About・Abstract・Reviews・See also
1854: Cholera・2005: H5N1・2005: Hurricane Katrina・2009: H1N1・2010: Haiti earthquake・2011: Tōhoku earthquake・2011: E. coli O104:H4・2013: Typhoon Hiyan・2015: Ebola・2016: Zika・Future?
John Snow's original map of the 1854 Broad Street cholera outbreak in London. Cholera cases are highlighted in black, as are water pumps (data available here). The pump on Broad Street was identified as the one through which the contaiminated water was distributed. Removing its handle then essentially stopped the outbreak, and when the next Cholera outbreak hit London in 1866, sanitary measures had been improved.
- PLOS Currents: Influenza was started: "The key goal of PLoS: Currents is to accelerate scientific discovery by allowing researchers to share their latest findings and ideas immediately with the world's scientific and medical communities."
- OpenStreetMap
- coordination page
- sinsai.info
- run by OpenStreetMap Japan using Ushahidi
- saveMLAK
- Geigermap
- Japan’s Nuclear Woes Give Rise to Crowd-Sourced Radiation Maps In Asia and US
- Japan’s Radiation Levels: Real-Time Crowd Sourcing
- Crowdsourcing Japan’s Nuclear Crisis
- How Citizen Science Changed the Way Fukushima Radiation is Reported
- Open StreetMap coordination page
- A set of three poster maps printed in response to the 2013 Typhoon Haiyan based on data from OpenStreetMap
- Ebola teaches tough lessons about rapid research
- Data sharing: Make outbreak research open access
- Special issue of Journal of Empirical Research on Human Research Ethics: Ethics and sharing individual-level health research data from low and middle income settings (13 papers, 2015)
- Ebola outbeak data scraped from government PDF
- WHO Report of the Ebola Interim Assessment Panel - July 2015
- "Member States have largely failed to implement the core capacities, particularly under surveillance and data collection, which are required under the International Health Regulations (2005)"
- International Health Regulations
- "A proposal to amend the International Health Regulations with clear codes of practice for data sharing warrants serious consideration"
- "data were not aggregated, analysed or shared in a timely manner and in some cases not at all"
- Open Data's Impact: Battling Ebola in Sierra Leone — Data Sharing to Improve Crisis Response
- Statement on data sharing in public health emergencies
- Zika researchers release real-time data on viral infection study in monkeys
- Science, get over yourself: Zika data-sharing should be the norm, not the exception
- "Several participants noted that it is critical to study ZIKV in humans in the countries most affected and highlighted the importance of establishing a coordinated and well-resourced research approach to ZIKV, which would include the efficient sharing of biospecimens across international borders, availability of rapid funding announcements, better communication among scientists about the types of research being conducted, and the availability of datasets."
- Partnerships, Not Parachutists, for Zika Research:
- "But we believe the experience with recent outbreaks makes clear that if open sharing of data and specimens becomes the norm among scientists and epidemiologists around the world, we will be far more likely to succeed in improving international public health capacity and strengthening our collective health — and human — security.
- To avoid having to make this argument again every time we face an outbreak with the potential for becoming a global crisis, we believe the global health community should develop and agree on a framework of principles for sharing data and biologic samples during any such public health emergency. It would be best if the researchers themselves developed such a framework, as the genomics community did in the Human Genome Project."
- Public Health Surveillance: A Call to Share Data
- Zika Data From the Lab, and Right to the Web
- Reanalysis of open Zika data using a Jupyter notebook
- from the Zibra blog (comparing Ebola versus Zika project): "there we were limited by upload speed and here throughput"
- preprints
- Forecasting the 2013–2014 Influenza Season Using Wikipedia
- Make Data Sharing Routine to Prepare for Public Health Emergencies
- World Health Organization Member States and Open Health Data: An Observational Study
- Data sharing in public health emergencies — a presentation for the International Meeting on Emerging Diseases and Surveillance (IMED 2016)
- More details on sharing in response to public health emergencies
- SciDataCon session Disasters and Disasters Risk Data
This file hosts a contribution for SciDataCon 2016 (11-13 September, 2016, in Denver, Colorado, U.S.), which was submitted on May 31 (submission ID 342). The abstract has been accepted on July 7, and the talk has been included in the session The Data requirements and availability for decision makers (ID 93), which took place on September 12 from 9:30–11:00 am MDT as part of the Data Reuse and Enhancement track (see program). The talk's time slot was ca. 10:14-10:26 am.
"Open data matters most when the stakes are high" – and what this means in the context of public health emergencies like the ongoing Zika virus outbreak.
Public health emergencies require profound and swift action at scale with limited resources, often on the basis of incomplete information and frequently under rapidly evolving circumstances. While donations of physical goods, personnel, financial aids and some other forms of emergency-triggered sharing go back millennia, data sharing is a relatively new facet of public health emergency responses. As our societies become ever more digital and globally connected, the profile of data is growing in many ways, and with it the potential impact of policies and practices around sharing and safeguarding data.
The SciDataCon website states that “the most significant contemporary research challenges—and in particular those reaching across traditional disciplines—cannot be properly addressed without paying attention to issues relating to data”.
With this contribution, I propose to present a range of contemporary research challenges related to major public health emergencies from around the globe and to highlight how the sharing or safeguarding of data and digital infrastructure affected the respective responses, particularly in ways that do not easily map to traditional disciplines.
The underlying project is conducted by way of open notebook science that can be followed and contributed to via https://github.com/Daniel-Mietchen/datascience/blob/master/emergency-response.md.
The talk itself will be given on the basis of https://github.com/Daniel-Mietchen/talks/blob/master/SciDataCon2016.md, which will be continuously expanded until the event takes place, and possibly thereafter.
The author works as a contractor for the National Institutes of Health, including on issues around data sharing in public health emergencies.
The following reviewer comments were transmitted to me on July 3 in response to the original submission. As I was on vacation at the time, I did not have time to incorporate them into the final conference paper (which was due on July 10, i.e. two months before the talk). I will take care of that in the coming weeks. In the meantime, I am including here a few quick responses to these comments.
The paper has delve into important topic of data sharing in public health. But the paper should also provide further explanation about some of the challenges that are identified and possible solutions for data sharing. If the solution is not available, at least explaining the problem and how it is affecting the targetted sector will be helpful.
Yes, the talk will provide further detail. Will check how the session is going to be documented, and provide the information accordingly. As it happens, a paper with a very similar focus has since appeared (Make Data Sharing Routine to Prepare for Public Health Emergencies), which provides some of the further details requested in this reviewer's comment.
This paper discusses an important issue of data sharing in public health emergencies. The abstract, however, is not properly written, and there is no specific substance with regard to the approach or methodology taken in this paper. This needs to be improved.
I have changed the abstract slightly. Not sure yet what to write in terms of methodology — so far, it has been little more than just taking notes of relevant activities in the framework of the Zika response or as I saw them flow by in the news or in the literature. One of the purposes of the talk would be to get in contact with others who actually do research on such topics (so far, I haven't, but I am interested).
This submission will discuss use cases for sharing data during public health disasters. If this will be a lightening talk for Session 93, then this seems appropriate to the session as this talk will address data sharing requirements in emergency situations. The information needs to be more clearly and robustly presented.
Yes, I will try to make it more clear and more robust, and I like lightning talks. On the other hand, I have enough material to fill the 10 min allocated to my part of the session.