2012
DOI: 10.1016/b978-0-12-394303-3.00001-3
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Malaria Ecotypes and Stratification

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Cited by 27 publications
(29 citation statements)
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“…It is unknown to what extent the varying degrees of population divergence identified here among nonurban locales has led to local adaptation (e.g., Wright, ), and how the now recent secondary contact among these locales, ushered in by urban gene flow across broad geographic distances, has altered these phenotypes. In fact, if selective pressures differ sufficiently among urban and nonurban, and even among nonurban environments, “urban ecotypes” may evolve and easily sweep across geographically distant urban areas as a result of human‐mediated transport (Krtinic, Ludoski, & Milankov, ; Schapira & Boutsika, ). As one example previously noted, our group has documented Western black widow spider behavioural differences between urban and nonurban habitats, where urban spiders are more densely aggregated, larger, and are more aggressive (Johnson, Gburek, & Stevens, ; Johnson et al., ; Trubl et al., ).…”
Section: Discussionmentioning
confidence: 99%
“…It is unknown to what extent the varying degrees of population divergence identified here among nonurban locales has led to local adaptation (e.g., Wright, ), and how the now recent secondary contact among these locales, ushered in by urban gene flow across broad geographic distances, has altered these phenotypes. In fact, if selective pressures differ sufficiently among urban and nonurban, and even among nonurban environments, “urban ecotypes” may evolve and easily sweep across geographically distant urban areas as a result of human‐mediated transport (Krtinic, Ludoski, & Milankov, ; Schapira & Boutsika, ). As one example previously noted, our group has documented Western black widow spider behavioural differences between urban and nonurban habitats, where urban spiders are more densely aggregated, larger, and are more aggressive (Johnson, Gburek, & Stevens, ; Johnson et al., ; Trubl et al., ).…”
Section: Discussionmentioning
confidence: 99%
“…et al, 2015), and therefore, malaria is considered as a local and focal disease (Conn et al, 2015; Dash et al, 2008; Rath, 2004). Several studies involving different ecological and climatic settings have provided evidence that malaria epidemiology can be significantly variable across small eco-climatic scales (Jambulingam et al, 1991; Kaga and Ohta, 2012; Schapira and Boutsika, 2012). For example, malaria epidemiological outcomes including distributional prevalence of mosquito vectors and malaria transmission were correlated with different ecotypes in Nigeria (Okwa et al, 2009), Kenya (Ingasia et al, 2015), Brazil (Rosa-Freitas et al, 2007), Southeast Asia (Seng et al, 1999) and India (Jambulingam et al, 1991; Ramar et al, 2014; Shukla et al, 2007; Singh et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…vector ecology, socio-economic characteristics of the at-risk population) are taken into account when determining locally appropriate mixes of interventions or the appropriateness of implementing reactive case detection on the basis of passively detected cases [2, 26, 27]. In Cambodia the intention is that expert panels at national, province and OD level will screen village-level classifications based on the MIS estimates of incidence and upgrade or downgrade the risk category of specific villages where this is deemed to be appropriate.…”
Section: Discussionmentioning
confidence: 99%
“…Efforts to use malaria stratification to directly guide control and prevention activities date back to the 1940s [1]. Although a wide variety of stratification methodologies and typologies have been used since, most have involved supplementing existing malariometric data with information on the spatial distribution of key determinants of transmission risk including climate, ecology, geomorphology and the presence or abundance of key vector species [2, 3]. In essence this basic framework has not changed substantially over time, although developments in geographical information systems (GIS), remote sensing and geostatistical techniques have led to major advances in the sophistication and reproducibility of spatial risk estimates [4, 5].…”
Section: Introductionmentioning
confidence: 99%