The History of Malaria in the United States: How It Spread, How It Was Treated, and Public Responses
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Identifying and Combating the Impacts of COVID-19 on Malaria Stephen J
Rogerson et al. BMC Medicine (2020) 18:239 https://doi.org/10.1186/s12916-020-01710-x OPINION Open Access Identifying and combating the impacts of COVID-19 on malaria Stephen J. Rogerson1* , James G. Beeson1,2,3,4, Moses Laman5, Jeanne Rini Poespoprodjo6,7,8,9, Timothy William10,11, Julie A. Simpson12, Ric N. Price13,14,15 and the ACREME Investigators Abstract Background: The COVID-19 pandemic has resulted in millions of infections, hundreds of thousands of deaths and major societal disruption due to lockdowns and other restrictions introduced to limit disease spread. Relatively little attention has been paid to understanding how the pandemic has affected treatment, prevention and control of malaria, which is a major cause of death and disease and predominantly affects people in less well-resourced settings. Main body: Recent successes in malaria control and elimination have reduced the global malaria burden, but these gains are fragile and progress has stalled in the past 5 years. Withdrawing successful interventions often results in rapid malaria resurgence, primarily threatening vulnerable young children and pregnant women. Malaria programmes are being affected in many ways by COVID-19. For prevention of malaria, insecticide-treated nets need regular renewal, but distribution campaigns have been delayed or cancelled. For detection and treatment of malaria, individuals may stop attending health facilities, out of fear of exposure to COVID-19, or because they cannot afford transport, and health care workers require additional resources to protect themselves from COVID-19. Supplies of diagnostics and drugs are being interrupted, which is compounded by production of substandard and falsified medicines and diagnostics. -
Mapping Inequality in Accessibility: a Global Assessment of Travel Time to Cities In
Mapping inequality in accessibility: a global assessment of travel time to cities in 2015 *Weiss, D.J.1, Nelson, A.2, Gibson, H.S.1, Temperley, W.3, Peedell, S.3, Lieber, A.4, Hancher, M.4, Poyart, E.4, Belchior, S.5, Fullman, N.6, Mappin, B.7, Dalrymple, U.1, Rozier, J.1, Lucas, T.C.D.1, Howes, R.E.1, Tusting, L.S.1, Kang, S.Y.1, Cameron, E.1, Bisanzio, D.1, Battle, K.E.1, Bhatt, S.8, Gething, P.W.1 * corresponding author 1 Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FY, UK 2 Department of Natural Resources. ITC - Faculty of Geo-Information Science and Earth Observation of the University of Twente, PO Box 217, AE Enschede 7500, The Netherlands 3 European Commission, Joint Research Centre, Unit D.6 Knowledge for Sustainable Development and Food Security, Via Fermi 2749, Ispra 21027, VA, Italy 4 Google Inc., 1600 Amphitheatre Parkway, Mountain View, CA, 94043, USA 5 Vizzuality, Office D Dales Brewery, Gwydir Street, Cambridge CB1 2LJ, UK 6 Institute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave., Suite 600, Seattle, WA 98121, USA 7 Centre for Biodiversity and Conservation Science, School of Biological Sciences, University of Queensland, St. Lucia, Qld 4072, Australia 8 Department of Infectious Disease Epidemiology, Imperial College London, London W2 1PG, UK The economic and manmade resources that sustain human wellbeing are not distributed evenly across the world, but are instead heavily concentrated in cities. Poor access to opportunities and services offered by urban centers (a function of distance, transport infrastructure, and the spatial distribution of cities) is a major barrier to improved livelihoods and overall development. -
Malaria History
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this site. Copyright 2006, The Johns Hopkins University and David Sullivan. All rights reserved. Use of these materials permitted only in accordance with license rights granted. Materials provided “AS IS”; no representations or warranties provided. User assumes all responsibility for use, and all liability related thereto, and must independently review all materials for accuracy and efficacy. May contain materials owned by others. User is responsible for obtaining permissions for use from third parties as needed. Malariology Overview History, Lifecycle, Epidemiology, Pathology, and Control David Sullivan, MD Malaria History • 2700 BCE: The Nei Ching (Chinese Canon of Medicine) discussed malaria symptoms and the relationship between fevers and enlarged spleens. • 1550 BCE: The Ebers Papyrus mentions fevers, rigors, splenomegaly, and oil from Balantines tree as mosquito repellent. • 6th century BCE: Cuneiform tablets mention deadly malaria-like fevers affecting Mesopotamia. • Hippocrates from studies in Egypt was first to make connection between nearness of stagnant bodies of water and occurrence of fevers in local population. • Romans also associated marshes with fever and pioneered efforts to drain swamps. • Italian: “aria cattiva” = bad air; “mal aria” = bad air. • French: “paludisme” = rooted in swamp. Cure Before Etiology: Mid 17th Century - Three Theories • PC Garnham relates that following: An earthquake caused destruction in Loxa in which many cinchona trees collapsed and fell into small lake or pond and water became very bitter as to be almost undrinkable. Yet an Indian so thirsty with a violent fever quenched his thirst with this cinchona bark contaminated water and was better in a day or two. -
Package 'Malariaatlas'
Package ‘malariaAtlas’ June 1, 2020 Title An R Interface to Open-Access Malaria Data, Hosted by the 'Malaria Atlas Project' Version 1.0.1 Description A suite of tools to allow you to download all publicly available parasite rate survey points, mosquito occurrence points and raster surfaces from the 'Malaria Atlas Project' <https://malariaatlas.org/> servers as well as utility functions for plot- ting the downloaded data. License MIT + file LICENSE Encoding UTF-8 LazyData true Imports curl, rgdal, raster, sp, xml2, grid, gridExtra, httr, dplyr, stringi, tidyr, methods, stats, utils, rlang Depends ggplot2 RoxygenNote 7.0.2 Suggests testthat, knitr, rmarkdown, palettetown, magrittr, tibble, rdhs URL https://github.com/malaria-atlas-project/malariaAtlas BugReports https://github.com/malaria-atlas-project/malariaAtlas/issues VignetteBuilder knitr NeedsCompilation no Author Daniel Pfeffer [aut] (<https://orcid.org/0000-0002-2204-3488>), Tim Lucas [aut, cre] (<https://orcid.org/0000-0003-4694-8107>), Daniel May [aut] (<https://orcid.org/0000-0003-0005-2452>), Suzanne Keddie [aut] (<https://orcid.org/0000-0003-1254-7794>), Jen Rozier [aut] (<https://orcid.org/0000-0002-2610-7557>), Oliver Watson [aut] (<https://orcid.org/0000-0003-2374-0741>), Harry Gibson [aut] (<https://orcid.org/0000-0001-6779-3250>), Nick Golding [ctb], David Smith [ctb] Maintainer Tim Lucas <[email protected]> 1 2 as.MAPraster Repository CRAN Date/Publication 2020-06-01 20:30:11 UTC R topics documented: as.MAPraster . .2 as.MAPshp . .3 as.pr.points . .4 as.vectorpoints . .5 autoplot.MAPraster . .6 autoplot.MAPshp . .7 autoplot.pr.points . .8 autoplot.vector.points . 10 autoplot_MAPraster . 11 convertPrevalence . 13 extractRaster . -
A New Malaria Vector in Africa: Predicting the Expansion Range of Anopheles Stephensi and Identifying the Urban Populations at Risk
A new malaria vector in Africa: Predicting the expansion range of Anopheles stephensi and identifying the urban populations at risk M. E. Sinkaa,1, S. Pirononb, N. C. Masseyc, J. Longbottomd, J. Hemingwayd,1, C. L. Moyesc,2, and K. J. Willisa,b,2 aDepartment of Zoology, University of Oxford, Oxford, United Kingdom, OX1 3SZ; bBiodiversity Informatics and Spatial Analysis Department, Royal Botanic Gardens Kew, Richmond, Surrey, United Kingdom, TW9 3DS; cBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom, OX3 7LF; and dDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom, L3 5QA Edited by Nils Chr. Stenseth, University of Oslo, Norway, and approved July 27, 2020 (received for review March 26, 2020) In 2012, an unusual outbreak of urban malaria was reported from vector species in the published literature and found an equal Djibouti City in the Horn of Africa and increasingly severe out- number of studies (5:5) reported An. arabiensis in polluted, turbid breaks have been reported annually ever since. Subsequent inves- water as were found in clear, clean habitats, with a similar result tigations discovered the presence of an Asian mosquito species; for An. gambiae (4:4). Nonetheless, urban Plasmodium falciparum Anopheles stephensi, a species known to thrive in urban environ- transmission rates are repeatedly reported as significantly lower ments. Since that first report, An. stephensi has been identified in than those in peri-urban or rural areas (7, 10). Hay et al. (10) Ethiopia and Sudan, and this worrying development has prompted conducted a meta-analysis in cities from 22 African countries and the World Health Organization (WHO) to publish a vector alert reported a mean urban annual P. -
Malaria: Bad for Business Why Investing in Ending Malaria Provides Some of the Highest Economic Returns
Malaria: Bad for business Why investing in ending malaria provides some of the highest economic returns. Malaria’s burden on the health and wealth of nations While huge progress has been made in recent years, one of the most striking signs of the global impact of the 215 million cases of malaria reported last year is that up to 40% of public health spending goes on the disease in the most heavily affected countries. But malaria reaches far beyond public health, taking its toll on households, local and multinational business profits, and national economic development. Critically, annual economic growth in countries with high malaria transmission has historically been lower than in countries without malaria. In some African countries, malaria reduces GDP growth up to an estimated 1.3%. Malaria costs productivity. Adults are forced to be absent from work, children miss school, and households spend disproportionately on health when they can least afford it. But it need not be this way. With developing countries, donors and private sector firms beginning to take real action, we can be the generation that ends malaria for good and boosts prosperity for all. The economic growth penalty Malaria’s impact on national economies Malaria and poverty occupy common ground. Where the burden of malaria is highest, economic prosperity is lowest. We know that poverty can promote malaria transmission, and that malaria causes poverty by blocking economic growth. Research shows that malaria can strain national economics, having a deleterious impact on some nations’ GDP by as much as an estimated 5 - 6%. It keeps households in poverty, discourages domestic and foreign investment and tourism, affects land use patterns, and reduces productivity through lost work days and diminished job performance. -
COVID-19 Surveillance Seminar - July 6, 2020
COVID-19 Surveillance Seminar - July 6, 2020 Leveraging Systems for COVID-19 Surveillance Integrated Disease Surveillance and Response (IDSR), Malaria, and Polio Michelle Sloan, Division of Global Health Protection John Painter, Division of Parasitic Diseases and Malaria Wilbrod Mwanje, African Field Epidemiology Network (AFENET), Uganda cdc.gov coronavirus www.cdc.go /corona irus/2019-nco /global-co id-19 Integrated Disease Surveillance and Response (IDSR) . Integrates common sur eillance acti ities across diseases – Identify, Report, Analyze and Interpret, In estigate and Confirm, Prepare, Respond, Communicate, E aluate – Acti ities linked across community, district, and national le els of the health system . Reporting on country identified priority diseases (e.g. case based, aggregate) . Standardized data collection tools and data reporting to district le el . Thresholds defined for public health response . Impro ed data use through routine data analysis Incorporating COVID-19 into IDSR . Include COVID-19 on country priority disease list . De elop COVID-19 reporting tools – Indi idual case report, aggregate reporting form, contact tracing form . Train sur eillance focal points – Case identification using standard case definition – Immediate reporting of suspect cases . Case-based reporting of cases and deaths (aggregate if resources constrained) . Initiate response strategies based on threshold, for example – In estigation and contact tracing for each indi idual case – Population le el inter entions for clusters and outbreaks Leveraging Other IDSR Data . Monitor existing disease sur eillance for signals – Influenza – Malaria – Other fe er producing diseases . Indicators to analyze – Case and death counts – Trends – Geographical spread – Completeness – Timeliness Leveraging Other Disease Surveillance Strategies . Identify potential signals o erall or by region where there might be missed COVID-19 cases – Malaria sur eillance . -
Strengthening Malaria Surveillance for Data- Driven Decision Making in Mozambique
MALARIA CONSORTIUM PROJECT BRIEF Strengthening malaria surveillance for data- driven decision making in Mozambique Accelerating efforts to reduce the malaria burden by improving data quality and use across all transmission strata Background Country Mozambique Although Mozambique has made some progress in scaling up malaria control activities and aligning its malaria elimination efforts with neighbouring countries Donor Bill & Melinda Gates Foundation in southern Africa over the last decade, it remains the fourth largest contributor of malaria cases globally.[1] Length of project May 2019 – May 2022 To accelerate efforts to reduce the malaria burden, Mozambique urgently needs a fit-for-purpose surveillance system to provide the necessary intelligence to identify Partners bottlenecks in malaria control and elimination activities, target interventions more Clinton Health Access Initiative efficiently and respond when the impact of National Malaria Control Programme Goodbye Malaria/LSDI2 activities is jeopardised. Manhica Health Research Centre Ministry of Health A malaria surveillance system is considered functional and responsive when it World Health Organization can produce evidence-based information from quality data that is routinely used Collaborator for planning and decision making. The 2018 national malaria surveillance system U.S. President’s Malaria Initiative assessment identified the following main obstacles: • poor malaria data quality (DQ) and data use (DU) • lack of an integrated malaria information storage system (iMISS) • -
Malaria and COVID-19: Common and Different Findings
Tropical Medicine and Infectious Disease Viewpoint Malaria and COVID-19: Common and Different Findings Francesco Di Gennaro 1 , Claudia Marotta 1,*, Pietro Locantore 2, Damiano Pizzol 3 and Giovanni Putoto 1 1 Operational Research Unit, Doctors with Africa CUAMM, 35121 Padova, Italy; [email protected] (F.D.G.); [email protected] (G.P.) 2 Institute of Endocrinology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; [email protected] 3 Italian Agency for Development Cooperation, Khartoum 79371, Sudan; [email protected] * Correspondence: [email protected] or [email protected] Received: 31 July 2020; Accepted: 3 September 2020; Published: 6 September 2020 Abstract: Malaria and COVID-19 may have similar aspects and seem to have a strong potential for mutual influence. They have already caused millions of deaths, and the regions where malaria is endemic are at risk of further suffering from the consequences of COVID-19 due to mutual side effects, such as less access to treatment for patients with malaria due to the fear of access to healthcare centers leading to diagnostic delays and worse outcomes. Moreover, the similar and generic symptoms make it harder to achieve an immediate diagnosis. Healthcare systems and professionals will face a great challenge in the case of a COVID-19 and malaria syndemic. Here, we present an overview of common and different findings for both diseases with possible mutual influences of one on the other, especially in countries with limited resources. Keywords: malaria; SARS-CoV-2; COVID-19; preparedness; Africa; emergency; pandemic 1. Background On 11 March 2020, the WHO declared the outbreak of SARS-CoV-2 to be a pandemic infection. -
Vector Control: a Cornerstone in the Malaria Elimination Campaign
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector REVIEW 10.1111/j.1469-0691.2011.03664.x Vector control: a cornerstone in the malaria elimination campaign K. Karunamoorthi1,2 1) Unit of Medical Entomology & Vector Control, Department of Environmental Health Science, College of Public Health and Medical Sciences, Jimma University, Jimma, Ethiopia and 2) Research & Development Centre, Bharathiar University, Coimbatore, Tamil Nadu, India Abstract Over many decades, malaria elimination has been considered to be one of the most ambitious goals of the international community. Vector control is a cornerstone in malaria control, owing to the lack of reliable vaccines, the emergence of drug resistance, and unaffordable potent antimalarials. In the recent past, a few countries have achieved malaria elimination by employing existing front-line vector control interventions and active case management. However, many challenges lie ahead on the long road to meaningful accom- plishment, and the following issues must therefore be adequately addressed in malaria-prone settings in order to achieve our target of 100% worldwide malaria elimination and eventual eradication: (i) consistent administration of integrated vector management; (ii) identifi- cation of innovative user and environment-friendly alternative technologies and delivery systems; (iii) exploration and development of novel and powerful contextual community-based interventions; and (iv) improvement of the efficiency and efficacy of existing interven- tions and their combinations, such as vector control, diagnosis, treatment, vaccines, biological control of vectors, environmental man- agement, and surveillance. I strongly believe that we are moving in the right direction, along with partnership-wide support, towards the enviable milestone of malaria elimination by employing vector control as a potential tool. -
The Columbian Exchange: a History of Disease, Food, and Ideas
Journal of Economic Perspectives—Volume 24, Number 2—Spring 2010—Pages 163–188 The Columbian Exchange: A History of Disease, Food, and Ideas Nathan Nunn and Nancy Qian hhee CColumbianolumbian ExchangeExchange refersrefers toto thethe exchangeexchange ofof diseases,diseases, ideas,ideas, foodfood ccrops,rops, aandnd populationspopulations betweenbetween thethe NewNew WorldWorld andand thethe OldOld WWorldorld T ffollowingollowing thethe voyagevoyage ttoo tthehe AAmericasmericas bbyy ChristoChristo ppherher CColumbusolumbus inin 1492.1492. TThehe OldOld WWorld—byorld—by wwhichhich wwee mmeanean nnotot jjustust EEurope,urope, bbutut tthehe eentirentire EEasternastern HHemisphere—gainedemisphere—gained fromfrom tthehe CColumbianolumbian EExchangexchange iinn a nnumberumber ooff wways.ays. DDiscov-iscov- eeriesries ooff nnewew ssuppliesupplies ofof metalsmetals areare perhapsperhaps thethe bestbest kknown.nown. BButut thethe OldOld WWorldorld aalsolso ggainedained newnew staplestaple ccrops,rops, ssuchuch asas potatoes,potatoes, sweetsweet potatoes,potatoes, maize,maize, andand cassava.cassava. LessLess ccalorie-intensivealorie-intensive ffoods,oods, suchsuch asas tomatoes,tomatoes, chilichili peppers,peppers, cacao,cacao, peanuts,peanuts, andand pineap-pineap- pplesles wwereere aalsolso iintroduced,ntroduced, andand areare nownow culinaryculinary centerpiecescenterpieces inin manymany OldOld WorldWorld ccountries,ountries, namelynamely IItaly,taly, GGreece,reece, andand otherother MediterraneanMediterranean countriescountries (tomatoes),(tomatoes), -
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.