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Integrated Disease Surveillance

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https://www.readbyqxmd.com/read/28430095/window-of-opportunity-for-new-disease-surveillance-developing-keyword-lists-for-monitoring-mental-health-and-injury-through-syndromic-surveillance
#1
Ursula Lauper, Jian-Hua Chen, Shao Lin
Studies have documented the impact that hurricanes have on mental health and injury rates before, during, and after the event. Since timely tracking of these disease patterns is crucial to disaster planning, response, and recovery, syndromic surveillance keyword filters were developed by the New York State Department of Health to study the short- and long-term impacts of Hurricane Sandy. Emergency department syndromic surveillance is recognized as a valuable tool for informing public health activities during and immediately following a disaster...
April 2017: Disaster Medicine and Public Health Preparedness
https://www.readbyqxmd.com/read/28425959/the-cost-of-arbovirus-disease-prevention-in-europe-area-wide-integrated-control-of-tiger-mosquito-aedes-albopictus-in-emilia-romagna-northern-italy
#2
Massimo Canali, Stefano Rivas-Morales, Philippe Beutels, Claudio Venturelli
Aedes albopictus (tiger mosquito) has become the most invasive mosquito species worldwide, in addition to being a well-known vector of diseases, with a proven capacity for the transmission of chikungunya and dengue viruses in Europe as well as the Zika virus in Africa and in laboratory settings. This research quantifies the cost that needs to be provided by public-health systems for area-wide prevention of arboviruses in Europe. This cost has been calculated by evaluating the expenditure of the plan for Aedes albopictus control set up in the Emilia-Romagna region (Northern Italy) after a chikungunya outbreak occurred in 2007...
April 20, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28418738/real-time-surveillance-of-infectious-diseases-taiwan-s-experience
#3
Shu-Wan Jian, Chiu-Mei Chen, Cheng-Yi Lee, Ding-Ping Liu
Integration of multiple surveillance systems advances early warning and supports better decision making during infectious disease events. Taiwan has a comprehensive network of laboratory, epidemiologic, and early warning surveillance systems with nationwide representation. Hospitals and clinical laboratories have deployed automatic reporting mechanisms since 2014 and have effectively improved timeliness of infectious disease and laboratory data reporting. In June 2016, the capacity of real-time surveillance in Taiwan was externally assessed and was found to have a demonstrated and sustainable capability...
March 2017: Health Security
https://www.readbyqxmd.com/read/28408621/endocrine-therapy-initiation-and-medical-oncologist-utilization-among-women-diagnosed-with-ductal-carcinoma-in-situ
#4
Chelsea Anderson, Anne Marie Meyer, Stephanie B Wheeler, Lei Zhou, Katherine E Reeder-Hayes, Hazel B Nichols
BACKGROUND: Though randomized clinical trials have demonstrated a reduction in second breast events with endocrine therapy among women with ductal carcinoma in situ (DCIS), use of these therapies remains highly variable. The purpose of this study was to evaluate patient and treatment-related factors associated with endocrine therapy initiation and medical oncology specialty utilization after DCIS. MATERIALS AND METHODS: We identified women with a DCIS diagnosis during 2006-2010 in the North Carolina Central Cancer Registry with linked public and private insurance claims in the University of North Carolina Integrated Cancer Information Surveillance System data resource...
April 13, 2017: Oncologist
https://www.readbyqxmd.com/read/28402551/a-risk-prediction-score-for-acute-kidney-injury-in-the-intensive-care-unit
#5
Rakesh Malhotra, Kianoush B Kashani, Etienne Macedo, Jihoon Kim, Josee Bouchard, Susan Wynn, Guangxi Li, Lucila Ohno-Machado, Ravindra Mehta
Background.: Acute kidney injury (AKI) is common in critically ill patients and is associated with high morbidity and mortality. Early identification of high-risk patients provides an opportunity to develop strategies for prevention, early diagnosis and treatment of AKI. Methods.: We undertook this multicenter prospective cohort study to develop and validate a risk score for predicting AKI in patients admitted to an intensive care unit (ICU). Patients were screened for predictor variables within 48 h of ICU admission...
April 10, 2017: Nephrology, Dialysis, Transplantation
https://www.readbyqxmd.com/read/28399810/a-programme-to-spread-egfr-graph-surveillance-for-the-early-identification-support-and-treatment-of-people-with-progressive-chronic-kidney-disease-assist-ckd-protocol-for-the-stepped-wedge-implementation-and-evaluation-of-an-intervention-to-reduce-late-presentation
#6
Hugh Gallagher, Shona Methven, Anna Casula, Nicola Thomas, Charles R V Tomson, Fergus J Caskey, Tracey Rose, Stephen J Walters, David Kennedy, Anne Dawnay, Martin Cassidy, Richard Fluck, Hugh C Rayner, Michael Nation
BACKGROUND: Patients who start renal replacement therapy (RRT) for End-Stage Kidney Disease (ESKD) without having had timely access to specialist renal services have poor outcomes. At one NHS Trust in England, a community-wide CKD management system has led to a decline in the incident rate of RRT and the lowest percentage of patients presenting within 90 days of starting RRT in the UK. We describe the protocol for a quality improvement project to scale up and evaluate this innovation...
April 11, 2017: BMC Nephrology
https://www.readbyqxmd.com/read/28392994/medical-big-data-promise-and-challenges
#7
Choong Ho Lee, Hyung-Jin Yoon
The concept of big data, commonly characterized by volume, variety, velocity, and veracity, goes far beyond the data type and includes the aspects of data analysis, such as hypothesis-generating, rather than hypothesis-testing. Big data focuses on temporal stability of the association, rather than on causal relationship and underlying probability distribution assumptions are frequently not required. Medical big data as material to be analyzed has various features that are not only distinct from big data of other disciplines, but also distinct from traditional clinical epidemiology...
March 2017: Kidney Research and Clinical Practice
https://www.readbyqxmd.com/read/28391203/a-spatial-temporal-method-to-detect-global-influenza-epidemics-using-heterogeneous-data-collected-from-the-internet
#8
Xichuan Zhou, Fan Yang, Yujie Feng, Qin Li, Fang Tang, Shengdong Hu, Zhi Lin, Lei Zhang
The 2009 influenza pandemic teaches us how fast the influenza virus could spread globally within a short period of time. To address the challenge of timely global influenza surveillance, this paper presents a spatial-temporal method that incorporates heterogeneous data collected from the Internet to detect influenza epidemics in real time. Specifically, the influenza morbidity data, the influenza-related Google query data and news data, and the international air transportation data are integrated in a multivariate hidden Markov model, which is designed to describe the intrinsic temporal-geographical correlation of influenza transmission for surveillance purpose...
April 4, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28378820/validation-of-copy-number-variation-analysis-for-next-generation-sequencing-diagnostics
#9
Jamie M Ellingford, Christopher Campbell, Stephanie Barton, Sanjeev Bhaskar, Saurabh Gupta, Rachel L Taylor, Panagiotis I Sergouniotis, Bradley Horn, Janine A Lamb, Michel Michaelides, Andrew R Webster, William G Newman, Binay Panda, Simon C Ramsden, Graeme Cm Black
Although a common cause of disease, copy number variants (CNVs) have not routinely been identified from next-generation sequencing (NGS) data in a clinical context. This study aimed to examine the sensitivity and specificity of a widely used software package, ExomeDepth, to identify CNVs from targeted NGS data sets. We benchmarked the accuracy of CNV detection using ExomeDepth v1.1.6 applied to targeted NGS data sets by comparison to CNV events detected through whole-genome sequencing for 25 individuals and determined the sensitivity and specificity of ExomeDepth applied to these targeted NGS data sets to be 100% and 99...
April 5, 2017: European Journal of Human Genetics: EJHG
https://www.readbyqxmd.com/read/28374598/-the-possibilities-for-the-implementation-of-whole-genome-sequencing-wgs-of-neisseria-meningitidis-in-molecular-surveillance-of-invasive-meningococcal-disease-in-the-czech-republic
#10
Z Vacková, P Křížová, Z Jandová, M Musílek, J Kozáková
The implementation of the surveillance of invasive meningococcal disease is recommended worldwide. The Whole Genome Sequencing (WGS) method increasingly comes to the fore, which provides the possibilities for further detailed characterization of Neisseria meningitidis and makes it possible to integrate all conventional sequencing approaches into one method. Six N. meningitidis isolates from 2013 and 2015, characterized previously by Sanger amplicon sequencing, were selected to be studied by the novel WGS method...
2017: Epidemiologie, Mikrobiologie, Imunologie
https://www.readbyqxmd.com/read/28367433/flumob-enabling-surveillance-of-acute-respiratory-infections-in-health-care-workers-via-mobile-phones
#11
May Oo Lwin, Chee Fu Yung, Peiling Yap, Karthikayen Jayasundar, Anita Sheldenkar, Kosala Subasinghe, Schubert Foo, Udeepa Gayantha Jayasinghe, Huarong Xu, Siaw Ching Chai, Ashwin Kurlye, Jie Chen, Brenda Sze Peng Ang
Singapore is a hotspot for emerging infectious diseases and faces a constant risk of pandemic outbreaks as a major travel and health hub for Southeast Asia. With an increasing penetration of smart phone usage in this region, Singapore's pandemic preparedness framework can be strengthened by applying a mobile-based approach to health surveillance and control, and improving upon existing ideas by addressing gaps, such as a lack of health communication. FluMob is a digitally integrated syndromic surveillance system designed to assist health authorities in obtaining real-time epidemiological and surveillance data from health-care workers (HCWs) within Singapore, by allowing them to report influenza incidence using smartphones...
2017: Frontiers in Public Health
https://www.readbyqxmd.com/read/28362820/a-large-scale-stochastic-spatiotemporal-model-for-aedes-albopictus-borne-chikungunya-epidemiology
#12
Kamil Erguler, Nastassya L Chandra, Yiannis Proestos, Jos Lelieveld, George K Christophides, Paul E Parham
Chikungunya is a viral disease transmitted to humans primarily via the bites of infected Aedes mosquitoes. The virus caused a major epidemic in the Indian Ocean in 2004, affecting millions of inhabitants, while cases have also been observed in Europe since 2007. We developed a stochastic spatiotemporal model of Aedes albopictus-borne chikungunya transmission based on our recently developed environmentally-driven vector population dynamics model. We designed an integrated modelling framework incorporating large-scale gridded climate datasets to investigate disease outbreaks on Reunion Island and in Italy...
2017: PloS One
https://www.readbyqxmd.com/read/28361558/mining-the-fecal-proteome-from-biomarkers-to-personalised-medicine
#13
Ping Jin, Kui Wang, Canhua Huang, Edouard C Nice
Fecal proteomics has gained increased prominence in recent years. It can provide insights into the diagnosis and surveillance of many bowel diseases by both identifying potential biomarkers in stool samples and helping identify disease-related pathways. Fecal proteomics has already shown its potential for the discovery and validation of biomarkers for colorectal cancer screening, and the analysis of fecal microbiota by MALDI-MS for the diagnosis of a range of bowel diseases is gaining clinical acceptance. Areas covered: Based on a comprehensive analysis of the current literature, we introduce the range of sensitive and specific proteomics methods which comprise the current 'Proteomics Toolbox', explain how the integration of fecal proteomics with data processing/bioinformatics has been used for the identification of potential biomarkers for both CRC and other gut-related pathologies and analysis of the fecal microbiome, outline some of the current fecal assays in current clinical practice and introduce the concept of personalised medicine which these technologies will help inform...
April 10, 2017: Expert Review of Proteomics
https://www.readbyqxmd.com/read/28358846/risk-factors-associated-with-tuberculosis-tb-among-people-living-with-hiv-aids-a-pair-matched-case-control-study-in-guangxi-china
#14
Zhezhe Cui, Mei Lin, Shaofa Nie, Rushu Lan
BACKGROUND: As one of the poorest provinces in China, Guangxi has a high HIV and TB prevalence, with the annual number of TB/HIV cases reported by health department among the highest in the country. However, studies on the burden of TB-HIV co-infection and risk factors for active TB among HIV-infected persons in Guangxi have rarely been reported. OBJECTIVE: To investigate the risk factors for active TB among people living with HIV/AIDS in Guangxi Zhuang autonomous region, China...
2017: PloS One
https://www.readbyqxmd.com/read/28355612/strengthening-health-security-at-the-hajj-mass-gatherings-characteristics-of-the-infectious-diseases-surveillance-systems-operational-during-the-2015-hajj
#15
Badriah M Alotaibi, Saber Yezli, Abdul-Aziz A Bin Saeed, Abdulhafeez Turkestani, Amnah H Alawam, Kingsley L Bieh
Background: Hajj is one of the largest and the most ethnically and culturally diverse mass gatherings worldwide. The use of appropriate surveillance systems ensures timely information management for effective planning and response to infectious diseases threats during the pilgrimage. The literature describes infectious diseases prevention and control strategies for Hajj but with limited information on the operations and characteristics of the existing Hajj infectious diseases surveillance systems...
May 1, 2017: Journal of Travel Medicine
https://www.readbyqxmd.com/read/28337072/precision-metagenomics-rapid-metagenomic-analyses-for-infectious-disease-diagnostics-and-public-health-surveillance
#16
Ebrahim Afshinnekoo, Chou Chou, Noah Alexander, Sofia Ahsanuddin, Audrey N Schuetz, Christopher E Mason
Next-generation sequencing (NGS) technologies have ushered in the era of precision medicine, transforming the way we treat cancer patients and diagnose disease. Concomitantly, the advent of these technologies has created a surge of microbiome and metagenomic studies over the last decade, many of which are focused on investigating the host-gene-microbial interactions responsible for the development and spread of infectious diseases, as well as delineating their key role in maintaining health. As we continue to discover more information about the etiology of infectious diseases, the translational potential of metagenomic NGS methods for treatment and rapid diagnosis is becoming abundantly clear...
April 2017: Journal of Biomolecular Techniques: JBT
https://www.readbyqxmd.com/read/28333986/building-the-road-to-a-regional-zoonoses-strategy-a-survey-of-zoonoses-programmes-in-the-americas
#17
Melody J Maxwell, Mary H Freire de Carvalho, Armando E Hoet, Marco A N Vigilato, Julio C Pompei, Ottorino Cosivi, Victor J Del Rio Vilas
BACKGROUND: In recent years, global public health security has been threatened by zoonotic disease emergence as exemplified by outbreaks of H5N1 and H1N1 influenza, SARS, and most recently Ebola and Zika. Additionally, endemic zoonoses, such as rabies, burden countries year after year, placing demands on limited finances and personnel. To survey the baseline status of the emerging and endemic zoonoses programmes of the Latin American and the Caribbean (LAC) countries, the Pan American Health Organization (PAHO) conducted a survey of priority emerging and endemic zoonoses, countries´ prioritization criteria and methodologies, and suggestions to strengthen countries capacities and regional approaches to zoonoses control...
2017: PloS One
https://www.readbyqxmd.com/read/28332644/implementing-wildlife-disease-surveillance-in-the-netherlands-a-one-health-approach
#18
M Maas, A Gröne, T Kuiken, G Van Schaik, H I J Roest, J W B Van Der Giessen
The surveillance of (emerging) wildlife diseases can provide important, objective evidence of the circulation of pathogens of interest for veterinary and/or public health. The involvement of multiple research institutions in wildlife disease surveillance can ensure the best use of existing knowledge and expertise, but can also complicate or add challenges to the integration of wildlife disease surveillance components into a national programme. Documenting the existing efforts in a country's surveillance of wildlife diseases, including the institutes in which it takes place, provides a basis for policy-makers and authorities to identify gaps and priorities in their current surveillance programmes...
December 2016: Revue Scientifique et Technique
https://www.readbyqxmd.com/read/28330486/relationships-between-structure-process-and-outcome-to-assess-quality-of-integrated-chronic-disease-management-in-a-rural-south-african-setting-applying-a-structural-equation-model
#19
Soter Ameh, Francesc Xavier Gómez-Olivé, Kathleen Kahn, Stephen M Tollman, Kerstin Klipstein-Grobusch
BACKGROUND: South Africa faces a complex dual burden of chronic communicable and non-communicable diseases (NCDs). In response, the Integrated Chronic Disease Management (ICDM) model was initiated in primary health care (PHC) facilities in 2011 to leverage the HIV/ART programme to scale-up services for NCDs, achieve optimal patient health outcomes and improve the quality of medical care. However, little is known about the quality of care in the ICDM model. The objectives of this study were to: i) assess patients' and operational managers' satisfaction with the dimensions of ICDM services; and ii) evaluate the quality of care in the ICDM model using Avedis Donabedian's theory of relationships between structure (resources), process (clinical activities) and outcome (desired result of healthcare) constructs as a measure of quality of care...
March 23, 2017: BMC Health Services Research
https://www.readbyqxmd.com/read/28295954/clinical-quantitative-susceptibility-mapping-qsm-biometal-imaging-and-its-emerging-roles-in-patient-care
#20
REVIEW
Yi Wang, Pascal Spincemaille, Zhe Liu, Alexey Dimov, Kofi Deh, Jianqi Li, Yan Zhang, Yihao Yao, Kelly M Gillen, Alan H Wilman, Ajay Gupta, Apostolos John Tsiouris, Ilhami Kovanlikaya, Gloria Chia-Yi Chiang, Jonathan W Weinsaft, Lawrence Tanenbaum, Weiwei Chen, Wenzhen Zhu, Shixin Chang, Min Lou, Brian H Kopell, Michael G Kaplitt, David Devos, Toshinori Hirai, Xuemei Huang, Yukunori Korogi, Alexander Shtilbans, Geon-Ho Jahng, Daniel Pelletier, Susan A Gauthier, David Pitt, Ashley I Bush, Gary M Brittenham, Martin R Prince
Quantitative susceptibility mapping (QSM) has enabled magnetic resonance imaging (MRI) of tissue magnetic susceptibility to advance from simple qualitative detection of hypointense blooming artifacts to precise quantitative measurement of spatial biodistributions. QSM technology may be regarded to be sufficiently developed and validated to warrant wide dissemination for clinical applications of imaging isotropic susceptibility, which is dominated by metals in tissue, including iron and calcium. These biometals are highly regulated as vital participants in normal cellular biochemistry, and their dysregulations are manifested in a variety of pathologic processes...
March 10, 2017: Journal of Magnetic Resonance Imaging: JMRI
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