The GISAID Data Science Initiative promotes the rapid sharing of data from priority pathogens including influenza, hCoV-19, respiratory syncytial virus (RSV), hMpxV as well as arboviruses including chikungunya, dengue and zika. This includes genetic sequence and related clinical and epidemiological data associated with human viruses, and geographical as well as species-specific data associated with avian and other animal viruses, to help researchers understand how viruses evolve and spread during epidemics and pandemics.
GISAID does so by overcoming disincentive hurdles and restrictions, which discourage or prevented sharing of virological data prior to formal publication.
The Initiative ensures that open access to data in GISAID is provided free-of-charge to all individuals that agreed to identify themselves and agreed to uphold the GISAID sharing mechanism governed through its Database Access Agreement.
All bonafide users with GISAID access credentials agreed to the basic premise of upholding a scientific etiquette, by acknowledging the Originating laboratories providing the specimens, and the Submitting laboratories generating sequence and other metadata, ensuring fair exploitation of results derived from the data, and that all users agree that no restrictions shall be attached to data submitted to GISAID, to promote collaboration among researchers on the basis of open sharing of data and respect for all rights and interests.
Haz-Map® is an occupational health database designed for health and safety professionals and for consumers seeking information about the adverse effects of workplace exposures to chemical and biological agents. The main links in Haz-Map are between chemicals and occupational diseases. These links have been established using current scientific evidence.
Haz-Map shows the diseases linked to each agent and the agents linked to each disease. Agents are chemical such as formaldehyde, or biological such as grain dust. Haz-Map links jobs and hazardous job tasks with occupational diseases and their symptoms.
In Haz-Map, chronic occupational diseases are linked to both jobs and industries, while acute diseases and infectious diseases are linked only to jobs. Cancers are not linked to jobs, industries or findings.
The information in Haz-Map comes from textbooks, journal articles, the Documentation of the Threshold Limit Values (published by ACGIH), and electronic databases such as NLM's ChemIDplus. The author of Haz-Map is Jay A. Brown, MD, MPH, Board Certified in Occupational Medicine.
To make progress against the pressing problems the world faces, we need to be informed by the best research and data. Our World in Data makes this knowledge accessible and understandable, to empower those working to build a better world.
Sometimes, you just want to know you’re not alone.
This newsletter talks about what’s really going on in the world, with an unfiltered but empathetic perspective. I have a Ph.D. in English, but I study language and communication, including the history of both. This is where I go to post my blunt thoughts about politics, culture, and education.
A few years ago, I didn’t think I’d be writing about pathogens and pandemics, but circumstances compelled me to start speaking up against mainstream narratives that I found harmful and counterproductive. I saw populism and wishful thinking overpowering the saner voices in the room. It disturbed me. I couldn’t keep quiet, so I started posting my opinions online.
There’s an edge in my writing, and that’s because I’ve spent most of my career working with marginalized students from some of the poorest school districts in the entire country, arguably the entire world. If you’ve worked as a public servant, you know how deeply infuriating it can feel to watch so many of your efforts get undone by poor leadership and public apathy.
I’ve often thought about leaving education over the last few years. There might come a day when I have to resign to protect myself and my family, or I might get fired for doing what I consider the right thing. (Tenure used to mean something, but universities can always get rid of troublemakers.) In the meantime, this newsletter keeps me going, and I hope it keeps others going.
The People’s CDC is a coalition of public health practitioners, scientists, healthcare workers, educators, advocates and people from all walks of life working to reduce the harmful impacts of COVID-19.
We provide guidance and policy recommendations to governments and the public on COVID-19, disseminating evidence-based updates that are grounded in equity, public health principles, and the latest scientific literature.
Working alongside community organizations, we are building collective power and centering equity as we work together to end the pandemic.
The People’s CDC is volunteer-run and independent of partisan political and corporate interests and includes anonymous local health department and other government employees.
Blog: https://peoplescdc.substack.com/
RSS: https://peoplescdc.substack.com/feed
This repository contains dated records of curated Monkeypox cases from the 2022 outbreak (April - ), a data dictionary, and a script used to pull contents from a spreadsheet into JSON and CSV files.
The script is intended for use by the curation team and supporting engineers. It requires access to the relevant Google Sheet, and a Google Cloud service account.
The data dictionary is located in the root directory of this project. It contains information about columns/fields in the data sets.
The archives folder contains dated JSON and CSV files. They are currently uploaded manually; regularly and automatically updated data sets live in an (currently private) S3 bucket.
The data is updated six times per day.
Powers this site: https://map.monkeypox.global.health/country
Open disease data. covid-19 stats. REST API. Free to use. Sources information from multiple places. Kept as up to date as possible. JSON output.
Bonita, Ruth, Beaglehole, Robert, Kjellström, Tord & World Health Organization. (2006). Basic epidemiology, 2nd ed. World Health Organization.
Teacher's guide for basic epidemiology, WHO document no. WHO/EHG/94.10
213 p.
ISBN
9783456852546 (German, 2013)
9241547073
9789241547079
9784901433044 (Japanese)
9783456845357 (German)
8872660319 (Italian)
9789645190314 (Persian)
9788572888394 (Portuguese)
9789144053806 (Swedish)
8386052716 (Polish)
Format: PDF
Upload to the Internet Archive? Mirror on my website?