Literature DB >> 28973253

Identifying Malaria Hot Spots.

Nicholas J White1.   

Abstract

Entities:  

Keywords:  Plasmodium falciparum; epidemiology; malaria

Mesh:

Year:  2017        PMID: 28973253      PMCID: PMC5853899          DOI: 10.1093/infdis/jix330

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


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( A century ago, malaria was prevalent across much of the inhabited world. With improvements in housing, environmental management, access to antimalarial drugs (quinine, followed by chloroquine), and use of the insecticide DDT, malaria was driven from Europe, North America, and the Union of Soviet Socialist Republics. Building on these early successes, the World Health Organization launched the first malaria global eradication campaign in 1955. The campaign failed to eradicate malaria in the tropics, and it was abandoned in 1969. Over the next 3 decades, the incidence of malaria increased again across much of the tropical world [1]. We are now trying again to eliminate malaria. Where effective control measures (artemisinin combination therapies, insecticide-treated nets, and, in some areas, insecticides) are being deployed, malaria incidences are decreasing. In contrast, in difficult-to-reach conflict zones, the supply of even the most basic diagnostic tools and effective antimalarial treatments remains sporadic, and malaria transmission presumably still remains high [2]. In some, more readily accessible parts of Africa, transmission has fallen markedly, and the epidemiology of malaria is beginning to resemble that described traditionally in the Americas and much of Asia [1]. Within these areas of generally low seasonal transmission sit small foci of more intense transmission that sustain malaria [3, 4]. These small foci, referred to “hot spots,” are major impediments to malaria elimination, so their identification is important as countries augment their malaria elimination activities. But how should we identify malaria hot spots in settings of low transmission? Over 80 years ago, the Dutch malariologists showed that, in an area of Plasmodium vivax malaria endemicity in the Netherlands, most of those infected were asymptomatic [5]. They demonstrated that the majority of these “healthy carriers” had microscopy-assessed parasite densities between 1000 and 8000 parasites/mL of blood. No one today can match this degree of microscopy assiduity, but polymerase chain reaction (PCR) analysis provides a satisfactory alternative. PCR studies from several areas of low, unstable malaria transmission have revealed a much higher prevalence of asymptomatic infection than previously estimated from conventional diagnostic assays (ie, microscopy and PfHRP2-based rapid tests). Findings of ultrasensitive quantitative PCR in recent studies from the Greater Mekong subregion suggest that the geometric mean parasite density of both P. vivax and Plasmodium falciparum in these asymptomatic infections approximates 5000 parasites/mL, consistent with observations from the early Dutch work and well below the conventional levels of microscopy detection [6]. In this issue of The Journal of Infectious Diseases, Mogeni et al report a detailed and comprehensive epidemiological evaluation of P. falciparum hot spots on the Kenyan coast, an area where malaria incidence has decreased markedly in recent years [7]. They show that whereas population screening with conventional diagnostic assays is probably sufficient for hot-spot identification in areas of higher transmission, the more sensitive PCR assay is needed to identify hot spots in areas of lower transmission. They conclude that malaria control programs should consider PCR testing for hot-spot identification when the prevalence of malaria parasite infection is low, as it will be en route to elimination [1, 7]. Potentially simpler PfHRP2-based rapid tests with increased sensitivity are being developed, but, as Mogeni et al point out, whether they will be sufficiently sensitive to identify malaria hot spots still remains to be determined. Indeed, whether the current widely used filter paper–based PCR methods, using small blood sample volumes with limits of detection that are close to the geometric mean parasite density in asymptomatic individuals, are sufficiently sensitive to identify all hot spots is also uncertain. And what should be done when the hot spot is identified? The first step (if not already in place) should be provision of access to rapid diagnosis and effective treatment of symptomatic malaria. If it is assumed that everyone has access to an insecticide-treated bed net, should the next step be treatment of everyone living in the hot spot, treatment only of those identified as infected, or treatment of all those in infected households? And then what? There is as yet no consensus, and indeed there probably need to be different strategies for different epidemiological contexts [1]. Unfortunately, time may not be on our side, as worsening antimalarial drug resistance in Southeast Asia and increasing pyrethroid insecticide resistance in Africa threaten the ambitious malaria elimination targets set by many malaria-affected countries.
  6 in total

1.  Identification of hot spots of malaria transmission for targeted malaria control.

Authors:  Teun Bousema; Chris Drakeley; Samwel Gesase; Ramadhan Hashim; Stephen Magesa; Frank Mosha; Silas Otieno; Ilona Carneiro; Jonathan Cox; Eliapendavyo Msuya; Immo Kleinschmidt; Caroline Maxwell; Brian Greenwood; Eleanor Riley; Robert Sauerwein; Daniel Chandramohan; Roly Gosling
Journal:  J Infect Dis       Date:  2010-06-01       Impact factor: 5.226

2.  Global malaria eradication and the importance of Plasmodium falciparum epidemiology in Africa.

Authors:  Robert W Snow
Journal:  BMC Med       Date:  2015-02-03       Impact factor: 8.775

3.  Numerical Distributions of Parasite Densities During Asymptomatic Malaria.

Authors:  Mallika Imwong; Kasia Stepniewska; Rupam Tripura; Thomas J Peto; Khin Maung Lwin; Benchawan Vihokhern; Klanarong Wongsaen; Lorenz von Seidlein; Mehul Dhorda; Georges Snounou; Lilly Keereecharoen; Pratap Singhasivanon; Pasathorn Sirithiranont; Jem Chalk; Chea Nguon; Nicholas P J Day; Francois Nosten; Arjen Dondorp; Nicholas J White
Journal:  J Infect Dis       Date:  2015-12-17       Impact factor: 5.226

4.  Identification of malaria hot spots for focused intervention in tribal state of India: a GIS based approach.

Authors:  Aruna Srivastava; B N Nagpal; P L Joshi; J C Paliwal; A P Dash
Journal:  Int J Health Geogr       Date:  2009-05-20       Impact factor: 3.918

5.  Population coverage of artemisinin-based combination treatment in children younger than 5 years with fever and Plasmodium falciparum infection in Africa, 2003-2015: a modelling study using data from national surveys.

Authors:  Adam Bennett; Donal Bisanzio; Joshua O Yukich; Bonnie Mappin; Cristin A Fergus; Michael Lynch; Richard E Cibulskis; Samir Bhatt; Daniel J Weiss; Ewan Cameron; Peter W Gething; Thomas P Eisele
Journal:  Lancet Glob Health       Date:  2017-04       Impact factor: 26.763

6.  Detecting Malaria Hotspots: A Comparison of Rapid Diagnostic Test, Microscopy, and Polymerase Chain Reaction.

Authors:  Polycarp Mogeni; Thomas N Williams; Irene Omedo; Domtila Kimani; Joyce M Ngoi; Jedida Mwacharo; Richard Morter; Christopher Nyundo; Juliana Wambua; George Nyangweso; Melissa Kapulu; Gregory Fegan; Philip Bejon
Journal:  J Infect Dis       Date:  2017-11-27       Impact factor: 5.226

  6 in total

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