Maternally-derived antibody titer dynamics and risk of hospitalised infant dengue disease
O'Driscoll, M.; Buddhari, D.; Huang, A.; Waikman, A.; Kaewhirun, S.; Iamsirithaworn, S.; Khampaen, D.; Farmer, A.; Fernandez, S.; Rodriguez-Barraquer, I.; Srikiatkhachorn, A.; Thomas, S.; Endy, T.; Rothman, A.; Anderson, K.; Cummings, D.; Salje, H.
Show abstract
Dengue virus (DENV) immunity is complex. Maternally-derived DENV antibodies initially provide protection against infection, however, as antibodies decay they can enhance disease severity upon infection. Quantifying antibody titers that are associated with disease risk is complicated by their dynamic nature and imperfect measurement processes. It also remains unknown whether long-term trends in birth rates, population-level infection risks, and maternal ages have altered immune profiles in child-bearing women, leading to shifts in age-specific infant disease risks. Here, we analyse DENV antibody data from two infant cohorts (N=165 infants with 665 blood draws) and 40 years of infant dengue hospitalisation data from Thailand. We use mathematical models to reconstruct maternally-derived antibody dynamics and estimate hospitalisation risk by titer. We find the relative risk of dengue hospitalisation ranges from 0.13 (0.00-0.89) in 1 month olds to 3.52 (3.25-3.79) in 8 month olds, compared to the risk in 12 month olds. We estimate the highest risk of infant dengue hospitalisation occurs at PRNT50 titers of 6.0 (5.7-6.6). Our inferred titer-related risk estimates are consistent with previously identified titer-based correlates of severe disease among older individuals experiencing secondary DENV infections, suggesting a common mechanism of risk enhancement from pre-existing antibodies. Finally, we describe how the shifting epidemiology of dengue in Thailand, combined with declining birth rates, have decreased the absolute risk of infant dengue disease by 64% over a 40 year period while having minimal impact on the mean age of infant hospital-attended dengue disease.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony 94%
- Estimating incidence of infection from diverse data sources: Zika virus in Puerto Rico, 2016 94%
- Using Test Positivity and Reported Case Rates to Estimate State-Level COVID-19 Prevalence and Seroprevalence in the United States 94%
Similar papers in this journal
Similar papers in this journal
- Changes in transmission of Enterovirus D68 (EV-D68) in England inferred from seroprevalence data 96%
- SARS-CoV-2 transmission dynamics in South Africa and epidemiological characteristics of the Omicron variant 94%
- Physiology and ecology together regulate host and vector importance for Ross River virus and other vector-borne diseases 94%
Similar papers in this journal
- Spatiotemporal Variability in Dengue Transmission Intensity in Jakarta, Indonesia 98%
- Estimating dengue transmission intensity from serological data: a comparative analysis using mixture and catalytic models 95%
- Age-specific case data reveal varying dengue transmission intensity in US states and territories 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.