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Risk factor assessment and hot-spot analysis is required reckoning prior determining malaria control strategy due to the program effectiveness and cost efficiency reason. All the time, a lot of resources including human and money have to pay to prevent malaria transmission worldwide. Malaria which is caused by Plasmodium and transferred by Anopheles mosquitos has become major public health problem worldwide. Even though WHO said that globally the number of malaria incidence was decreased regarding the strong effort in malaria prevention. In fact, most a half of world population is still at risk of malaria and estimated there were 212 million malaria cases in 2015 with 429.000 mortality (1).  In Indonesia, Annual Parasite Incidence (API) of malaria tends to decrease during 2011 until 2015 as shown in Fig. 1. But, some regions in the east of Indonesia such as Papua, West Papua, West Nusa Tenggara, Maluku, North Maluku, Bengkulu, Bangka Belitung and North Sulawesi is still suffering from Malaria, thus was indicated by their API which is above the national level (0.85) (2).       Open in a separate window   Fig. 1:   Trend of API malaria in Indonesia between 2011–2015 (1)

Risk Factor and Cluster Analysis to Identify Malaria Hot Spot for Control Strategy in Samigaluh Sub-District, Kulon Progo, Indonesia