bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/424465

World Influence of Infectious Diseases from Wikipedia Network Analysis

Rollin, G.·Lages, J.·Shepelyansky, D.
View original source ↗Export metadata ↓

Abstract

We consider the network of 5 416 537 articles of English Wikipedia extracted in 2017. Using the recent reduced Google matrix (REGOMAX) method we construct the reduced network of 230 articles (nodes) of infectious diseases and 195 articles of world countries. This method generates the reduced directed network between all 425 nodes taking into account all direct and indirect links with pathways via the huge global network. PageRank and CheiRank algorithms are used to determine the most influential diseases with the top PageRank diseases being Tuberculosis, HIV/AIDS and Malaria. From the reduced Google matrix we determine the sensitivity of world countries to specific diseases integrating their influence over all their history including the times of ancient Egyptian mummies. The obtained results are compared with the World Health Organization (WHO) data demonstrating that the Wikipedia network analysis provides reliable results with up to about 80 percent overlap between WHO and REGOMAX analyses.

Source connections

Explore related subjects

microbiologyPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Rollin, G., Lages, J., Shepelyansky, D.. 2018-09-24. World Influence of Infectious Diseases from Wikipedia Network Analysis. https://doi.org/10.1101/424465

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Tandem repeats in methanogenic archaea and their viruses reveal a shared potential for rapid genomic diversification

Methanogenic archaea drive global methane emissions, yet the molecular basis of their physiological flexibility is unclear. Archaeal adaptation is typically attributed to horizontal gene transfer, which is episodic and cannot explain rapid, reversible change. Here we show that direct tandem repeats (TRs) offer an intrinsic alternative. By screening 50,567 prokaryotic genomes, we find TR densities in Methanosarcina more than 30-fold above the prokaryotic average, paralleling Borg extrachromosomal elements. These TRs recur at conserved loci while sharing almost no sequence identity between strains, indicating independent origin, and evolve during routine cultivation. Methanogen TRs are transcribed, show ribosome occupancy, and lie near regulatory and cofactor-related genes, whilst being depleted around core energy-conserving and translational machinery. Genic TRs generate intrinsically disordered regions in proteins carrying nucleotide-binding, protein-protein interaction and cell-surface domains, and occur in structural and surface proteins of methanogen-infecting viruses. TRs are therefore an overlooked source of variability and adaptation potential in methanogens and their viruses.

microbiology↗
bioRxiv2026

DarHTG is a tripartite phage defence system for purine DNA base ADP-ribosylation

Bacteria evolved a variety of phage defence strategies to combat the constant onslaught of viral threats. DarTG toxin-antitoxin systems provide phage defence by ADP-ribosylation of bases in single-stranded DNA which interferes with viral replication and aborts phage infection. Here, we describe DarHTG, a system widespread among bacteria, that combines DarTG with a non-processive superfamily I helicase functioning as co-toxin for DarT and thereby enabling the ADP-ribosylation of double-stranded DNA. We identified two such DarHTG subclasses which catalyse the ADP-ribosylation of adenosine and guanosine bases, respectively, and reverse these modifications with structurally unique ARH superfamily antitoxins. Thus, DarHTG antitoxins expand the known macromolecular target spectrum of the ARH enzyme class to nucleic acids. These DarHTG systems confer resistance to a broad range of bacteriophages and can be triggered by the highly charged tails of viral single-stranded DNA-binding proteins, which occlude the active site of the ARH antitoxin.

microbiology↗
bioRxiv2026

Draft genome of Paraperlucidibaca sp. CMO1 isolated from marine oil snow in the Churchill Marine Observatory, MB, Canada

An oil-degrading enrichment culture was inoculated from Marine Oil Snow (MOS) collected during an oil-spill experiment at the Churchill Marine Observatory in winter 2024. The complete metagenome-assembled genome for Paraperlucidibaca sp. CMO1 was reconstructed, exhibiting the genetic potential to degrade hydrocarbons, including alkanes and aromatic compounds, as well as the ability to produce surfactants.

microbiology↗