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Table 1 Risk factors used in different researches for dengue outbreak prediction models from 2005 to 2018

From: Identification of significant climatic risk factors and machine learning models in dengue outbreak prediction

References

Technique

Year

Geographical data used

Temperature

Humidity

Rainfall

Mean

Min

Avg

Max

Relative (mean)

Cumulative rainfall

Total rainfall

Max 24-h rainfall

Max 1-H rainfall

Bi-weekly

[32]

Wavelet coherence analysis/quasi-Poisson regression combined with distributed lag nonlinear model (DLNM)

2018

Philippines

 

*

  

*

     

[33]

Generalized linear model

2018

Bangladesh

 

*

 

*

 

*

    

[34]

Negative binomial regression (NBR)/generalized estimating equation (GEE)

2017

Vietnam

 

*

   

*

    

[35]

Artificial neural network (ANN)

2016

Philippine

 

*

 

*

 

*

    

[36]

Distributed lag non-linear models (DLNM)/generalised estimating equation models (GEE)

2016

China

*

 

*

*

     

*

[37]

Spearman rank correlation/distributed lag non-linear model (DLNM)

2014

Singapore

*

*

*

*

 

*

   

*

[38]

Distributed lag nonlinear model (DLNM) and Markov random fields

2014

Taiwan

*

*

*

  

*

*

*

*

 

[39]

Generalized additive model (GAM)

2014

Europe

*

 

*

*

 

*

    

[40]

Generalized additive model (GAM)

2013

Mexico

*

 

*

  

*

    

[41]

Poisson generalized additive model/distributed non-linear lag model (DLMN)

2013

Malaysia,

*

*

*

*

    

*

*

[22]

Poisson multivariate regression models

2013

Singapore

 

*

  

*

     

[42]

Autoregressive integrated moving average (ARIMA)

2013

Malaysia

 

*

 

*

 

*

    

[43]

Poisson multivariate regression

2012

Singapore

 

*

  

*

     

[44]

Spearman's rank correlation coefficient (SRCC)

2012

Singapore

*

  

*

 

*

    

[3]

Vector–host transmission model

2012

Taiwan

*

 

*

*

 

*

    

[14]

Neural network and genetic algorithm

2012

Malaysia

     

*

    

[45]

Generalised linear model (GLM)/Bayesian framework using Markov chain Monte Carlo (MCMC)

2011

Brazil

 

*

 

*

 

*

    

[16]

Artificial neural networks (ANN)

2010

Singapore

 

*

 

*

 

*

    

[46]

Multiple regression and discriminant analysis techniques/Peirce skill score

2010

Indonesia

*

*

*

*

 

*

    

[47]

Artificial neural networks (ANN)

2009

Turkey

 

*

 

*

 

*

    

[48]

Entropy and artificial neural network

2008

Thailand

*

*

*

*

 

*

    

[49]

Kolmogorov-Sminov test/Pearson’s correlation coefficient/stepwise regression techniques

2005

Thailand

*

*

*

*

 

*

    
 

Total

11

16

10

15

3

17

1

1

2

3

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