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Table 8 Signs of agricultural determinants of malaria proportion Tobit by age-group

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

Agricultural variables

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|

Total Precipitation (past 90 days)

 

0.9280

 

0.9820

 

0.2200

 

0.9310

 

0.5070

 

0.2360

 

0.2230

Average Maximum Temperature (past 90 days)

-

*** 0.0000

-

* 0.0840

-

*** 0.0000

-

** 0.0190

-

*** 0.0080

 

0.4150

 

0.7530

Average Minimum Temperature (past 90 days)

 

0.4270

 

0.2320

+

*** 0.0010

 

0.8750

 

0.3160

 

0.4610

 

0.2350

Minutes Waiting at Water source

 

0.3270

 

0.5190

 

0.2790

 

0.9460

 

0.5130

 

0.3940

 

0.6460

Distance to Water source from homestead

 

0.3320

 

0.3120

 

0.5550

 

0.2260

 

0.1960

 

0.4250

 

0.2750

Livestock (Number of Chickens)

 

0.4230

 

0.8790

 

0.3710

 

0.6380

 

0.5380

 

0.5550

 

0.9660

Livestock (Number of Cattle)

 

0.1870

 

0.6800

 

0.4310

 

0.7330

 

0.7900

 

0.3650

 

0.6470

Livestock (Number of Pigs)

 

0.8710

 

0.9780

 

0.5510

 

0.6030

 

0.5200

 

0.1010

 

0.4760

Agricultural Extension Visit in the past 12 months

 

0.5720

 

0.1670

 

0.6430

 

0.2190

-

* 0.0540

 

0.5540

+

* 0.0690

Crop Protection Information

 

0.1110

 

0.2430

 

0.3240

 

0.7240

 

0.8170

 

0.3950

 

0.8190

Disease Control Information

 

0.5580

 

0.7710

 

0.8580

 

0.2610

 

0.8400

 

0.1130

 

0.8890

Pesticide Application Area

 

0.4820

 

0.1430

 

0.7100

 

0.7870

 

0.1450

 

0.5110

 

0.2980

  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.