A systematic review of methodology: time series regression analysis for environmental factors and infectious diseases.
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Challenges in developing methods for quantifying the effects of weather and climate on water-associated diseases: A systematic reviewTime series analysis of temporal trends in the pertussis incidence in Mainland China from 2005 to 2016.A Spatial Hierarchical Analysis of the Temporal Influences of the El Niño-Southern Oscillation and Weather on Dengue in Kalutara District, Sri Lanka.Bayesian dynamic modeling of time series of dengue disease case counts.Identifying climate drivers of infectious disease dynamics: recent advances and challenges ahead.The non-linear and lagged short-term relationship between rainfall and leptospirosis and the intermediate role of floods in the Philippines.Using the Baidu Search Index to Predict the Incidence of HIV/AIDS in China.Sensitivity of vegetation to climate variability and its implications for malaria risk in Baringo, Kenya
P2860
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P2860
A systematic review of methodology: time series regression analysis for environmental factors and infectious diseases.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
A systematic review of methodo ...... ctors and infectious diseases.
@en
type
label
A systematic review of methodo ...... ctors and infectious diseases.
@en
prefLabel
A systematic review of methodo ...... ctors and infectious diseases.
@en
P2860
P356
P1476
A systematic review of methodo ...... ctors and infectious diseases.
@en
P2860
P2888
P356
10.2149/TMH.2014-21
P577
2014-10-16T00:00:00Z
P5875
P6179
1038939154