Table 1.
Definitions of the terms.
Fig 1.
Flow of study participants and prevalence of Plasmodium and helminth infections.
Table 2.
Demographic characteristics and intervention coverage of study participants by age group.
Fig 2.
Age prevalence profile for infection (Plasmodium and helminth monoinfections and co-infections) within each age group.
Fig 3.
A–D Age prevalence profile of co-infection as predicted from a logistic regression model (Predicted Vs Observed prevalence).
Fig 3A shows Plasmodium and helminth co-infection; 3B Plasmodium and E. vermicularis co-infection; 3C Plasmodium and hookworm co-infection; 3D Plasmodium and S. stercoralis co-infection
Table 3.
Prevalence of Plasmodium and helminth infections of study participants by age group.
Fig 4.
Administrative map of Bagamoyo district, coastal region of Tanzania and the spatial distribution of monoinfection and co-infections within four villages, namely Magomeni, Kiwangwa, Msata and Mkange.
The size of the pie is proportional to the sample size contributed by each village/hamlet.
Fig 5.
Spatial distribution of monoinfection and co-infection status among hamlets of the four villages within Bagamoyo, coastal region of Tanzania.
The size of the pie is proportional to the sample size contributed by each village/hamlet. 1 = Kiwangwa kiwangwa 2 = Kiwangwa Mwavi 3 = Kiwangwa Bago 4 = Kiwangwa Kibaoni 5 = Kiwangwa Kwambwela 6 = Kiwangwa Pipani 7 = Kiwangwa Masuguru 8 = Kiwangwa Mwetemo 9 = Kiwangwa Msinune 10 = Msata Kihangaiko 11 = Msata Msata 12 = Mkange Matipwili 13 = Magomeni (Makurunge—Kitame).
Table 4.
Variables associated with Plasmodium, STH and Plasmodium + STH co-infection using bivariate analysis.
Table 5.
Association between Plasmodium and STH infection by multivariate analysis (Negative binomial regression).
Table 6.
Association between Plasmodium and STH infection by Mantel-Haenszel analysis using age group as justification.