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Evaluating malaria prevalence and land cover across varying transmission intensity in Tanzania using a cross-sectional survey of school-aged children
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4651733
Author(s) Mitchell, C. L.; Ngasala, B.; Janko, M. M.; Chacky, F.; Edwards, J. K.; Pence, B. W.; Mohamed, A.; Mhamilawa, L. E.; Makene, T.; Kyaw, T.; Molteni, F.; Mkali, H.; Nyinondi, S.; Kabula, B.; Serbantez, N.; Eckert, E. L.; Kitojo, C.; Reaves, E.; Emch, M.; Juliano, J. J.
Author(s) at UniBasel Molteni, Fabrizio
Year 2022
Title Evaluating malaria prevalence and land cover across varying transmission intensity in Tanzania using a cross-sectional survey of school-aged children
Journal Malar J
Volume 21
Number 1
Pages / Article-Number 80
Keywords Child; Cross-Sectional Studies; Humans; *Malaria/epidemiology; Prevalence; Risk Factors; Tanzania/epidemiology; Land cover; Malaria; Transmission intensity
Mesh terms Child; Cross-Sectional Studies; Humans; Malaria, epidemiology; Prevalence; Risk Factors; Tanzania, epidemiology
Abstract BACKGROUND: Transmission of malaria in sub-Saharan Africa has become increasingly stratified following decades of malaria control interventions. The extent to which environmental and land cover risk factors for malaria may differ across distinct strata of transmission intensity is not well known and could provide actionable targets to maximize the success of malaria control efforts. METHODS: This study used cross-sectional malaria survey data from a nationally representative cohort of school-aged children in Tanzania, and satellite-derived measures for environmental features and land cover. Hierarchical logistic regression models were applied to evaluate associations between land cover and malaria prevalence within three distinct strata of transmission intensity: low and unstable, moderate and seasonal, and high and perennial. RESULTS: In areas with low malaria transmission, each 10-percentage point increase in cropland cover was associated with an increase in malaria prevalence odds of 2.44 (95% UI: 1.27, 5.11). However, at moderate and higher levels of transmission intensity, no association between cropland cover and malaria prevalence was detected. Small associations were observed between greater grassland cover and greater malaria prevalence in high intensity settings (prevalence odds ratio (POR): 1.10, 95% UI: 1.00, 1.21), and between greater forest cover and reduced malaria prevalence in low transmission areas (POR: 0.74, 95% UI: 0.51, 1.03), however the uncertainty intervals of both estimates included the null. CONCLUSIONS: The intensity of malaria transmission appears to modify relationships between land cover and malaria prevalence among school-aged children in Tanzania. In particular, greater cropland cover was positively associated with increased malaria prevalence in areas with low transmission intensity and presents an actionable target for environmental vector control interventions to complement current malaria control activities. As areas are nearing malaria elimination, it is important to re-evaluate environmental risk factors and employ appropriate interventions to effectively address low-level malaria transmission.
ISSN/ISBN 1475-2875 (Electronic)1475-2875 (Linking)
URL https://doi.org/10.1186/s12936-022-04107-8
edoc-URL https://edoc.unibas.ch/90685/
Full Text on edoc Available
Digital Object Identifier DOI 10.1186/s12936-022-04107-8
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/35264152
ISI-Number WOS:000766553300002
Document type (ISI) Journal Article
 
   

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