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Background: Malaria transmission in Indonesia exhibits substantial spatial and temporal heterogeneity, particularly between stable endemic areas and remote outbreak-prone areas. Although routine surveillance is crucial for malaria control and elimination efforts, its limitations can obscure early warning signals, particularly in geographically isolated areas. Objective: This study aimed to analyze malaria epidemiology by integrating routine surveillance data from endemic primary health care settings with results from high-mortality outbreak investigations in remote highland districts in Indonesia, focusing on temporal trends, spatial clustering, Plasmodium species patterns, diagnostic gaps, and mortality. Methods: A mixed epidemiology approach was used. A retrospective longitudinal analysis of routine malaria surveillance data was conducted for the period 2023–2025 in endemic settings, while a cross-sectoral outbreak investigation was conducted in remote highland districts. Descriptive analyses were conducted to assess trends, demographic characteristics, species distribution, spatial heterogeneity, case detection methods, and outbreak-related mortality. Results: Routine surveillance data revealed fluctuations in malaria transmission, with a significant decline in cases in 2024 followed by a sharp increase in 2025. Conversely, outbreak investigations documented high case fatality rates, particularly affecting children and older adults, caused by delayed diagnosis, limited diagnostic capacity, and limited access to timely treatment. Conclusions: These results highlight the dynamic and context-dependent nature of malaria epidemiology in Indonesia. Integrating routine surveillance with outbreak investigations provides a comprehensive understanding of endemic trends and systemic vulnerabilities. Strengthening adaptive surveillance, improving diagnostic capacity, and implementing spatially targeted interventions are crucial for preventing outbreaks and reducing malaria-related mortality, particularly in remote and high-risk areas.

Malaria remains a significant public health problem in several endemic areas in Indonesia. Understanding temporal and epidemiological changes at the local level is crucial for effective malaria control and elimination. This study aims to analyze changes in malaria epidemiological patterns based on routine surveillance data at the Yaro Community Health Center, Indonesia, during the period 2023–2025. This is a retrospective, longitudinal descriptive study using routine malaria surveillance data. Variables analyzed include temporal trends, Plasmodium species distribution, demographic characteristics, spatial distribution, and case-finding strategies. Data were analyzed descriptively using frequencies and proportions. A total of 9,677 malaria examinations were recorded, with 546 confirmed cases. Malaria cases showed a significant increase in 2025. Plasmodium vivax was the most dominant species, with a steadily increasing proportion of mixed infections. Adults aged 15–64 years and men were the most affected groups. Spatial analysis showed regional heterogeneity with persistent hotspots at the village level. Passive case detection remains the primary method, while active surveillance is increasingly contributing to case identification. Malaria epidemiology in the Yaro region exhibits dynamic temporal, demographic, and spatial patterns. Strengthening integrated surveillance and targeted interventions is essential to address persistent transmission and support malaria elimination efforts.

Malaria remains a major public health challenge in eastern Indonesia, particularly in the remote highland areas Papua, where access to health services is very limited. In early 2008, a suspected malaria outbreak with several deaths was reported in Agisiga District, a remote highland area in Papua. This study aimed to investigate the epidemiological characteristics, diagnostic results, and mortality patterns of the malaria outbreak as a basis for formulating future control strategies. The outbreak investigation was conducted using a cross-sectional design in Agisiga District from January to March 2008. Capillary blood samples were examined using Rapid Diagnostic Tests (RDTs) and thin blood smear microscopy. Malaria-related deaths were traced through verbal autopsy methods and interviews with families and community leaders. Descriptive analysis was performed to describe the demographic, clinical, and parasitological characteristics the cases. A total of 92 suspected malaria cases were identified, with the highest proportion coming from Tomosiga Village (52.2%), followed by Bigasiga Village (40.2%) and Agisiga Village (7.6%). Women accounted for 58.7% of all cases, and the most affected age group was 15–35 years (34.8%). Microscopic examination confirmed malaria infection in 55.0% of samples examined, with Plasmodium vivax predominating (45.0%), while the RDT positivity rate was much lower. The malaria outbreak in Agisiga District was characterized by high mortality, delayed diagnosis, and significant gaps in diagnostic capacity, particularly in remote villages. Strengthening the surveillance system, increasing diagnostic capacity, and improving access to timely treatment are crucial steps prevent similar outbreaks and reduce malaria mortality in the Papuan highlands.

Latar Belakang: Malaria menjadi target dunia untuk mencapai status eliminasi terutama bagi negara yang memiliki kasus tinggi. Pemerintah meluncurkan berbagai program dan peta jalan untuk mencapai target eliminasi malaria pada tahun 2030. Papua merupakan salah satu provinsi yang mempunyai endemis malaria tinggi dan menuju program eliminasi yang dilakukan oleh pemerintah. Agar eliminasi malaria tercapai harus dilakukan peningakatan pengetahuan pada Masyarakat melalui edukasi Kesehatan Tujuan Meningkatkan pengetahuan anak panti asuhan tentang penyakit malaria. Metode: Metode yang digunakan adalah Pendidikan Kesehatan tentang penyakit malaria yang disampaikan dengan teknik tanya jawab, diskusi serta memanfaatkan komik malaria Hasil: Hasil menunjukkan Tingkat pengetahuan peserta tentang malaria sebelum diberikan penyuluhan yaitu pengetahuan kurang berjumlah 20 orang (45,5%), pengetahuan cukup berjumlah 20 orang  (45,5%) dan pengetahuan baik berjumlah 4 orang (9%). Sedangkan pengetahuan peserta setelah diberikan intervensi edukasi malaria melalui komik malaria menjadi pengetahuan kurang berjumlah 5 orang (11,4%), pengetahuan cukup berjumlah 10 orang (22,7%) dan pengetahuan baik berjumlah 29 orang (65,9). Kesimpulan: Sebagian besar anak panti asuhan berpengetahuan baik setelah diberikan edukasi tentang penyakit malaria melalui media komik Malaria di Panti Asuhan Komba Sentani Jayapura.

Malaria remains a significant health issue in the coastal areas of Yapen Islands Regency, particularly among children who are at high risk of morbidity and mortality. To address this, a community empowerment and mentoring activity was conducted in Kampung Turu, the service area of Serui Kota Health Center, with the aim of increasing knowledge and practices related to malaria prevention through a community-based education approach. The program involved 60 respondents and was carried out in three stages: preparation, implementation, and monitoring and evaluation. The interventions included malaria education, demonstrations on the use of insecticide-treated bed nets, environmental management, and training community health workers as education agents. Pre–post test evaluations showed an improvement in community knowledge and awareness regarding malaria prevention in children. The community empowerment approach was proven effective in promoting positive behavioral changes and enhancing the capacity of parents and health workers to carry out sustainable malaria prevention efforts. This program is expected to serve as a model for public health interventions in coastal areas aimed at reducing the risk of malaria in children.  

Millions of people suffer from malaria, one of the most serious parasitic diseases that threatens human life and causes high rates of morbidity and mortality, particularly in tropical and subtropical regions. Traditional diagnostic methods, such as blood smear examination, which can be performed using a microscope, face many challenges due to the inaccuracy of manual analysis and the reliance on individual skills. Therefore, the use of machine learning or deep learning algorithms to automate malaria detection offers promising solutions to improve accuracy, reduce diagnosis time, and enhance scalability. In this paper, a multi-class convolutional neural network (CNN)-based model is designed to classify cells infected with Plasmodium falciparum (P. falciparum) and Plasmodium vivax (P. vivax) and uninfected cells from blood smears, as most severe cases and deaths are caused by P. falciparum and P. vivax. This is achieved by building and training a CNN from scratch, rather than using transfer learning from pre-trained models. The proposed network was trained and tested on the Kaggle dataset, which consists of 27,558 images of infected and uninfected individuals. These images were divided into 13,779 images of uninfected individuals, 6,890 images of individuals with P. falciparum malaria, and 6,889 images of individuals with P. vivax malaria. The images were preprocessed using several operations, including blurring, denoising, and morphological processing. The proposed model achieved the best evaluation accuracy when compared with other deep learning algorithms, with an accuracy rate of 96.5%, a sensitivity rate of 95%, a specificity rate of 97.6%, and an F1-score rate of 96.5%. These results demonstrate the effectiveness of the proposed model as a tool to assist clinicians in malaria diagnosis, reducing reliance on manual analysis.

Malaria remains a significant public health issue both globally and in Indonesia, particularly affecting high-risk groups such as infants, young children, and pregnant women. The increasing incidence of malaria is closely linked to environmental and behavioral factors. This study aims to examine the relationship between community behavior and environmental conditions with malaria incidence at the Arso City Health Center, Keerom Regency. A quantitative, cross-sectional design was used, allowing analysis of variables at a single point in time. The sample was selected through simple random sampling based on inclusion and exclusion criteria. Findings revealed that there is no significant relationship between the habit of going outside the house and malaria incidence (p = 0.07). However, there is a significant relationship between the use of mosquito repellent and malaria incidence (p = 0.000). Similarly, using mosquito nets and gauze also showed a significant relationship with reduced malaria cases. Environmental aspects such as mosquito breeding sites and unsealed house walls were also found to be significantly associated with malaria occurrence. These results suggest that both behavioral factors—particularly protective measures—and environmental conditions contribute to malaria transmission in the community. Public health efforts should prioritize education on preventive behaviors and improvements in living environments to reduce malaria risk.

Malaria remains a significant public health issue in Indonesia, particularly in endemic areas such as Keerom Regency, Papua. Efforts to control this disease face challenges due to Plasmodium resistance to synthetic drugs, highlighting the need for safer and more effective alternative treatments. This study aims to identify the secondary metabolite content of several local plants traditionally used as antimalarial remedies. An experimental laboratory study was conducted using phytochemical screening methods. The plants examined included turmeric rhizome (Curcuma longa), meniran leaves (Phyllanthus niruri), papaya leaves (Carica papaya), sambiloto (Andrographis paniculata), and brotowali (Tinospora crispa). Extraction was carried out using the maceration method with 96% ethanol as the solvent. The results showed that all samples contained secondary metabolites such as flavonoids, alkaloids, tannins, and saponins, which are known for their antiplasmodial activity. Extract yields ranged from 18% to 24%, with turmeric rhizome showing the highest yield. These findings suggest that local plants from Keerom Regency hold potential as raw materials for the development of herbal antimalarial drugs. This study serves as a preliminary step for further in vitro and in vivo bioactivity testing.

Malaria is an infectious disease caused by Plasmodium parasites and transmitted through the bites of female Anopheles mosquitoes. It remains a serious public health issue in various endemic regions, particularly in developing countries. This study aims to identify the factors associated with malaria incidence and evaluate the effectiveness of prevention and control programs that have been implemented. A quantitative approach with a descriptive correlational research design was used, involving secondary data from the Health Office reports and primary data collected through field surveys in the endemic area of PT. Tandan Sawita Papua, Keerom Regency. The results showed that malaria incidence is associated with the use of mosquito nets and the use of mosquito repellents. The study concludes that an integrated approach to malaria control is essential, including community education, environmental improvements, and sustainable health policy support.

Indonesia has around 3,500 species of therapeutic plants, one of which is utilized by the individuals of Selilau Town, Aru Islands Rule, Maluku Area.. This study aims to examine 15 types of medicinal plants that are used traditionally, including plant parts, properties, active compound content, and pharmacological activity based on scientific literature from the last 10 years. This survey points to recognize species of restorative plants commonly utilized in neighborhood conventional medication, look at the plant parts utilized, handling strategies, and maladies treated based on neighborhood experiences and to survey logical writing to decide the dynamic compound substance and pharmacological movement of each distinguished plant. The comes about of the think about appeared that the foremost broadly utilized plant is the leaf portion. Some of them are: Momordica charantia (bitter melon) for cough; Urena lobata (pulutan) to smooth postpartum blood; Morinda citrifolia (mengkudu) for broken bones; Erythrina variegata (dadap) for body recovery; Myrmecodia pendens (ant nest) for swelling and beriberi; and Carica papaya (papaya) for malaria. Other plants such as Manihot esculenta, Tradescantia spathacea, Graptophyllum pictum, Hemigraphis alternata, Mimosa pudica, Jatropha curcas, Psidium guajava, Nypa fruticans, and Stachytarpheta jamaicensis are also used for various health complaints. Active compounds such as flavonoids, alkaloids, tannins, and saponins support pharmacological activities such as anti-inflammatory, antioxidant, antipyretic, gastroprotective, and immunostimulant. This study emphasizes the importance of documenting traditional knowledge as an effort to preserve and develop local wisdom-based medicines.

Malaria is an infectious disease caused by Plasmodium sp which is transmitted by the Anopheles mosquito. The spread and endemicity of malaria is greatly influenced by the existence of breeding sites for Anopheles mosquitoes as a result of human behavior. Papua still has the highest malaria endemic status in Indonesia. West Koya Community Health Center, based on data from the Jayapura City Health Service, has the highest number of malaria cases with the highest API figure of the 13 Community Health Centers. The aim of the research was to determine the influence of community behavior on malaria at the Koya Barat Health Center. This type of analytical research uses a crosectional study. The population is 14,442 people who visited the Koya Barat Health Center in 2022, with a sample size of 100 people calculated based on the Slovin formula. Data were analyzed bivariately using the chi square test and risk factor analysis calculating prevalence ratio (RP) values ​​with confidence intervals (CI 95%). Based on the results of the chi square test, it was found that the knowledge variable had an influence with a ρ-value = 0.049 ≤ 0.05, meaning that there was an influence of the respondent's knowledge on the incidence of malaria. Risk analysis obtained RP = 1.441; 95% CI (0.783 – 1.854) which is interpreted to mean that respondents with poor knowledge have a 1.144 times chance of suffering from malaria compared to respondents with good knowledge but it is not significant because the lower and upper values ​​exceed 1. Meanwhile, the results obtained for the attitude and action variables have no effect on However, malaria is a risk factor because the RP value is > 1 but is not significant because the 95% CI exceeds 1. 

Zodia leaves (Evodia suaveolens) are endemic plants of Indonesia originating from Papua, widely known for their natural mosquito-repelling properties. Traditionally, local communities use these leaves by rubbing them directly onto the skin to avoid mosquito and insect bites. Zodia leaves contain active compounds that produce a distinctive aroma disliked by mosquitoes, making them an effective natural repellent. One of the diseases transmitted by mosquitoes is malaria, which attacks human red blood cells and is spread through the bite of Anopheles mosquitoes. A high population of mosquito larvae and adults in an area increases the risk of malaria transmission. Although vector control is commonly carried out using synthetic insecticides that provide rapid results, these chemicals may lead to negative effects such as insecticide resistance in mosquitoes and environmental pollution. Therefore, safer and more sustainable alternatives for vector control are urgently needed. The use of zodia leaves as a natural mosquito repellent is considered effective and environmentally friendly. This potential should be further explored as an alternative solution in the prevention of vector-borne diseases, particularly malaria, using an approach that prioritizes public health and environmental sustainability.

The inventory of medicinal plants involves collecting and organizing data regarding natural resources for resource management planning and serving as a database to reveal the potential of plants in a given area. This study aims to inventory the types of medicinal plants found in the home gardens of the residents of Negeri Latu, Amalatu District, West Seram Regency. The data collection methods employed were exploration and descriptive surveys. The gathered data was subsequently analyzed to identify the benefits or uses of the plants based on relevant literature. The results indicate that 57 species of medicinal plants were found in the home gardens of the residents of Negeri Latu. These plants possess various properties, including antidiabetic, antimalarial, anti-inflammatory, antioxidant, anticholesterol, anticancer, antidysentery, analgesic, antipyretic, and mosquito-repellent effects. This finding highlights the significant potential of home gardens in Negeri Latu as a rich natural resource of medicinal plants. The diversity of plant species reflects the local traditional knowledge of utilizing flora as a natural solution to various health issues.

Flavonoid dalam ekstrak daun ketepeng cina (Cassia alata, L.) terbukti sebagai anti malaria. Ekstrak etanol daun ketepeng cina (EEDKC) dikembangkan menjadi Self-Emulsifying Drug Delivery Systems (SEDDS) karena kelarutannya yang rendah dalam air dan kurang stabil dalam kondisi penyimpanan. Penggunaan ekstrak dalam sediaan juga memiliki kekurangan dalam hal absorbsi dan bioavailabilitasnya yang rendah. Namun hal tersebut dapat diatasi dengan memformulasikan EEDKC menjadi sediaan SEDDS. Tujuan dari penelitian adalah untuk menentukan pengaruh dari fase minyak, surfaktan, dan kosurfaktan terhadap formulasi SEDDS EEDKC dan mengkarakterisasinya pada respon parameter waktu emulsifikasi dan % transmitan sehingga memperoleh komposisi yang optimum pada formula SEDDS EEDKC. Pembuatan SEDDS EEDKC dimulai dari uji kelarutan berupa uji pendahuluan kelarutan EEDKC pada minyak, surfaktan, dan kosurfaktan dengan pseudoternary diagram untuk mengidentifikasi area terbentuknya SEDDS yang isotropik. Optimasi formula SEDDS EEDKC menggunakan perangkat lunak Design Expert versi 12 dengan model desain D-Optimal Mixture Design. Dan parameter karakteristik yang diuji adalah waktu emulsifikasi, % transmitan, extract loading, dan stabilitasnya secara termodinamika. Hasil formulasi yang optimal untuk SEDDS EEDKC yaitu 10,00% minyak jagung sebagai fasa minyak; 59,82% Cremophor RH 80 sebagai surfaktan dan 30,18% Transcutol CG sebagai ko-surfaktan. Karakterisasi formula optimum SEDDS EEDKC memiliki waktu emulsifikasi 30,18 detik, nilai transmitan 66,00%.

Milkwood bark (Alstonia scholaris (L.) R. Br.) is one of the medicinal plants of the genus Alstonia. This plant is traditionally used by the community as a medicine for diarrhea, diabetes, malaria, hemorrhoids, and antihypertensives. This plant contains secondary metabolites that have the potential as antibacterial such as alkaloids, flavonoids, saponins and tannins. The purpose of this study was to determine the inhibition of antibacterial activity and the most effective concentration in inhibiting Staphylococcus aureus and Escherichia coli. The sample used in this study was milkwood bark, the sample was extracted by maceration method using 96% ethanol as solvent. The antibacterial testing method used in this study was disc diffusion. The study used a completely randomized design with 9 treatments, namely 1000 ppm, 750 ppm, 500 ppm, 250 ppm, 100 ppm, 50 ppm, 10 ppm, Ciprofloxacin (positive control), sterile distilled water (negative control). The results of the antibacterial activity test at a concentration of 500 ppm showed that milkwood bark extract could inhibit the growth of S. aureus by 8.22 mm and at a concentration of 250 ppm showed that milkwood bark extract could inhibit the growth of E. coli by 8.75 mm. From the test results, it can be concluded that milkwood bark (A. scholaris (L.) R. Br.) has antibacterial activity that has moderate potential in inhibiting S. aureus and E. coli.

Traditional medicine is currently developing rapidly, especially those based on plants. Active plant compounds are the main basis for the development of new drugs, which after further research, can be commercialized and used in pharmaceutical treatment. This review was conducted to identify the pharmacological effects of active drug compounds isolated from medicinal plants by conducting a literature study. The results of the literature review contained 37 articles that met the inclusion criteria. Until now, there are several active drug compounds from plants that are sold commercially in the form of modern drugs. Some of the pharmacological effects found are cardiac glycosides, anticholinergics, antiplatelets, analgesics, anticancer, sympathomimetics and antimalarials. This search shows that natural materials are still used as a potential source of active drug compounds, thus encouraging research to find new active compounds from medicinal plants to overcome diseases in the future.

Dengue fever, malaria, and other mosquito-borne diseases remain significant health problems and challenges in various regions, especially in rural areas. Dengue fever (DBD) is caused by the dengue virus types 1-4, which are transmitted through the bites of Aedes aegypti and Aedes albopictus mosquitoes. The majority of the residents of Karya Mukti Village work as rubber tappers. They usually start their activities early in the morning or even before dawn. However, mosquitoes are most active in the morning and late afternoon, making the local community highly vulnerable to mosquito bites. To address this issue, the people of Karya Mukti Village still widely use mosquito repellents available on the market, which contain harmful chemicals that pose risks to both health and the environment if used over the long term. Therefore, this community service initiative aims to conduct outreach and hands-on training on the use of citronella (Cymbopogon nardus) as a natural mosquito repellent alternative. This program is carried out using a socialization and product-making approach through participatory engagement, where Dasawisma (women's community groups) are encouraged to identify their needs and challenges, as well as appropriate solutions to address them. By involving Dasawisma members in the learning and production process of natural mosquito repellents, it is hoped that they will gain better knowledge and skills in making natural mosquito repellents.

Malaria remains a global health issue, particularly in tropical and subtropical regions. In Indonesia, Papua Province specifically Nabire Regency reports a high incidence of malaria, although a decline has been observed since 2010. Infants and pregnant women are the most vulnerable groups. Nutritional status, influenced by dietary patterns, environment, and access to healthcare, plays a crucial role in susceptibility to malaria. Malnourished children are more prone to severe malaria infections due to their underdeveloped immune systems. This research focuses on Kimi Health Center in Nabire Regency and aims to explore the relationship between the nutritional status of children under five and malaria incidence in 2024. The goal of this study is to determine the relationship between the nutritional status of children under five and malaria incidence at Kimi Health Center, Teluk Umar District, Nabire Regency, in 2024. The research design employs an analytical descriptive approach with a cross-sectional method to analyze the relationship between nutritional status and malaria incidence. Data was collected at one point in time and analyzed using univariate and bivariate analysis with the Kendall tau-b test through SPSS software. The results show that nutritional status significantly influences susceptibility to malaria. Children with poor nutrition are at a higher risk of experiencing severe malaria due to immune system dysfunction. Malnutrition, such as Protein-Energy Malnutrition (PEM), worsens parasitemia and anemia. Nutrient deficiencies, including iron, vitamin A, and zinc, also weaken the immune system. Therefore, improving nutritional status is a crucial effort in malaria control within endemic areas.

Health is a condition where the body system and organs in the body can carry out their respective functions. However, in some cases that occur in Indonesian society, health problems have begun to appear, such as diabetes, malaria, and so on. According to the analysis, the incidence of diabetes continues to increase every year. Furthermore, the plant extract that is used as a source of antioxidants is bamboo shoots. The incidence of malaria resistance has reached >25% so that several drugs such as chloroquine are no longer used as the main drug in cases of malaria. The purpose of writing is to analyze the results of a review of the pharmacological potential of plant extracts that are effective as antidiabetic, antioxidant, and antimalarial supplements. The writing method used in writing this journal is to use a qualitative type. The results of the study are that bamboo leaf extract provides effectiveness as an antioxidant. Furthermore, antidiabetic can be found in the extract of the butterfly pea flower. Then the extract of the moon flower leaf has effectiveness as an antimalarial. The conclusion drawn is that the use of natural plant extracts can be used as antidiabetic, antioxidant, and antimalariall.

Medical record data can be used as a benchmark and comparison in the health business to ascertain the rate at which a disease is developing in a given area. It would be beneficial, though, if this data could be transformed into useful information, like illness forecasts. Infectious diseases like malaria are common in tropical and subtropical regions. West Sumba Regency is the region with the highest number of malaria cases, and this figure rises year. Of the different Puskesmas labor locations, Lolo Wano Health Center has the largest number of positive cases of malaria. In order to apply information system technology and prevent malaria early, research was done at the Lolo Wano Community Health Center to predict malaria using the Naïve Bayes approach. This is because the Community Health Center does not currently have a malaria prediction system. Six of the 16 features in the patient dataset—a total of 27 patient data—were malaria symptoms. When there are suitable illness indicators, positive predictions are produced using the outcomes of Naïve Bayes computations. Before the patient proceeds with a direct medical evaluation, these anticipated results may be utilized as a provisional approximation. Naïve Bayes, Center, Prediction, Malaria