ArticleInfectious diseases of poverty2016
Spatial patterns and secular trends in human leishmaniasis incidence in Morocco between 2003 and 2013.
Article in Infectious diseases of poverty, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Spatial epidemiological analysis of chronic obstructive pulmonary disease in Qingdao City, China.Respiratory research · 2026Article
- Spatial Epidemiological Analysis of Keshan Disease in China.Annals of global health · 2022Article
- A County-Level Spatial Study of Serum Selenoprotein P and Keshan Disease.Frontiers in nutrition · 2022Article
- Environmental factors and spatiotemporal distribution of Japanese encephalitis after vaccination campaign in Guizhou Province, China (2004-2016).BMC infectious diseases · 2021Article
- Cases and distribution of visceral leishmaniasis in western São Paulo: A neglected disease in this region of Brazil.PLoS neglected tropical diseases · 2021Article
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- Transmission dynamics of brucellosis: Mathematical modelling and applications in China.Computational and structural biotechnology journal · 2020Review
- Effectiveness of Paromomycin on Cutaneous Leishmaniasis in Iran: A Systematic Review and Meta-Analysis.Iranian journal of medical sciences · 2019Review
- Identification of priority areas for surveillance of cutaneous leishmaniasis using spatial analysis approaches in Southeastern Brazil.BMC infectious diseases · 2019Article
- Genetic polymorphism in Leishmania infantum isolates from human and animals determined by nagt PCR-RFLP.Infectious diseases of poverty · 2018Article
- Spatiotemporal distribution and predictors of tuberculosis incidence in Morocco.Infectious diseases of poverty · 2018Article
- Using the Kulldorff's scan statistical analysis to detect spatio-temporal clusters of tuberculosis in Qinghai Province, China, 2009-2016.BMC infectious diseases · 2017Article
- Temporal and spatial distribution characteristics in the natural plague foci of Chinese Mongolian gerbils based on spatial autocorrelation.Infectious diseases of poverty · 2017Article
- Psychosocial impact of scars due to cutaneous leishmaniasis on high school students in Errachidia province, Morocco.Infectious diseases of poverty · 2017Article
- "The mosquitoes that destroy your face". Social impact of Cutaneous Leishmaniasis in South-eastern Morocco, A qualitative study.PloS one · 2017Article
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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 exploratory spatial data analysis was also conducted to examine the spatial autocorrelation (Global Moran's I and local indicator of spatial association [LISA]), and spatial diffusion at the province/prefecture level. The influence of various covariates (poverty rate, vulnerability rate, population density, and urbanization) on the HLIR was tested via spatial regression (ordinary least squares regression).
resultsAt the country level, no secular variation was observed. Poisson annual incidence rate estimates were 13 per 100 000 population (95 % CI = 12.9-13.1) for cutaneous leishmaniasis (CL) and 0.4 per 100 000 population (95 % CI = 0.4-0.5) for visceral leishmaniasis (VL). The available data on HLIR were based on combined CL and VL cases, however, as the CL cases totally outnumbered the VL ones, HLIR may be considered as CL incidence rate. At the provincial level, a secular increase in the incidence rate was observed in Al Hoceima (P = 0.008), Taounate (P = 0.04), Larache (P = 0.002), Tétouan (P = 0.0003), Khenifra (P = 0.008), Meknes (P = 0.03), and El Kelaa (P = 0.0007), whereas a secular decrease was observed only in the Chichaoua province (P = 0.006). Even though increased or decreased rate was evident in these provinces, none of them showed clustering of leishmaniasis incidence. Significant spatial clusters of high leishmaniasis incidence were located in the northeastern part of Morocco, while spatial clusters of low leishmaniasis incidence were seen in some northwestern and southern parts of Morocco; there was spatial randomness in the remaining parts of the country. Significant clustering was seen from 2005 to 2013, during which time the Errachidia province was a permanent 'hot spot'. Global Moran's I increased from 0.2844 (P = 0.006) in 2005 to 0.5886 (P = 0.001) in 2011, and decreased to 0.2491 (P = 0.004) in 2013. It was found that only poverty had an effect on the HLIR (P = 0.0003), contributing only 23 % to this (Adjusted R-squared = 0.226).
conclusionLocalities showing either secular increase in human leishmaniasis or significant clustering have been identified, which may guide decision-making as to where to appropriately allocate funding and implement control measures. Researchers are also urged to undertake further studies focusing on these localities.
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