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Figure 1.

Prevalence of single or co-infections (two parasites) in the study area.

The figure shows prevalence of infections at the village level and for all 6 villages together. Values and color intensity in the matrices represent the prevalence of single and each combination of parasite infections. Underlined numbers indicate infection prevalence significantly higher or lower (p<0.05) than expected by random chance (the product of single parasite infection prevalence). The map in the center shows elevation and location of each village. Infection abbreviation: malaria (Mal), filariasis (Fil), schistosomiasis (Sch), hookworm (Hoo), Trichuris (Tri), and Ascaris (Asc).

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Table 1.

Demographic data and environmental characteristics of each village.

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Table 2.

Entomological collections at the village level.

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Figure 2.

Prevalence of poly-parasitism by village (Je - Jego, Mi - Milalani, Ng - Nganja, Ki - Kinango, Ma - Magodzoni, Vu - Vuga).

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Table 3.

Predictor estimates obtained by GAMs and GAMMs for each single infection and for co-infections.

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Figure 3.

Association of age with single parasite infections and with poly-parasitism.

Malaria (A), Filariasis (B), Schistosomiasis (C), Hookworm (D), Trichuriasis (E), Poly-parasitism (F). Gray areas in the graphs indicate age ranges associated with significantly higher levels of infection. The image include the mean value (solid lines) and 95% CI (dashed lines).

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Figure 4.

Association of age with single parasite infection and with poly-parasitism in Milalani.

Malaria (A), Filariasis (B), Schistosomiasis (C), Hookworm (D), Trichuriasis (E), poly-parasitism (F). Gray areas in the graphs indicate age ranges associated with significantly higher levels of infection.

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Table 4.

Association of abundance and presence of mosquito vectors with malaria and filaria infections in surveyed individuals.

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Table 5.

Predictor estimates obtained by GAMs per each parasite infection in Milalani.

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Figure 5.

Occurrence of clusters of lower SES and of higher household density.

Colored areas indicate significant clusters based on the Gi*(d) test (p<0.05) of clusters of high levels of crowding and of low levels of SES.

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Figure 6.

Occurrence of clusters for each parasite infection.

Colored areas indicate significant hot-spots based on the Gi*(d) test (p<0.05).

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Figure 7.

Occurrence of clusters for poly-parasitism.

Colored areas significant hot-spots based on the Gi*(d) test (p<0.05). The analysis is based on the prevalence of co-infections (any combination) recorded in each household.

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Table 6.

Results from Spearman's correlation test between co-occurrence of poly-parasitism clusters and clusters of low SES or of high population density.

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