Ethical Issues Associated with Vector-Borne Diseases
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Better Together TNVR and Public Health APHA 11-13-18.Pdf
Better Together: TNVR and Public Health 11/13/2018 Presenter Disclosures Introduction Better Together TNVR and public health Peter J. Wolf and G. Robert Weedon • TNVR: trap-neuter-vaccinate-return G. Robert Weedon, DVM, MPH Clinical Assistant Professor and Service Head (Retired) Shelter Medicine, College of Veterinary Medicine University of Illinois • Emphasis on the “V” Peter J. Wolf, MS Research/Policy Analyst – Vaccination Best Friends Animal Society Have no relationships to disclose • Emphasizes the public health aspect of TNVR programs • Vaccinating against rabies as a means of protecting the health of the public Introduction TNVR TNVR • Why TNVR? • Why TNVR? – The only humane way to – More than half of impounded cats are euthanized deal with the problem of due to shelter crowding, shelter-acquired disease free-roaming (feral, or feral behavior animal welfareTNVR public health community) cats – TNVR, an alternative to shelter impoundment, – When properly applied, improves cat welfare and reduces the size of cat TNVR has been shown to colonies control/reduce populations rabies prevention of free-roaming cats Levy, J. K., Isaza, N. M., & Scott, K. C. (2014). Effect of high-impact targeted trap-neuter-return and adoption Levy, J. K., Isaza, N. M., & Scott, K. C. (2014). Effect of high-impact targeted trap-neuter-return and adoption of community cats on cat intake to a shelter. The Veterinary Journal, 201(3), 269–274. of community cats on cat intake to a shelter. The Veterinary Journal, 201(3), 269–274. TNVR TNVR TNVR • Why TNVR? • Why -
Burden of Disease: What Is It and Why Is It Important for Safer Food?
Burden of disease: what is it and why is it important for safer food? What is ‘burden of disease’? Burden of disease is concept that was developed in the 1990s by the Harvard School of Public Health, the World Bank and the World Health Organization (WHO) to describe death and loss of health due to diseases, injuries and risk factors for all regions of the world.1 The burden of a particular disease or condition is estimated by adding together: • the number of years of life a person loses as a consequence of dying early because of the disease (called YLL, or Years of Life Lost); and • the number of years of life a person lives with disability caused by the disease (called YLD, or Years of Life lived with Disability). Adding together the Years of Life Lost and Years of Life lived with Disability gives a single-figure estimate of disease burden, called the Disability Adjusted Life Year (or DALY). One DALY represents the loss of one year of life lived in full health (see text box for more explanation and examples). Looking at burden of disease using DALYs can reveal surprises about a population’s health. For example, the Global Burden of Disease 2004 Update suggests that neuropsychiatric conditions are the most important causes of disability in all regions of the world, accounting for around 33% of all years lived with disability among adults aged 15 years and over, but only 2.2% of deaths.2 Therefore while psychiatric disorders are not traditionally regarded as having a major impact on the health of populations, this picture is completely altered when the burden of disease is estimated using DALYs. -
E Abstracts with Advt 12.02.2019
International Conference ee ABSTRACTSABSTRACTS Goa, 13th - 16th February, 2019 Organizers Society for Vector Ecology (Indian Region) and ICMR - National Institute of Malaria Research, FU, Goa I N D E X S.No. Name of the Delegate Page No. S.No. Name of the Delegate Page No. 1 A. N. Anoopkumar 45 42 Narayani Prasad Kar 50 2 Agenor Mafra-Neto 40 43 Naren babu N 63 3 Ajeet Kumar Mohanty 72 44 Naveen Rai Tuli 10-11 4 Alex Eapen 17 45 Neil Lobo 23 5 Algimantas Paulauskas 33 46 Nidhish G 65 6 Aneesh Embalil Mathachan 46 47 Norbert Becker 12 7 Aneesh Embalil Mathachan 28 48 O.P. Singh 78 8 Anju Viswan K 64 49 P. K. Rajagopalan 2-9 9 Ankita Sindhania 62 50 P. K. Sumodan 30 10 Ashwani Kumar 25 51 Paulo F. P. Pimenta 27 11 Ayyadevera Rambabu 29 52 Poonam Singh 90 12 Bhavana Gupta 43 53 Pradeep Kumar Shrivastava 20 13 Charles Reuben Desouza 89 54 R. S. Sharma 22 14 Dan Kline 37 55 R.K. Dasgupta 21 15 Deepa Jha 61 56 Rajendra Thapar 76 16 Deeparani K. Prabhu 68 57 Rajnikant Dixit 74 17 Devanathan Sukumaran 82 58 Rajpal Singh Yadav 1 18 Devi Shankar Suman 16 59 Raju Parulkar 84 19 Farah Ishtiaq 36 60 Rakhi Dhawan 73 20 Gourav Dey 88 61 Ramesh C Dhiman 32 21 Gunjan Sharma 86 62 Ranjana Rani 42 22 Hanno Schmidt 18 63 Roop Kumari 19 23 Hemachandra Bhovi 75 64 S. R. Pandian 49 24 Hemanth Kumar 53 65 Sajal Bhattacharya 31 25 Jagbir Singh 34 66 Sam Siao Jing 77 26 Jitender Gawade 83 67 Sanchita Bhattacharaya 56 27 John E. -
Defining Malaria Burden from Morbidity and Mortality Records, Self Treatment Practices and Serological Data in Magugu, Babati District, Northern Tanzania
Tanzania Journal of Health Research Volume 13, Number 2, April 2011 Defining malaria burden from morbidity and mortality records, self treatment practices and serological data in Magugu, Babati District, northern Tanzania CHARLES MWANZIVA1*, ALPHAXARD MANJURANO2, ERASTO MBUGI3, CLEMENT MWEYA4, HUMPHREY MKALI5, MAGGIE P. KIVUYO6, ALEX SANGA7, ARNOLD NDARO1, WILLIAM CHAMBO8, ABAS MKWIZU9, JOVIN KITAU1, REGINALD KAVISHE11, WIL DOLMANS10, JAFFU CHILONGOLA1 and FRANKLIN W. MOSHA1 1Kilimanjaro Clinical Research Institute, P. O. Box 2236, Moshi, Tanzania 2Joint Malaria Programme, Moshi, Tanzania 3Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania 4Tukuyu Medical Research Centre, Tukuyu, Tanzania 5Tabora Medical Research Centre, Tabora, Tanzania 6Ngongongare Medical Research Station, Usa River, Tanzania 7St. John University of Tanzania, Dodoma, Tanzania 8Amani Medical Research Centre, Muheza, Tanzania 9Magugu Health Centre, Babati, Manyara, Tanzania 10 Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands Abstract: Malaria morbidity and mortality data from clinical records provide essential information towards defining disease burden in the area and for planning control strategies, but should be augmented with data on transmission intensity and serological data as measures for exposure to malaria. The objective of this study was to estimate the malaria burden based on serological data and prevalence of malaria, and compare it with existing self-treatment practices in Magugu in Babati District of northern Tanzania. Prospectively, 470 individuals were selected for the study. Both microscopy and Rapid Diagnostic Test (RDT) were used for malaria diagnosis. Seroprevalence of antibodies to merozoite surface proteins (MSP- 119) and apical membrane antigen (AMA-1) was performed and the entomological inoculation rate (EIR) was estimated. To complement this information, retrospective data on treatment history, prescriptions by physicians and use of bed nets were collected. -
Risk, Overdiagnosis and Ethical Justifications
Health Care Analysis (2019) 27:231–248 https://doi.org/10.1007/s10728-019-00369-7 ORIGINAL ARTICLE Risk, Overdiagnosis and Ethical Justifcations Wendy A. Rogers1 · Vikki A. Entwistle2 · Stacy M. Carter3 Published online: 4 May 2019 © The Author(s) 2019 Abstract Many healthcare practices expose people to risks of harmful outcomes. However, the major theories of moral philosophy struggle to assess whether, when and why it is ethically justifable to expose individuals to risks, as opposed to actually harming them. Sven Ove Hansson has proposed an approach to the ethical assessment of risk imposition that encourages attention to factors including questions of justice in the distribution of advantage and risk, people’s acceptance or otherwise of risks, and the scope individuals have to infuence the practices that generate risk. This paper investigates the ethical justifability of preventive healthcare practices that expose people to risks including overdiagnosis. We applied Hansson’s framework to three such practices: an ‘ideal’ breast screening service, a commercial personal genome testing service, and a guideline that lowers the diagnostic threshold for hypertension. The framework was challenging to apply, not least because healthcare has unclear boundaries and involves highly complex practices. Nonetheless, the framework encouraged attention to issues that would be widely recognised as morally pertinent. Our assessment supports the view that at least some preventive healthcare practices that impose risks including that of overdiagnosis are not ethically justifable. Further work is however needed to develop and/or test refned assessment criteria and guid‑ ance for applying them. Keywords Overdiagnosis · Risk · Uncertainty · Harm · Ethics · Risk evaluation * Wendy A. -
Diseases of Poverty and the 10/90 Gap Diseases of Poverty and the 10/90 Gap Diseases of Poverty and the 10/90 Gap
Diseases of poverty and the 10/90 gap Diseases of poverty and the 10/90 Gap Diseases of poverty and the 10/90 Gap Written by Philip Stevens, Director of Health Projects, International Policy Network November 2004 International Policy Network Third Floor, Bedford Chambers The Piazza London WC2E 8HA UK t : +4420 7836 0750 f: +4420 7836 0756 e: [email protected] w : www.policynetwork.net © International Policy Network 2004 Designed and typeset in Latin 725 by MacGuru Ltd [email protected] Cover design by Sarah Hyndman Printed in Great Britain by Hanway Print Centre 102–106 Essex Road Islington N1 8LU All rights reserved. Without limiting the rights under copyright reserved above, no part of this publication may be reproduced, stored or introduced into a retrieval system, or transmitted, in any form or by any means (electronic, mechanical, photocopying, recording or otherwise) without the prior written permission of both the copyright owner and the publisher of this book. Diseases of poverty and the 10/90 Gap Introduction: What is the 10/90 Gap? Figure 1 Number of daily deaths from diseases7 Activists claim that only 10 per cent of global health research is devoted to conditions that account for 90 Respiratory 10,814 per cent of the global disease burden – the so-called infections 1 ‘10/90 Gap’. They argue that virtually all diseases HIV/ 7,852 AIDS prevalent in low income countries are ‘neglected’ Diarrhoeal 5,482 and that the pharmaceutical industry has invested diseases almost nothing in research and development (R&D) Tuberculosis 4,504 for these diseases. -
Human Resource for Health Migration: an Analysis from the Perspective of Utilitarianism Rupesh Gautam University of Southern Denmark, [email protected]
Online Journal of Health Ethics Volume 12 | Issue 1 Article 5 Human Resource for Health Migration: An Analysis from the Perspective of Utilitarianism Rupesh Gautam University of Southern Denmark, [email protected] Pawan Acharya University of Southern Denmark, [email protected] Follow this and additional works at: http://aquila.usm.edu/ojhe Recommended Citation Gautam, R., & Acharya, P. (2016). Human Resource for Health Migration: An Analysis from the Perspective of Utilitarianism. Online Journal of Health Ethics, 12(1). http://dx.doi.org/10.18785/ ojhe.1201.05 This Article is brought to you for free and open access by The Aquila Digital Community. It has been accepted for inclusion in Online Journal of Health Ethics by an authorized administrator of The Aquila Digital Community. For more information, please contact [email protected]. Human Resource for Health Migration: An Analysis from the Perspective of Utilitarianism Introduction Medical brain drain or health-worker migration is a part of what has been labeled a global health workforce crisis and is characterized by the migration of trained and skilled health workers (doctors, nurses, and midwives) from low-income countries to high-income countries. It leads to loss in human capital for the developing countries, uneven distribution of those professionals between the affluent and poor countries and more severe suffering for the latter, due to the heavy disease burden (Kollar & Buyx, 2013; WHO, 2006). According to an estimate by WHO, a healthcare system is considered unable to deliver essential health services if it operates with fewer than 23 health workers (doctors, nurses, or midwives) for every 10,000 members of its population (WHO, 2006). -
Why Neglected Tropical Diseases Matter in Reducing Poverty 1.42 MB
July 2013 Working Paper 03 Why neglected tropical diseases matter in reducing poverty Fiona Samuels and Romina Rodríguez Pose • Neglected tropical diseases (NTDs) have a direct impact on the achievement This and other Development of the Millennium Development Goals (MDGs). Without addressing these Progress materials are available at Key diseases, the broader aim of poverty alleviation is unlikely to be achieved. developmentprogress.org messages • Straightforward and highly cost-effective strategies are available to control Development Progress is an ODI project and eventually eradicate or eliminate NTDs. that aims to measure, understand and communicate where and how progress • Success in controlling, eliminating or eradicating NTDs depends on has been made in development. partnerships between multiple constituencies that enable countries to adapt international guidelines to local contexts, integrate NTD programmes into ODI is the UK’s leading independent think tank on international development health systems and engage communities in implementation. and humanitarian issues. Further ODI materials are available at odi.org.uk Introduction indicators specific to them (Molyneux, 2008). While neglected tropical diseases (NTDs) One possible explanation for have been recognised for centuries – international disinterest is that NTDs indeed as ‘biblical plagues’ – NTDs have, almost exclusively affect the developing as the name implies, remained below the world (though this is also true for malaria) radar of most international and national and are not likely to spread far beyond; policy-makers. indeed, many NTDs have disappeared This relative neglect can be seen in completely in the developed world due examining the Millennium Development to improved hygiene and sanitation Goal (MDG) framework: while NTDs standards. -
Deworming on Literacy and Numeracy: Evidence from Uganda
The long run effects of early childhood deworming on literacy and numeracy: Evidence from Uganda Kevin Croke Department of Global Health and Population, Harvard School of Public Health [email protected] This version July 17, 2014 Acknowledgements: Thanks to Owen Ozier, for suggesting the Uganda deworming project as a candidate for long run follow up and for providing the list of treatment and control parishes; to Harold Alderman and Günther Fink for valuable feedback; and to seminar participants at the Harvard School of Public Health. 1 Abstract: This paper analyzes the long run impact of a cluster-randomized trial in eastern Uganda that provided mass deworming treatment to a sample of preschool aged children from 2000 to 2003. An early impact evaluation of this intervention found that the treatment group, comprised of children aged 1-7, showed increased weight gain compared to controls (Alderman et al. 2007). Since there is now a large literature linking early life health, often proxied by weight, to long run outcomes (including cognitive, educational, health, and labor market outcomes), I use data collected in these communities 7-8 years after the end of the deworming trial to see whether children in treatment communities have higher scores than children in control communities on simple numeracy and literacy tests. I find that children who lived in treatment communities during the period in question have test scores 0.2-0.4 standard deviations higher than those in control parishes. Effects are larger for math than for English literacy scores. The effect is robust to a wide range of alternate specifications and inclusion of socioeconomic control variables, and to a placebo treatment test. -
Reducing Health Risks Through Sound Management of Pesticides Project Report
REDUCING HEALTH RISKS THROUGH SOUND MANAGEMENT OF PESTICIDES PROJECT REPORT WORLD HEALTH ORGANIZATION CONTROL OF NEGLECTED TROPICAL DISEASES (NTD) WHO PESTICIDE EVALUATION SCHEME (WHOPES) iv 1 REDUCING HEALTH RISKS THROUGH SOUND MANAGEMENT OF PESTICIDES PROJECT REPORT WORLD HEALTH ORGANIZATION CONTROL OF NEGLECTED TROPICAL DISEASES (NTD) WHO PESTICIDE EVALUATION SCHEME (WHOPES) 2 WHO Library Cataloguing-in-Publication Data : Reducing health risks through sound management of pesticides: project report. 1.Pest Control, Biological. 2.Pesticides - standards. 3.Harzardous substances. 4.Waste management. 5.Public health – legislation and jurisprudence. I.World Health Organization. ISBN 978 92 4 150610 6 (NLM classification: WA 240) © World Health Organization 2013 All rights reserved. Publications of the World Health Organization are available on the WHO web site (www.who.int) or can be purchased from WHO Press, World Health Organization, 20 Avenue Appia, 1211 Geneva 27, Switzerland (tel.: +41 22 791 3264; fax: +41 22 791 4857; e-mail: [email protected]). Requests for permission to reproduce or translate WHO publications –whether for sale or for non-commercial distribution– should be addressed to WHO Press through the WHO web site (www.who.int/about/licensing/copyright_form/en/index.html). The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the World Health Organization concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Dotted lines on maps represent approximate border lines for which there may not yet be full agreement. -
BCIL Vector Biology PDF.Pdf
Vector Biology and Control An Update for Malaria Elimination Initiative in India Edited by Vas Dev M.Sc. (Hons.), Ph.D (Notre Dame), FNASc The National Academy of Sciences, India 2020 Vector Biology and Control: An Update for Malaria Elimination Initiative in India Edited by Vas Dev Contributors Sylvie Manguin, Vas Dev, Surya Kant Sharma, Rajpal Singh Yadav, Kamaraju Raghavendra, Poonam Sharma Velamuri, Vaishali Verma, Sreehari Uragayala, Susanta Kumar Ghosh, Khageswar Pradhan, Vijay Veer, Varun Tyagi, Manoj Kumar Das, Pradyumna Kishore Mohapatra, Ashwani Kumar, K. Hari Krishan Raju, Anupkumar Anvikar, Chazhoor John Babu, Virendra Kumar Dua, Tapan Kumar Barik, Usha Rani Acharya, Debojit Kumar Sarma, Dibya Ranjan Bhattacharyya, Anil Prakash, Nilanju Pran Sarmah Copyright © 2020 NASI Individual chapters of this book are open access under the terms of the Creative Commons Attribution 3.0 Licence (http://creativecommons.org/licenses/by/3.0) which permits users download, build upon published article, distribution, reproduction in any medium so long as the author(s) and publisher are properly credited. The author(s) have the right to reproduce their contribution in toto or part thereof for wider dissemination provided they explicitly identify the original source. All rights to the book are reserved by the National Academy of Sciences (NASI), India. The book as a whole (compilation) cannot be reproduced, distributed, or used for commercial purposes without NASI written permission. Enquiries concerning the use of the book be directed to NASI ([email protected]). Violations are liable to be prosecution under the governing Copyright law. Notice Statement and opinions expressed in the chapter are those of the contributor(s) and not necessarily those of the Editor or Publisher or the Organization. -
Download Report
REPORT 7TH FAO/WHO JOINT MEETING ON PESTICIDE MANAGEMENT and 9TH SESSION OF THE FAO PANEL OF EXPERTS ON PESTICIDE MANAGEMENT 15–18 October 2013 Geneva Contents ABBREVIATIONS ........................................................................................................................................ 3 1. INTRODUCTION ................................................................................................................................ 6 2. OPENING OF THE MEETING ........................................................................................................... 7 3. ELECTION OF THE CHAIRPERSON AND RAPPORTEURS ........................................................ 7 4. ADOPTION OF THE AGENDA .......................................................................................................... 8 5. DECLARATION OF INTEREST ......................................................................................................... 8 6. TERMS OF REFERENCE OF THE JMPM ......................................................................................... 8 7. DEVELOPMENTS SINCE THE PREVIOUS SESSION OF THE JMPM ........................................ 8 7.1 UNEP ................................................................................................................................................... 8 7.2 FAO ...................................................................................................................................................... 9 7.3 WHO .................................................................................................................................................