Mark Herringer

Mark Herringer
Independent Researcher

About

12
Publications
3,566
Reads
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211
Citations
Introduction
I’m interested in open data and how health care location mapping and citizen participation can support humanitarian business models. I run healthsites.io which is an initiative to build an open data commons of health facility data with OpenStreetMap. We’re building the tools and community to share and update health facility data. In collaboration with the International Committee of the Red Cross and the Humanitarian Openstreetmap Team we are building this open data commons of health facility data. As a member of the MissingMaps Healthsites is bridging the gap between digital humanitarians and the medical community.

Publications

Publications (12)
Article
Full-text available
Since 8th March 2020 up to the time of writing, we have been producing near real-time weekly estimates of SARS-CoV-2 transmissibility and forecasts of deaths due to COVID-19 for all countries with evidence of sustained transmission, shared online. We also developed a novel heuristic to combine weekly estimates of transmissibility to produce forecas...
Article
Full-text available
Objectives To propose a novel framework for COVID-19 vaccine allocation based on three components of Vulnerability, Vaccination, and Values (3Vs). Methods A combination of geospatial data analysis and artificial intelligence methods for evaluating vulnerability factors at the local level and allocate vaccines according to a dynamic mechanism for u...
Research
Full-text available
The Health Data Governance Principles, bring a human rights and equity lens to the use of data within and across health systems. They are oriented towards supporting sustainable and resilient public health systems that can deliver Universal Health Coverage (UHC). The Principles are meant to inform and strengthen governance models, instruments, trea...
Article
Full-text available
Data from digital disease surveillance tools such as ProMED and HealthMap can complement the field surveillance during ongoing outbreaks. Our aim was to investigate the use of data collected through ProMED and HealthMap in real-time outbreak analysis. We developed a flexible statistical model to quantify spatial heterogeneity in the risk of spread...
Article
Full-text available
Background: Open data on the locations and services provided by health facilities have, in some countries, allowed the development of software tools contributing to COVID-19 response. The UN and WHO encourage countries to make health facility location data open, to encourage use and improvement. We provide a summary of open access health facility l...
Method
Full-text available
Open data on the locations and services provided by health Background: facilities in some countries have allowed the development of software tools contributing to COVID-19 response. The UN and WHO encourage countries to make health facility location data open, to encourage use and improvement. We provide a summary of open access health facility loc...
Article
Full-text available
Background: Open data on the locations and services provided by health facilities in some countries have allowed the development of software tools contributing to COVID-19 response. The UN and WHO encourage countries to make health facility location data open, to encourage use and improvement. We provide a summary of open access health facility loc...
Preprint
Full-text available
In our increasingly interconnected world, it is crucial to understand the risk of an outbreak originating in one country or region and spreading to the rest of the world. Digital disease surveillance tools such as ProMED and HealthMap have the potential to serve as important early warning systems as well as complement the field surveillance during...
Article
Full-text available
Infectious disease outbreaks play an important role in global morbidity and mortality. Real-time epidemic forecasting provides an opportunity to predict geographic disease spread as well as case counts to better inform public health interventions when outbreaks occur. Challenges and recent advances in predictive modeling are discussed here. We iden...
Chapter
Full-text available
Open geographic data and crowdsourcing mapping activities have made geodata more accessible for humanitarian actors and the opportunities of use greater. However, large volumes of data spread over multiple datasets combined with poor information management rules make efficient use by humanitarian actors difficult. Locating health facilities in disa...

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