Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data

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

Volumn 112, Issue 35, 2015, Pages 11114-11119

  Wesolowski, Amy ^a,b   Metcalf, C J E ^c,d,e   Eagle, Nathan ^a,f   Kombich, Janeth ^g   Grenfell, Bryan T ^c,d   Bjørnstad, Ottar N ^h   Lessler, Justin ⁱ   Tatem, Andrew J ^b,e,j   Buckee, Caroline O ^a,b  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b FLOWMINDER FOUNDATION   (Sweden)

^c PRINCETON UNIVERSITY   (United States)

^d PRINCETON UNIVERSITY   (United States)

^e NATIONAL INSTITUTES OF HEALTH   (United States)

^f NORTHEASTERN UNIVERSITY   (United States)

^g UNIVERSITY OF KABIANGA   (Kenya)

^h PENNSYLVANIA STATE UNIVERSITY   (United States)

ⁱ JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^j UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

more..

Author keywords

Kenya; Mobile phones; Population mobility; Rubella; Seasonality

Indexed keywords

RAIN;

ADOLESCENT; ADULT; ARTICLE; CANADA; FEMALE; HUMAN; INCIDENCE; JAPAN; KENYA; MAJOR CLINICAL STUDY; MALE; MEXICO; MOBILE PHONE; PERU; POPULATION DENSITY; PRIORITY JOURNAL; RUBELLA; SEASONAL POPULATION DYNAMICS; SEASONAL VARIATION; SOUTH AFRICA; VIRUS TRANSMISSION; SEASON; STATISTICAL ANALYSIS; TRANSMISSION;

CELL PHONES; DATA INTERPRETATION, STATISTICAL; HUMANS; RUBELLA; SEASONS;

EID: 84940986590     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1423542112     Document Type: Article

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