Asymmetric percolation drives a double transition in sexual contact networks

Proceedings of the National Academy of Sciences of the United States of America

Volumn 114, Issue 34, 2017, Pages 8969-8973

  Allard, Antoine ^a   Althouse, Benjamin M ^b,c,d   Scarpino, Samuel V ^e   Hébert Dufresne, Laurent ^b,e,f  

^a CENTRE DE RECERCA MATEMÀTICA   (Spain)

^b INSTITUTE FOR DISEASE MODELING   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

^d NEW MEXICO STATE UNIVERSITY   (United States)

^e University of Vermont ^*  (United States)

^f SANTA FE INSTITUTE   (United States)

Author keywords

Complex networks; Mathematical epidemiology; Percolation; Phase transition; Zika virus

Indexed keywords

ARTICLE; ASYMMET PERCOLATION; DISEASE SURVEILLANCE; EPIDEMIC; HEALTH CARE POLICY; INFECTION CONTROL; MATHEMATICAL MODEL; PRACTICE GUIDELINE; PRIORITY JOURNAL; SEXUAL TRANSMISSION; VIRUS TRANSMISSION; ZIKA VIRUS; ALGORITHM; ANIMAL; COMPUTER SIMULATION; FEMALE; HUMAN; KINETICS; MALE; MOSQUITO; MOSQUITO VECTOR; PHYSIOLOGY; SEXUALLY TRANSMITTED DISEASE; THEORETICAL MODEL; TRANSMISSION; VIROLOGY; ZIKA FEVER;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; CULICIDAE; EPIDEMICS; FEMALE; HUMANS; KINETICS; MALE; MODELS, THEORETICAL; MOSQUITO VECTORS; SEXUALLY TRANSMITTED DISEASES; ZIKA VIRUS; ZIKA VIRUS INFECTION;

EID: 85027870563     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1703073114     Document Type: Article

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