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1. Dark Web Marketplaces and COVID-19: before the vaccine

   https://doi.org/10.1140/epjds/s13688-021-00259-w  

   Bracci, Alberto; Nadini, Matthieu; Aliapoulios, Maxwell; McCoy, Damon; Gray, Ian; Teytelboym, Alexander; Gallo, Angela; Baronchelli, Andrea (December 2021, EPJ Data Science)

   null (Ed.)

   Abstract The COVID-19 pandemic has reshaped the demand for goods and services worldwide. The combination of a public health emergency, economic distress, and misinformation-driven panic have pushed customers and vendors towards the shadow economy. In particular, dark web marketplaces (DWMs), commercial websites accessible via free software, have gained significant popularity. Here, we analyse 851,199 listings extracted from 30 DWMs between January 1, 2020 and November 16, 2020. We identify 788 listings directly related to COVID-19 products and monitor the temporal evolution of product categories including Personal Protective Equipment (PPE), medicines (e.g., hydroxyclorochine), and medical frauds . Finally, we compare trends in their temporal evolution with variations in public attention, as measured by Twitter posts and Wikipedia page visits. We reveal how the online shadow economy has evolved during the COVID-19 pandemic and highlight the importance of a continuous monitoring of DWMs, especially now that real vaccines are available and in short supply. We anticipate our analysis will be of interest both to researchers and public agencies focused on the protection of public health. 

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2. Advertising with Anonymity and Impunity: The Harmful Consequences of Counterfeit PPE Supply Chains

   https://doi.org/10.38126/JSPG220304  

   Hashemi, Layla M (September 2023, Journal of Science Policy & Governance)

   The rapid growth of illicit supply chains during and after the Covid-19 pandemic reveals a need for effectively combating and preventing the cross-border movement of contraband, including but not limited to counterfeit goods. A proactive approach by companies along with public stakeholders, such as government agencies and individual consumers, toward disrupting illicit supply chains operating across borders is especially important during moments of global crisis when consumers are more susceptible to unknowingly purchasing substandard counterfeit products such as respirators. While marketplaces, platforms, and other legitimate businesses have worked to prevent movement of counterfeits and illicit goods through their services, the high adaptability and sophistication of counterfeiters requires more preventative and multistakeholder approaches. This article outlines a multidisciplinary and multilayered approach to detecting and disrupting illicit supply chains of counterfeit personal protective equipment (PPE) with a focus on respirators. It utilizes research conducted for a National Science Foundation (NSF) grant on Covid-19 related crime, including the advertising and sale of counterfeit respirators. One layer examines online content as seen by the end user and the activity of vendors or sellers used to advertise and sell counterfeit products. The research is also informed by data on the information, financial, and physical flows of counterfeit respirators obtained through a public-private partnership with George Mason University’s Terrorism, Transnational Crime and Corruption Center (TraCCC-GMU) and 3M, one of the largest manufacturers of respirators in the world. The article examines an important and relatively recent trend - how emerging technological shifts in the marketplace are affecting global security. Research from the TraCCC-GMU and 3M partnership, including a data sharing agreement, revealed that counterfeiters constantly change their modus operandi to continue selling illicit goods with impunity, facilitating illicit activity with the use and abuse of legitimate companies such as ecommerce marketplaces and social media. The article presents an overview of the current state of counterfeit supply chains and provides concrete policy recommendations on how legitimate companies can move beyond just removing listings but must also actively prevent these transnational crimes through innovative multidisciplinary approaches, advanced data analytics, and public awareness campaigns. The research also seeks to connect the dots to broader policy implications in terms of the legitimate economy and environmental sustainability. 

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3. Understanding the Last Mile Transportation Concept Impacting Underserved Global Communities to Save Lives During COVID-19 Pandemic

   https://doi.org/10.3389/ffutr.2021.732331  

   Jones, Erick C.; Azeem, Gohar; Jones, Erick C.; Jefferson, Felicia; Henry, Marcia; Abolmaali, Shannon; Sparks, Janice (September 2021, Frontiers in Future Transportation)

   The underserved population could be at risk during the times of crisis, unless there is strong involvement from government agencies such as local and state Health departments and federal Center for Disease Control (CDC). The COVID-19 pandemic was a crisis of different proportion, creating a different type of burden on government agencies. Vulnerable communities including the elderly populations and communities of color have been especially hard hit by this pandemic. This forced these agencies to change their strategies and supply chains to support all populations receiving therapeutics. The National Science Foundation [National Science Foundation (NSF) Award Abstract # 2028612] funded RAID Labs to help federal agencies with strategies. This paper is based on a NSF funded grant to work on investigating supply chain strategies that would minimize the impact on underserved populations during pandemic. This NSF funded study identified the phenomena of last mile importance. The last mile transportation concept was critical in saving lives during the pandemic for underserved populations. The supply chain model then maximizes social goods by sending drugs or vaccines to the communities that need it the most regardless of ability to pay. The outcome of this study helped us prioritize the communities that need the vaccines the most. This informs our supply chain model to shift resources to these areas showing the value in real time prioritization of the COVID-19 supply chain. This paper provides information can be used in our healthcare supply chain model to ensure timely delivery of vaccines and supplies to COVID-19 patients that are the most vulnerable and hence the overall impact of COVID-19 can be minimized. The use of electrical vehicles for last mile transportation can help in significantly fighting the climate change. 

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4. A Different Experience in a Different Moment? Teachers’ Social Media Use Before and During the COVID-19 Pandemic

   https://doi.org/10.1177/23328584211063898  

   Aguilar, Stephen J.; Rosenberg, Joshua M.; Greenhalgh, Spencer P.; Fütterer, Tim; Lishinski, Alex; Fischer, Christian (January 2021, AERA Open)

   Teachers participate in professional learning activities to enhance their pedagogical knowledge and share best practices—and the increasing role of technologies in education, including social media, is shifting how this professional learning occurs. The COVID-19 pandemic provided an opportunity to consider the role of social media for professional learning. Using intensive longitudinal methods, we repeatedly surveyed 14 teachers’ use of social media both before and during the pandemic (N = 386 total responses). We found patterns in social media platforms uptake and their purposes, but teachers’ use of social media was largely idiosyncratic. Also, teachers demonstrated notable shifts in social media use after the pandemic started; multilevel models indicated that teachers were more likely to use social media to connect and share, especially, as well as learn and follow, compared with before the pandemic. Higher levels of COVID-19-related family stress were also associated with more use of social media to find materials. 

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5. Using COVID-19 Data on Vaccine Shipments and Wastage to Inform Modeling and Decision-Making

   https://doi.org/10.1287/trsc.2022.1134  

   Hajibabai, Leila; Hajbabaie, Ali; Swann, Julie; Vergano, Dan (September 2022, Transportation Science)

   Since the start of the COVID-19 pandemic, disruptions have been experienced in many supply chains, particularly in personal protective equipment, testing kits, and even essential household goods. Effective vaccines to protect against COVID-19 were approved for emergency use in the United States in late 2020, which led to one of the most extensive vaccination campaigns in history. We continuously collect data on vaccine allocation, shipment and distribution, administration, and inventory in the United States, covering the entire vaccination campaign. In this article, we describe some data sets that we collaborated to obtain. We are publishing the data and making them freely available to researchers, media organizations, and other stakeholders so that others may use the data to develop insights about the distribution and wastage of vaccines during the current pandemic or to provide an informed future pandemic response. This article gives an overview of vaccine distribution logistics in the United States, describes the data we obtain, outlines how they may be accessed and used by others, and describes some high-level analyses demonstrating some aspects of the data (for data collected during January 1, 2021–March 31, 2021). This article also provides directions for future research using the collected data. Our goal is two-fold: (i) We would like the data to be used in many creative ways to inform the current and future pandemic response. (ii) We also want to inspire other researchers to make their data publicly available in a timely manner. 

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