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      Reconstruction of 60 Years of Chikungunya Epidemiology in the Philippines Demonstrates Episodic and Focal Transmission

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          Abstract

          Proper understanding of the long-term epidemiology of chikungunya has been hampered by poor surveillance. Outbreak years are unpredictable and cases often misdiagnosed. Here we analyzed age-specific data from 2 serological studies (from 1973 and 2012) in Cebu, Philippines, to reconstruct both the annual probability of infection and population-level immunity over a 60-year period (1952–2012). We also explored whether seroconversions during 2012–2013 were spatially clustered. Our models identified 4 discrete outbreaks separated by an average delay of 17 years. On average, 23% (95% confidence interval [CI], 16%–37%) of the susceptible population was infected per outbreak, with >50% of the entire population remaining susceptible at any point. Participants who seroconverted during 2012–2013 were clustered at distances of <230 m, suggesting focal transmission. Large-scale outbreaks of chikungunya did not result in sustained multiyear transmission. Nevertheless, we estimate that >350 000 infections were missed by surveillance systems. Serological studies could supplement surveillance to provide important insights on pathogen circulation.

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          Transmission dynamics and epidemiology of dengue: insights from age-stratified sero-prevalence surveys.

          The relationship between infection with the four major serotypes of dengue virus and the occurrence of different forms of disease is complex and not fully understood. Interpreting longitudinal records of the incidence of serious disease to gain insight into the transmission dynamics and epidemiology of the virus is therefore complicated. Since age reflects duration of exposure, age-stratified, strain-specific serological surveys carried out at one point in time, or over a short time interval, can potentially provide a rich source of information on longitudinal patterns. This paper describes the development and application (to data collected in Thailand) of statistically rigorous methods designed to estimate time-varying, strain-specific forces of infection, and thus basic reproduction numbers, from cross-sectional serological data. The analyses provide support for the hypothesis that antibody-dependent enhancement of transmission influences observed epidemiological pattern. Age-stratified serological data also reveal evidence of a propensity for the annual incidence of infection to oscillate over time with a frequency of several years. The latter observation is consistent with the predictions of simple mathematical models of the transmission dynamics of the virus. The estimates of the basic reproduction numbers obtained are similar in magnitude for each dengue serotype, being in the range of four to six. Such values are higher than those obtained from earlier analyses, and the implications of this for dengue control are discussed.
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            Revealing the microscale spatial signature of dengue transmission and immunity in an urban population.

            It is well-known that the distribution of immunity in a population dictates the future incidence of infectious disease, but this process is generally understood at individual or macroscales. For example, herd immunity to multiple pathogens has been observed at national and city levels. However, the effects of population immunity have not previously been shown at scales smaller than the city (e.g., neighborhoods). In particular, no study has shown long-term effects of population immunity at scales consistent with the spatial scale of person-to-person transmission. Here, we use the location of dengue patients' homes in Bangkok with the serotype of the infecting pathogen to investigate the spatiotemporal distribution of disease risk at small spatial scales over a 5-y period. We find evidence for localized transmission at distances of under 1 km. We also observe patterns of spatiotemporal dependence consistent with the expected impacts of homotypic immunity, heterotypic immunity, and immune enhancement of disease at these distances. Our observations indicate that immunological memory of dengue serotypes occurs at the neighborhood level in this large urban setting. These methods have broad applications to studying the spatiotemporal structure of disease risk where pathogen serotype or genetic information is known.
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              Reappearance of Chikungunya, Formerly Called Dengue, in the Americas

              The syndrome was renamed in the twentieth century after it was shown to differ from dengue.
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                Author and article information

                Journal
                J Infect Dis
                J. Infect. Dis
                jid
                jinfdis
                The Journal of Infectious Diseases
                Oxford University Press
                0022-1899
                1537-6613
                15 February 2016
                25 September 2015
                25 September 2015
                : 213
                : 4
                : 604-610
                Affiliations
                [1 ]Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland
                [2 ]Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Medical School , Worcester
                [3 ]Department of Biology, University of Florida , Gainesville
                [4 ]Mathematical Modeling Unit, Institut Pasteur , Paris, France
                [5 ]Virology Research Unit, Armed Forces Research Institute of Medical Sciences
                [6 ]Cebu City Health Department, Cebu City
                [7 ]Department of Health, National Epidemiology Center , Manila, Philippines
                [8 ]Department of Virology, Armed Forces Research Institute of Medical Sciences , Bangkok, Thailand
                [9 ]International Vaccine Institute , Seoul, Republic of Korea
                Author notes
                Correspondence: H. Salje, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Rm E6008, Baltimore, MD 21205 ( hsalje@ 123456jhu.edu ).
                Article
                jiv470
                10.1093/infdis/jiv470
                4721913
                26410592
                1db4fb3f-ac6f-4093-947f-233dae1e2f06
                © The Author 2015. Published by Oxford University Press for the Infectious Diseases Society of America.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence ( http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, contact journals.permissions@ 123456oup.com .

                History
                : 19 August 2015
                : 16 September 2015
                Funding
                Funded by: US Department of the Army, the US Department of Defense, or the US government
                Funded by: National Institutes of Health http://dx.doi.org/10.13039/100000002
                Award ID: grant R01 AI102939-01A1
                Funded by: Armed Forces Health Surveillance Center–Global Emerging Infections Surveillance and Response System
                Award ID: grant P0149 14 AF
                Categories
                Major Articles and Brief Reports
                Viruses

                Infectious disease & Microbiology
                chikungunya,epidemiology,philippines,modeling,serological study
                Infectious disease & Microbiology
                chikungunya, epidemiology, philippines, modeling, serological study

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