Volume 89, Issue 5
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645



The purpose of this study was to quantify the relationship between climate variation and transmission of hemorrhagic fever with renal syndrome (HFRS) in Heilongjiang Province, a highly endemic area for HFRS in China. Monthly notified HFRS cases and climatic data for 2001–2009 in Heilongjiang Province were collected. Using a seasonal autoregressive integrated moving average model, we found that relative humidity with a one-month lag (β = −0.010, = 0.003) and a three-month lag (β = 0.008, = 0.003), maximum temperature with a two-month lag (β = 0.082, = 0.028), and southern oscillation index with a two-month lag (β = −0.048, = 0.019) were significantly associated with HFRS transmission. Our study also showed that predicted values expected under the seasonal autoregressive integrated moving average model were highly consistent with observed values (Adjusted = 83%, root mean squared error = 108). Thus, findings may help add to the knowledge gap of the role of climate factors in HFRS transmission in China and also assist national local health authorities in the development/refinement of a better strategy to prevent HFRS transmission.


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  • Received : 02 Aug 2012
  • Accepted : 12 Jul 2013

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