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Table 9 Crop-choice determinants of malaria proportion Tobit by age-group

From: Agro-ecology, household economics and malaria in Uganda: empirical correlations between agricultural and health outcomes

Crops as a proportion of total crop-area

All ages

0 to 4

5 to 9

10 to 19

20 to 39

40 to 59

60 plus

 

Coef

  P>|t|

Coef

  P>|t|

Coef

  P>|t|

Coef

  P>|t|

Coef

  P>|t|

Coef

  P>|t|

Coef

  P>|t|

Maize

Omitted for Categorical Comparison

 

Other Crops

+

** 0.0180

 

0.3360

 

0.3800

 

0.4770

+

* 0.0530

 

0.3870

 

0.3030

Bananas

 

0.7690

 

0.6890

 

0.8610

 

0.9850

 

0.2130

 

0.3330

 

0.8810

Coffee

 

0.4460

 

0.1210

 

0.4950

 

0.3510

 

0.6660

 

0.1970

 

0.2080

Beans

 

0.1160

 

0.8440

+

** 0.0160

 

0.5470

 

0.1140

 

0.3470

 

0.4360

Cassava

 

0.9390

 

0.2240

 

0.1290

 

0.5110

 

0.8150

 

0.9100

 

0.2140

Groundnuts

 

0.9700

 

0.8470

 

0.8980

 

0.4930

 

0.8520

 

0.5930

 

0.6370

Sweet Potato / Yam

+

** 0.0450

 

0.2310

 

0.4870

+

* 0.0880

 

0.6400

 

0.5010

 

0.5700

Millet

 

0.9360

-

** 0.0150

 

0.2460

 

0.6150

 

0.4160

 

0.4390

 

0.9590

Rice

 

0.9290

 

0.5770

 

0.1410

 

0.4580

 

0.8780

 

0.4550

 

0.1580

Sorghum

 

0.8290

 

0.9050

+

* 0.0720

 

0.9580

 

0.7290

-

** 0.0170

 

0.6790

Tree Crops

 

0.8480

 

0.5970

 

0.4920

+

* 0.0940

 

0.9010

 

0.8580

 

0.1840

Fallow

 

0.4790

 

0.4770

 

0.2480

 

0.5770

 

0.2590

 

0.5590

 

0.3260

Bush

 

0.5970

 

0.4950

 

0.4340

 

0.6010

 

0.7270

 

0.7840

 

0.2660

Pasture

 

0.4910

 

0.7400

 

0.3180

 

0.5510

 

0.9000

 

0.1540

 

0.2080

Parcel Size

 

0.2030

 

0.1920

 

0.4700

 

0.5740

 

0.4370

 

0.4680

 

0.7780

  1. *P < 0.05.
  2. **P < 0.01.
  3. ***P < 0.001.
  4. +A positive correlation between malaria risk and the explanatory variable.
  5. -A negative correlation between malaria risk and the explanatory variable.