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COVID-19 projects looking for volunteers

New or established projects helping with the COVID-19 crisis that need help. Volunteer yourself or create a new one. Sign up to volunteer.

  • 379 volunteers - sign up to volunteer

    **We are on a mission to connect the dots.
    A plan is underway to bridge information gaps that have been harming our ability to respond to the world-wide pandemic Covid-19. The information needed exists, the technology is capable. What's missing is the connection. An end-to-end global community of partners, contributors and supporters are joining forces to end silos and build a readily available stream of data to those who need it, when they need it.

    **We are building the first Covid-19 data ecosystem
    Many teams are building APIs around the globe. While that is helpful, more is truly needed. We are building a full circle data ecosystem where data owners, aggregators and users can easily share and access data across the world, covering multiple areas around cases, patient data and supplies. Combining a Cloud-based data lake and a set of open APIs, our crowdsourced project is aimed at unifying all current data gathering efforts around Covid-19, to help all the key stakeholders (hospitals, governments and manufacturers) make their critical life-saving decisions.

    >> Think of this as a grassroots initiative to drive data transparency across covid19 across the globe!

    Global / remote
    created
  • CoronaMap is an open-source effort to create a live map that anonymously shows all users who self-reportedly have COVID-19 or show some of its symptoms. We are aiming to build a tool that

    1. Will help people track the spread in real-time and self-distance accordingly
    2. Give us an idea on how fast the virus is spreading according to unofficial user data.

    We believe tracking self-reported/unofficial cases is important since many countries have limited testing capabilities, so official numbers will naturally fail to reflect the nature of reality. We need mostly engineers but volunteers from all backgrounds are welcome.

    Remote
    created
  • 98 volunteers - sign up to volunteer

    The COVID Tracking Project collects information from 50 US states, the District of Columbia, and 5 other US territories to provide the most comprehensive testing data we can collect for the novel coronavirus, SARS-CoV-2. We currently attempt to include positive and negative results, hospitalizations, and total people tested for each state or district currently reporting that data.

    Helping with:
    Looking for:
    Remote
    created
  • Moonshot Objective: Reduce the R0 to < 1 by October 1, 2020

    We're trying to predict & prevent the spread of COVID-19 infections by:

    1. Using wearables to detect variances in resting heart rate, sleep, & body temperature

    Studies show that resting heart rate data & sleep quality measured from a Fitbit can predict influenza-like illnesses at the state level. We're extending these studies to detect COVID-19.

    2. Crowdsourcing self-reported symptom checks

    Along with passive, synchronous, and physiological data analysis, we're crowdsourcing self-reported symptom checks. Daily check-ins can help understand where the greatest needs will be.

    3. Gamifying self-quarantine, isolation, & social distancing protocols

    Let's apply behavioral economics & gamification techniques that incentivize people to follow the best protocols for their situation. We can have leaderboards for the most time stayed at home, mint cryptocurrency for daily check-ins, etc. Let's make it helpful, fun and less scary.

    The end goal is to get ahead of the coronavirus infection and flatten the curve before our healthcare system collapses.

    Remote
    created
  • Problem:
    The detection of COVID-19 symptoms requires doctor and hospital visits, or a visit to test sites outside from home. This results in possible transmission or infection of COVID-19, and an increase of doctor visits straining the medical resources available.

    Solution:
    Prognosis, diagnosis and screening for the patients infected with COVID-19 is suggested to be based on breathing characteristics (Wang et al. 2020. https://arxiv.org/abs/2002.05534).
    The detection of breathing patterns can be achieved via facial cameras and machine learning (Chen et al. 2019 https://arxiv.org/pdf/1909.03503.pdf).

    The proposed project is an app that can be installed and used on any smartphone and laptop to detect early symptoms of COVID-19 remotely without leaving the home.
    It uses the detection of breathing characteristics via technological devices accessible to everybody at home with cameras of smartphones/laptop and machine learning, and combines it with the detection of symptoms of breathing characteristics.
    The app could also include mindfulness and meditation exercises to help people reduce stress and anxiety.
    And resources to reach for the nearest hospital, doctor and pharmacy.
    As well as resources for communal support and connection to nearest online groups, help for grocery delivery etc.

    Anywhere
    created
  • 84 volunteers - sign up to volunteer

    'Face pandemic' is a non-profit and community-driven effort to utilized specialized technologies to identify, analyze and take preventive measures for outbreaks of infectious diseases like COVID-19. Unfortunately, most governments were not prepared to handle this pandemic. As a result, we the citizens have to take control and use our skills and efforts to keep everyone in communities safe globally. We have developed an application that anonymously acquires health and location information form participants and performs real-time analytics to predict the spread of the virus, alert everyone about the hot zones and identify preventive measures. Predictive analytics capability can help health professionals and emergency response teams to prepare in advance. THIS IS NOT A CONTACT TRACING APP. Our focus is to create a complete system that can help to identify infectious diseases in the early stages, start preventive measures and operation planning for the doctors/hospitals. Scale and reach to the maximum number of population is the key and it should work online - offline. We can't ever again in this situation yet and need to remember "Prevention is better than cure".

    Remote
    created
  • 72 volunteers - sign up to volunteer

    PrivateKit will address the current conflict between citizen privacy and infection tracking by developing a privacy-protecting solution for contact-tracing COVID-19 spread. The project will deploy in three phases to address the needs of citizens, health officials, and stakeholder organizations. The first objective is a mobile application for citizens which privately logs user location data and provides risk information to them on any contact with publicly known points of risk. The second objective is a collection of tools for health authorities to read, redact, and annotate location data from carriers of the virus to then relay to those that, based on their privately-held data, may have contracted the infection. The third and final objective is a cryptographic method to automatically redact and disseminate contact path information that maintains the balance of privacy and effectiveness while reducing the burden on health authorities. (http://privatekit.mit.edu/)

    Remote
    created
  • 68 volunteers - sign up to volunteer

    Help combat COVID-19 in the US and worldwide as NY State becomes battlefront. The project creates a dynamic map and trends dashboard webpage of NY state COVID-19 cases by county. The ultimate goal of our project is to assist decision-makers in better allocation of efforts and resources through visualizing cases and providing key trends. Further stages of the project consider building machine learning models to extract underlying structures of the temporal and spatial trends to help with preventing and responding to future outbreaks.

    The final tool will:
    1. Help state and counties decision-makers visualize and track the spread in real-time and take actions accordingly.
    2. Serve as a visualization tool for the state website: https://coronavirus.health.ny.gov/county-county-breakdown-positive-cases
    3. Keep track of trends and make recommendations.

    Volunteers will help in:
    1. Developing a dynamic front-end that integrates different parts and fetch new data.

    Remote
    created
  • 60 volunteers - sign up to volunteer

    We are building a solid-state nanopore device that can count individual SARS-CoV-2 virions in diverse bodily fluids without reagents or a cold chain.

    Remote
    created
  • Create a map-based data input component that will output historical geo-timeline information for confirmed cases like what's available here: https://github.com/jihoo-kim/Data-Science-for-COVID-19/blob/master/dataset/Patient/PatientRoute.csv, but for any geo. To be inserted in any tool that doctors, testers will use so they can interview cases and click and add info.

    The map component takes in an initial center (lat lon) and an anonomyzed patientId to begin recording a historical footprint timeline (i.e. series of footprints with lat/long/date/time info) for a particular case that can then be saved to whatever output destination it needs to saved to.

    This component can be used as a stand-alone as at the demo site https://geotime.gregmarlin.com or imported into any React project as a component.

    Remote
    created
  • 55 volunteers - sign up to volunteer

    COVID19 changed the way we live, work, interact with each other, and even the way we get hospitalized when we need medical care. For many of us, Corona Crisis has or will have in the future an enormous impact on our personal, professional, financial, and medical situation.

    For this reason, we decided to start a community of people with diverse backgrounds, business, financial, medical, psychology, legal, design user experience, human experience, customer experience, service design, research, IT, software, hardware, public sector, and anything else you can think of, willing to spend 1%-5% of their time working together or advising the people working on challenges.

    We launched our beta invitation yesterday, and at the time being, our Design Against Corona community has 52 people from all around the world and seven challenges to work on.

    To propose impactful and feasible solutions, we need more people and more challenges.

    Remote
    created
  • flashpub.io is a startup that partners with specific research communities to accelerate discovery with smaller, faster research reports. We're launching an outbreak science community to rapidly publish and update spread models of COVID-19 at the city level and predict when cities may reach a tipping point in hospitalizations vs capacity. This project will help fill a critical missing information gap in modeling data at the city level that can be used to make resource allocation decisions. Model predictions for each city will be published and peer reviewed at outbreak.flashpub.io.

    Remote
    created
  • 43 volunteers - sign up to volunteer

    Delovery is a delivery service to address the COVID-19 Pandemic. With many that are susceptible to not only contracting, but potentially dying from the virus, it is more important than ever to reduce risk.

    Our delivery service is designed to have Coronavirus tested drivers to ensure that exposure and contamination are minimized for the greater population.

    Right now Delovery is getting support from prominent community figures, medical professionals and governments in the United States and Canada.

    With a rally cry of:

    “Reduce interactions. Reduce risk. Reduce consequences.”

    It’s not hard to understand what value Delovery is bringing to communities everywhere.

    Remote is going to be acceptable.
    created
  • 34 volunteers - sign up to volunteer

    Stealth.ify is a web-based app that uses geospatial technology and predictive analytics to create fencing and levels of contracting the virus based on someone’s location; connecting real-time foot traffic data of stores/supermarkets to prevent crowdedness in an effort to adhere to social distancing. Interactive map features and push notifications to alert user when they have reached a high risk area. Product updates in real time using predictive analytics to estimate the rate of spread.

    We are currently building a mock up and demo. Looking for strong product design volunteers to join and add their expertise to this amazing project that will have features that exceed beyond covid19.

    Remote
    created
  • 33 volunteers - sign up to volunteer

    Project Lockdown provides a worldwide overview of government-imposed movement restrictions as a measure to mitigate the serious, global effects of the COVID-19 outbreak. This interactive map tracks the status of all countries and provides information on relevant metrics to assist journalists and human rights defenders in carrying out their tasks for the common good.

    Remote
    created
  • 33 volunteers - sign up to volunteer

    Objective - Keep patients and suspected patients at home
    Continuous Monitoring of health condition:
    Once the patient is equipped with wifi connected PO2 and Body temperature device to our smartphone app, HealthClues (c) starts monitoring, recording, collecting and storing patient’s health data over a distance in real time.
    This allows patients to stay at home or in any other place rather than in an scarce healthcare facility such as a hospital.
    Health Risk Assessment
    Healthclues use patented mathematical models and algorithms to discover health risks such as infectious disease such as COVID 19, cardio problems or diabetic issues. And not only that, it can also use GPS location to know where someone needs help or perform mobility profiling.

    Telemedicine and Proactive communication
    Patients are able to connect with doctors and nurses using built in secure two way communication systems through phone calls, video calls, SMS and email system. Each of the interactions are recorded as a patient record.

    Remote and or Sunnyvale, California
    created
  • 32 volunteers - sign up to volunteer

    Protect your loved ones by sending anonymous location data. See your risk score based off your activity, and keep it low with guidance from the WHO. If you become infected, send an anonymous care message to those you've been in contact with.

    Remote
    created
  • 28 volunteers - sign up to volunteer

    The COVID-19 Data Repository is a data repository that contains all kinds of information available about the COVID-19 virus, we gather, sanitize, normalize & categorise data daily from sources like NGO's and Governments, to make them available for research.

    The COVID-19 virus is spreading at an alarming rate and the global medical community is still trying to get a grasp on what exactly is needed to fight this disease and prepare for the future.

    People in the medical world are asking the tech community for help to provide solutions. The way we're trying to help is to make sure that all the data that is there is available in easy ways for research. We're trying do this in a few diferent ways:

    - Collect all the data from sources like NGO's and governments
    - Validate, sanitize & normalize the data
    - Categorise the data and create useable datasets for research
    - Make the data available by creating an API & packages for data analysis tools frameworks and languages like R, Python (pip)

    Furthermore the repository contains importer scripts to automatically update the datasets in the repository on a regular basis.

    Link to the github organisation & repos: https://github.com/COVID-19-Data

    COVID-19 Data repository is open source and not associated with any particular company or organisation.

    Remote
    created
  • 24 volunteers - sign up to volunteer

    Amber-Alerts for Corona Virus:
    Automated, Private & Decentralized Contact Tracing using GPS-logs on Smartphones.

    Contact Tracing is how we beat smallpox. This is what is working in Singapore, HongKong and Israel to limit the spread of the virus. Users self-report and the app notifies people that were in spatio-temporal proximity.

    Fundamentally ‘Contact Tracing’ is about changing how we fight a war against the virus. With Contact Tracing, we can take the fight to the virus by tracking it instead of waiting for the virus to come to us. Health departments nationally and internationally are overwhelmed and technology needs to be built to help them. And we need to be the ones that build it!

    Here is how CoronaTrace works:
    * Download the CoronaTrace app for iOS or Android, and select if you are confirmed infected.
    * CoronaTrace will work in the background using your location to assess your risk level and privately and silently match your location with other users of the app.
    * CoronaTrace will notify you if you are entering an area where an infected person has been within the last two weeks so that you can immediately take action and avoid any risks.
    * Explore the map to understand and avoid the highest-risk areas.

    Remote
    created
  • This project was created after recognizing the importance of testing in preventing the spread of COVID-19 and listening to stories of Americans who were being denied COVID-19 due to a lack of capacity.

    We are building a digital list of all the people who want to have access to a COVID-19 test, why and where these requests are occurring.

    We are going to send updates to the registered list members about testing capacity increases, changes in testing criteria and new testing facilities launched based on their region. We collect anonymous symptom screener information with the intent to focus on areas where we see a large increase of high/med - risk suspected cases and also to get a qualitative look at the spread of the disease amongst the un-tested population.

    We are also developing help guides on self-isolation for people who are caring for themselves or others suspected of having a COVID-19 diagnosis.

    The mission is really to work a patient advocate to ensure that people who suspect they have COVID-19 are notified when COVID-19 tests become available to them so we can prevent the spread, get people proper treatment and quell the uncertainty of someone health status.

    We are simultaneously developing another project to help labs and testing facilities be able to request needs to ensure they have all the resources they need to increase testing capacity.

    Remote
    created
  • 22 volunteers - sign up to volunteer

    Goal is to build a map of hospitals with crowdsourced status reports so it's easy for the public to see where's getting overwhelmed at any time.

    Remote
    created
  • 21 volunteers - sign up to volunteer

    tl;dr:
    SMS chatbot to prescreen potential covid-19 sufferers (based on existing protocols). Update: We shipped product in 3 days - go team!

    Join our Slack Group:
    https://join.slack.com/t/covid9teen/shared_invite/zt-czt2azr7-iYFqn_VZ39bydd1~SnSkVA

    Problem:
    Existing health services are overwhelmed by inquiries (web, phone, ER, etc). Many are false positives (feel sick, but not covid-19). This takes testing resources away from true positives (feel sick and positive for covid-19).

    In British Columbia, Canada, our current health service provider takes about a day to reply from a human SMS operator. A chatbot is a practical application because the task is repetitive and follows a sequential set of rules.

    Objective:
    Inform concerned citizens at scale and reduce the burden on healthcare professionals.

    Solution (MVP):
    Supplement human-operated SMS with a chatbot, which follows the same self-assessment protocol. In Canada, the self-assessment tool is near-identical across all provinces: https://myhealth.alberta.ca/journey/covid-19/Pages/COVID-Self-Assessment.aspx

    This SMS solution can be customized for your own regional health authorities. We are looking to expand to other communication channels (e.g. Whatsapp, messenger, Intercom, etc.)

    Specifics:
    User texts “I feel sick” to (587)210-2300. The ~8 question screening tool is based on Yes/No replies (boolean).

    To programmatically apply if/else statements, we're using Twilio Autopilot/functions.

    This is the abridged version of the ~8 question survey:
    1. Are you experiencing severe difficult Breathing...Y/N
    2. Are you experiencing shortness of breath...Y/N
    3. Do you have any of the following: Fever, cough,...Y/N
    4A. Were you exposed to someone who has been confirmed as having COVID-19 within 14 days of your symptoms starting? Y/N
    5A. Did you travel outside Canada within 14 days of your symptoms starting? Y/N
    6A. Have you been in close contact with someone with respiratory illness in the past 14 days? Y/N
    7A. Had that person traveled outside of Canada within the past 28 days? Y/N
    8A. In the past 14 days have you returned from travel to any other locations outside of Canada? Y/N

    The current protocol has 3 possible outcomes:
    1. Forward to 911 (emergency services)
    2. Forward to 811 (non emergency info line; your region may differ)
    3. No testing required.

    Deployment:
    After building a proof of concept, share it and/or give it away to your local/regional authorities for free. We may request large organizations (e.g. government/corporations) to cover ongoing maintenance costs ($/SMS).

    Update:
    After 72 hours, we have launched the SMS - Congrats, team Covid9teen!

    Product Development:
    • Expand to other channels (e.g. Whatsapp, Messenger, intercom, etc)
    • Shortcode SMS (e.g. Text "I feel sick" to 123123). Note: Applications for shortcode SMS take over a month for approval and costs >$1000. Source: https://www.twilio.com/shortcode/short-code-type
    • Calculate the probability of a user having Covid-19 by taking the users input (e.g. symptoms, location, age, etc) and comparing it with known symptoms provided by the WHO. Source: https://www.youtube.com/watch?v=OOJqHPfG7pA

    Benefits to you:
    • Skills in chatbot development
    • Product manage your own region
    • Potential Machine learning applications
    • Join the fight against Covid-19

    Remote
    created
  • 20 volunteers - sign up to volunteer

    It's a leaderboard to highlight which locales are doing a good job of slowing the spread of the virus, with the hope that this will encourage and inspire people to start and continue with tough measures like social distancing.

    remote
    created
  • COVID-19 self-assessment tool working directly with hospitals and public health authorities.

    We are the official screening application for Harris County and the City of Houston. Processing about ~10k screenings per day (and rising).

    Fort Bend County coming soon.

    We are reaching out to hospitals and other counties as fast as we can to integrate with their testing workflows. Also talking with BARDA about potential federal involvement.

    Remote is great. Most of the team is located in Houston, TX
    created
  • 19 volunteers - sign up to volunteer

    Children going through cancer treatment have no immune system. They can quickly die from COVID-19. We have to protect them.

    In this project, we will put together their contact information in a directory and assign medical students to check on them.

    We will call them periodically, ask about their status, link them with resources, order them food, deliver them stuff, and do whatever we can.

    This directory is a vital investment because it will become the national guard equivalent for kids with cancer.

    San Francisco, Palo Alto, Stanford, Los Angeles, San Diego
    created