Epi Info
Epi Info - Related Videos
08:29
Mouse Epidermal Neural Crest Stem Cell (EPI-NCSC) Cultures
0 Views •
Cited by 15 •
2008
Here we show our method to isolate mouse epidermal neural crest stem cells (EPI-NCSC). Technique involves micro-dissecting whisker follicles, isolating the bulge and placeing it into tissue culture. EPI-NCSC start to emigrate from bulge explants onto the substratum within 3 - 4 days.
08:12
Use of the EpiAirway Model for Characterizing Long-term Host-pathogen Interactions
0 Views •
Cited by 23 •
2011
This method allows characterization of extended bacterial co-culture with EpiAirways, primary human respiratory epithelial tissue grown at the air-liquid interface, a biologically relevant in vitro model. The approach can be used with any microbe that is amenable to long-term co-culture.
12:48
Measuring Near Plasma Membrane and Global Intracellular Calcium Dynamics in Astrocytes
0 Views •
Cited by 16 •
2009
We describe how to measure near membrane and global intracellular calcium dynamics in cultured astrocytes using total internal reflection and epifluorescence microscopy.
12:20
Sputter Growth and Characterization of Metamagnetic B2-ordered FeRh Epilayers
0 Views •
Cited by 23 •
2013
A method to prepare epitaxial layers of ordered alloys by sputtering is described. The B2-ordered FeRh compound is used as an example, as it displays a metamagnetic transition that depends sensitively on the degree of chemical order and the exact composition of the alloy.
06:31
Real-time Imaging of Plant Cell Surface Dynamics with Variable-angle Epifluorescence Microscopy
0 Views •
Cited by 10 •
2015
The goal of this protocol is to demonstrate how to monitor fluorescently-tagged protein dynamics on plant cell surfaces with variable-angle epifluorescence microscopy, showing blinking dots of GFP-tagged PATROL1, a membrane trafficking protein, in the cell cortex of the stomatal complex in Arabidopsis thaliana.
FAQs
Epi Info connects data collection with statistical procedures, allowing users to move from entered records to interpretable summaries. Frequencies describe distributions, cross-tabulations examine associations between variables, means summarize numerical values, and regression examines relationships or trends. This progression helps analysts match a research question with an appropriate statistical output without requiring extensive programming.
Mapping and visualization add spatial and communicative dimensions to statistical results. Charts can help show distributions, associations, and trends, while maps help identify geographic patterns during outbreak investigations and surveillance. Presenting results visually can make findings easier to communicate and support rapid public health decision-making when researchers need to interpret field data efficiently.
Its integrated workflow places questionnaires, databases, data entry, cleaning, analysis, and visualization within one software suite. Researchers can apply frequencies, cross-tabulations, means, and regression without depending on extensive programming experience or specialized statistical infrastructure. This accessibility supports consistent movement from raw epidemiologic data to statistical findings in public health studies.
A typical workflow begins with building a questionnaire or database, followed by entering and cleaning the collected data. Users then select analysis tools such as frequencies, cross-tabulations, means, or regression to examine distributions, associations, or trends. Finally, mapping and visualization functions can help present the findings and reveal patterns relevant to the investigation.
Epi Info is especially relevant to outbreak investigations, surveillance, and field studies that require a connected path from data collection to analysis. Its tools allow teams to organize incoming information, examine statistical patterns, and communicate results through visual displays. This combination can support rapid decision-making when studies operate with limited infrastructure or programming support.
The software can provide frequency summaries for distributions, cross-tabulations for examining associations, means for summarizing numerical data, and regression results for studying relationships or trends. These outputs help researchers move beyond data storage toward statistical interpretation. Visualization and mapping can then communicate the findings or help reveal patterns within an epidemiologic investigation.