| dc.contributor.author | Sammy Khagayi, Meghna Desai, Nyaguara Amek, Vincent Were, Eric Donald Onyango, Christopher Odero, Kephas Otieno, Godfrey Bigogo, Stephen Munga, Frank Odhiambo, Mary J Hamel, Simon Kariuki, Aaron M Samuels, Laurence Slutsker, John Gimnig, Penelope Vounatsou | |
| dc.date.accessioned | 2022-01-21T09:09:11Z | |
| dc.date.available | 2022-01-21T09:09:11Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | https://repository.maseno.ac.ke/handle/123456789/4438 | |
| dc.description | https://malariajournal.biomedcentral.com/track/pdf/10.1186/s12936-019-2869-9.pdf | en_US |
| dc.description.abstract | : Parasite prevalence has been used widely as a measure of malaria transmission, especially in malaria
endemic areas. However, its contribution and relationship to malaria mortality across diferent age groups has not
been well investigated. Previous studies in a health and demographic surveillance systems (HDSS) platform in western
Kenya quantifed the contribution of incidence and entomological inoculation rates (EIR) to mortality. The study
assessed the relationship between outcomes of malaria parasitaemia surveys and mortality across age groups. | en_US |
| dc.publisher | BioMed Central | en_US |
| dc.subject | Malaria, Mortality, Parasite prevalence, Bayesian spatio-temporal, Health and demographic surveillance system | en_US |
| dc.title | Modelling the relationship between malaria prevalence as a measure of transmission and mortality across age groups | en_US |
| dc.type | Article | en_US |
