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AuthorADEGBOYE, O. A.
AuthorAL-SAGHIR, M.
AuthorLEUNG, D. H. Y.
Available date2017-03-12T09:59:51Z
Publication Date2017-03
Publication NameEpidemiology and Infection
Identifierhttp://dx.doi.org/10.1017/S0950268816002764
CitationADEGBOYE, O. A., AL-SAGHIR, M. and LEUNG, D. H. Y. (2017) “Joint spatial time-series epidemiological analysis of malaria and cutaneous leishmaniasis infection”, Epidemiology and Infection, 145(4), pp.685–700.
ISSN0950-2688
URIhttp://hdl.handle.net/10576/5356
AbstractMalaria and leishmaniasis are among the two most important health problems of many developing countries especially in the Middle East and North Africa. It is common for vector-borne infectious diseases to have similar hotspots which may be attributed to the overlapping ecological distribution of the vector. Hotspot analyses were conducted to simultaneously detect the location of local hotspots and test their statistical significance. Spatial scan statistics were used to detect and test hotspots of malaria and cutaneous leishmaniasis (CL) in Afghanistan in 2009. A multivariate negative binomial model was used to simultaneously assess the effects of environmental variables on malaria and CL. In addition to the dependency between malaria and CL disease counts, spatial and temporal information were also incorporated in the model. Results indicated that malaria and CL incidence peaked at the same periods. Two hotspots were detected for malaria and three for CL. The findings in the current study show an association between the incidence of malaria and CL in the studied areas of Afghanistan. The incidence of CL disease in a given month is linked with the incidence of malaria in the previous month. Co-existence of malaria and CL within the same geographical area was supported by this study, highlighting the presence and effects of environmental variables such as temperature and precipitation. People living in areas with malaria are at increased risk for leishmaniasis infection. Local healthcare authorities should consider the co-infection problem by recommending systematic malaria screening for all CL patients.
Languageen
PublisherCambridge University Press
SubjectCo-infection
cutaneous leishmaniasis
malaria
negative binomial
overdispersion
spatio-temporal
TitleJoint spatial time-series epidemiological analysis of malaria and cutaneous leishmaniasis infection
TypeArticle
Pagination685–700
Issue Number4
Volume Number145
ESSN1469-4409


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