Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
The relative effect of climate variability on malaria incidence after scale-up of interventions in western Kenya: a time-series analysis of monthly incidence data from 2008 to 2019
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4665576
Author(s) Nyawanda, B. O.; Beloconi, A.; Khagayi, S.; Bigogo, G.; Obor, D.; Otieno, N. A.; Lange, S.; Franke, J.; Sauerborn, R.; Utzinger, J.; Kariuki, S.; Munga, S.; Vounatsou, P.
Author(s) at UniBasel Nyawanda, Bryan
Beloconi, Anton
Utzinger, Jürg
Vounatsou, Penelope
Year 2023
Title The relative effect of climate variability on malaria incidence after scale-up of interventions in western Kenya: a time-series analysis of monthly incidence data from 2008 to 2019
Journal Parasite Epidemiol Control
Volume 21
Pages / Article-Number e00297
Abstract Background Despite considerable progress made over the past 20 years in reducing the global burden of malaria, the disease remains a major public health problem and there is concern that climate change might expand suitable areas for transmission. This study investigated the relative effect of climate variability on malaria incidence after scale-up of interventions in western Kenya. Methods Bayesian negative binomial models were fitted to monthly malaria incidence data, extracted from records of patients with febrile illnesses visiting the Lwak Mission Hospital between 2008 and 2019. Data pertaining to bed net use and socio-economic status (SES) were obtained from household surveys. Climatic proxy variables obtained from remote sensing were included as covariates in the models. Bayesian variable selection was used to determine the elapsing time between climate suitability and malaria incidence. Results Malaria incidence increased by 50% from 2008 to 2010, then declined by 73% until 2015. There was a resurgence of cases after 2016, despite high bed net use. Increase in daytime land surface temperature was associated with a decline in malaria incidence (incidence rate ratio [IRR] = 0.70, 95% Bayesian credible interval [BCI]: 0.59-0.82), while rainfall was associated with increased incidence (IRR = 1.27, 95% BCI: 1.10-1.44). Bed net use was associated with a decline in malaria incidence in children aged 6-59 months (IRR = 0.78, 95% BCI: 0.70-0.87) but not in older age groups, whereas SES was not associated with malaria incidence in this population. Conclusions Variability in climatic factors showed a stronger effect on malaria incidence than bed net use. Bed net use was, however, associated with a reduction in malaria incidence, especially among children aged 6-59 months after adjusting for climate effects. To sustain the downward trend in malaria incidence, this study recommends continued distribution and use of bed nets and consideration of climate-based malaria early warning systems when planning for future control interventions.
ISSN/ISBN 2405-6731
URL https://doi.org/10.1016/j.parepi.2023.e00297
edoc-URL https://edoc.unibas.ch/94556/
Full Text on edoc Available
Digital Object Identifier DOI 10.1016/j.parepi.2023.e00297
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/37021322
ISI-Number WOS:000959333300001
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.489 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
09/05/2024