https://github.com/cdcgov/mpx_networkmodel_mmwr
Science Score: 36.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 2 committers (50.0%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (5.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: CDCgov
- Language: R
- Default Branch: master
- Size: 2.67 MB
Statistics
- Stars: 9
- Watchers: 4
- Forks: 3
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
mpxnetworkmodelmmwr
Here, we provide code used to duplicate the results from the MMWR "Modeling the impact of sexual networks in the transmission of Monkeypox virus between gay, bisexual, and other men who have sex with men".
To duplicate these results, run the file runnetworkmodels_mmwr.R. This code will load in mpxnetworkobject.rda, which contains target statisticts for a sexual network of Gay, Bisexual, and other men who have sex with men (E.g., the proportion of individuals in the model that should have long term sexual partners). The code will additionally load in functions contained in network_modules.R. These functions will control the dynamics of our simulations (e.g., individuals initiating and ending sexual contact, individuals contracting and recovering from Monkeypox). Finally, the code will run simulations for all scenarios presented in the MMWR.
The code will create and save 12 files-
mmwrnobehavechangehightrans.Rdata : Raw data for higher transmission scenario where individuals do not reduce the rate of acquiring one time sexual contacts. mmwrbehavechangehightrans.Rdata : Raw data for higher transmission scenario where individuals reduce the rate of acquiring one time sexual contacts. mmwrnobehavechangelowtrans.Rdata : Raw data for lower transmission scenario where individuals do not reduce the rate of acquiring one time sexual contacts. mmwrbehavechangelowtrans.Rdata : Raw data for lower transmission scenario where individuals reduce the rate of acquiring one time sexual contacts.
mmwrnobehavechangehightransnoextinctmeans.csv : Means for results of higher transmission scenario where individuals do not reduce the rate of acquiring one time sexual contacts mmwrbehavechangehightransnoextinctmeans.csv : Means for results of higher transmission scenario where individuals reduce the rate of acquiring one time sexual contacts mmwrnobehavechangelowtransnoextinctmeans.csv : Means for results of lower transmission scenario where individuals do not reduce the rate of acquiring one time sexual contacts mmwrbehavechangelowtransnoextinctmeans.csv : Means for results of lower transmission scenario where individuals reduce the rate of acquiring one time sexual contacts
mmwrnobehavechangehightransnoextinctmedians.csv : Medians and interquartile ranges for results of higher transmission scenario where individuals do not reduce the rate of acquiring one time sexual contacts mmwrbehavechangehightransnoextinctmedians.csv : Medians and interquartile ranges for results of higher transmission scenario where individuals reduce the rate of acquiring one time sexual contacts mmwrnobehavechangelowtransnoextinctmedians.csv : Medians and interquartile ranges for results of lower transmission scenario where individuals do not reduce the rate of acquiring one time sexual contacts mmwrbehavechangelowtransnoextinctmedians.csv : Medians and interquartile ranges for results of lower transmission scenario where individuals reduce the rate of acquiring one time sexual contacts
CSV files of mean values for scenarios with no behavior change can be used to recreate figure 1 by using the se.flow.main.mean, se.flow.pers.mean, and se.flow.ot.mean variables, which are the average per day number of individuals who contracted monkeypox via "main" partnerships, "casual" partnerships, and "one time" partnerships respectively.
CSV files of median and IQR values for all scenarios can be used to recreate figure 2 by using the cuml.infs.med, cuml.infs.iqr1, and cuml.infs.iqr3 variables, which are the median, first quartile, and third quartile of the cumulative number of individuals who have contracted monkeypox over time.
Owner
- Name: Centers for Disease Control and Prevention
- Login: CDCgov
- Kind: organization
- Email: data@cdc.gov
- Location: Atlanta, GA
- Website: http://open.cdc.gov/
- Twitter: CDCgov
- Repositories: 114
- Profile: https://github.com/CDCgov
CDC's collaborative software projects to protect America from health, safety, and security threats, both foreign and in the U.S.
GitHub Events
Total
- Fork event: 2
Last Year
- Fork event: 2
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Patrick Clay | 4****y | 3 |
| Emily Pollock | e****o@u****u | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 2
- Total pull requests: 0
- Average time to close issues: 5 days
- Average time to close pull requests: N/A
- Total issue authors: 2
- Total pull request authors: 0
- Average comments per issue: 1.5
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- mark-orr (1)
- RodrigoZepeda (1)