E3S Web Conf.
Volume 151, 2020The 1st International Conference on Veterinary, Animal, and Environmental Sciences (ICVAES 2019)
|Number of page(s)||5|
|Published online||14 February 2020|
The Distribution of Malaria with Seasonal in Kokap Yogyakarta 2012-2017
Undergraduate Student, Faculty Medicine, Universitas Islam Indonesia, Yogyakarta, Indonesia
2 Departement of Parasitology, Faculty Medicine, Universitas Islam Indonesia, Yogyakarta, Indonesia
* Corresponding author: email@example.com
Kokap is one of the endemic areas of malaria in Yogyakarta. The transmission of malaria was influenced by multiple factors including season. The impact of the rainfall rate in the rainy season was increasing the breeding place of vector-borne diseases, especially malaria. This study aims to describe the case of malaria, the relationship with season and mapping of endemic areas of malaria in Kokap I Primary Health Centre at Kulon Progo in 2012-2017. This is a descriptive epidemiological study with an ecological study approach. The study population was malaria cases in Kokap I Primary Health Centre. Data were analyzed descriptively and then mapped based on the endemic areas. The result showed 245 cases of malaria consisting of 136 men (55.5%) and 109 women (44.5%), on which 166 of them were in 15-45 years age group (67.7%). There were 59.2% of patients were positive of P. vivax infection and 40% of patients were positive of P. falciparum. Malaria cases in 2012-2017 at rainy season, moist season, dry season were 109, 59 and 77 respectively. Malaria cases were increased from October to April which is the rainy season, but there is no significant difference between rainy season and dry season with the incidence of malaria (p=0.316). Kalirejo village was found as a medium-high endemic village, while Hargomulyo and Hargorejo Villages were lowmedium endemic villages. During 2012-2017, we found that malaria in Kokap was dominated with P. vivax infection and the malaria incidence was increased in the rainy season.
Key words: season / malaria / incidence / Yogyakarta
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.