2017
DOI: 10.1371/journal.pntd.0005621
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Dengue seroprevalence and force of primary infection in a representative population of urban dwelling Indonesian children

Abstract: BackgroundIndonesia reports the second highest dengue disease burden in the world; these data are from passive surveillance reports and are likely to be significant underestimates. Age-stratified seroprevalence data are relatively unbiased indicators of past exposure and allow understanding of transmission dynamics.Methodology/Principal FindingsTo better understand dengue infection history and associated risk factors in Indonesia, a representative population-based cross-sectional dengue seroprevalence study wa… Show more

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Cited by 65 publications
(70 citation statements)
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“…find that the force of infection estimate obtained with model 1 variant PS fitted to average annual case notification data reported between 2008 and 2017 in Jakarta province (0.130 (95%CrI: 0.129-0.131)) is similar to the estimate obtained from seroprevalence data collected in 2014 in 30 urban subdistricts of Indonesia (0.14 (95%CI: 0.133-0.147))(5,25).We observed significant spatiotemporal heterogeneity in force of infection within Jakarta province, with long-term spatial clustering of both high and low transmission intensity subdistricts. Our analysis identified a hot-spot of dengue transmission in the southeast of Jakarta province and clustering of low transmission intensity in the region of Central Jakarta.Subdistrict population density was found to have a weak association with dengue transmission intensity, explaining approximately 5% of the variation in subdistrict force of infection estimates during the period of 2008-2017, with higher average annual force of infection associated with greater population densities (for details see SI sections 3.5 and Figure S8).…”
supporting
confidence: 71%
“…find that the force of infection estimate obtained with model 1 variant PS fitted to average annual case notification data reported between 2008 and 2017 in Jakarta province (0.130 (95%CrI: 0.129-0.131)) is similar to the estimate obtained from seroprevalence data collected in 2014 in 30 urban subdistricts of Indonesia (0.14 (95%CI: 0.133-0.147))(5,25).We observed significant spatiotemporal heterogeneity in force of infection within Jakarta province, with long-term spatial clustering of both high and low transmission intensity subdistricts. Our analysis identified a hot-spot of dengue transmission in the southeast of Jakarta province and clustering of low transmission intensity in the region of Central Jakarta.Subdistrict population density was found to have a weak association with dengue transmission intensity, explaining approximately 5% of the variation in subdistrict force of infection estimates during the period of 2008-2017, with higher average annual force of infection associated with greater population densities (for details see SI sections 3.5 and Figure S8).…”
supporting
confidence: 71%
“…Figure 11). The values for primary infections are coherent with other studies in Vietnam or Indonesia who analyzed seroprevalence data or seroconversion data [40, 55, 56, 57, 52]. The incidence proportion is highly variable from one year to the next, especially in models with two strains.…”
Section: Resultssupporting
confidence: 85%
“…These values are in the range of the measures of seroprevalence in several Asian countries [51]. As the measures reveal large differences between countries [51, 40, 52, 53], a seroprevalence survey in Cambodia would be particularly useful to evaluate which scenario is more plausible.…”
Section: Resultsmentioning
confidence: 99%
“…Currently, Indonesia reports the highest average number of annual dengue cases in Asia, with frequent epidemic cycles . In 2014, the adjusted national seroprevalence of dengue was 69.4%, ranging from 33.8% in the 1 to 4 years age group to 89.0% in the 15 to 18 years age group .…”
Section: Introductionmentioning
confidence: 99%