Table 1. Smear-positive notification rate as a function of GDP, HIV, and DOTS programme variables, 1995–2005.
All countries | Excluding countries with electronic reporting | ||||
Model 1 | Model 2 | Model 1 | Model 2 | ||
GDP per head, | Coefficient | 0.008 | 0.006 | 0.005 | −0.004 |
USD thousands | SE | 0.008 | 0.013 | 0.008 | 0.010 |
HIV seroprevalence | Coefficient | 0.45 | 1.40 | 0.40 | 2.63 |
(five-year lag) | SE | 0.52 | 0.53 | 1.01 | 1.11 |
DOTS population coverage fraction | Coefficient | 0.05 | - | 0.04 | - |
SE | 0.05 | 0.05 | |||
DOTS treatment success fraction | Coefficient | - | 0.04 | - | 0.02 |
SE | 0.12 | 0.13 | |||
Lag of SSNR | Coefficient | 0.56 | 0.49 | 0.55 | 0.47 |
(one year) | SE | 0.05 | 0.05 | 0.05 | 0.04 |
Constant | Coefficient | 0.69 | 1.14 | 0.82 | 1.23 |
SE | 0.27 | 0.14 | 0.28 | 0.35 | |
Observations (country-years) | 1128 | 887 | 1024 | 792 | |
R2 | 0.95 | 0.96 | 0.95 | 0.95 |
Coefficients significant at the 0.05 level are in bold. All standard errors are clustered by country.
Excluded: Botswana, China, India, Indonesia, Korea, Lesotho, Namibia, Nepal, Philippines, S Africa
(Independent programme variable: Model 1—DOTS population coverage, Model 2—DOTS treatment success rate)