The Moving Epidemic Method
divide a series in parts
odd transformation
Add an alpha value to a colour http://www.magesblog.com/2013/04/how-to...
Calculates specificity and sensitivity
Calculates specificity and sensitivity
calculates map curve
calculates optimum: fixed criteria for slope
calculates optimum: second derivative equals 0 (change signs from - to...
calculates optimum: original method: second derivative + axis change
calculates optimum: slope matches the overall slope
calculates optimum generic function
Compares outputs from two methods of locating the epidemic
create epidemiological calendar
Deprecated function(s) in the mem package
Deprecated function(s) in the mem package
Extract map curve
Extract epidemic hightest rates
Extract optimum
Extract post-epidemic hightest rates
Extract pre-epidemic hightest rates
fills in missing values inside the season with smoothing regression
Creates the historical series graph of the datasets
create epidemiological calendar
create epidemiological calendar
confidence interval for the arithmetic mean using the normal approxima...
Int. Confianza de 2 y 1 cola, por encima y por debajo. De la media y e...
confidence interval for the geometric mean using the log-normal approx...
confidence interval for a point (using log transformation and geometri...
confidence interval por the median using bootstrap methods
confidence interval por the median using KC Method
confidence interval por the median using KC Method
generic confidence interval calculation function
confidence interval for a point (using arithmetic mean)
max function, removing Inf and -Inf
highest n values of a data set, removing Inf and -Inf
mem: The Moving Epidemic Method
Evolution of estimators
Goodness of fit of the mem
Thresholds for influenza intensity
Methods for influenza modelization
Stability of indicators
Creates the animated graph of the surveillance of the current season
Creates the surveillance graph of the current season
Influenza Epidemic Timing
Methods for influenza trend calculation
min function, removing Inf and -Inf
lowest n values of a data set, removing Inf and -Inf
returns position of missing values inside the season. Leading and trai...
standarize data to [0,1] interval
Find tickmarks for a given range of the y-axis that best fit an optima...
Inspection calcultation of the optimum
function to format output
For use with transformseries.multiple
Full process plots for mem
Analysis of different indicators to find the optimum value of the wind...
Transforms relative weeks to absolute weeks in a 1-52 normal season
smoothing regression function
Data transformation
Data transformation
loess transformation
moving average transformation
Transformation of series of data
spline transformation
adjust a mixed model of two normal distributions
The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the weekly assessment of the epidemic and intensity status to help in routine respiratory infections surveillance in health systems. Allows the comparison of different epidemic indicators, timing and shape with past epidemics and across different regions or countries with different surveillance systems. Also, it gives a measure of the performance of the method in terms of sensitivity and specificity of the alert week.