Dengue Hemorrhagic Fever (DHF) is a disease caused by a dengue virus infection which is transmitted through the bite of the Aedes aegypti mosquito. To prevent the occurrence of dengue cases, it is necessary to eradicate mosquito nests. The market is one of the public places that has a risk of dengue transmission. This study aims to determine the density description of Aedes aegypti larvae based on the knowledge, attitudes and actions of cleaning managers, traders and visitors to Pasar Daya Makassar City. This type of research is descriptive observational. The research samples were cleaning managers, traders and visitors as well as containers at Pasar Daya and at the respondent's house. Sampling for respondents using purposive sampling method using inclusion and exclusion criteria. The results showed that the number of containers positive for ae.aegypti larvae in the Daya market was 34 containers with a container index value (CI) = 35.4% and the value of Density Figure (DF) 8 and the presence of Ae.aegypti larvae in the respondent's house (positive) amounting to (51.4%). At the level of knowledge of respondents in the poor category (68.6%), while the attitudes and actions of respondents in the poor category showed a high enough percentage, namely 65.7%, and (68.6%). Based on the results of this study, it can be concluded that the density of Aedes aegypti larvae in Pasar Daya Makassar City is in the high category.
Pada tulisan ini model matematika digunakan adalah model host-vector trasmisi demam berdarah dengue dimana populasi host terdiri dari tiga kompartemen, yaitu susceptible host, infected , dan recovered sedangkan populasi vector terdiri dari dua kompartemen yaitu susceptible vector dan infected vector. Dari model tersebut akan dikonstruksi estimasi bilangan reproduksi dasar dengan asumsi bahwa jumlah manusia dan nyamuk terinfeksi virus dengue tumbuh secara eksponensial dengan laju pertumbuhan yang sama. Aplikasi menggunakan data lapangan di Kota Bima diperoleh estimasi bilangan reproduksi dasar sebesar . Karena nilai estimasi bilangan reproduksi dasar lebih besar dari satu maka memberi gambaran bahwa penyebaran penyakit demam berdarah dengue di Kota Bima tahun 2018 hingga 2020 masuk kategorik wabah.
One of the challenges for eradication of infectious diseases is corruption. This may result in an increase in the number of infectious disease cases. In this article, the effect of corruption on the transmission dynamics of malaria is analyzed using a mathematical model. A deterministic model in the form of a system of differential equations is formulated and analyzed. Sensitivity analysis and numerical simulations are also conducted to determine the effect of parameters on the basic reproductive number. The results show that corruption has negative effects on the efforts for reducing the number of malaria cases.
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