Title | Analysis of Malaria Incidence in Banyumas Using Spacial-Temporal Approach |
Author Order | 3 of 3 |
Accreditation | 2 |
Abstract | Malaria still becomes a public health problem in Indonesia although has declined the last decades. The incidences of malaria in Banyumas shows unstable transmission and still risk of epidemic . Thus, the spatial and temporal distribution is required as part of efforts towards the elimination of malaria in Banyumas. Temporal spatial statistical methods is used to identify a group of malaria incidence at the district level. Purely spatial clusters of malaria incidence from 2004 to 2015 shows that the disease is not distributed randomly in the study area. A total of nine districts of high risk is determined by analysis of Moranâ≢s I. The analysis showed that by the Moranâ≢s I test, there is spatial autocorrelation found in the percentage malaria incidence from 2004 to 2015 in Banyumas. The use of the model can provide a means to detect the spatial distribution, temporal, and spatiotemporal malaria, as well as to identify areas of high risk of malaria. This research may help in prioritizing resources on high-risk areas for malaria control in the future and towards the elimination of malaria in Banyumas. |
Publisher Name | Department of Public Health, Faculty of Sport Science, Universitas Negeri Semarang |
Publish Date | 2017-07-28 |
Publish Year | 2017 |
Doi | DOI: 10.15294/kemas.v13i1.7602 |
Citation | |
Source | KEMAS: Jurnal Kesehatan Masyarakat |
Source Issue | Vol 13, No 1 (2017) |
Source Page | 1-6 |
Url | https://journal.unnes.ac.id/nju/index.php/kemas/article/view/7602/6547 |
Author | Prof. Dr. DWI SARWANI SRI REJEKI, S.KM, M.Kes(Epid) |
File | 540335.pdf |
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