Genomic surveillance reveals dynamic shifts in the connectivity of COVID-19 epidemics

Matteson, Nathaniel L.; Hassler, Gabriel W.; Kurzban, Ezra; Schwab, Madison A.; Perkins, Sarah A.; Gangavarapu, Karthik; Levy, Joshua I.; Parker, Edyth; Pride, David; Hakim, Abbas; De Hoff, Peter; Cheung, Willi; Castro-Martinez, Anelizze; Rivera, Andrea; Veder, Anthony; Rivera, Ariana; Wauer, Cassandra; Holmes, Jacqueline; Wilson, Jedediah; Ngo, Shayla N.; Plascencia, Ashley; Lawrence, Elijah S.; Smoot, Elizabeth W.; Eisner, Emily R.; Tsai, Rebecca; Chacón, Marisol; Baer, Nathan A.; Seaver, Phoebe; Salido, Rodolfo A.; Aigner, Stefan; Ngo, Toan T.; Barber, Tom; Ostrander, Tyler; Fielding-Miller, Rebecca; Simmons, Elizabeth H.; Zazueta, Oscar E.; Serafin-Higuera, Idanya; Sanchez-Alavez, Manuel; Moreno-Camacho, Jose L.; García-Gil, Abraham; Murphy Schafer, Ashleigh R.; McDonald, Eric; Corrigan, Jeremy; Malone, John D.; Stous, Sarah; Shah, Seema; Moshiri, Niema; Weiss, Alana; Anderson, Catelyn; Aceves, Christine M.; Spencer, Emily G.; Hufbauer, Emory C.; Lee, Justin J.; King, Alison J.; Ramesh, Karthik S.; Nguyen, Kelly N.; Saucedo, Kieran; Robles-Sikisaka, Refugio; Fisch, Kathleen M.; Gonias, Steven L.; Birmingham, Amanda; McDonald, Daniel; Karthikeyan, Smruthi; Martin, Natasha K.; Schooley, Robert T.; Negrete, Agustin J.; Reyna, Horacio J.; Chavez, Jose R.; Garcia, Maria L.; Cornejo-Bravo, Jose M.; Becker, David; Isaksson, Magnus; Washington, Nicole L.; Lee, William; Garfein, Richard S.; Luna-Ruiz Esparza, Marco A.; Alcántar-Fernández, Jonathan; Henson, Benjamin; Jepsen, Kristen; Olivares-Flores, Beatriz; Barrera-Badillo, Gisela; Lopez-Martínez, Irma; Ramírez-González, José E.; Flores-León, Rita; Kingsmore, Stephen F.; Sanders, Alison; Pradenas, Allorah; White, Benjamin; Matthews, Gary; Hale, Matt; McLawhon, Ronald W.; Reed, Sharon L.; Winbush, Terri; McHardy, Ian H.; Fielding, Russel A.; Nicholson, Laura; Quigley, Michael M.; Harding, Aaron; Mendoza, Art; Bakhtar, Omid; Browne, Sara H.; Olivas Flores, Jocelyn; Rincon Rodríguez, Diana G.; Gonzalez Ibarra, Martin; Robles Ibarra, Luis C.; Arellano Vera, Betsy J.; Gonzalez Garcia, Jonathan; Harvey-Vera, Alicia; Knight, Rob; Laurent, Louise C.; Yeo, Gene W.; Wertheim, Joel O.; Ji, Xiang; Worobey, Michael; Suchard, Marc A.; Andersen, Kristian G.; Campos-Romero, Abraham; Wohl, Shirlee; Zeller, Mark

doi:10.1016/j.cell.2023.11.024

Cited by 4 publications

(1 citation statement)

References 85 publications

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“…Defined as the ability of a supply chain to return to its original or an improved state post-disruption, supply chain resilience was first highlighted by Christopher and Peck in 2004 [16,17]. The importance of this concept has been underscored by the COVID-19 pandemic, driving extensive research into assessing and improving the resilience of supply chain networks [5,[18][19][20][21][22][23][24][25][26][27][28][29]. Companies are encouraged to develop flexible production layouts and strengthen collaborations to adapt to market changes and customer demands, thereby enhancing competitive advantages [27,[30][31][32][33][34][35].…”

Section: Exploration Of Emerging Themesmentioning

confidence: 99%

Uncovering the Research Hotspots in Supply Chain Risk Management from 2004 to 2023: A Bibliometric Analysis

Ding,

Huang

2024

Sustainability

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As globalization deepens, factors such as the COVID-19 pandemic and geopolitical tensions have intricately complexified supply chain risks, underscoring the escalating significance of adept risk management. This study elucidates the evolution, pivotal research foci, and emergent trends in supply chain risk management over the past two decades through a multifaceted lens. Utilizing bibliometric tools CiteSpace and HistCite, we dissected the historical contours, dynamic topics, and novel trends within this domain. Our findings reveal a sustained fervor in research activity, marked by extensive scientific collaboration over the past 20 years. Distinct research hotspots have surfaced intermittently, featuring 20 domains, 62 keywords, and 60 citation bursts. Keyword clustering identified seven nascent research subfields, including stochastic planning, game theory, and risk management strategies. Furthermore, reference clustering pinpointed five contemporary focal areas: robust optimization, supply chain resilience, blockchain technology, supply chain finance, and Industry 4.0. This review delineates the scholarly landscape from 2004 to 2023, uncovering the latest research hotspots and developmental trajectories in supply chain risk management through a bibliometric analysis.

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Section: Exploration Of Emerging Themesmentioning

confidence: 99%

Uncovering the Research Hotspots in Supply Chain Risk Management from 2004 to 2023: A Bibliometric Analysis

Ding,

Huang

2024

Sustainability

View full text Add to dashboard Cite

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High-resolution epidemiological landscape from ~290,000 SARS-CoV-2 genomes from Denmark

Khurana,

Curran-Sebastian,

Scheidwasser

et al. 2024

Nat Commun

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Routes of importation and spatial dynamics of SARS-CoV-2 variants during localized interventions in Chile

Gutierrez,

Tsui,

Pullano

et al. 2024

PNAS Nexus

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Human mobility is strongly associated with the spread of SARS-CoV-2 via air travel on an international scale, and with population mixing and the number of people moving between locations on a local scale. However, these conclusions are drawn mostly from observations in the context of the global north where international and domestic connectivity is heavily influenced by the air travel network; scenarios where land-based mobility can also dominate viral spread remain understudied. Furthermore, research on the effects of non-pharmaceutical interventions (NPIs) has mostly focused on national- or regional-scale implementations, leaving gaps in our understanding of the potential benefits of implementing NPIs at higher granularity. Here, we use Chile as a model to explore the role of human mobility on disease spread within the global south; the country implemented a systematic genomic surveillance program and NPIs at a very high spatial granularity. We combine viral genomic data, anonymised human mobility data from mobile phones and official records of international travellers entering the country to characterise the routes of importation of different variants, the relative contributions of airport and land border importations and the real-time impact of the country’s mobility network on the diffusion of SARS-CoV-2. The introduction of variants which are dominant in neighbouring countries (and not detected through airport genomic surveillance) is predicted by land border crossings and not by air travellers, and the strength of connectivity between comunas (Chile’s lowest administrative divisions) predicts the time of arrival of imported lineages to new locations. A higher stringency of local NPIs was also associated with fewer domestic viral importations. Our analysis sheds light on the drivers of emerging respiratory infectious disease spread outside of air travel, and on the consequences of disrupting regular movement patterns at lower spatial scales.

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Genomic surveillance reveals dynamic shifts in the connectivity of COVID-19 epidemics

Cited by 4 publications

References 85 publications

Uncovering the Research Hotspots in Supply Chain Risk Management from 2004 to 2023: A Bibliometric Analysis

Uncovering the Research Hotspots in Supply Chain Risk Management from 2004 to 2023: A Bibliometric Analysis

High-resolution epidemiological landscape from ~290,000 SARS-CoV-2 genomes from Denmark

Routes of importation and spatial dynamics of SARS-CoV-2 variants during localized interventions in Chile

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