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Biggs JR, Sy AK, Ashall J, Santoso MS, Brady OJ, Reyes MAJ, Quinones MA, Jones-Warner W, Tandoc AO, Sucaldito NL, Mai HK, Lien LT, Thai HD, Nguyen HAT, Anh DD, Iwasaki C, Kitamura N, Van Loock M, Herrera-Taracena G, Menten J, Rasschaert F, Van Wesenbeeck L, Masyeni S, Haryanto S, Yohan B, Cutiongco-de la Paz E, Yoshida LM, Hue S, Rosario Z. Capeding M, Padilla CD, Sasmono RT, Hafalla JCR, Hibberd ML. Combining rapid diagnostic tests to estimate primary and post-primary dengue immune status at the point of care. PLoS Negl Trop Dis 2022; 16:e0010365. [PMID: 35507552 PMCID: PMC9067681 DOI: 10.1371/journal.pntd.0010365] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 03/28/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Characterising dengue virus (DENV) infection history at the point of care is challenging as it relies on intensive laboratory techniques. We investigated how combining different rapid diagnostic tests (RDTs) can be used to accurately determine the primary and post-primary DENV immune status of reporting patients during diagnosis. METHODS AND FINDINGS Serum from cross-sectional surveys of acute suspected dengue patients in Indonesia (N:200) and Vietnam (N: 1,217) were assayed using dengue laboratory assays and RDTs. Using logistic regression modelling, we determined the probability of being DENV NS1, IgM and IgG RDT positive according to corresponding laboratory viremia, IgM and IgG ELISA metrics. Laboratory test thresholds for RDT positivity/negativity were calculated using Youden's J index and were utilized to estimate the RDT outcomes in patients from the Philippines, where only data for viremia, IgM and IgG were available (N:28,326). Lastly, the probabilities of being primary or post-primary according to every outcome using all RDTs, by day of fever, were calculated. Combining NS1, IgM and IgG RDTs captured 94.6% (52/55) and 95.4% (104/109) of laboratory-confirmed primary and post-primary DENV cases, respectively, during the first 5 days of fever. Laboratory test predicted, and actual, RDT outcomes had high agreement (79.5% (159/200)). Among patients from the Philippines, different combinations of estimated RDT outcomes were indicative of post-primary and primary immune status. Overall, IgG RDT positive results were confirmatory of post-primary infections. In contrast, IgG RDT negative results were suggestive of both primary and post-primary infections on days 1-2 of fever, yet were confirmatory of primary infections on days 3-5 of fever. CONCLUSION We demonstrate how the primary and post-primary DENV immune status of reporting patients can be estimated at the point of care by combining NS1, IgM and IgG RDTs and considering the days since symptoms onset. This framework has the potential to strengthen surveillance operations and dengue prognosis, particularly in low resource settings.
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Affiliation(s)
- Joseph R. Biggs
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Ava Kristy Sy
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines
- Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines
| | - James Ashall
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Marsha S. Santoso
- Dengue Research Unit, Eijkman Institute for Molecular Biology, National Agency for Research and Innovation of the Republic of Indonesia, Jakarta, Indonesia
| | - Oliver J. Brady
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Mary Anne Joy Reyes
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines
- Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines
| | - Mary Ann Quinones
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines
- Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines
| | - William Jones-Warner
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Amadou O. Tandoc
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines
| | - Nemia L. Sucaldito
- Philippine Epidemiology Bureau, Department of Health, Manila, Philippines
| | | | - Le Thuy Lien
- Pasteur Institute of Nha Trang, Nha Trang, Vietnam
| | - Hung Do Thai
- Pasteur Institute of Nha Trang, Nha Trang, Vietnam
| | | | - Dang Duc Anh
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
| | - Chihiro Iwasaki
- Paediatric Infectious Diseases Department, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Noriko Kitamura
- Paediatric Infectious Diseases Department, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Marnix Van Loock
- Janssen Global Public Health, Janssen Pharmaceutica NV, Beerse, Belgium
| | - Guillermo Herrera-Taracena
- Janssen Global Public Health, Janssen Research & Development, Horsham, Pennsylvania, United States of America
| | - Joris Menten
- Quantitative Sciences, Janssen Pharmaceutica NV, Beerse, Belgium
| | - Freya Rasschaert
- Janssen Global Public Health, Janssen Pharmaceutica NV, Beerse, Belgium
| | | | - Sri Masyeni
- Department of Internal Medicine, Faculty of Medicine and Health Sciences, Universitas Warmadewa, Denpasar, Bali, Indonesia
| | | | - Benediktus Yohan
- Dengue Research Unit, Eijkman Institute for Molecular Biology, National Agency for Research and Innovation of the Republic of Indonesia, Jakarta, Indonesia
| | - Eva Cutiongco-de la Paz
- Institute of Human Genetics, University of the Philippines, Manila, Philippines
- Philippine Genome Centre, University of the Philippines, Manila, Philippines
| | - Lay-Myint Yoshida
- Paediatric Infectious Diseases Department, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Stephane Hue
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Maria Rosario Z. Capeding
- Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines
- Institute of Human Genetics, University of the Philippines, Manila, Philippines
| | - Carmencita D. Padilla
- Institute of Human Genetics, University of the Philippines, Manila, Philippines
- Philippine Genome Centre, University of the Philippines, Manila, Philippines
| | - R. Tedjo Sasmono
- Dengue Research Unit, Eijkman Institute for Molecular Biology, National Agency for Research and Innovation of the Republic of Indonesia, Jakarta, Indonesia
| | - Julius Clemence R. Hafalla
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Martin L. Hibberd
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
- Institute of Human Genetics, University of the Philippines, Manila, Philippines
- Philippine Genome Centre, University of the Philippines, Manila, Philippines
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Biggs JR, Sy AK, Sherratt K, Brady OJ, Kucharski AJ, Funk S, Reyes MAJ, Quinones MA, Jones-Warner W, Avelino FL, Sucaldito NL, Tandoc AO, la Paz ECD, Capeding MRZ, Padilla CD, Hafalla JCR, Hibberd ML. Estimating the annual dengue force of infection from the age of reporting primary infections across urban centres in endemic countries. BMC Med 2021; 19:217. [PMID: 34587957 PMCID: PMC8482604 DOI: 10.1186/s12916-021-02101-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 08/17/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Stratifying dengue risk within endemic countries is crucial for allocating limited control interventions. Current methods of monitoring dengue transmission intensity rely on potentially inaccurate incidence estimates. We investigated whether incidence or alternate metrics obtained from standard, or laboratory, surveillance operations represent accurate surrogate indicators of the burden of dengue and can be used to monitor the force of infection (FOI) across urban centres. METHODS Among those who reported and resided in 13 cities across the Philippines, we collected epidemiological data from all dengue case reports between 2014 and 2017 (N 80,043) and additional laboratory data from a cross-section of sampled case reports (N 11,906) between 2014 and 2018. At the city level, we estimated the aggregated annual FOI from age-accumulated IgG among the non-dengue reporting population using catalytic modelling. We compared city-aggregated FOI estimates to aggregated incidence and the mean age of clinically and laboratory diagnosed dengue cases using Pearson's Correlation coefficient and generated predicted FOI estimates using regression modelling. RESULTS We observed spatial heterogeneity in the dengue average annual FOI across sampled cities, ranging from 0.054 [0.036-0.081] to 0.249 [0.223-0.279]. Compared to FOI estimates, the mean age of primary dengue infections had the strongest association (ρ -0.848, p value<0.001) followed by the mean age of those reporting with warning signs (ρ -0.642, p value 0.018). Using regression modelling, we estimated the predicted annual dengue FOI across urban centres from the age of those reporting with primary infections and revealed prominent spatio-temporal heterogeneity in transmission intensity. CONCLUSIONS We show the mean age of those reporting with their first dengue infection or those reporting with warning signs of dengue represent superior indicators of the dengue FOI compared to crude incidence across urban centres. Our work provides a framework for national dengue surveillance to routinely monitor transmission and target control interventions to populations most in need.
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Affiliation(s)
- Joseph R. Biggs
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Ava Kristy Sy
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines
- Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines
| | - Katharine Sherratt
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Oliver J. Brady
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Adam J. Kucharski
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Sebastian Funk
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Mary Anne Joy Reyes
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines
- Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines
| | - Mary Ann Quinones
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines
- Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines
| | - William Jones-Warner
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Nemia L. Sucaldito
- Department of Health, Philippine Epidemiology Bureau, Manila, Philippines
| | - Amado O. Tandoc
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines
| | - Eva Cutiongco-de la Paz
- Institute of Human Genetics, National Institute of Health, University of the Philippines, Manila, Philippines
- Philippine Genome Centre, University of the Philippines, Manila, Philippines
| | - Maria Rosario Z. Capeding
- Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines
- Institute of Human Genetics, National Institute of Health, University of the Philippines, Manila, Philippines
| | - Carmencita D. Padilla
- Institute of Human Genetics, National Institute of Health, University of the Philippines, Manila, Philippines
- Philippine Genome Centre, University of the Philippines, Manila, Philippines
| | - Julius Clemence R. Hafalla
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Martin L. Hibberd
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
- Institute of Human Genetics, National Institute of Health, University of the Philippines, Manila, Philippines
- Philippine Genome Centre, University of the Philippines, Manila, Philippines
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Biggs JR, Sy AK, Brady OJ, Kucharski AJ, Funk S, Tu YH, Reyes MAJ, Quinones MA, Jones-Warner W, Ashall J, Avelino FL, Sucaldito NL, Tandoc AO, Cutiongco-de la Paz E, Capeding MRZ, Padilla CD, Hibberd ML, Hafalla JCR. Serological Evidence of Widespread Zika Transmission across the Philippines. Viruses 2021; 13:1441. [PMID: 34452307 PMCID: PMC8402696 DOI: 10.3390/v13081441] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 07/15/2021] [Accepted: 07/20/2021] [Indexed: 12/13/2022] Open
Abstract
Zika virus (ZIKV) exposure across flavivirus-endemic countries, including the Philippines, remains largely unknown despite sporadic case reporting and environmental suitability for transmission. Using laboratory surveillance data from 2016, 997 serum samples were randomly selected from suspected dengue (DENV) case reports across the Philippines and assayed for serological markers of short-term (IgM) and long-term (IgG) ZIKV exposure. Using mixture models, we re-evaluated ZIKV IgM/G seroprevalence thresholds and used catalytic models to quantify the force of infection (attack rate, AR) from age-accumulated ZIKV exposure. While we observed extensive ZIKV/DENV IgG cross-reactivity, not all individuals with active DENV presented with elevated ZIKV IgG, and a proportion of dengue-negative cases (DENV IgG-) were ZIKV IgG-positive (14.3%, 9/63). We identified evidence of long-term, yet not short-term, ZIKV exposure across Philippine regions (ZIKV IgG+: 31.5%, 314/997) which was geographically uncorrelated with DENV exposure. In contrast to the DENV AR (12.7% (95%CI: 9.1-17.4%)), the ZIKV AR was lower (5.7% (95%CI: 3-11%)) across the country. Our results provide evidence of widespread ZIKV exposure across the Philippines and suggest the need for studies to identify ZIKV infection risk factors over time to better prepare for potential future outbreaks.
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Affiliation(s)
- Joseph R. Biggs
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; (W.J.-W.); (J.A.); (M.L.H.); (J.C.R.H.)
| | - Ava Kristy Sy
- Department of Virology, Research Institute for Tropical Medicine, Manila 1781, Philippines; (A.K.S.); (M.A.J.R.); (M.A.Q.); (A.O.T.)
- Dengue Study Group, Research Institute for Tropical Medicine, Manila 1781, Philippines;
| | - Oliver J. Brady
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; (O.J.B.); (A.J.K.); (S.F.)
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Adam J. Kucharski
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; (O.J.B.); (A.J.K.); (S.F.)
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Sebastian Funk
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; (O.J.B.); (A.J.K.); (S.F.)
- Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Yun-Hung Tu
- Department of Molecular Parasitology and Tropical Diseases, Graduate Institute of Medical Sciences, Taipei Medical University, Taipei 11031, Taiwan;
| | - Mary Anne Joy Reyes
- Department of Virology, Research Institute for Tropical Medicine, Manila 1781, Philippines; (A.K.S.); (M.A.J.R.); (M.A.Q.); (A.O.T.)
- Dengue Study Group, Research Institute for Tropical Medicine, Manila 1781, Philippines;
| | - Mary Ann Quinones
- Department of Virology, Research Institute for Tropical Medicine, Manila 1781, Philippines; (A.K.S.); (M.A.J.R.); (M.A.Q.); (A.O.T.)
- Dengue Study Group, Research Institute for Tropical Medicine, Manila 1781, Philippines;
| | - William Jones-Warner
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; (W.J.-W.); (J.A.); (M.L.H.); (J.C.R.H.)
| | - James Ashall
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; (W.J.-W.); (J.A.); (M.L.H.); (J.C.R.H.)
| | - Ferchito L. Avelino
- Department of Health, Philippine Epidemiology Bureau, Manila 1003, Philippines; (F.L.A.); (N.L.S.)
| | - Nemia L. Sucaldito
- Department of Health, Philippine Epidemiology Bureau, Manila 1003, Philippines; (F.L.A.); (N.L.S.)
| | - Amado O. Tandoc
- Department of Virology, Research Institute for Tropical Medicine, Manila 1781, Philippines; (A.K.S.); (M.A.J.R.); (M.A.Q.); (A.O.T.)
| | - Eva Cutiongco-de la Paz
- Institute of Human Genetics, University of the Philippines, Manila 1000, Philippines; (E.C.-d.l.P.); (C.D.P.)
- Philippine Genome Centre, University of the Philippines, Manila 1101, Philippines
| | - Maria Rosario Z. Capeding
- Dengue Study Group, Research Institute for Tropical Medicine, Manila 1781, Philippines;
- Institute of Human Genetics, University of the Philippines, Manila 1000, Philippines; (E.C.-d.l.P.); (C.D.P.)
| | - Carmencita D. Padilla
- Institute of Human Genetics, University of the Philippines, Manila 1000, Philippines; (E.C.-d.l.P.); (C.D.P.)
- Philippine Genome Centre, University of the Philippines, Manila 1101, Philippines
| | - Martin L. Hibberd
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; (W.J.-W.); (J.A.); (M.L.H.); (J.C.R.H.)
- Institute of Human Genetics, University of the Philippines, Manila 1000, Philippines; (E.C.-d.l.P.); (C.D.P.)
- Philippine Genome Centre, University of the Philippines, Manila 1101, Philippines
| | - Julius Clemence R. Hafalla
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK; (W.J.-W.); (J.A.); (M.L.H.); (J.C.R.H.)
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4
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Biggs JR, Sy AK, Brady OJ, Kucharski AJ, Funk S, Reyes MAJ, Quinones MA, Jones-Warner W, Tu YH, Avelino FL, Sucaldito NL, Mai HK, Lien LT, Do Thai H, Nguyen HAT, Anh DD, Iwasaki C, Kitamura N, Yoshida LM, Tandoc AO, la Paz ECD, Capeding MRZ, Padilla CD, Hafalla JCR, Hibberd ML. A serological framework to investigate acute primary and post-primary dengue cases reporting across the Philippines. BMC Med 2020; 18:364. [PMID: 33243267 PMCID: PMC7694902 DOI: 10.1186/s12916-020-01833-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 10/29/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND In dengue-endemic countries, targeting limited control interventions to populations at risk of severe disease could enable increased efficiency. Individuals who have had their first (primary) dengue infection are at risk of developing more severe secondary disease, thus could be targeted for disease prevention. Currently, there is no reliable algorithm for determining primary and post-primary (infection with more than one flavivirus) status from a single serum sample. In this study, we developed and validated an immune status algorithm using single acute serum samples from reporting patients and investigated dengue immuno-epidemiological patterns across the Philippines. METHODS During 2015/2016, a cross-sectional sample of 10,137 dengue case reports provided serum for molecular (anti-DENV PCR) and serological (anti-DENV IgM/G capture ELISA) assay. Using mixture modelling, we re-assessed IgM/G seroprevalence and estimated functional, disease day-specific, IgG:IgM ratios that categorised the reporting population as negative, historical, primary and post-primary for dengue. We validated our algorithm against WHO gold standard criteria and investigated cross-reactivity with Zika by assaying a random subset for anti-ZIKV IgM and IgG. Lastly, using our algorithm, we explored immuno-epidemiological patterns of dengue across the Philippines. RESULTS Our modelled IgM and IgG seroprevalence thresholds were lower than kit-provided thresholds. Individuals anti-DENV PCR+ or IgM+ were classified as active dengue infections (83.1%, 6998/8425). IgG- and IgG+ active dengue infections on disease days 1 and 2 were categorised as primary and post-primary, respectively, while those on disease days 3 to 5 with IgG:IgM ratios below and above 0.45 were classified as primary and post-primary, respectively. A significant proportion of post-primary dengue infections had elevated anti-ZIKV IgG inferring previous Zika exposure. Our algorithm achieved 90.5% serological agreement with WHO standard practice. Post-primary dengue infections were more likely to be older and present with severe symptoms. Finally, we identified a spatio-temporal cluster of primary dengue case reporting in northern Luzon during 2016. CONCLUSIONS Our dengue immune status algorithm can equip surveillance operations with the means to target dengue control efforts. The algorithm accurately identified primary dengue infections who are at risk of future severe disease.
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Affiliation(s)
- Joseph R Biggs
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
| | - Ava Kristy Sy
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines.,Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines
| | - Oliver J Brady
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.,Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Adam J Kucharski
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.,Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Sebastian Funk
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.,Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Mary Anne Joy Reyes
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines.,Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines
| | - Mary Ann Quinones
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines.,Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines
| | - William Jones-Warner
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Yun-Hung Tu
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Ferchito L Avelino
- Philippine Epidemiology Bureau, Department of Health, Manila, Philippines
| | - Nemia L Sucaldito
- Philippine Epidemiology Bureau, Department of Health, Manila, Philippines
| | | | - Le Thuy Lien
- Pasteur Institute of Nha Trang, Nha Trang, Vietnam
| | - Hung Do Thai
- Pasteur Institute of Nha Trang, Nha Trang, Vietnam
| | | | - Dang Duc Anh
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
| | - Chihiro Iwasaki
- Paediatric Infectious Diseases Department, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Noriko Kitamura
- Paediatric Infectious Diseases Department, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Lay-Myint Yoshida
- Paediatric Infectious Diseases Department, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan
| | - Amado O Tandoc
- Department of Virology, Research Institute for Tropical Medicine, Manila, Philippines
| | - Eva Cutiongco-de la Paz
- Institute of Human Genetics, National Institute of Health, University of the Philippines, Manila, Philippines.,Philippine Genome Centre, University of the Philippines, Manila, Philippines
| | - Maria Rosario Z Capeding
- Dengue Study Group, Research Institute for Tropical Medicine, Manila, Philippines.,Institute of Human Genetics, National Institute of Health, University of the Philippines, Manila, Philippines
| | - Carmencita D Padilla
- Institute of Human Genetics, National Institute of Health, University of the Philippines, Manila, Philippines.,Philippine Genome Centre, University of the Philippines, Manila, Philippines
| | - Julius Clemence R Hafalla
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Martin L Hibberd
- Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.,Institute of Human Genetics, National Institute of Health, University of the Philippines, Manila, Philippines.,Philippine Genome Centre, University of the Philippines, Manila, Philippines
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