DNA ViralMutationRespiratory virusCRISPR-Cas SystemsDNAACS Synthetic Biology
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Autism spectrum disorder in Italy: demand for an integrated epidemiological surveillance system.

2016

Autism spectrum disorder (ASD) is a complex neurodevelopmental syndrome of emerging public health concern, according to a documented significant increase of diagnosed cases of ASD in Europe and USA. In Italy, actually, it is not possible to estimate at national level a reliable ASD occurrence by using existing health and scholastic data flows. The lack of information has implications on social and healthcare services dedicated to subjects affected by ADS. The database of the Italian institute in charge of social and security assistance was accessed at the provincial level to investigate the ASD cases occurred in the Palermo province. The official reports of all subjects visited in 2013 by I…

integrated epidemiological surveillance systemAutism spectrum disorder; integrated epidemiological surveillance system; epidemiologyepidemiologyAutism spectrum disorderSettore MED/42 - Igiene Generale E Applicata
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Use of ICT to support epidemiological surveillance on a community of university students during SARS-CoV-2 phase 3 pandemic

2021

Populations documenting to date low incidence rates of SARS-CoV-2 infection are immunologically susceptible and at high exposure risk of new COVID-19 outbreaks during phase 3 of the pandemic. Following the experience documented by other countries with regard to the use of Information Communication Technology (ICT) to counteract the current pandemic, Italy has implemented a contact tracing system based on a mobile application. In this work, we describe the proposal of a complementary ICT-based prototypal model of COVID-19 prevention and surveillance system, involving the university students as sentinels acting both in the academic community and the general population.

education.field_of_studyCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PopulationSettore MED/42 - Igiene Generale E ApplicataPhase (combat)SARS-CoV-2 COVID-19 ICT surveillance systemGeographyInformation and Communications TechnologyEnvironmental healthPandemicEpidemiological surveillanceeducationContact tracingINTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING ICCMSE 2020
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