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Spatiotemporal overlapping of dengue, chikungunya, and malaria infections in children in Kenya
by
Okuta, Victoria
, Maina, Priscilla W.
, Chebii, Philip K.
, Khan, Aslam
, Ndenga, Bryson
, Ronga, Charles O.
, LaBeaud, A. Desiree
, Jembe, Zainab
, Grossi-Soyster, Elysse N.
, Bisanzio, Donal
, Mutuku, Francis
in
Analysis
/ Animals
/ Care and treatment
/ Chikungunya fever
/ Chikungunya Fever - epidemiology
/ Chikungunya virus
/ Child
/ Children
/ Community
/ Dengue
/ Dengue - epidemiology
/ Dengue fever
/ Dengue virus
/ Dengue viruses
/ Diagnosis
/ Disease hot spots
/ Disease prevention
/ Distribution
/ Generalized linear models
/ Health aspects
/ Health risks
/ Heterogeneity
/ Households
/ Humans
/ Illnesses
/ Infection
/ Infections
/ Infectious Diseases
/ Internal Medicine
/ Kenya
/ Kenya - epidemiology
/ Laboratories
/ Malaria
/ Malaria - epidemiology
/ Medical Microbiology
/ Medicine
/ Medicine & Public Health
/ Parasitology
/ Prevention
/ Regression analysis
/ Risk factors
/ Seasonal variations (Diseases)
/ Spatial analysis
/ Spatial heterogeneity
/ Tropical Medicine
/ Variables
/ Vector-borne diseases
/ Viruses
2023
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Spatiotemporal overlapping of dengue, chikungunya, and malaria infections in children in Kenya
by
Okuta, Victoria
, Maina, Priscilla W.
, Chebii, Philip K.
, Khan, Aslam
, Ndenga, Bryson
, Ronga, Charles O.
, LaBeaud, A. Desiree
, Jembe, Zainab
, Grossi-Soyster, Elysse N.
, Bisanzio, Donal
, Mutuku, Francis
in
Analysis
/ Animals
/ Care and treatment
/ Chikungunya fever
/ Chikungunya Fever - epidemiology
/ Chikungunya virus
/ Child
/ Children
/ Community
/ Dengue
/ Dengue - epidemiology
/ Dengue fever
/ Dengue virus
/ Dengue viruses
/ Diagnosis
/ Disease hot spots
/ Disease prevention
/ Distribution
/ Generalized linear models
/ Health aspects
/ Health risks
/ Heterogeneity
/ Households
/ Humans
/ Illnesses
/ Infection
/ Infections
/ Infectious Diseases
/ Internal Medicine
/ Kenya
/ Kenya - epidemiology
/ Laboratories
/ Malaria
/ Malaria - epidemiology
/ Medical Microbiology
/ Medicine
/ Medicine & Public Health
/ Parasitology
/ Prevention
/ Regression analysis
/ Risk factors
/ Seasonal variations (Diseases)
/ Spatial analysis
/ Spatial heterogeneity
/ Tropical Medicine
/ Variables
/ Vector-borne diseases
/ Viruses
2023
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Spatiotemporal overlapping of dengue, chikungunya, and malaria infections in children in Kenya
by
Okuta, Victoria
, Maina, Priscilla W.
, Chebii, Philip K.
, Khan, Aslam
, Ndenga, Bryson
, Ronga, Charles O.
, LaBeaud, A. Desiree
, Jembe, Zainab
, Grossi-Soyster, Elysse N.
, Bisanzio, Donal
, Mutuku, Francis
in
Analysis
/ Animals
/ Care and treatment
/ Chikungunya fever
/ Chikungunya Fever - epidemiology
/ Chikungunya virus
/ Child
/ Children
/ Community
/ Dengue
/ Dengue - epidemiology
/ Dengue fever
/ Dengue virus
/ Dengue viruses
/ Diagnosis
/ Disease hot spots
/ Disease prevention
/ Distribution
/ Generalized linear models
/ Health aspects
/ Health risks
/ Heterogeneity
/ Households
/ Humans
/ Illnesses
/ Infection
/ Infections
/ Infectious Diseases
/ Internal Medicine
/ Kenya
/ Kenya - epidemiology
/ Laboratories
/ Malaria
/ Malaria - epidemiology
/ Medical Microbiology
/ Medicine
/ Medicine & Public Health
/ Parasitology
/ Prevention
/ Regression analysis
/ Risk factors
/ Seasonal variations (Diseases)
/ Spatial analysis
/ Spatial heterogeneity
/ Tropical Medicine
/ Variables
/ Vector-borne diseases
/ Viruses
2023
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Spatiotemporal overlapping of dengue, chikungunya, and malaria infections in children in Kenya
Journal Article
Spatiotemporal overlapping of dengue, chikungunya, and malaria infections in children in Kenya
2023
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Overview
Malaria, chikungunya virus (CHIKV), and dengue virus (DENV) are endemic causes of fever among children in Kenya. The risks of infection are multifactorial and may be influenced by built and social environments. The high resolution overlapping of these diseases and factors affecting their spatial heterogeneity has not been investigated in Kenya. From 2014-2018, we prospectively followed a cohort of children from four communities in both coastal and western Kenya. Overall, 9.8% were CHIKV seropositive, 5.5% were DENV seropositive, and 39.1% were malaria positive (3521 children tested). The spatial analysis identified hot-spots for all three diseases in each site and in multiple years. The results of the model showed that the risk of exposure was linked to demographics with common factors for the three diseases including the presence of litter, crowded households, and higher wealth in these communities. These insights are of high importance to improve surveillance and targeted control of mosquito-borne diseases in Kenya.
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