The spread of COVID-19 caused by the SARS-CoV-2 virus has become a worldwide problem with devastating consequences. Here, we implement a comprehensive contact tracing and network analysis to find an optimized quarantine protocol to dismantle the chain of transmission of coronavirus with minimal disruptions to society. We track billions of anonymized GPS human mobility datapoints to monitor the evolution of the contact network of disease transmission before and after mass quarantines. As a consequence of the lockdowns, people's mobility decreases by 53%, which results in a drastic disintegration of the transmission network by 90%. However, this disintegration did not halt the spreading of the disease. Our analysis indicates that superspreading k-core structures persist in the transmission network to prolong the pandemic. Once the k-cores are identified, an optimized strategy to break the chain of transmission is to quarantine a minimal number of 'weak links' with high betweenness centrality connecting the large k-cores.
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http://dx.doi.org/10.1371/journal.pcbi.1009865 | DOI Listing |
Diseases
December 2024
Rwanda Biomedical Center (RBC), Kigali 7162, Rwanda.
Objectives: Marburg virus disease (MVD) is on the WHO list for pandemic-prone pathogens. The current outbreak in Rwanda provides an opportunity to map outbreaks and generate information to inform policymaking, resource mobilization, and guide the implementation of cost-effective response strategies.
Methods: We synthesized available information about MVD to build holistic, up-to-date evidence to inform policymakers, public health leaders, and healthcare and public health services providers in their development and implementation of cost-effective preparedness, prevention, and control measures.
Front Public Health
December 2024
Stansile Research Organization, Kigali, Rwanda.
Background: Rift Valley Fever (RVF) is a mosquito-borne zoonotic disease that poses a serious threat to both humans and livestock across various regions, particularly in Africa, the Arabian Peninsula, and parts of the Indian Ocean Islands. This study seeks to analyze the spatial and temporal distribution and trends of RVF outbreaks within the East African Community (EAC) countries, offering insights into the patterns and progression of these outbreaks in the region.
Methods: We conducted a retrospective analysis of the Program for Monitoring Emerging Diseases (ProMed), a digital, event-based disease surveillance system, to identify reports of outbreak events in Uganda, Kenya, Rwanda, Burundi, Tanzania, and South Sudan from 2010 to 2024.
Few sources have reported empirical social contact data from resource-poor settings. To address this shortfall, we recruited 1,363 participants from rural and urban areas of Mozambique during the COVID-19 pandemic, determining age, sex, and relation to the contact for each person. Participants reported a mean of 8.
View Article and Find Full Text PDFWe collected social contact data in Greece to measure contact patterns before (January 2020) and during the COVID-19 pandemic (March 2020-October 2021) and assess the effects of social distancing over time. During lockdowns, mean daily contacts decreased to 2.8-5.
View Article and Find Full Text PDFVirol J
December 2024
Department of Molecular and Translational Medicine, Section of Microbiology, University of Brescia, Piazzale Spedali Civili, 1, Brescia, 25123, Italy.
Background: Since the beginning of the pandemic, contact tracing has been one of the most relevant issues to understand SARS-CoV-2 transmission dynamics and, in this context, the analysis of quasispecies may turn out to be a useful tool for outbreak investigations. Analysis of the intra-host single nucleotide variants (iSNVs) found in the nsp2, ORF3, and ORF7 genes of SARS-CoV-2 was conducted in order to correctly identify virus transmission chain among patients hospitalized in Brescia Civic Hospital.
Methods: During the period between August and October 2023, 13 nasopharyngeal specimens, collected from patients admitted to Brescia Civic Hospital, were tested for SARS-CoV-2 positivity and molecularly characterized.
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