Epidemic Spread on Weighted Networks
- Publication Date
- December 12, 2013
- Journal
- PLOS Computational Biology
- Authors
- Christel Kamp, Mathieu Moslonka Lefebvre & Samuel Alizon
- Volume
- 9
- Issue
- 12
- Pages
- e1003352
- DOI
- https://dx.plos.org/10.1371/journal.pcbi.1003352
- Publisher URL
- http://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1003352
- PubMed
- http://www.ncbi.nlm.nih.gov/pubmed/24348225
- PubMed Central
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3861041
- Europe PMC
- http://europepmc.org/abstract/MED/24348225
- Web of Science
- 000329364800012
- Scopus
- 84892724043
- Mendeley
- http://www.mendeley.com/research/epidemic-spread-weighted-networks-1
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Mendeley | Further Information
{"title"=>"Epidemic Spread on Weighted Networks", "type"=>"journal", "authors"=>[{"first_name"=>"Christel", "last_name"=>"Kamp", "scopus_author_id"=>"6603747181"}, {"first_name"=>"Mathieu", "last_name"=>"Moslonka-Lefebvre", "scopus_author_id"=>"27967892600"}, {"first_name"=>"Samuel", "last_name"=>"Alizon", "scopus_author_id"=>"16027863300"}], "year"=>2013, "source"=>"PLoS Computational Biology", "identifiers"=>{"issn"=>"1553734X", "scopus"=>"2-s2.0-84892724043", "pui"=>"372170430", "doi"=>"10.1371/journal.pcbi.1003352", "isbn"=>"1553-734X", "sgr"=>"84892724043", "pmid"=>"24348225"}, "id"=>"77c7944a-c34a-33da-9d64-606e2ec87752", "abstract"=>"The contact structure between hosts shapes disease spread. Most network-based models used in epidemiology tend to ignore heterogeneity in the weighting of contacts between two individuals. However, this assumption is known to be at odds with the data for many networks (e.g. sexual contact networks) and to have a critical influence on epidemics' behavior. One of the reasons why models usually ignore heterogeneity in transmission is that we currently lack tools to analyze weighted networks, such that most studies rely on numerical simulations. Here, we present a novel framework to estimate key epidemiological variables, such as the rate of early epidemic expansion (r0) and the basic reproductive ratio (R0), from joint probability distributions of number of partners (contacts) and number of interaction events through which contacts are weighted. These distributions are much easier to infer than the exact shape of the network, which makes the approach widely applicable. The framework also allows for a derivation of the full time course of epidemic prevalence and contact behaviour, which we validate with numerical simulations on networks. Overall, incorporating more realistic contact networks into epidemiological models can improve our understanding of the emergence and spread of infectious diseases.", "link"=>"http://www.mendeley.com/research/epidemic-spread-weighted-networks-1", "reader_count"=>71, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Researcher"=>19, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>19, "Student > Postgraduate"=>3, "Student > Master"=>10, "Other"=>1, "Student > Bachelor"=>7, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>3, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>4, "Researcher"=>19, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>19, "Student > Postgraduate"=>3, "Student > Master"=>10, "Other"=>1, "Student > Bachelor"=>7, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>3, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Agricultural and Biological Sciences"=>14, "Veterinary Science and Veterinary Medicine"=>1, "Business, Management and Accounting"=>1, "Chemistry"=>1, "Computer Science"=>8, "Economics, Econometrics and Finance"=>3, "Engineering"=>7, "Environmental Science"=>3, "Materials Science"=>1, "Mathematics"=>12, "Medicine and Dentistry"=>4, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Physics and Astronomy"=>4, "Social Sciences"=>3, "Immunology and Microbiology"=>2}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Social Sciences"=>{"Social Sciences"=>3}, "Physics and Astronomy"=>{"Physics and Astronomy"=>4}, "Mathematics"=>{"Mathematics"=>12}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>3}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Engineering"=>{"Engineering"=>7}, "Chemistry"=>{"Chemistry"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>3}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>14}, "Computer Science"=>{"Computer Science"=>8}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Sweden"=>1, "Iran"=>1, "United States"=>5, "Brazil"=>1, "United Kingdom"=>3, "France"=>1, "Switzerland"=>1, "Portugal"=>1}, "group_count"=>3}CrossRef
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Scopus | Further Information
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Relative Metric
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