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Infectious Disease: Outbreaks

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Total 28448 results found since Jan 2013.

Dysregulation of Serum Interferon-γ Levels in Vascular Chronic Q Fever Patients: Insights into Disease Pathogenesis.
Abstract A large community outbreak of Q fever occurred in the Netherlands in the period 2007 to 2010. Some of the infected patients developed chronic Q fever, which typically includes pathogen dissemination to predisposed cardiovascular sites, with potentially fatal consequences. To identify the immune mechanisms responsible for ineffective clearance of Coxiella burnetii in patients that developed chronic Q fever, we compared serum concentrations of 47 inflammation-associated markers between patients with acute Q fever, vascular chronic Q fever, and past resolved Q fever. Serum levels of interferon-gamma were str...
Source: Clinical and Vaccine Immunology - April 29, 2015 Category: Allergy & Immunology Authors: Pennings JL, Kremers MN, Hodemaekers HM, Hagenaars JC, Koning OH, Renders NH, Hermans MH, de Klerk A, Notermans DW, Wever PC, Janssen R Tags: Clin Vaccine Immunol Source Type: research

Methods Using Social Media and Search Queries to Predict Infectious Disease Outbreaks.
Conclusions: This prediction method could be the core engine for implementing a (near-) real-time digital surveillance system. A digital surveillance system that uses Internet resources has enormous potential to monitor disease outbreaks in the early phase. PMID: 29181246 [PubMed]
Source: Healthcare Informatics Research - November 29, 2017 Category: Information Technology Tags: Healthc Inform Res Source Type: research

Social media posts and online search behaviour as early-warning system for MRSA outbreaks
ConclusionsDespite several limitations, using information from social media and online search behaviour allows rapid identification of potential MRSA outbreaks, especially in healthcare settings with a low notification compliance. When combined in an automated system with real-time updates, this approach might increase early discovery and subsequent implementation of preventive measures.
Source: Antimicrobial Resistance and Infection Control - May 30, 2018 Category: Infectious Diseases Source Type: research

Google Search Trends Predicting Disease Outbreaks: An Analysis from India.
Conclusions: Similar results were obtained when applying the results of previous studies to specific diseases, and it is considered that many other diseases should be studied at the national and sub-national levels. PMID: 30443418 [PubMed]
Source: Healthcare Informatics Research - November 18, 2018 Category: Information Technology Tags: Healthc Inform Res Source Type: research

Is there a vascular side of the story? Vascular consequences during COVID ‐19 outbreak in Lombardy, Italy
ConclusionCOVID ‐19 infection seems to be not only a pulmonary but also a vascular (arterial and venous) disease. Further study are necessary to described mid and long‐term outcomes in COVID‐19 vascular patients population.
Source: Journal of Cardiac Surgery - October 3, 2020 Category: Cardiovascular & Thoracic Surgery Authors: Daniele Bissacco, Viviana Grassi, Chiara Lomazzi, Maurizio Domanin, Raffaello Bellosta, Gabriele Piffaretti, Santi Trimarchi Tags: A REVIEW ARTICLE Source Type: research

IJERPH, Vol. 20, Pages 3007: COVID-19 Related Early Google Search Behavior and Health Communication in the United States: Panel Data Analysis on Health Measures
The objective of this study is to investigate and understand the relationship between public health measures and the development of the pandemic through Google search behaviors in the United States. Our collected data includes Google search queries related to COVID-19 from 1 January to 4 April 2020. After using unit root tests (ADF test and PP test) to examine the stationary and a Hausman test to choose a random effect model, a panel data analysis is conducted to investigate the key query terms with the newly added cases. In addition, a full sample regression and two sub-sample regressions are proposed to explain: (1) The ...
Source: International Journal of Environmental Research and Public Health - February 9, 2023 Category: Environmental Health Authors: Binhui Wang Beiting Liang Qiuyi Chen Shu Wang Siyi Wang Zhongguo Huang Yi Long Qili Wu Shulin Xu Pranay Jinna Fan Yang Wai-Kit Ming Qian Liu Tags: Article Source Type: research

Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes
Conclusion Google Trends showed a coarse-grained nature, strongly correlating with global epidemiological data, but was weaker at country level, as it was prone to distortions induced by unbalanced media coverage and the digital divide. Global and local health agencies could usefully exploit GT data to identify disease-related information needs and plan proper communication strategies, particularly in the case of health-threatening events.
Source: Infectious Diseases of Poverty - December 10, 2015 Category: Infectious Diseases Source Type: research

CDC Launches Improved Online Foodborne Outbreak Search Tool
The Centers for Disease Control and Prevention (CDC) released a redesigned online tool making it easier to search data on foodborne disease outbreaks. The updated Foodborne Outbreak Online Database Tool (FOOD Tool) lets users search nearly 20 years of outbreak data by state, food, or germ. An estimated 1 in 6 Americans get sick from foodborne illness every year. Tracking and reporting outbreak information is critical to understanding how foodborne illness affects America’s health. Originally developed in 2009, the FOOD Tool includes national foodborne outbreak data reported to CDC from 1998 to 2014. New interactive featu...
Source: BHIC - April 22, 2016 Category: Databases & Libraries Authors: terri ottosen Tags: Emergency Preparedness Public Health Centers for Disease Control foodborne illness online tools Source Type: blogs

Real-time estimation of disease activity in emerging outbreaks using internet search information
by Emily L. Aiken, Sarah F. McGough, Maimuna S. Majumder, Gal Wachtel, Andre T. Nguyen, Cecile Viboud, Mauricio Santillana Understanding the behavior of emerging disease outbreaks in, or ahead of, real-time could help healthcare officials better design interventions to mitigate impacts on affected populations. Most healthcare-based disease surveillance systems, however, have significant inherent reporting delays due t o data collection, aggregation, and distribution processes. Recent work has shown that machine learning methods leveraging a combination of traditionally collected epidemiological information and novel Inter...
Source: PLoS Computational Biology - August 16, 2020 Category: Biology Authors: Emily L. Aiken Source Type: research

IJERPH, Vol. 18, Pages 1563: Investigation of Acinetobacter baumannii Activity in Vascular Surgery Units through Epidemiological Management Based on the Analysis of Antimicrobial Resistance, Biofilm Formation and Genotyping
Conclusion: This study shows a nosocomial spread of XDR A. baumannii ST2 having the blaOXA-51 gene, the blaOXA-24 gene, as well as the blaOXA-23 gene, low biofilm formers, that was prevalent in the vascular surgery unit. To identify the current situation of vascular surgery departments targeted epidemiological investigation was needed. Effective implementation of infection control prevented the spread of the epidemic outbreaks.
Source: International Journal of Environmental Research and Public Health - February 7, 2021 Category: Environmental Health Authors: Anna Szczypta Katarzyna Talaga- Ćwiertnia Ma łgorzata Kielar Pawe ł Krzyściak Anna Gajewska Miros ław Szura Ma łgorzata Bulanda Agnieszka Chmielarczyk Tags: Article Source Type: research

Subregional Nowcasts of Seasonal Influenza Using Search Trends
Conclusions: These results suggest that the proposed methods may be an alternative to the discontinued GFT and that further improvements in the quality of subregional nowcasts may require increased access to more finely resolved surveillance data.
Source: Journal of Medical Internet Research - November 6, 2017 Category: General Medicine Authors: Sasikiran Kandula Daniel Hsu Jeffrey Shaman Source Type: research

Evidence for Global and Disaster Health: Results of a Grey Literature Search
United Kingdom Department of Health. 11/06/2017 This six-page document provides information and a list of resources from a search for grey literature about global and disaster health, especially (but not exclusively) population health, preparedness for disasters (natural or human-generated), emergencies, and disease outbreaks. The search found that grey literature content that is both disaster-related and relevant to low- and middle-income countries is lacking. (PDF)
Source: Disaster Lit: Resource Guide for Disaster Medicine and Public Health - November 15, 2017 Category: International Medicine & Public Health Authors: The U.S. National Library of Medicine Source Type: news

U.S. Ramps Up Testing in Search Vaping Illness Cause as Cases Near 1,500 U.S. Ramps Up Testing in Search Vaping Illness Cause as Cases Near 1,500
U.S. health officials on Thursday reported another 180 cases of vaping-related lung illnesses and announced plans to start testing aerosols produced by e-cigarettes and vaping products as they search for the source of the nationwide outbreak that has so far killed at least 33 people in 24 states.Reuters Health Information
Source: Medscape Medical News Headlines - October 19, 2019 Category: Consumer Health News Tags: Medscape Today News Source Type: news

IJERPH, Vol. 17, Pages 2365: Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index
Shia Wu Predicting the number of new suspected or confirmed cases of novel coronavirus disease 2019 (COVID-19) is crucial in the prevention and control of the COVID-19 outbreak. Social media search indexes (SMSI) for dry cough, fever, chest distress, coronavirus, and pneumonia were collected from 31 December 2019 to 9 February 2020. The new suspected cases of COVID-19 data were collected from 20 January 2020 to 9 February 2020. We used the lagged series of SMSI to predict new suspected COVID-19 case numbers during this period. To avoid overfitting, five methods, namely subset selection, forward selection, lasso ...
Source: International Journal of Environmental Research and Public Health - March 30, 2020 Category: Environmental Health Authors: Qin Sun Wang Wu Chen Shia Wu Tags: Article Source Type: research