Center for Communicable Disease Dynamics – Harvard University (c2-d2)

Center for Communicable Disease Dynamics – Harvard University

c2-d2

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Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health

Location:Boston, MA

Home Page:http://ccdd.hsph.harvard.edu/

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Center for Communicable Disease Dynamics – Harvard University's repositories

pr_mort_official

Data and pipeline for Mortality in Puerto Rico after Hurricane Maria

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disty

Disty McMatrixface - compute a distance matrix from a core genome alignment file

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CoV-seasonality

Code for regression model from Kissler, Tedijanto et al. 2020.

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cov19flightimport

Data and code for De Salazar et al. 2020

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rase-pipeline

RASE pipeline for inferring antibiotic resistance and susceptibility using genomic neighbor typing.

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rase

The core RASE package

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detect_prob_corona2019

Online code for Niehus et al 2020

COVID-19-wuhan-guangzhou-data

Raw data used for the Wuhan/Guangzhou comparison with US ICU beds

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Cholera-Mozambique

Modeling Cholera Risk for the Aftermath of Cyclone Kenneth and Cyclone Idai in Mozambique

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covid-ma-cases

Workflow to pull, convert, clean and categorize data from the official website with COVID-19 cases in Massachusetts

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postpandemic

SARS-CoV-2 post-pandemic dynamics

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Projects

metadata for ongoing or published projects

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rase-supplement

Supplementary repository for Rapid inference of antibiotic resistance and susceptibility by genomic neighbor typing

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africa_export

Code for Menkir et al. 2020

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microbiome_abx_probio

Code accompanying Niehus et al. 2021

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NanoSim-H

Simulation of Oxford Nanopore reads. A fork of NanoSim.

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NM-mpox-reanalysis

Files for reanalysis of mpox observational study Wolff Sagy, Y., Zucker, R., Hammerman, A. et al. Real-world effectiveness of a single dose of mpox vaccine in males. Nat Med (2023). https://doi-org.ezp-prod1.hul.harvard.edu/10.1038/s41591-023-02229-3

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npi

Modeling non-pharmaceutical interventions to curb the SARS-CoV-2 pandemic

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samsift

SAMsift – advanced filtering and tagging of SAM/BAM alignments using Python expressions.

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