Cellphone tracking could help stem the spread of coronavirus. Is privacy the price?


Kelly Servick at Science: “…At its simplest, digital contact tracing might work like this: Phones log their own locations; when the owner of a phone tests positive for COVID-19, a record of their recent movements is shared with health officials; owners of any other phones that recently came close to that phone get notified of their risk of infection and are advised to self-isolate. But designers of a tracking system will have to work out key details: how to determine the proximity among phones and the health status of users, where that information gets stored, who sees it, and in what format.

Digital contact tracing systems are already running in several countries, but details are scarce and privacy concerns abound. Protests greeted Israeli Prime Minister Benjamin Netanyahu’s rollout this week of a surveillance program that uses the country’s domestic security agency to track the locations of people potentially infected with the virus. South Korea has released detailed information on infected individuals—including their recent movements—viewable through multiple private apps that send alerts to users in their vicinity. “They’re essentially texting people, saying, ‘Hey, there’s been a 60-year-old woman who’s positive for COVID. Click this for more information about her path,’” says Anne Liu, a global health expert at Columbia University. She warns that the South Korean approach risks unmasking and stigmatizing infected people and the businesses they frequent.

But digital tracking is probably “identifying more contacts than you would with traditional methods,” Liu says. A contact-tracing app might not have much impact in a city where a high volume of coronavirus cases and extensive community transmission has already shuttered businesses and forced citizens inside, she adds. But it could be powerful in areas, such as in sub-Saharan Africa, that are at an earlier stage of the outbreak, and where isolating potential cases could avert the need to shut down all schools and businesses. “If you can package this type of information in a way that protects individual privacy as best you can, it can be something positive,” she says.

Navigating privacy laws

In countries with strict data privacy laws, one option for collecting data is to ask telecommunications and other tech companies to share anonymous, aggregated information they’ve already gathered. Laws in the United States and the European Union are very specific about how app and device users must consent to the use of their data—and how much information companies must disclose about how those data will be used, stored, and shared. Working within those constraints, mobile carriers in Germany and Italy have started to share cellphone location data with health officials in an aggregated, anonymized format. Even though individual users aren’t identified, the data could reveal general trends about where and when people are congregating and risk spreading infection.

Google and Facebook are both in discussions with the U.S. government about sharing anonymized location data, The Washington Post reported this week. U.S. companies have to deal with a patchwork of state and federal privacy regulations, says Melissa Krasnow, a privacy and data security partner at VLP Law Group. App and devicemakers could face user lawsuits for sharing data in a way that wasn’t originally specified in their terms of service—unless federal or local officials pass legislation that would free them from liability. “Now you’ve got a global pandemic, so you would think that [you] would be able to use this information for the global good, but you can’t,” Krasnow says. “There’s expectations about privacy.”

Another option is to start fresh with a coronavirus-specific app that asks users to voluntarily share their location and health data. For example, a basic symptom-checking app could do more than just keeping people who don’t need urgent care out of overstretched emergency rooms, says Samuel Scarpino, an epidemiologist at Northeastern University. Health researchers could use also use location data from the app to estimate the size of an outbreak. “That could be done, I think, without risking being evil,” he says.

For Scarpino, the calculus changes if governments want to track the movements of a specific person who has coronavirus relative to the paths of other people, as China and South Korea have apparently done. That kind of tracking “could easily swing towards a privacy violation that isn’t justified by the potential public health benefit,” he says….(More)”.

Governments could track COVID-19 lockdowns through social media posts


Alfred Ng at CNET: “Your posts on social media have been harvested for advertising. They’ve been taken to build up a massive facial recognition database. Now that same data could be used by companies and governments to help maintain quarantines during the coronavirus outbreak. 

Ghost Data, a research group in Italy and the US, collected more than half a million Instagram posts in March, targeting regions in Italy where residents were supposed to be on lockdown. It provided those images and videos to LogoGrab, an image recognition company that can automatically identify people and places. The company found at least 33,120 people violated Italy’s quarantine orders. 

Andrea Stroppa, the founder of Ghost Data, said his group has offered its research to the Italian government. Stroppa doesn’t consider the social media scraping to be a privacy concern because researchers anonymized the data by removing profile and specific location data before analyzing it. He also has public health on his mind. 

“In our view, privacy is very important. It’s a fundamental human right,” Stroppa said. “However, it’s important to give our support to help the government and the authorities. Hundreds of people are dying every day.”…(More)” .

Can location data from smartphones help slow the coronavirus? Facebook is giving academics a chance to try


Rebecca Robbins at Statnews: “It’s emerging as one of the more promising — and potentially controversial — ideas to slow the spread of the coronavirus: collecting smartphone data to track where people have gone and who they’ve crossed paths with.

The White House has discussed the notion, and several companies are reportedly in talks with the Trump administration to share aggregated user data. Researchers in the U.K. are working on one such app, and a team led by researchers at the Massachusetts Institute of Technology is building another, with an eye toward protecting user privacy. China and South Korea developed their own smartphone surveillance systems to try to clamp down on their own outbreaks, though their approaches likely wouldn’t be palatable in countries with greater expectations of privacy.

Then there’s Facebook, which collects data from its users around the world who opt in to sharing their location when using its smartphone app. Facebook does not share this information with governments. But in recent weeks, the social media giant has been sharing these data — in aggregated and anonymized form — with academic and nonprofit researchers analyzing the spread of the coronavirus.

Among the universities where Covid-19 researchers are harnessing Facebook’s data: the Harvard T.H. Chan School of Public Health, National Tsing Hua University in Taiwan, University of Pavia in Italy, and the London School of Hygiene and Tropical Medicine.

The idea is to study where people move and how often they encounter each other, in the hope of better understanding the virus’ spread — and which places are likely to soon see a spike in cases….(More)”.

Commission tells carriers to hand over mobile data in coronavirus fight


Mark Scott, Laurens Cerulus and Laura Kayali at Politico: “The European Commission on Monday urged Europe’s telecoms giants including Deutsche Telekom and Orange to share reams of people’s mobile data from across the region to help predict the spread of the coronavirus.

In a conference call with telecoms executives, Thierry Breton, Europe’s internal market commissioner, called on the companies to hand over anonymized and aggregated data from people’s mobile phones to track how the virus was spreading, according to three people with direct knowledge of the matter who spoke on the condition of anonymity because they were not authorized to speak publicly.

The draft plans would allow the Commission — and not the carriers — to manage how the data was used, and give EU officials control over so-called metadata on hundreds of millions of people’s mobile phones. That represents a significant step for Brussels as it would make the EU executive liable for any hefty fines if the digital information was hacked or misused.

Speaking to POLITICO, Breton confirmed the request to carriers, adding that the Commission needed such aggregated metadata to track the spread of the virus and determine where people’s need for medical supplies was the most pressing.

“We will select one big operator by country,” Breton said. “We want to be very fast and follow this on a daily basis.”

The Commission insisted the operation would respect the bloc’s privacy rules, known as the General Data Protection Regulation, and e-privacy legislation. The European Data Protection Supervisor would also be involved, the EU executive added. ..

In recent weeks, mobile operators have started to share anonymized data with EU governments in response to the spread of COVID-19. Carriers involved in the discussions with the Commission said Breton’s request would likely include providing the same type of data, and would have to respect the region’s tough privacy rules….

By aiming to pool large amounts of European mobile data, the Commission is following in the footsteps of national agencies, many of which are already working with carriers to track the spread of the virus through such anonymized digital information.

In Norway, local researchers saw a 60 percent decline in people traveling between cities after a countrywide lockdown was introduced — figures that were taken from people’s mobile phone data provided by Telenor, the national carrier.

Yet as the crisis has continued, countries such as Spain and Poland have gone a step further by creating smartphone apps, which offer an even greater ability to track and monitor people’s movements compared to anonymized mobile data. In the U.K., an app is in the works but has not yet launched….(More)”.

Data Reveals the True Impact of the Coronavirus Outbreak


Gian Volpicelli at Wired: “Something was wrong with Malaysia’s internet. It was March 13, and the more Simon Angus looked at the data, the more he suspected that the country might be in the midst of a coronavirus crisis.

Angus is an academic at Monash University and the cofounder of Kaspr Datahaus, a Melbourne-based company that analyses the quality of global internet connection to glean economic and social insights. The company monitors millions of internet-connected devices to gauge internet speed across the world. For them, a sudden deterioration in a country’s internet speed means that something is putting the network under strain. In recent weeks Kaspr’s theory is that the “something” is linked to the Covid-19 epidemics – as people who are working from home, or quarantining, or staying home as a precaution start using the internet more intensely than usual.

“For people who are in lockdown, or in panic mode, or in self-isolation, the internet has become a fundamentally important part of their information source, and of their consumption of entertainment,” Angus says.

To put it bluntly, when millions more turn on Netflix, scroll through TikTok, start a Zoom call, play Fortnite, or simply scroll idly through Twitter, that has repercussions on the quality of the country’s internet. (That is why EU commissioner Thierry Breton asked Netflix to restrict high-definition streaming until the emergency is over.)

Now, Angus’ scanning had detected that Malaysia’s internet had become over five percent slower in the March 12 to 13 timespan—worse even than in locked-down Italy. Officially, though, Malaysia had only 129 confirmed coronavirus cases—a relatively low number, although it had been inching up for a week.

What was happening, though, was that the population was cottoning on to the government’s sloppy handling of the pandemic. In late February, in what would turn out to be a monumental blunder, authorities had allowed a religious mass gathering to go ahead in Kuala Lumpur. Once Covid-19 cases linked to the event started to emerge, the government scrambled to find all the attendees, but got the numbers wrong—first saying that only 5,000 people at the gathering were Malaysia residents, then updating the figure to 10,000 and then 14,500. With the mess laid bare, many Malaysians seemed to have decided to stay at home out of sheer self-preservation…(More)”.

Global Data Access for Solving Rare Disease: A Health Economics Value Framework


WEF Report: “…The genomic nature of rare disease suggests an opportunity. By bringing together genomic, phenotypic, and clinical data at a global scale, individual countries and hospitals carrying out genomics research could come up with more answers both to diagnose currently undiagnosed or misdiagnosed people with rare disease and to develop treatments.

With an estimated 15.2 million individuals expected to have clinical genomic testing for a rare condition within the next five years, it is time to evaluate the economic and societal benefits of developing a system that can share this data without compromising privacy.

The answer is a technical solution called a “federated data system”. This is a data superstructure that can aggregate remote data sets for querying while still allowing for localized, data control and security. The groupings are independent, but interoperable. They have their own governance and the information inside them is protected, but they offer evidence – conclusions gathered from the data – that can be used to feed a much larger, global data engine.

The result is a robust and well-annotated dataset that in the case of rare diseases can be added to and then used by different countries to enable global and country-specific solutions to diagnosis, treatment, patient trial recruitment and management of rare diseases. Developing federated data systems is one of the many investments countries are currently considering. Yet since its implementation can be costly (about half a million US dollars) is it the right solution?…(More)”.

Toward Building The Data Infrastructure And Ecosystem We Need To Tackle Pandemics And Other Dynamic Societal And Environmental Threats


CALL FOR ACTION: “The spread of COVID-19 is a human tragedy and a worldwide crisis. The social and economic costs are huge, and they are contributing to a global slowdown. Despite the amount of data collected daily, we have not been able to leverage them to accelerate our understanding and action to counter COVID-19. As a result we have entered a global state of profound uncertainty and anxiety.

The current pandemic has not only shown vulnerabilities in our public health systems but has also made visible our failure to re-use data between the public and private sectors — what we call data collaboratives — to inform decision makers how to fight dynamic threats like the novel Coronavirus.

We have known for years that the re-use of aggregated and anonymized data — including from telecommunications, social media, and satellite feeds — can improve traditional models for tracking disease propagation. Telecommunications data has, for instance, been re-used to support the response to Ebola in Africa (Orange) and swine flu in Mexico (Telefónica). Social media data has been re-used to understand public perceptions around Zika in Brazil (Facebook). Satellite data has been used to track seasonal measles in Niger using nighttime lights. Geospatial data has similarly supported malaria surveillance and eradication efforts in Sub-Saharan Africa. In general, many infectious diseases have been monitored using mobile phones and mobility.

The potential and realized contributions of these and other data collaboratives reveal that the supply of and demand for data and data expertise are widely dispersed. They are spread across government, the private sector, and civil society and often poorly matched.

Much data needed by researchers is never made accessible to those who could productively put it to use while much data that is released is never used in a systematic and sustainable way during and post crisis.

This failure results in tremendous inefficiencies and costly delays in how we respond. It means lost opportunities to save lives and a persistent lack of preparation for future threats….(More)”. SIGN AND JOIN HERE.

See also Living Repository of Data4COVID19 Collaboratives.

Like Zika, The Public Is Heading To Wikipedia During The COVID-19 Coronavirus Pandemic


Farah Qaiser at Forbes: “A new study out in the PLOS Computational Biology journal shows that public attention in the midst of the Zika virus epidemic was largely driven by media coverage, rather than the epidemic’s magnitude or extent, highlighting the importance of mass media coverage when it comes to public health. This is reflected in the ongoing COVID-19 situation, where to date, the main 2019–20 coronavirus pandemic Wikipedia page has over ten million page views.

The 2015-2016 Zika virus epidemic began in Northeastern Brazil, and spread across South and North America. The Zika virus was largely spread by infected Aedes mosquitoes, where symptoms included a fever, headache, itching, and muscle pain. It could also be transmitted between pregnant women and their fetuses, causing microcephaly, where a baby’s head was much smaller than expected.

Similar to the ongoing COVID-19 situation, the media coverage around the Zika virus epidemic shaped public opinion and awareness.

“We knew that it was relevant, and very important, for public health to understand how the media and news shapes the attention of [the] public during epidemic outbreaks,” says Michele Tizzoni, a principal investigator based at the Institute for Scientific Interchange (ISI) Foundation. …

Today, the 2019–20 coronavirus pandemic Wikipedia page has around ten million page views. As per Toby Negrin, the Wikimedia Foundation’s Chief Product Officer, this page has been edited over 12K times by nearly 1,900 different editors. The page is currently semi-protected – a common practice for Wikipedia pages that are relevant to current news stories.

In an email, Negrin shared that “the day after the World Health Organization classified COVID-19 as a pandemic on March 11th, the main English Wikipedia article about the pandemic had nearly 1.1 million views, an increase of nearly 30% from the day before the WHO’s announcement (on March 10th, it had just over 809,000 views).” This is similar to the peaks in Wikipedia attention observed when official announcements took place during the Zika virus epidemic.

In addition, initial data from Tizzoni’s research group shows that the lockdown in Italy has resulted in a 50% or more decrease in movement between provinces. Similarly, Negrin notes that since the national lockdown in Italy, “total pageviews from Italy to all Wikimedia projects increased by nearly 30% over where they were at the same time last year.”

With increased public awareness during epidemics, tackling misinformation is critical. This remains important at Wikipedia.

“When it comes to documenting current events on Wikipedia, volunteers take even greater care to get the facts right,” stated Negrin, and pointed out that there is a page dedicated to misinformation during this pandemic, which has received over half a million views….(More)”.

CARE Principles for Indigenous Data Governance


The Global Indigenous Data Alliance: “The current movement toward open data and open science does not fully engage with Indigenous Peoples rights and interests. Existing principles within the open data movement (e.g. FAIR: findable, accessible, interoperable, reusable) primarily focus on characteristics of data that will facilitate increased data sharing among entities while ignoring power differentials and historical contexts. The emphasis on greater data sharing alone creates a tension for Indigenous Peoples who are also asserting greater control over the application and use of Indigenous data and Indigenous Knowledge for collective benefit.

This includes the right to create value from Indigenous data in ways that are grounded in Indigenous worldviews and realise opportunities within the knowledge economy. The CARE Principles for Indigenous Data Governance are people and purpose-oriented, reflecting the crucial role of data in advancing Indigenous innovation and self-determination. These principles complement the existing FAIR principles encouraging open and other data movements to consider both people and purpose in their advocacy and pursuits….(More)”.

Milwaukee’s Amani Neighborhood Uses Data to Target Traffic Safety and Build Trust


Article by Kassie Scott: “People in Milwaukee’s Amani neighborhood are using data to identify safety issues and build relationships with the police. It’s a story of community-engaged research at its best.

In 2017, the Milwaukee Police Department received a grant under the federal Byrne Criminal Justice Innovation program, now called the Community Based Crime Reduction Program, whose purpose is to bridge the gap between practitioners and researchers and advance the use of data in making communities safer. Because of its close ties in the Amani neighborhood, the Dominican Center was selected to lead this initiative, known as the Amani Safety Initiative, and they partnered with local churches, the district attorney’s office, LISC-Milwaukee, and others. To support the effort with data and coaching, the police department contracted with Data You Can Use.

Together with Data You Can Use, the Amani Safety Initiative team first implemented a survey to gauge perceptions of public safety and police legitimacy. Neighborhood ambassadors were trained (and paid) to conduct the survey themselves, going door to door to gather the information from nearly 300 of their neighbors. The ambassadors shared these results with their neighborhood during what they called “data chats.” They also printed summary survey results on door hangers, which they distributed throughout the neighborhood.

Neighbors and community organizations were surprised by the survey results. Though violent crime and mistrust in the police were commonly thought to be the biggest issues, the data showed that residents were most concerned about traffic safety. Ultimately, residents decided to post slow-down signs in intersections.

This project stands out for letting the people in the neighborhood lead the way. Neighbors collected data, shared results, and took action. The partnership between neighbors, police, and local organizations shows how people can drive decision-making for their neighborhood.

The larger story is one of social cohesion and mutual trust. Through participating in the initiative and learning more about their neighborhood, Amani neighbors built stronger relationships with the police. The police began coming to neighborhood community meetings, which helped them build relationships with people in the community and understand the challenges they face….(More).