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Farrell J, Spolyar O, Greenhalgh S. The effect of screening on the health burden of chlamydia: An evaluation of compartmental models based on person-days of infection. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:16131-16147. [PMID: 37920006 DOI: 10.3934/mbe.2023720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
Sexually transmitted diseases (STDs) are detrimental to the health and economic well-being of society. Consequently, predicting outbreaks and identifying effective disease interventions through epidemiological tools, such as compartmental models, is of the utmost importance. Unfortunately, the ordinary differential equation compartmental models attributed to the work of Kermack and McKendrick require a duration of infection that follows the exponential or Erlang distribution, despite the biological invalidity of such assumptions. As these assumptions negatively impact the quality of predictions, alternative approaches are required that capture how the variability in the duration of infection affects the trajectory of disease and the evaluation of disease interventions. So, we apply a new family of ordinary differential equation compartmental models based on the quantity person-days of infection to predict the trajectory of disease. Importantly, this new family of models features non-exponential and non-Erlang duration of infection distributions without requiring more complex integral and integrodifferential equation compartmental model formulations. As proof of concept, we calibrate our model to recent trends of chlamydia incidence in the U.S. and utilize a novel duration of infection distribution that features periodic hazard rates. We then evaluate how increasing STD screening rates alter predictions of incidence and disability adjusted life-years over a five-year horizon. Our findings illustrate that our family of compartmental models provides a better fit to chlamydia incidence trends than traditional compartmental models, based on Akaike information criterion. They also show new asymptomatic and symptomatic infections of chlamydia peak over drastically different time frames and that increasing the annual STD screening rates from 35% to 40%-70% would annually avert 6.1-40.3 incidence while saving 1.68-11.14 disability adjusted life-years per 1000 people. This suggests increasing the STD screening rate in the U.S. would greatly aid in ongoing public health efforts to curtail the rising trends in preventable STDs.
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Affiliation(s)
- Jack Farrell
- Department of Mathematics, Siena College, Loudonville, NY, USA
| | - Owen Spolyar
- Department of Mathematics, Siena College, Loudonville, NY, USA
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Coomes D, Green D, Barnabas R, Sharma M, Barr-DiChiara M, Jamil MS, Baggaley R, Owiredu MN, Macdonald V, Nguyen VTT, Vo SH, Taylor M, Wi T, Johnson C, Drake AL. Cost-effectiveness of implementing HIV and HIV/syphilis dual testing among key populations in Viet Nam: a modelling analysis. BMJ Open 2022; 12:e056887. [PMID: 35953255 PMCID: PMC9379490 DOI: 10.1136/bmjopen-2021-056887] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES Key populations, including sex workers, men who have sex with men, and people who inject drugs, have a high risk of HIV and sexually transmitted infections. We assessed the health and economic impacts of different HIV and syphilis testing strategies among three key populations in Viet Nam using a dual HIV/syphilis rapid diagnostic test (RDT). SETTING We used the spectrum AIDS impact model to simulate the HIV epidemic in Viet Nam and evaluated five testing scenarios among key populations. We used a 15-year time horizon and a provider perspective for costs. PARTICIPANTS We simulate the entire population of Viet Nam in the model. INTERVENTIONS We modelled five testing scenarios among key populations: (1) annual testing with an HIV RDT, (2) annual testing with a dual RDT, (3) biannual testing using dual RDT and HIV RDT, (4) biannual testing using HIV RDT and (5) biannual testing using dual RDT. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome is incremental cost-effectiveness ratios. Secondary outcomes include HIV and syphilis cases. RESULTS Annual testing using a dual HIV/syphilis RDT was cost-effective (US$10 per disability-adjusted life year (DALY)) and averted 3206 HIV cases and treated 27 727 syphilis cases compared with baseline over 15 years. Biannual testing using one dual test and one HIV RDT (US$1166 per DALY), or two dual tests (US$5672 per DALY) both averted an additional 875 HIV cases, although only the former scenario was cost-effective. Annual or biannual HIV testing using HIV RDTs and separate syphilis tests were more costly and less effective than using one or two dual RDTs. CONCLUSIONS Annual HIV and syphilis testing using dual RDT among key populations is cost-effective in Vietnam and similar settings to reach global reduction goals for HIV and syphilis.
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Affiliation(s)
- David Coomes
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Dylan Green
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Ruanne Barnabas
- Department of Global Health, University of Washington, Seattle, Washington, USA
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Monisha Sharma
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | - Magdalena Barr-DiChiara
- Department of Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland
| | - Muhammad S Jamil
- Department of Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland
| | - R Baggaley
- Department of Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland
| | - Morkor Newman Owiredu
- Department of Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland
| | - Virginia Macdonald
- Department of Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland
| | | | - Son Hai Vo
- Viet Nam Authority for HIV/AIDS Prevention and Control, Government of Viet Nam Ministry of Health, Hanoi, Viet Nam
| | - Melanie Taylor
- Department of Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland
- Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Teodora Wi
- Department of Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland
| | - Cheryl Johnson
- Department of Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland
- Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK
| | - Alison L Drake
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Global Health, University of Washington, Seattle, Washington, USA
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Mullin S, Wyk BV, Asher JL, Compton SR, Allore HG, Zeiss CJ. Modeling pandemic to endemic patterns of SARS-CoV-2 transmission using parameters estimated from animal model data. PNAS NEXUS 2022; 1:pgac096. [PMID: 35799833 PMCID: PMC9254158 DOI: 10.1093/pnasnexus/pgac096;] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The contours of endemic coronaviral disease in humans and other animals are shaped by the tendency of coronaviruses to generate new variants superimposed upon nonsterilizing immunity. Consequently, patterns of coronaviral reinfection in animals can inform the emerging endemic state of the SARS-CoV-2 pandemic. We generated controlled reinfection data after high and low risk natural exposure or heterologous vaccination to sialodacryoadenitis virus (SDAV) in rats. Using deterministic compartmental models, we utilized in vivo estimates from these experiments to model the combined effects of variable transmission rates, variable duration of immunity, successive waves of variants, and vaccination on patterns of viral transmission. Using rat experiment-derived estimates, an endemic state achieved by natural infection alone occurred after a median of 724 days with approximately 41.3% of the population susceptible to reinfection. After accounting for translationally altered parameters between rat-derived data and human SARS-CoV-2 transmission, and after introducing vaccination, we arrived at a median time to endemic stability of 1437 (IQR = 749.25) days with a median 15.4% of the population remaining susceptible. We extended the models to introduce successive variants with increasing transmissibility and included the effect of varying duration of immunity. As seen with endemic coronaviral infections in other animals, transmission states are altered by introduction of new variants, even with vaccination. However, vaccination combined with natural immunity maintains a lower prevalence of infection than natural infection alone and provides greater resilience against the effects of transmissible variants.
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Affiliation(s)
- Sarah Mullin
- Yale Center for Medical Informatics, Yale School of Medicine, New Haven, CT 06520, USA
| | - Brent Vander Wyk
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT 06520, USA
| | - Jennifer L Asher
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT 06520, USA
| | - Susan R Compton
- Department of Comparative Medicine, Yale School of Medicine, New Haven, CT 06520, USA
| | - Heather G Allore
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT 06520, USA,Department of Biostatistics, Yale School of Public Health, New Haven, CT 06520, USA
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