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. 2025 Jul 8;24:219. doi: 10.1186/s12936-025-05468-6

Table 4.

Results of the generalized linear models (GLMs) analysing the influence of geography, test type, year and annual parasite incidence (API) on the positivity rate of malaria diagnostics in the Solomon Islands during the years 2017–2019 for Plasmodium falciparum and Plasmodium vivax

Explanatory factors P. falciparum P. vivax
χ2(a) dfb P valuec χ2(a) dfb P valuec
National level model
 Test 1665 1  < 2e-16* 1036.1 1  < 2e-16*
 Year 621.2 1  < 2e-16* 3709.8 1  < 2e-16*
 API 13184 1  < 2e-16* 12309.4 1  < 2e-16*
Province level model
 Province 15278.7 8  < 2e-16* 25686 8  < 2e-16*
 Test 1534.6 1  < 2e-16* 956.5 1  < 2e-16*
 Year 766.3 1  < 2e-16* 3976.1 1  < 2e-16*
 API 2179.4 1  < 2e-16* 1190.1 1  < 2e-16*
Health zone level model
 Health zone 27439.7 43  < 2e-16* 44317 43  < 2e-16*
 Test 211.3 1  < 2e-16* 0 1 0.4857
 Year 162 1  < 2e-16* 4941 1  < 2e-16*
 API 4474.9 1  < 2e-16* 2077 1  < 2e-16*

aχ2, Chi-square values that measure the difference between observed and expected value

bdf, degrees of freedom

c*P < 0.05, indicates significant influence on the choice of diagnostic test type