Assessing seroprevalence and associated risk factors for multiple infectious diseases in Sabah, Malaysia using serological multiplex bead assays

Seroprevalence Lymphatic Filariasis Toxoplasmosis
DOI: 10.3389/fpubh.2022.924316 Publication Date: 2022-10-25T07:51:32Z
ABSTRACT
Background Infectious diseases continue to burden populations in Malaysia, especially among rural communities where resources are limited and access health care is difficult. Current epidemiological trends of several neglected tropical these at present absent due the lack habitual efficient surveillance. To date, various studies have explored utility serological multiplex beads monitor numerous simultaneously. We therefore applied this platform assess population level exposure six infectious Sabah, Malaysia. Furthermore, we concurrently investigated demographic spatial risk factors that may be associated with for each disease. Methods This study was conducted four districts Northern Sabah Malaysian Borneo, using an environmentally stratified, population-based cross-sectional survey targeted determine malaria. Samples were collected between September December 2015, from 919 villages totaling 10,100 persons. IgG responses twelve antigens (lymphatic filariasis- Bm33, Bm14, BmR1, Wb123; strongyloides- NIE; toxoplasmosis-SAG2A; yaws- Rp17 TmpA; trachoma- Pgp3, Ct694; giardiasis- VSP3, VSP5) measured bead assays. Eight environmental covariates included better understand transmission community. Results Seroprevalence LF Bm33 (10.9%), Bm14+ BmR1 (3.5%), Wb123 (1.7%). Strongyloides antigen NIE 16.8%, Toxoplasma SAG2A 29.9%, Giardia GVSP3 + GVSP5 23.2%. estimates yaws 4.91%, TmpA 4.81%, combined seropositivity both 1.2%. trachoma Pgp3 Ct694 4.5%. Age a significant consistent all assessed, while other varied different antigens. Spatial heterogeneity seroprevalence observed more prominently lymphatic filariasis toxoplasmosis. Conclusions Multiplex assays can used pathogens simultaneously support disease surveillance communities, prevalences lacking diseases. Demographic data alongside serosurveys prove useful identifying geographic distribution transmission.
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