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. 2008 Mar 5;3(3):e1721. doi: 10.1371/journal.pone.0001721

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 1DOTS population coverage, Model 2—DOTS treatment success rate)