Abstract:
BACKGROUND:At present, dengue control focuses on reducing the density of the primary vector for the disease, Aedes aegypti, which is the only vulnerable link in the chain of transmission. The use of new approaches for dengue entomological surveillance is extremely important, since present methods are inefficient. With this in mind, the present study seeks to analyze the spatio-temporal dynamics of A. aegypti infestation with oviposition traps, using efficient computational methods. These methods will allow for the implementation of the proposed model and methodology into surveillance and monitoring systems. METHODS:The study area includes a region in the municipality of Rio de Janeiro, characterized by high population density, precarious domicile construction, and a general lack of infrastructure around it. Two hundred and forty traps were distributed in eight different sentinel areas, in order to continually monitor immature Aedes aegypti and Aedes albopictus mosquitoes. Collections were done weekly between November 2010 and August 2012. The relationship between egg number and climate and environmental variables was considered and evaluated through Bayesian zero-inflated spatio-temporal models. Parametric inference was performed using the Integrated Nested Laplace Approximation (INLA) method. RESULTS:Infestation indexes indicated that ovipositing occurred during the entirety of the study period. The distance between each trap and the nearest boundary of the study area, minimum temperature and accumulated rainfall were all significantly related to the number of eggs present in the traps. Adjusting for the interaction between temperature and rainfall led to a more informative surveillance model, as such thresholds offer empirical information about the favorable climatic conditions for vector reproduction. Data were characterized by moderate time (0.29 - 0.43) and spatial (21.23 - 34.19 m) dependencies. The models also identified spatial patterns consistent with human population density in all sentinel areas. The results suggest the need for weekly surveillance in the study area, using traps allocated between 18 and 24 m, in order to understand the dengue vector dynamics. CONCLUSIONS:Aedes aegypti, due to it short generation time and strong response to climate triggers, tend to show an eruptive dynamics that is difficult to predict and understand through just temporal or spatial models. The proposed methodology allowed for the rapid and efficient implementation of spatio-temporal models that considered zero-inflation and the interaction between climate variables and patterns in oviposition, in such a way that the final model parameters contribute to the identification of priority areas for entomological surveillance.
journal_name
BMC Med Inform Decis Makjournal_title
BMC medical informatics and decision makingauthors
C Costa AC,Codeço CT,Honório NA,Pereira GR,N Pinheiro CF,Nobre AAdoi
10.1186/s12911-015-0219-6subject
Has Abstractpub_date
2015-11-13 00:00:00pages
93issn
1472-6947pii
10.1186/s12911-015-0219-6journal_volume
15pub_type
杂志文章abstract:BACKGROUND:Large healthcare databases, with their ability to collect many variables from daily medical practice, greatly enable health services research. These longitudinal databases provide large cohorts and longitudinal time frames, allowing for highly pragmatic assessment of healthcare delivery. The purpose of this ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0588-8
更新日期:2018-01-31 00:00:00
abstract:BACKGROUND:Approximately 20% of deaths in the US each year are attributable to smoking, yet current practices in the recording of this health risk in electronic health records (EHRs) have not led to discernable changes in health outcomes. Several groups have developed algorithms for extracting smoking behaviors from cl...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0864-2
更新日期:2019-07-25 00:00:00
abstract:BACKGROUND:A pandemic affects healthcare delivery and consequently leads to socioeconomic complications. During a pandemic, a community where there lives an asymptomatic patient (AP) becomes a potential endemic zone. Assuming we want to monitor the travel and/or activity of an AP in a community where there is a pandemi...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-01258-z
更新日期:2020-09-29 00:00:00
abstract:BACKGROUND:The quantitative study of the publication output (bibliometrics) deeply influences how scientific work is perceived (bibliometric visibility). Recently, new bibliometric indices and databases have been established, which may change the visibility of disciplines, institutions and individuals. This study exami...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-11-24
更新日期:2011-04-15 00:00:00
abstract:BACKGROUND:Comparing outcomes between hospitals requires consideration of patient factors that could account for any observed differences. Adjusting for comorbid conditions is common when studying outcomes following cancer surgery, and a commonly used measure is the Charlson comorbidity index. Other measures of patient...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-015-0175-1
更新日期:2015-07-15 00:00:00
abstract:BACKGROUND:A large proportion of patients with knee and/or hip osteoarthritis (OA) do not meet the recommended levels of physical activity (PA). Therefore, we developed a web-based intervention that provides a tailored PA program for patients with knee and/or hip OA, entitled Join2move. The intervention incorporates co...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-13-61
更新日期:2013-05-28 00:00:00
abstract:BACKGROUND:Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into predetermined categories. The aim of this study is to present an evaluat...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-017-0566-6
更新日期:2017-12-19 00:00:00
abstract:BACKGROUND:Nowadays more and more clinical guidelines for health care professionals are being developed. However, this does not automatically mean that these guidelines are actually implemented. The aim of this meta-review is twofold: firstly, to gain a better understanding of which factors affect the implementation of...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,meta分析,评审
doi:10.1186/1472-6947-8-38
更新日期:2008-09-12 00:00:00
abstract:BACKGROUND:The purpose of this study was to assess the impact of accessing primary care records on unscheduled care. Unscheduled care is typically delivered in hospital Emergency Departments. Studies published to December 2014 reporting on primary care record access during unscheduled care were retrieved. RESULTS:Twen...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,评审
doi:10.1186/s12911-017-0523-4
更新日期:2017-09-22 00:00:00
abstract:BACKGROUND:Informatics for Integrating Biology and the Bedside (i2b2) is an open source clinical data analytics platform used at over 200 healthcare institutions for querying patient data. The i2b2 platform has several components with numerous dependencies and configuration parameters, which renders the task of install...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0646-2
更新日期:2018-07-16 00:00:00
abstract:BACKGROUND:Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a limited number of studies have exploited effective representation learning capability of deep learni...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0781-4
更新日期:2019-04-04 00:00:00
abstract:BACKGROUND:To determine patients' preferences for, and understanding of, FRAX® fracture risk conveyed through illustrations. METHODS:Drawing on examples from published studies, four illustrations of fracture risk were designed and tested for patient preference, ease of understanding, and perceived risk. We enrolled a ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,多中心研究
doi:10.1186/s12911-014-0101-y
更新日期:2014-11-25 00:00:00
abstract:BACKGROUND:Healthcare and social care environments are increasingly confronted with older persons with long-term care needs. Consequently, the need for integrated and coordinated assessment systems increases. In Belgium, feasibility studies have been conducted on the implementation and use of interRAI instruments offer...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-13-129
更新日期:2013-11-27 00:00:00
abstract:BACKGROUND:Applying evidence is one of the most challenging steps of evidence-based clinical practice. Healthcare professionals have difficulty interpreting evidence and translating it to patients. Decision boxes are summaries of the most important benefits and harms of diagnostic, therapeutic, and preventive health in...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-11-17
更新日期:2011-03-09 00:00:00
abstract:BACKGROUND:Cardiogenic stroke has increasing morbidity in China and brought economic burden to patient families. In cardiogenic stroke diagnosis, echocardiograph examination is one of the most important examinations. Sonographers will investigate patients' heart via echocardiograph, and describe them in the echocardiog...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-1106-3
更新日期:2020-07-09 00:00:00
abstract:BACKGROUND:Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Currently, the analysis of medication event reports is ineffective and requires heavy workloads for clinici...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0687-6
更新日期:2018-12-07 00:00:00
abstract:BACKGROUND:With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China national stroke screening and intervention program, which screens stroke and its risk factors and conducts ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0998-2
更新日期:2019-12-10 00:00:00
abstract:BACKGROUND:Clinical data synthesis aims at generating realistic data for healthcare research, system implementation and training. It protects patient confidentiality, deepens our understanding of the complexity in healthcare, and is a promising tool for situations where real world data is difficult to obtain or unneces...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0793-0
更新日期:2019-03-14 00:00:00
abstract:BACKGROUND:Adverse drug events (ADEs) often occur as a result of drug-drug interactions (DDIs). The use of data mining for detecting effects of drug combinations on ADE has attracted growing attention and interest, however, most studies focused on analyzing pairwise DDIs. Recent efforts have been made to explore the di...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-1053-z
更新日期:2020-03-18 00:00:00
abstract:BACKGROUND:Numerous types of digital health interventions (DHIs) are available to patients and the public but many factors affect their ability to engage and enrol in them. This systematic review aims to identify and synthesise the qualitative literature on barriers and facilitators to engagement and recruitment to DHI...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,评审
doi:10.1186/s12911-016-0359-3
更新日期:2016-09-15 00:00:00
abstract:BACKGROUND:We describe the results of cognitive interviews to refine the "Making Choices©" Decision Aid (DA) for shared decision-making (SDM) about stress testing in patients with stable coronary artery disease (CAD). METHODS:We conducted a systematic development process to design a DA consistent with International Pa...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-14-10
更新日期:2014-02-13 00:00:00
abstract:BACKGROUND:Health Information Organizations (HIOs) are third party organizations that facilitate electronic health information exchange (HIE) between providers in a geographic area. Despite benefits from HIE, HIOs have struggled to form and subsequently gain broad provider participation. We sought to assess whether mar...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0605-y
更新日期:2018-05-08 00:00:00
abstract:BACKGROUND:Patients with no history of stroke but with stenosis of the carotid arteries can reduce the risk of future stroke with surgery or stenting. At present, a physicians' ability to recommend optimal treatments based on an individual's risk profile requires estimating the likelihood that a patient will have a poo...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-015-0141-y
更新日期:2015-03-24 00:00:00
abstract:BACKGROUND:Cardiac diseases represent the leading cause of sudden death worldwide. During the development of cardiac diseases, the left ventricle (LV) changes obviously in structure and function. LV motion estimation plays an important role for diagnosis and treatment of cardiac diseases. To estimate LV motion accurate...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-017-0560-z
更新日期:2017-12-20 00:00:00
abstract:BACKGROUND:Intensive care information systems (ICIS) are continuously evolving to meet the ever changing information needs of intensive care units (ICUs), providing the backbone for a safe, intelligent and efficient patient care environment. Although beneficial for the international advancement in building smart enviro...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-017-0569-3
更新日期:2017-12-06 00:00:00
abstract:BACKGROUND:Machine-learning classifiers mostly offer good predictive performance and are increasingly used to support shared decision-making in clinical practice. Focusing on performance and practicability, this study evaluates prediction of patient-reported outcomes (PROs) by eight supervised classifiers including a l...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0731-6
更新日期:2019-01-08 00:00:00
abstract:BACKGROUND:Computer simulation studies of the emergency department (ED) are often patient driven and consider the physician as a human resource whose primary activity is interacting directly with the patient. In many EDs, physicians supervise delegates such as residents, physician assistants and nurse practitioners eac...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-13-59
更新日期:2013-05-22 00:00:00
abstract:BACKGROUND:In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the devel...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-12-125
更新日期:2012-11-07 00:00:00
abstract:BACKGROUND:Patients undergoing heart surgery continue to be the largest demand on blood transfusions. The need for transfusion is based on the risk of complications due to poor cell oxygenation, however large transfusions are associated with increased morbidity and risk of mortality in heart surgery patients. The aim o...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-11-44
更新日期:2011-06-21 00:00:00
abstract:BACKGROUND:Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and rich and deep datasets. Data sharing benefits include more analyses, greater research complexity, i...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0683-x
更新日期:2018-11-12 00:00:00