2016
DOI: 10.1186/s40249-016-0135-8
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Spatial patterns and secular trends in human leishmaniasis incidence in Morocco between 2003 and 2013

Abstract: BackgroundFew studies on spatial patterns or secular trends in human leishmanias have been conducted in Morocco. This study aimed to examine spatial patterns and trends associated with the human leishmaniasis incidence rate (HLIR) at the province/prefecture level between 2003 and 2013 in Morocco.MethodsOnly the available published country data on the HLIR between 2003 and 2013, from the open access files of the Ministry of Health, were used. Secular trends were examined using Kendall’s rank correlation. An exp… Show more

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Cited by 23 publications
(22 citation statements)
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“…Anselin's Local Moran I shows the extent of spatial autocorrelation (20,(24)(25)(26): significantly positive values indicate that the township and neighboring townships were similarly high or similarly low (high-high or lowlow), whereas significantly negative values indicate that a township and the neighboring townships were dissimilar (high-low or low-high). In this study, we defined high-high and high-low townships as high-risk clusters for incidence of severe HFMD and proportion of severe HFMD cases; low-low and low-high townships were defined as low-risk clusters.…”
Section: Discussionmentioning
confidence: 99%
“…Anselin's Local Moran I shows the extent of spatial autocorrelation (20,(24)(25)(26): significantly positive values indicate that the township and neighboring townships were similarly high or similarly low (high-high or lowlow), whereas significantly negative values indicate that a township and the neighboring townships were dissimilar (high-low or low-high). In this study, we defined high-high and high-low townships as high-risk clusters for incidence of severe HFMD and proportion of severe HFMD cases; low-low and low-high townships were defined as low-risk clusters.…”
Section: Discussionmentioning
confidence: 99%
“…However the Global Moran's I spatial autocorrelation analysis only evaluates the distribution characteristics of the disease in several specific time points. Moreover, this method can not estimate the risk level of high-risk cluster areas [8][9][10][11]. It is a known fact that time is a critical confounder that might directly bias the determination of the high-risk regions of TB.…”
Section: Introductionmentioning
confidence: 99%
“…CL due to L. major has recently led to important epidemics. The Errachidia province in southeastern Morocco has seen an epidemic peak in most of its districts between 2008 and 2010 [18, 19]. The most affected age group was those aged between 11 and 20 years, which is rarely studied in literature.…”
Section: Introductionmentioning
confidence: 99%