Dataset Information

A COVID-19 Hotspot Area: Activities and Epidemiological Findings.

ABSTRACT: By late March 2020, Villa Caldari, a small village of the municipality of Ortona (Abruzzo region), was registering an incidence rate of COVID-19 cases ten times greater than the overall municipality and was declared a hotspot area. Twenty-two days later, epidemiological investigation and sampling were performed, to evaluate SARS-CoV-2 circulation and the presence of SARS-CoV-2 antibodies. Overall, 681 nasopharyngeal swabs and 667 blood samples were collected. Only one resident of the village resulted in being positive for RNA viral shedding, while 73 were positive for SARS-CoV-2 antibodies. The overall seroprevalence was 10.9%. The difference between the seroprevalence of infection in asymptomatic and symptomatic individuals was significant (?2 = 14.50 p-value = 0.0001). Amongst the residents positive for antibodies, fatigue and/or muscle pain, fever and anosmia were the most experienced symptoms, whose most frequent onset was observed during the first two weeks of March. Familial and habit-related clusters were highlighted. Nevertheless, the investigations showed a low SARS-CoV-2 circulation in the village at the time of the sampling, demonstrating virus transmission could be limited when strict emergency measures are followed. Given the favorable results, the emergency measures were then lifted.

SUBMITTER: Cito F

PROVIDER: S-EPMC7692759 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A COVID-19 Hotspot Area: Activities and Epidemiological Findings.

Cito Francesca F Amato Laura L Di Giuseppe Alessandra A Danzetta Maria Luisa ML Iannetti Simona S Petrini Antonio A Lorusso Alessio A Bonfini Barbara B Leone Alessandra A Salini Romolo R Mancinelli Adamo A Torzi Giuseppe G Savini Giovanni G Migliorati Giacomo G Schael Thomas T D'Alterio Nicola N Calistri Paolo P

Microorganisms 20201031 11

By late March 2020, Villa Caldari, a small village of the municipality of Ortona (Abruzzo region), was registering an incidence rate of COVID-19 cases ten times greater than the overall municipality and was declared a hotspot area. Twenty-two days later, epidemiological investigation and sampling were performed, to evaluate SARS-CoV-2 circulation and the presence of SARS-CoV-2 antibodies. Overall, 681 nasopharyngeal swabs and 667 blood samples were collected. Only one resident of the village res ...[more]

PMID: 33142840

Similar Datasets

Project description:Background and study aimsSince December 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative pathogen of coronavirus disease 2019 (COVID-19), has posed a pandemic threat to global health and has challenged health care system in all affected countries.Patients and methodsThis is a combined study including a descriptive part about the changes in the daily work routine of an Interdisciplinary Endoscopic Unit (IEU) and a prospective analysis of patients tested positive for SARS-CoV-2 who required endoscopic interventions. Conclusively, we present the finding of a point-prevalence analysis in the staff of the IEU.ResultsWe present effects of the COVID-19-related restructuring of processes in our interdisciplinary endoscopy unit (IEU) with respect to cancelation of examinations, relocation of staff to other departments, impact of SARS-CoV-2 on medical staff of the IEU, and supply of protective clothing. Additionally, we analyzed the cohort of COVID-19 patients: Sixteen endoscopic interventions were done in ten patients. In all patients with confirmed infection with SARS-CoV-2, emergency endoscopies were required for relevant bleeding situations. Re-endoscopies were required only in critically ill COVID-19 patients.ConclusionsThe restructuring of processes in the IEU was feasible in short time, effective, and can also be applied broadly at least in developed countries [Garbe et al. in Gastroenterology 159:778-780, 2020; Repici A, Pace F, Gabbiadini R, Colombo M, Hassan C, Dinelli M, Group IG-CW, Maselli R, Spadaccini M, Mutignani M, Gabbrielli A, Signorelli C, Spada C, Leoni P, Fabbri C, Segato S, Gaffuri N, Mangiavillano B, Radaelli F, Salerno R, Bargiggia S, Maroni L, Benedetti A, Occhipinti P, De Grazia F, Ferraris L, Cengia G, Greco S, Alvisi C, Scarcelli A, De Luca L, Cereatti F, Testoni PA, Mingotto R, Aragona G, Manes G, Beretta P, Amvrosiadis G, Cennamo V, Lella F, Missale G, Lagoussis P, Triossi O, Giovanardi M, De Roberto G, Cantu P, Buscarini E, Anderloni A, Carrara S, Fugazza A, Galtieri PA, Pellegatta G, Antonelli G, Rosch T, Sharma P (2020) Endoscopy units and the COVID-19 Outbreak: a Multi-Center Experience from Italy. Gastroenterology;]. The endoscopy-related rate of SARS-CoV-2 infection of staff is low, but supply of protective equipment is crucial for this. Endoscopic procedures in COVID-19 patients were not directly related to SARS-CoV-2 infection, but to other underlying diseases or typical complications of long-term ICU treatment.

Project description:Social media can forecast disease dynamics, but infoveillance remains focused on infection spread, with little consideration of media content reliability and its relationship to behavior-driven epidemiological outcomes. Sentiment-encoded social media indicators have been poorly developed for expressed text to forecast healthcare pressure and infer population risk-perception patterns. Here we introduce Infodemic Tomography (InTo) as the first web-based interactive infoveillance cybertechnology that forecasts and visualizes spatio-temporal sentiments and healthcare pressure as a function of social media positivity (i.e., Twitter here), considering both epidemic information and potential misinformation. Information spread is measured on volume and retweets, and the Value of Misinformation (VoMi) is introduced as the impact on forecast accuracy where misinformation has the highest dissimilarity in information dynamics. We validated InTo for COVID-19 in New Delhi and Mumbai by inferring distinct socio-epidemiological risk-perception patterns. We forecast weekly hospitalization and cases using ARIMA models and interpolate spatial hospitalization using geostatistical kriging on inferred risk perception curves between tweet positivity and epidemiological outcomes. Geospatial tweet positivity tracks accurately [Formula: see text]60[Formula: see text] of hospitalizations and forecasts hospitalization risk hotspots along risk aversion gradients. VoMi is higher for risk-prone areas and time periods, where misinformation has the highest non-linear predictability, with high incidence and positivity manifesting popularity-seeking social dynamics. Hospitalization gradients, VoMi, effective healthcare pressure and spatial model-data gaps can be used to predict hospitalization fluxes, misinformation, healthcare capacity gaps and surveillance uncertainty. Thus, InTo is a participatory instrument to better prepare and respond to public health crises by extracting and combining salient epidemiological and social surveillance at any desired space-time scale.

Dataset Information

A COVID-19 Hotspot Area: Activities and Epidemiological Findings.

Publications

A COVID-19 Hotspot Area: Activities and Epidemiological Findings.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets