See What Teams Created
Project: FOOTPRINT – Elsevier Award & 5starts Incubator Challenge Award Winner
Climate change has become a clear driver of humanitarian need, but providing relief services is energy and emissions intensive. To increase operational efficiency and reduce harm, humanitarian actors need a tool to perform timely, comprehensive evaluations of environmental impact. Footprint is a web platform that builds on existing energy calculators and emissions monitoring software to allow humanitarian organizations to easily assess the environmental impact of their operations. Integrating supply chain and logistics data, Footprint enables easy access to digestible information, allowing humanitarian practitioners to improve programming, ensure sustainability, and create metrics for success. For the latest updates on Footprint, visit: https://www.footprintproject.org
Project: Dogemon – ProMED Award Winner
Rabies is a public health threat that can be prevented through adequate vaccine coverage in the canine population. Prevention methods using canine vaccines are advantageous given the smaller population of dogs and the reduced cost of canine rabies vaccines when compared with humans. Using Indonesia as the pilot area, the Dogemon app will identify unvaccinated dogs in the region with community-based participatory surveillance. Users can report a dog that is unvaccinated, characterized by the lack of a red collar, and upload a picture of the canine via the Dogemon app. A Veterinarian will receive a notification about the unvaccinated dog in their coverage area and can administer a vaccine using the photo identification feature. Dogemon will aid public health professionals in their goal to eliminate rabies in Sumatra, Indonesia by 2020.
Project: Puddle Predict: Real-Time Prediction of Malaria Epidemics – ProMED Award & ProMED Follow-Up Award Winner
Uganda has faced a number of malaria epidemics, with the latest being the 2015/16 epidemic in the northern region. Routinely analyzed data has revealed inefficient allocation of resources for malaria prevention and control efforts. A strong correlation exists between climatic trends and malaria incidence. Puddle Predict aims to employ malaria predictive models using precipitation and temperature to predict the incidence of malaria, all using real-time data. Puddle Predict can be integrated into the Uganda malaria visual dashboard which is currently under development. This, in turn, will inform key stakeholders to facilitate appropriate targeting of resources for malaria control For the latest updates on Puddle Predict, visit: http://puddlepredict.com
Project: #MeasleSucks – sektor5 Work Space Winner
To address the growing decline in measles vaccination rates in California, #MeasleSucks created an interactive e-platform targeting expectant/young parents. Through graphic smart mapping, the California outbreak in 2015 can be traced, individuals and the trail of disease can be plotted, and scenarios created to improve understanding of the importance of vaccination. Concepts such as herd immunity are discussed in addition to a comparison between the naturally occurring disease and vaccine side-effects. A prototype of the website will be built and changemakers, including midwives, naturopaths, and parents are asked to join the ongoing dialogue. These unique tools allow parents to make an informed decision to vaccinate their child with the aim of increasing vaccination coverage and preventing unnecessary outbreak event.
Project: Hunters Helping Hunters
With over 60% of emerging diseases classified as zoonosis, hunters are vulnerable to cross species infection transmission. To protect the health and wellbeing of hunters, and ultimately the greater population, Hunters Helping Hunters has developed a two-part approach to reduce this risk. Through a combination of personal protective equipment (PPE) and accessible zoonotic disease information, zoonotic disease transmission event can be curtailed. PPE would be distributed in kits with gloves, bleach tablets, donning-doffing instructions, carcass handling and proper cooking techniques. Kits can be supplemented with materials to allow field-based disease surveillance.
Project: Animal Village
Animal Village is an online mobile platform for rural animal caretakers, veterinarians, and public health officials. In the fashion of Reddit, NextDoor, and Plant Village, Animal Village allows anyone in a remote location to upload their animal health concern, potentially with photos and video, and get immediate feedback from their neighbors. Not only will this serve the individual, but it will also bank traditional animal health knowledge and provide a surveillance system for identification of animal disease outbreaks. Data access fees paid by governments, pharmaceutical companies, and universities will sustain the platform, while remaining free to individuals.
Project: ProMED mapper
Designed to work in conjunction with the Program for Monitoring Emerging Diseases – ProMED-mail – ProMED mapper is a data-visualization tool grouping infectious disease outbreak reports accumulated by the information disease surveillance network. ProMED mapper sorts the 53,000+ outbreak reports into categories, such as STDs, vector-borne, and waterborne illnesses. This new organizational tool improves navigation of the information stored in the database while promoting identification of outbreak trends and geographical visualization methods.
Project: Hacking Dengue
Dengue is the fastest growing mosquito-borne disease in the world, putting half of the global population at risk of contracting dengue fever. Hacking Dengue works to combine the information and efforts of individual scientists and organizations into one, centralized platform. With features such as outbreak mapping tools incorporating weather, demographic, and social media information, this new open-access database can be used to identify outbreaks and connect the necessary resources to stop outbreak propagation. In time, this database will be used to develop predictive algorithms and refine outbreak modeling techniques. For the latest information about project developments, visit: www.denguehack.org
Project: Outbreak Detection and Diagnosis System – O.D.D.S.
O.D.D.S. is a mobile-based survey tool that speeds informal diagnosis of medical conditions. With simplistic pictograms in place of complicated written instructions, users select a “yes” or “no” check or x mark when their symptom appears on the survey, which generates a differential diagnosis. The diagnosis is accompanied by treatment recommendations and directs the pt. to the nearest registered doctor for advance treatment. Additional instructions are provided via audio to accommodate the illiterate populace. Epidemic professionals can use the data curated by this symptom checker to first identify and then monitor outbreak events.
Project: CAMY – Deep Learning for Early Outbreak Detection
CAMY is designed to predict disease outbreaks using social media and other existing channels of communication while connecting physicians and patients in under-resourced areas. Temporal and spatial information in conjunction with analysis of symptom keywords, will allow earlier and improved accuracy in predictions of outbreaks and movements of diseases. Patients will have access to a physician directory that allows them to enter symptoms and select a doctor specializing in their ailment. Governments can use the information collected in the database to improve public health surveillance techniques and develop new tools in a culturally sensitive manner.
Project: Multiplexed Early Warning System – MEWS
Despite growing interest and research in disease surveillance and global epidemiology, most tools never make it past research laboratories to affect change. MEWS has proposed a software toolkit to utilize the many disease tracking models published in the literature combined with cost-benefit analyses of prevention and treatment options, all to optimize the outcomes of actions taken by governmental and other health-related organizations. MEWS will bring together the diverse expertise of epidemiologists, engineers, disease modelers, and governmental advisers to translate valuable academic surveillance models into a program that will affect the health of populations at risk to disease outbreaks. No such system currently exists while the MEWS program can be integrated into government and NGO surveillance practices.
Project: Q808 Wikidata
Project Q808 is designed to support access to structured and open epidemiological data using the wikidata platform. Q808 assembled datasets, created new epidemiology related properties, and supplemented these data to wikidata, ensuring all of the components are freely available. Q808 focused on data (such as incubation period, basic reproduction number, case fatality rate, and virus diameter) which are essential for infectious diseases spread modeling.