Time series regression model for infectious disease and weather

Environmental Research

Volumn 142, Issue , 2015, Pages 319-327

  Imai, Chisato ^a   Armstrong, Ben ^b   Chalabi, Zaid ^b   Mangtani, Punam ^b   Hashizume, Masahiro ^a  

^a NAGASAKI UNIVERSITY   (Japan)

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

Author keywords

Climate; Infectious disease; Method; Time series; Weather

Indexed keywords

RAIN;

ATMOSPHERIC POLLUTION; CHOLERA; CLIMATE CHANGE; DATA SET; DISEASE CONTROL; INFECTIOUS DISEASE; INFLUENZA; MORBIDITY; MORTALITY; NUMERICAL MODEL; POPULATION STRUCTURE; PUBLIC HEALTH; TIME SERIES ANALYSIS;

ARTICLE; AUTOREGRESSIVE INTEGRATED MOVING AVERAGE; BANGLADESH; BINOMIAL DISTRIBUTION; CHOLERA; CLIMATE CHANGE; DISEASE ASSOCIATION; EPIDEMIOLOGICAL DATA; HUMAN; IMMUNITY; INFECTION; INFLUENZA; JAPAN; MATHEMATICAL MODEL; NONLINEAR SYSTEM; POISSON DISTRIBUTION; PRIORITY JOURNAL; SEASONAL VARIATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; SUSCEPTIBLE POPULATION; TIME SERIES REGRESSION; TREND STUDY; WAVELET ANALYSIS; WEATHER; COMMUNICABLE DISEASE; DISEASE PREDISPOSITION; REGRESSION ANALYSIS; SEASON; THEORETICAL MODEL; TRANSMISSION;

BANGLADESH; HONSHU; JAPAN; KANTO; TOKYO [KANTO];

COMMUNICABLE DISEASES; DISEASE SUSCEPTIBILITY; HUMANS; MODELS, THEORETICAL; REGRESSION ANALYSIS; SEASONS; WEATHER;

EID: 84937132370     PISSN: 00139351     EISSN: 10960953     Source Type: Journal    
DOI: 10.1016/j.envres.2015.06.040     Document Type: Article

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