title: Association of weather and anthropogenic factors for transmission of Japanese encephalitis in an endemic area of India.
abstract: Weather and anthropogenic factors are important determinants for Japanese encephalitis (JE) transmission. During 2008-2010, an increasing trend of JE was observed in Dibrugarh district of Northeast India. The JE cases were found to be clustered between June to October in each year. Monthly minimum temperature and rainfall were significantly associated with JE transmission at 1 and 2 months lagged. However, the relationship was more prominent at a lag of 1 month than that of two. Regression analysis suggested that rainfall, minimum and maximum temperature, and relative humidity at 6:00 h are significant predictors (P < 0.05) of quarterly occurrence of JE cases. Additional anthropogenic risk factors including the conditions such as pig sty/cattle shed around and lower part of the houses and proximity of rice field to the dwelling houses (P < 0.05) were also found to be predictors for JE occurrence. Meteorological and anthropogenic risk factors can be used to forecast JE outbreaks in Assam which in turn can help the local health authorities to protect communities in JE prone areas.
authors.affiliation: Regional Medical Research Centre, ICMR, Northeast Region, Post Box 105, Dibrugarh, 786001, Assam, India.
authors.forename: Jani
authors.initials: J
authors.lastname: Borah
authors.forename: Prafulla
authors.initials: P
authors.lastname: Dutta
authors.forename: Siraj A
authors.initials: SA
authors.lastname: Khan
authors.forename: Jagadish
authors.initials: J
authors.lastname: Mahanta
mesh_terms: D000383:Agriculture; D000818:Animals; D001717:Birds / Q000821:virology; D009033:Culicidae / Q000821:virology*; D004197:Disease Reservoirs / Q000821:virology*; D004672:Encephalitis, Japanese / Q000453:epidemiology / Q000635:transmission*; D019353:Endemic Diseases; D004777:Environment; D006801:Humans; D006813:Humidity; D007194:India / Q000453:epidemiology; D007303:Insect Vectors / Q000821:virology*; D011891:Rain; D012044:Regression Analysis; D013552:Swine / Q000821:virology; D013696:Temperature; D014887:Weather