Existing and potential infection risk zones of yellow fever worldwide: a modelling analysis

The Lancet Global Health

Volumn 6, Issue 3, 2018, Pages e270-e278

  Shearer, Freya M ^a   Longbottom, Joshua ^a   Browne, Annie J ^a   Pigott, David M ^c   Brady, Oliver J ^d   Kraemer, Moritz U G ^b,e,f   Marinho, Fatima ^g   Yactayo, Sergio ^h   de Araújo, Valdelaine E M ⁱ   da Nóbrega, Aglaêr A ⁱ   Fullman, Nancy ^c   Ray, Sarah E ^c   Mosser, Jonathan F ^c,j   Stanaway, Jeffrey D ^c   Lim, Stephen S ^c   Reiner, Robert C ^c   Moyes, Catherine L ^a   Hay, Simon I ^a,c   Golding, Nick ^k  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITY OF WASHINGTON   (United States)

^d LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^e HARVARD MEDICAL SCHOOL   (United States)

^f BOSTON CHILDREN S HOSPITAL   (United States)

^g STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^h WORLD HEALTH ORGANIZATION   (Switzerland)

ⁱ Secretariat of Health Surveillance of the Ministry of Health of Brazil   (Brazil)

^j SEATTLE CHILDREN S HOSPITAL   (United States)

^k UNIVERSITY OF MELBOURNE   (Australia)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BOOSTED REGRESSION TREE MODEL; CALIBRATION; DISEASE TRANSMISSION; HUMAN; INCIDENCE; INFECTION RISK; MAJOR CLINICAL STUDY; POPULATION DENSITY; PRIORITY JOURNAL; REGRESSION ANALYSIS; VACCINATION COVERAGE; VALIDATION STUDY; YELLOW FEVER; EPIDEMIC; GLOBAL HEALTH; RISK; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

YELLOW FEVER VACCINE;

DISEASE OUTBREAKS; GLOBAL HEALTH; HUMANS; INCIDENCE; MODELS, STATISTICAL; RISK; YELLOW FEVER; YELLOW FEVER VACCINE;

EID: 85041469604     PISSN: None     EISSN: 2214109X     Source Type: Journal    
DOI: 10.1016/S2214-109X(18)30024-X     Document Type: Article

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