FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1985102022> ?p ?o ?g. }

• W1985102022 endingPage "137" @default.
• W1985102022 startingPage "126" @default.
• W1985102022 abstract "Identifying areas of high risk is crucial for providing targeted antimalarial interventions. This study used ecological spatial regression models to profile spatial variation of malaria risk and analysed possible association of disease risk with environmental factors at sub-district level in northern Malawi. Using malaria incidence data collected between January 2002 and December 2003, we applied and compared Bayesian Poisson regression models assuming different spatial structures. For each model we adjusted for environmental covariates initially identified through bivariate non-spatial models. The model with both spatially structured and unstructured heterogeneity provided a better fit, guided by the model comparison criteria. Malaria incidence was associated with altitude, precipitation and soil water holding capacity. The risk increased with altitude (relative risk (RR): 1.092, 95% interval: 1.020, 1.169) and precipitation (RR: 1.031, 95% interval: 0.950, 1.120). At medium level of SWHC relative to low level, the risk was reduced (RR: 0.521, 95% interval: 0.298, 0.912), while at high level of SWHC relative to low level the risk was raised (RR: 1.649, 95% interval: 1.041, 2.612). Compared to the commonly used standardised incidence ratios, the model-based approach provided homogenous and easy to interpret risk estimates. Generally, the smoothed map showed less spatial variation in risk, with slightly higher estimates of malaria risk (RR>1) in low-lying areas mostly situated along the lakeshore regions, in particular in Karonga and Nkhatabay districts, and low risk (RR<1) in high-lying areas along Nyika plateau and Vwaza highlands. The results suggest that the spatial variation in malaria risk in the region is a combination of various environmental factors, both observed and unobserved, and the map only highlights the overall effect of these factors. The results also identified areas of increased risk, where further epidemiological investigations can be carried out. This study, therefore, constitutes an important first step and future models analysed at a sub-district level could be pursued to delineate priority areas for focussing of finite resources." @default.
• W1985102022 created "2016-06-24" @default.
• W1985102022 creator A5044574912 @default.
• W1985102022 date "2007-05-01" @default.
• W1985102022 modified "2023-09-27" @default.
• W1985102022 title "Spatial modelling and risk factors of malaria incidence in northern Malawi" @default.
• W1985102022 cites W1778614273 @default.
• W1985102022 cites W1866922380 @default.
• W1985102022 cites W1963900503 @default.
• W1985102022 cites W1969915496 @default.
• W1985102022 cites W1997149866 @default.
• W1985102022 cites W2000560165 @default.
• W1985102022 cites W2004014822 @default.
• W1985102022 cites W2028626843 @default.
• W1985102022 cites W2047545977 @default.
• W1985102022 cites W2057765075 @default.
• W1985102022 cites W2089172421 @default.
• W1985102022 cites W2097128325 @default.
• W1985102022 cites W2106947212 @default.
• W1985102022 cites W2110435679 @default.
• W1985102022 cites W2111509726 @default.
• W1985102022 cites W2111800082 @default.
• W1985102022 cites W2119047368 @default.
• W1985102022 cites W2127125660 @default.
• W1985102022 cites W2129438626 @default.
• W1985102022 cites W2133775372 @default.
• W1985102022 cites W2137974648 @default.
• W1985102022 cites W2144203096 @default.
• W1985102022 cites W2156360666 @default.
• W1985102022 cites W2170712385 @default.
• W1985102022 cites W4235101093 @default.
• W1985102022 doi "https://doi.org/10.1016/j.actatropica.2007.04.012" @default.
• W1985102022 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17543264" @default.
• W1985102022 hasPublicationYear "2007" @default.
• W1985102022 type Work @default.
• W1985102022 sameAs 1985102022 @default.
• W1985102022 citedByCount "49" @default.
• W1985102022 countsByYear W19851020222012 @default.
• W1985102022 countsByYear W19851020222013 @default.
• W1985102022 countsByYear W19851020222014 @default.
• W1985102022 countsByYear W19851020222015 @default.
• W1985102022 countsByYear W19851020222016 @default.
• W1985102022 countsByYear W19851020222017 @default.
• W1985102022 countsByYear W19851020222018 @default.
• W1985102022 countsByYear W19851020222019 @default.
• W1985102022 countsByYear W19851020222020 @default.
• W1985102022 countsByYear W19851020222021 @default.
• W1985102022 countsByYear W19851020222022 @default.
• W1985102022 countsByYear W19851020222023 @default.
• W1985102022 crossrefType "journal-article" @default.
• W1985102022 hasAuthorship W1985102022A5044574912 @default.
• W1985102022 hasConcept C105795698 @default.
• W1985102022 hasConcept C119043178 @default.
• W1985102022 hasConcept C121117317 @default.
• W1985102022 hasConcept C12174686 @default.
• W1985102022 hasConcept C203014093 @default.
• W1985102022 hasConcept C205649164 @default.
• W1985102022 hasConcept C2524010 @default.
• W1985102022 hasConcept C2778048844 @default.
• W1985102022 hasConcept C2908647359 @default.
• W1985102022 hasConcept C33923547 @default.
• W1985102022 hasConcept C38652104 @default.
• W1985102022 hasConcept C39432304 @default.
• W1985102022 hasConcept C41008148 @default.
• W1985102022 hasConcept C44249647 @default.
• W1985102022 hasConcept C61511704 @default.
• W1985102022 hasConcept C6350597 @default.
• W1985102022 hasConcept C71924100 @default.
• W1985102022 hasConcept C73269764 @default.
• W1985102022 hasConcept C82789193 @default.
• W1985102022 hasConcept C94747663 @default.
• W1985102022 hasConcept C99454951 @default.
• W1985102022 hasConceptScore W1985102022C105795698 @default.
• W1985102022 hasConceptScore W1985102022C119043178 @default.
• W1985102022 hasConceptScore W1985102022C121117317 @default.
• W1985102022 hasConceptScore W1985102022C12174686 @default.
• W1985102022 hasConceptScore W1985102022C203014093 @default.
• W1985102022 hasConceptScore W1985102022C205649164 @default.
• W1985102022 hasConceptScore W1985102022C2524010 @default.
• W1985102022 hasConceptScore W1985102022C2778048844 @default.
• W1985102022 hasConceptScore W1985102022C2908647359 @default.
• W1985102022 hasConceptScore W1985102022C33923547 @default.
• W1985102022 hasConceptScore W1985102022C38652104 @default.
• W1985102022 hasConceptScore W1985102022C39432304 @default.
• W1985102022 hasConceptScore W1985102022C41008148 @default.
• W1985102022 hasConceptScore W1985102022C44249647 @default.
• W1985102022 hasConceptScore W1985102022C61511704 @default.
• W1985102022 hasConceptScore W1985102022C6350597 @default.
• W1985102022 hasConceptScore W1985102022C71924100 @default.
• W1985102022 hasConceptScore W1985102022C73269764 @default.
• W1985102022 hasConceptScore W1985102022C82789193 @default.
• W1985102022 hasConceptScore W1985102022C94747663 @default.
• W1985102022 hasConceptScore W1985102022C99454951 @default.
• W1985102022 hasIssue "2" @default.
• W1985102022 hasLocation W19851020221 @default.
• W1985102022 hasLocation W19851020222 @default.
• W1985102022 hasOpenAccess W1985102022 @default.
• W1985102022 hasPrimaryLocation W19851020221 @default.

• next