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Table 5 Summary of statistical models

From: Assessment of malaria risk in Southeast Asia: a systematic review

Statistical model

Number of studies

References

Generalized linear model (GLM)

17

 

 Multiple linear regression

1

[24]

 Generalized linear regression model

3

[21, 26, 33]

 Generalized linear mixture model

2

[15, 17]

 General linearized mixed models with a negative binomial distribution

1

[19]

 Geographically weighted regression (GWR)

2

[18, 23]

 Negative binomial regression

1

[29]

 Zero-inflated Poisson (ZIP) regression

1

[22]

 Poisson regression

1

[20]

 Logistic regression

3

[11, 13, 27]

 Hierarchical logistic regression models

1

[9]

 Matched univariate and multivariate logistic regression analyses

1

[25]

Other techniques

8

 

 Regression tree model (CART)

1

[28]

 Pearson's correlation

1

[12]

 Multi-criteria decision analysis (MCDA)

1

[16]

 Bayesian model

2

[10, 30]

 Descriptive analysis (surveillance of the abundance of mosquitoes and Plasmodium parasites)

3

[14, 31, 32]