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memapp  

The Moving Epidemic Method Web Application
View on CRAN: Click here


Download and install memapp package within the R console
Install from CRAN:
install.packages("memapp")

Install from Github:
library("remotes")
install_github("cran/memapp")

Install by package version:
library("remotes")
install_version("memapp", "2.16")



Attach the package and use:
library("memapp")
Maintained by
Jose E. Lozano
[Scholar Profile | Author Map]
First Published: 2017-06-06
Latest Update: 2023-06-20
Description:
The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) , , 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. 'memapp' is a web application created in the Shiny framework for the 'mem' R package.
How to cite:
Jose E. Lozano (2017). memapp: The Moving Epidemic Method Web Application. R package version 2.16, https://cran.r-project.org/web/packages/memapp. Accessed 04 May. 2025.
Previous versions and publish date:
2.0 (2017-06-06 18:58), 2.1 (2017-06-08 14:32), 2.2 (2017-06-23 15:04), 2.3 (2017-07-07 14:52), 2.4 (2017-09-01 12:24), 2.5 (2017-09-21 08:44), 2.6 (2017-10-23 11:00), 2.7 (2018-01-23 10:00), 2.8 (2018-03-02 13:10), 2.9 (2018-03-12 12:35), 2.10 (2018-06-02 23:52), 2.11 (2018-11-08 13:00), 2.12 (2019-01-29 13:50), 2.13 (2019-06-04 08:40), 2.14 (2020-09-10 11:40), 2.15 (2022-04-24 16:30)
Other packages that cited memapp R package
View memapp citation profile
Other R packages that memapp depends, imports, suggests or enhances
Complete documentation for memapp
Functions, R codes and Examples using the memapp R package
Some associated functions: flucyl . flucylraw . memapp-package . runmemapp . 
Some associated R codes: flucyl.R . flucylraw.R . memapp.R . runmemapp.R .  Full memapp package functions and examples
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