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The spatial epidemiology of leprosy in Kenya: A retrospective study
- Source :
- PLoS Neglected Tropical Diseases, PLoS Neglected Tropical Diseases, Vol 13, Iss 4, p e0007329 (2019)
- Publication Year :
- 2018
-
Abstract
- Background Leprosy elimination defined as a registered prevalence rate of less than 1 case per 10,000 persons was achieved in Kenya at the national level in 1989. However, there are still pockets of leprosy in some counties where late diagnosis and consequent physical disability persist. The epidemiology of leprosy in Kenya for the period 2012 through to 2015 was defined using spatial methods. Methods This was a retrospective ecological correlational study that utilized leprosy case based data extracted from the National Leprosy Control Program database. Geographic information system and demographic data were obtained from Kenya National Bureau of Statistics (KNBS). Chi square tests were carried out to check for association between sociodemographic factors and disease indicators. Two Spatial Poisson Conditional Autoregressive (CAR) models were fitted in WinBUGS 1.4 software. The first model included all leprosy cases (new, retreatment, transfers from another health facility) and the second one included only new leprosy cases. These models were used to estimate leprosy relative risks per county as compared to the whole country i.e. the risk of presenting with leprosy given the geographical location. Principal findings Children aged less than 15 years accounted for 7.5% of all leprosy cases indicating active leprosy transmission in Kenya. The risk of leprosy notification increased by about 5% for every 1 year increase in age, whereas a 1% increase in the proportion of MB cases increased the chances of new leprosy case notification by 4%. When compared to the whole country, counties with the highest risk of leprosy include Kwale (relative risk of 15), Kilifi (RR;8.9) and Homabay (RR;4.1), whereas Turkana had the lowest relative risk of 0.005. Conclusion Leprosy incidence exhibits geographical variation and there is need to institute tailored local control measures in these areas to reduce the burden of disability.<br />Author summary Leprosy is a chronic bacterial disease that mainly affects the nerves. If untreated, it may cause progressive and permanent damage to the skin, nerves, limbs, and eyes leading to physical disability. Through use of a combination of drugs, Kenya was able to declare the disease as eliminated in the year 1989. However, there are still pockets of leprosy in some Kenyan counties where physical disability persists, mainly due to late diagnosis. To be able to curb this disease, control measures must be intensified, especially in the counties reporting more cases. We used data of the leprosy cases reported in Kenya for the period 2012 through to 2015 in order to describe geographical variation and factors influencing this variation. More than half of the registered cases had visible physical disability. The risk of leprosy notification increased with an increase in age as well as the severity of disease. We estimated that people living in Kwale, Kilifi and Homabay counties are 15, 9, and 5 times respectively more at risk of leprosy as compared to the whole country. Given the limited resources, it’s therefore paramount that high risk counties be initially targeted for control, with a focus on early diagnosis.
- Subjects :
- 0301 basic medicine
Male
Bacterial Diseases
Physical disability
Spatial methods
Databases, Factual
Epidemiology
RC955-962
Prevalence
Marine and Aquatic Sciences
Chi Square Tests
Geographical Locations
0302 clinical medicine
Mathematical and Statistical Techniques
Arctic medicine. Tropical medicine
Medicine and Health Sciences
Public and Occupational Health
Poisson Distribution
Child
Aged, 80 and over
Incidence
Statistics
Spatial epidemiology
Middle Aged
Infectious Diseases
Late diagnosis
Child, Preschool
Population Surveillance
Physical Sciences
Epidemiology of leprosy
Female
Leprosy
Public aspects of medicine
RA1-1270
Research Article
Neglected Tropical Diseases
Freshwater Environments
Adult
Adolescent
030231 tropical medicine
Research and Analysis Methods
03 medical and health sciences
Young Adult
Age Distribution
medicine
Humans
Tuberculosis
Sex Distribution
Statistical Methods
Disease Notification
Statistical Hypothesis Testing
Aged
Retrospective Studies
Spatial Analysis
Chi-Square Distribution
business.industry
Ecology and Environmental Sciences
Public Health, Environmental and Occupational Health
Infant, Newborn
Infant
Aquatic Environments
Retrospective cohort study
Bodies of Water
medicine.disease
Tropical Diseases
Kenya
Health Care
Lakes
030104 developmental biology
Health Care Facilities
Medical Risk Factors
People and Places
Africa
Earth Sciences
business
Mathematics
Demography
Subjects
Details
- ISSN :
- 19352735
- Volume :
- 13
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- PLoS neglected tropical diseases
- Accession number :
- edsair.doi.dedup.....3c5133594d07b91e2dc0c305b8ab9fe6