Forecasting Chikungunya spread in the Americas via data-driven empirical approaches

Parasites and Vectors

Volumn 9, Issue 1, 2016, Pages

  Escobar, Luis E ^a,b,c   Qiao, Huijie ^d   Peterson, A Townsend ^e  

^a UNIVERSITY OF MINNESOTA   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

^c SUNY UPSTATE MEDICAL UNIVERSITY   (United States)

^d INSTITUTE OF ZOOLOGY   (China)

^e UNIVERSITY OF KANSAS   (United States)

Author keywords

Disease model; Epidemic; Passenger flow; Transmission; Vector borne

Indexed keywords

ARTICLE; CHIKUNGUNYA; DISEASE SURVEILLANCE; FORECASTING; GEOGRAPHIC DISTRIBUTION; HEALTH ECONOMICS; HUMAN; INFECTION RATE; MAJOR CLINICAL STUDY; SOCIAL ASPECT; VIRUS TRANSMISSION; CHIKUNGUNYA FEVER; PREVALENCE; SOCIOECONOMICS; STATISTICAL MODEL; TRANSMISSION; WESTERN HEMISPHERE;

AMERICAS; CHIKUNGUNYA FEVER; EPIDEMIOLOGIC METHODS; FORECASTING; HUMANS; MODELS, STATISTICAL; PREVALENCE; SOCIOECONOMIC FACTORS;

EID: 84962750209     PISSN: None     EISSN: 17563305     Source Type: Journal    
DOI: 10.1186/s13071-016-1403-y     Document Type: Article

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