Time-varying, serotype-specific force of infection of dengue virus

Reiner, R. C., Stoddard, S. T., Forshey, B. M., King, A. A., Ellis, A. M., Lloyd, A. L., Long, K. C., Rocha, C., Vilcarromero, S., Astete, H., Bazan, I., Lenhart, Audrey, Vazquez-Prokopec, G. M., Paz-Soldan, V. A., McCall, Philip ORCID: https://orcid.org/0000-0002-0007-3985, Kitron, U., Elder, J. P., Halsey, E. S., Morrison, A. C., Kochel, T. J. and Scott, T. W. (2014) 'Time-varying, serotype-specific force of infection of dengue virus'. Proceedings of the National Academy of Sciences, Vol 111, Issue 26, E2694-E2702.

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Abstract

Infectious disease models play a key role in public health planning. These models rely on accurate estimates of key transmission parameters such as the force of infection (FoI), which is the per-capita risk of a susceptible person being infected. The FoI captures the fundamental dynamics of transmission and is crucial for gauging control efforts, such as identifying vaccination targets. Dengue virus (DENV) is a mosquito-borne, multiserotype pathogen that currently infects ∼390 million people a year. Existing estimates of the DENV FoI are inaccurate because they rely on the unrealistic assumption that risk is constant over time. Dengue models are thus unreliable for designing vaccine deployment strategies. Here, we present to our knowledge the first time-varying (daily), serotype-specific estimates of DENV FoIs using a spline-based fitting procedure designed to examine a 12-y, longitudinal DENV serological dataset from Iquitos, Peru (11,703 individuals, 38,416 samples, and 22,301 serotype-specific DENV infections from 1999 to 2010). The yearly DENV FoI varied markedly across time and serotypes (0–0.33), as did daily basic reproductive numbers (0.49–4.72). During specific time periods, the FoI fluctuations correlated across serotypes, indicating that different DENV serotypes shared common transmission drivers. The marked variation in transmission intensity that we detected indicates that intervention targets based on one-time estimates of the FoI could underestimate the level of effort needed to prevent disease. Our description of dengue virus transmission dynamics is unprecedented in detail, providing a basis for understanding the persistence of this rapidly emerging pathogen and improving disease prevention programs.

Item Type:	Article
Subjects:	QX Parasitology > Insects. Other Parasites > QX 510 Mosquitoes WA Public Health > WA 105 Epidemiology WA Public Health > Preventive Medicine > WA 110 Prevention and control of communicable diseases. Transmission of infectious diseases WC Communicable Diseases > WC 20 Research (General) WC Communicable Diseases > Virus Diseases > Infectious Mononucleosis. Arbovirus Infections > WC 528 Dengue
Faculty: Department:	Biological Sciences > Vector Biology Department
Digital Object Identifer (DOI):	https://doi.org/10.1073/pnas.1314933111
Depositing User:	Samantha Sheldrake
Date Deposited:	03 Jul 2014 11:25
Last Modified:	17 Jul 2020 10:56
URI:	https://archive.lstmed.ac.uk/id/eprint/3738

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