Keyword Co-occurrence
Keyword Co-occurrence - Related Videos
01:28
Infectious Diseases and Their Occurrence
0 Views •
2026
Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...
01:21
Types of Reports II: Incident or Occurrence Report
0 Views •
2024
An Incident or Occurrence Report in a healthcare setting is a crucial document used to record any unexpected occurrence that may or may not have affected a patient, employee, or visitor. Such reports are critical to improving patient safety and include all details leading up to and including the event. Purposes: In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
11:09
EPA Method 1615. Measurement of Enterovirus and Norovirus Occurrence in Water by Culture and RT-qPCR. II. Total Culturable Virus Assay
0 Views •
Cited by 9 •
2016
Here we present a procedure to measure total culturable viruses using the Buffalo Green Monkey kidney cell line. The procedure provides a standardized tool for measuring the occurrence of infectious viruses in environmental and drinking waters.
10:48
EPA Method 1615. Measurement of Enterovirus and Norovirus Occurrence in Water by Culture and RT-qPCR. I. Collection of Virus Samples
0 Views •
Cited by 26 •
2015
EPA Method 1615 uses an electropositive filter to concentrate enteroviruses and noroviruses in environmental and drinking waters. This manuscript describes the procedure for collecting samples for Method 1615 analyses.
12:32
EPA Method 1615. Measurement of Enterovirus and Norovirus Occurrence in Water by Culture and RT-qPCR. Part III. Virus Detection by RT-qPCR
0 Views •
Cited by 13 •
2016
Here we present a procedure to quantify enterovirus and norovirus in environmental and drinking waters using reverse transcription-quantitative PCR. Mean virus recovery from groundwater with this standardized procedure from EPA Method 1615 was 20% for poliovirus and 30% for murine norovirus.
FAQs
Co-occurrence counts provide the basis for connecting terms in a literature network. Terms that repeatedly appear together become linked, allowing the network to display associations among concepts rather than treating each term as an isolated frequency. In cancer studies, this structure can expose relationships among disease characteristics, biomarkers, treatments, and biological pathways that may be difficult to see by reading terms separately.
Frequency measures show which terms appear prominently, while network analysis examines how those terms relate to one another. Using both perspectives helps distinguish frequently discussed concepts from groups of concepts that are strongly connected within the literature. This combined view can clarify major research themes and reveal relationships that a simple ranking of term counts would not show.
The method can connect terms representing shared topics, biological pathways, biomarkers, treatments, and disease characteristics. These categories allow researchers to examine how different aspects of cancer research appear together across the literature. Such connections may link clinical and biological findings, helping organize concepts that otherwise remain distributed across separate studies or research areas.
The relationships depend on the body of literature selected for analysis, such as research articles, abstracts, or clinical records. Each source type emphasizes different information, so the resulting network reflects the terms and connections present in that defined collection. Clearly specifying the literature helps researchers interpret the network in relation to its intended cancer research question.
A typical workflow begins by defining the cancer literature to examine, using articles, abstracts, or clinical records. Computational tools then identify terms and their appearances together, after which researchers construct a co-occurrence network. Frequency measures and network analysis can be applied to interpret prominent concepts, connected themes, emerging areas, and possible gaps in the literature.
Co-occurrence analysis can organize the concepts appearing across a body of cancer literature and show how findings cluster or connect. This helps reviewers examine relationships among topics, biomarkers, treatments, pathways, and disease characteristics while surveying a broad evidence base. The resulting network can support identification of research patterns and knowledge gaps relevant to a systematic review.
The networks can reveal emerging research areas, connect findings across disciplines, and highlight gaps in existing knowledge. These results support hypothesis generation by showing associations that may deserve closer investigation. In cancer research, the method therefore serves as a way to map and interpret the literature, helping guide future studies rather than providing experimental confirmation by itself.