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Ghosh P, Tesfaye W, Manandhar A, Calma T, Bushell M, Oguoma VM, Kosari S, McMillan F, Peterson G, Thomas J. Mass drug administration campaigns for scabies and impetigo: protocol for a systematic review and meta-analysis. BMJ Paediatr Open 2021; 5:e001132. [PMID: 34263086 PMCID: PMC8245437 DOI: 10.1136/bmjpo-2021-001132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 05/27/2021] [Indexed: 11/30/2022] Open
Abstract
Introduction Scabies is recognised as a neglected tropical disease, disproportionately affecting the most vulnerable populations around the world. Impetigo often occurs secondarily to scabies. Several studies have explored mass drug administration (MDA) programmes, with some showing positive outcomes-but a systematic evaluation of such studies is yet to be reported. The main aim of this systematic review is to generate comprehensive evidence on the effect and feasibility of MDA programmes in reducing the burden of scabies and impetigo. Methods and analysis A systematic review and meta-analysis will be conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis statement. Electronic databases to be searched will include CINAHL EBSCOhost, Medline Ovid, ProQuest, Science Direct, PubMed and SCOPUS. In addition, grey literature will be explored via the Australian Institute of Health and Welfare, Australian Indigenous HealthInfoNet, Informit, OaIster database and WHO. No language restrictions will be applied. All treatment studies following an MDA protocol, including randomised/quasi-controlled trials, and prospective before-after interventional studies, will be considered. The main outcome is the change in prevalence of scabies and impetigo The Cochrane collaboration risk of bias assessment tool will be used for assessing the methodological quality of studies. A random-effect restricted maximum likelihood meta-analysis will be performed to generate pooled effect (OR) using STATA V.16. Appropriate statistical tests will be carried out to quantify heterogeneity between studies and publication bias. Ethics and dissemination Ethical approval is not required since data will be extracted from published works. The findings will be communicated to the scientific community through a peer-reviewed journal publication. This systematic review will present an evidence on the effect of MDA interventions on scabies and impetigo, which is instrumental to obtain a clear understanding of the treatments widely used in these programmes. PROSPERO registration number CRD42020169544.
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Affiliation(s)
- Pousali Ghosh
- Health, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Wubshet Tesfaye
- Health Research Institute, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Avilasha Manandhar
- Health, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Thomas Calma
- Health, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Mary Bushell
- Health, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Victor M Oguoma
- Health Research Institute, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Sam Kosari
- Health, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Faye McMillan
- School of Public Health and Community Medicine, The University of New South Wales, Kensington, New South Wales, Australia
| | - Greg Peterson
- Health, University of Canberra, Canberra, Australian Capital Territory, Australia
- School of Pharmacy and Pharmacology, University of Tasmania, Hobart, Tasmania, Australia
| | - Jackson Thomas
- Health, University of Canberra, Canberra, Australian Capital Territory, Australia
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Blumberg S, Borlase A, Prada JM, Solomon AW, Emerson P, Hooper PJ, Deiner MS, Amoah B, Hollingsworth D, Porco TC, Lietman TM. Implications of the COVID-19 pandemic on eliminating trachoma as a public health problem. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020. [PMID: 33140063 PMCID: PMC7605574 DOI: 10.1101/2020.10.26.20219691] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background: Progress towards elimination of trachoma as a public health problem has been substantial, but the COVID-19 pandemic has disrupted community-based control efforts. Methods: We use a susceptible-infected model to estimate the impact of delayed distribution of azithromycin treatment on the prevalence of active trachoma. Results: We identify three distinct scenarios for geographic districts depending on whether the basic reproduction number and the treatment-associated reproduction number are above or below a value of one. We find that when the basic reproduction number is below one, no significant delays in disease control will be caused. However, when the basic reproduction number is above one, significant delays can occur. In most districts a year of COVID-related delay can be mitigated by a single extra round of mass drug administration. However, supercritical districts require a new paradigm of infection control because the current strategies will not eliminate disease. Conclusion: If the pandemic can motivate judicious, community-specific implementation of control strategies, global elimination of trachoma as a public health problem could be accelerated.
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Affiliation(s)
| | | | - Joaquin M Prada
- Faculty of Health and Medical Sciences, University of Surrey, UK
| | - Anthony W Solomon
- Department of Control of Neglected Tropical Diseases, World Health Organization, Geneva, Switzerland
| | - Paul Emerson
- International Trachoma Initiative, The Task Force for Global Health, USA
| | - Pamela J Hooper
- International Trachoma Initiative, The Task Force for Global Health, USA
| | | | - Benjamin Amoah
- Lancaster Medical School, Lancaster University, Bailrigg, Lancaster, UK
| | | | - Travis C Porco
- Francis I Proctor Foundation, UCSF, USA.,Department of Epidemiology and Biostatistics, UCSF, USA
| | - Thomas M Lietman
- Francis I Proctor Foundation, UCSF, USA.,Department of Epidemiology and Biostatistics, UCSF, USA.,Institute for Global Health Sciences, UCSF, USA.,Department of Ophthalmology, UCSF, USA
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Lietman TM, Pinsent A, Liu F, Deiner M, Hollingsworth TD, Porco TC. Models of Trachoma Transmission and Their Policy Implications: From Control to Elimination. Clin Infect Dis 2019; 66:S275-S280. [PMID: 29860288 PMCID: PMC5982784 DOI: 10.1093/cid/ciy004] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Despite great progress in eliminating trachoma from the majority of worldwide districts, trachoma control seems to have stalled in some endemic districts. Can mathematical models help suggest the way forward? We review specific achievements of models in trachoma control in the past. Models showed that, even with incomplete coverage, mass drug administration could eliminate disease through a spillover effect, somewhat analogous to how incomplete vaccine campaigns can eliminate disease through herd protection. Models also suggest that elimination can always be achieved if enough people are treated often enough with an effective enough drug. Other models supported the idea that targeting ages at highest risk or continued improvements in hygiene and sanitation can contribute meaningfully to trachoma control. Models of intensive targeting of a core group may point the way to final eradication even in areas with substantial transmission and within-community heterogeneity.
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Affiliation(s)
- Thomas M Lietman
- Francis I. Proctor Foundation, San Francisco.,Department of Ophthalmology, San Francisco.,Department of Epidemiology and Biostatistics, San Francisco.,Global Health Sciences, University of California, San Francisco
| | - Amy Pinsent
- School of Public Health and Preventative Medicine, Monash University, Melbourne, Australia
| | | | - Michael Deiner
- Francis I. Proctor Foundation, San Francisco.,Department of Ophthalmology, San Francisco
| | - T Deirdre Hollingsworth
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, United Kingdom
| | - Travis C Porco
- Francis I. Proctor Foundation, San Francisco.,Department of Ophthalmology, San Francisco.,Department of Epidemiology and Biostatistics, San Francisco
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Yue Y, Xiong T, Zeng L, Choonara I, Qazi S, Chen H, Mu D. Dose and formulation of azithromycin in mass drug administration studies: a systematic review protocol. BMJ Paediatr Open 2019; 3:e000462. [PMID: 31263792 PMCID: PMC6570485 DOI: 10.1136/bmjpo-2019-000462] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 04/26/2019] [Accepted: 04/29/2019] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION Azithromycin has been given for tropical infectious diseases such as trachoma and yaws by mass drug administration (MDA). As well as controlling the infectious disease in question, MDA may have a beneficial effect in reducing mortality in young children. However, the dose, formulation, frequency and duration of azithromycin used in certain infectious diseases may vary in different studies, and these differences may have impacts on the effectiveness of azithromycin MDA. Furthermore, whether the dose, formulation, frequency and duration are associated with the effectiveness of azithromycin for reducing child mortality-if indeed this effect can be confirmed-remain unknown. In this study, we will investigate whether different strategies such as different dose, formulation, frequency and duration affect the effectiveness of azithromycin MDA on the prevalence of certain infectious diseases or child mortality. METHODS AND ANALYSIS A narrative systematic review will be conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. PubMed, Embase, the Cochrane Central Register of Controlled Trials, Web of Science, ClinicalTrials.gov and WHO International Clinical Trials Registry Platform will be searched. No language restrictions will be applied. All randomised/quasi-controlled trials, observational studies (cross-sectional studies, cohort studies and case-control studies), case series and registered protocols will be considered. Dose, duration, frequency, rounds and formulations of azithromycin used in MDA will be collected and reviewed. The outcomes will be disease prevalence/control in children and child mortality. Data from the individual studies will not be pooled. ETHICS AND DISSEMINATION Formal ethical approval is not required since data will be collected from published studies. This systematic review will be published in a peer-reviewed journal and presented at conference meetings. PROSPERO REGISTRATION NUMBER CRD42018114902.
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Affiliation(s)
- Yan Yue
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of the Ministry of Education, Sichuan University, Chengdu, China
| | - Tao Xiong
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of the Ministry of Education, Sichuan University, Chengdu, China
| | - Linan Zeng
- Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of the Ministry of Education, Sichuan University, Chengdu, China.,Department of Pharmacy, Evidence-Based Pharmacy Center, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Imti Choonara
- Academic Division of Child Health, University of Nottingham School of Medicine, Derby, UK
| | - Shamim Qazi
- Department of Maternal Newborn Child and Adolescent Health, World Health Organization, Geneva, Switzerland
| | - Hongju Chen
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of the Ministry of Education, Sichuan University, Chengdu, China
| | - Dezhi Mu
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.,Key Laboratory of Obstetrics & Gynecologic and Pediatric Diseases and Birth Defects of the Ministry of Education, Sichuan University, Chengdu, China
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Hamiltonian Analysis of Subcritical Stochastic Epidemic Dynamics. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2017; 2017:4253167. [PMID: 28932256 PMCID: PMC5592420 DOI: 10.1155/2017/4253167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 06/07/2017] [Accepted: 06/12/2017] [Indexed: 11/23/2022]
Abstract
We extend a technique of approximation of the long-term behavior of a supercritical stochastic epidemic model, using the WKB approximation and a Hamiltonian phase space, to the subcritical case. The limiting behavior of the model and approximation are qualitatively different in the subcritical case, requiring a novel analysis of the limiting behavior of the Hamiltonian system away from its deterministic subsystem. This yields a novel, general technique of approximation of the quasistationary distribution of stochastic epidemic and birth-death models and may lead to techniques for analysis of these models beyond the quasistationary distribution. For a classic SIS model, the approximation found for the quasistationary distribution is very similar to published approximations but not identical. For a birth-death process without depletion of susceptibles, the approximation is exact. Dynamics on the phase plane similar to those predicted by the Hamiltonian analysis are demonstrated in cross-sectional data from trachoma treatment trials in Ethiopia, in which declining prevalences are consistent with subcritical epidemic dynamics.
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Worden L, Porco TC. Products of Compartmental Models in Epidemiology. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2017; 2017:8613878. [PMID: 28900467 PMCID: PMC5576399 DOI: 10.1155/2017/8613878] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2017] [Accepted: 06/28/2017] [Indexed: 11/18/2022]
Abstract
We show that many structured epidemic models may be described using a straightforward product structure in this paper. Such products, derived from products of directed graphs, may represent useful refinements including geographic and demographic structure, age structure, gender, risk groups, or immunity status. Extension to multistrain dynamics, that is, pathogen heterogeneity, is also shown to be feasible in this framework. Systematic use of such products may aid in model development and exploration, can yield insight, and could form the basis of a systematic approach to numerical structural sensitivity analysis.
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Affiliation(s)
- Lee Worden
- Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA
| | - Travis C. Porco
- Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA
- Department of Ophthalmology, University of California, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
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