本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2023-09-27
摘要
Identifying 氣候 drivers is essential to understand and predict 流行病學cs of mosquito-borne infections whose 族群 dynamics typically exhibit seasonality and multiannual cycles. Which 氣候 covariates to consider varies across studies, from local factors such as temperature to remote drivers such as the El Nino-Southern Oscillation. With partial wavelet coherence, we present a systematic investigation of nonstationary associations between mosquito-borne 疾病 incidence and a given 氣候 factor while controlling for another. Analysis of almost 200 time series of dengue and malaria around the globe at different geographical scales shows a systematic effect of global 氣候 drivers on interannual variability and of local ones on seasonality. This clear separation of time scales of action enhances detection of 氣候
※ 此為已發表論文，全文需透過期刊付費取得