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Dalam presentasi ini saya menyampaikan 3 hal terpenting terkait dengan digitalisasi kesehatan, yaitu penerapan regulasi rekam medis elektronik, implikasi UU PDP serta regulatory sandbox untuk teknologi disruptif bidang kesehatan.&nbsp

Presentasi ini disajikan dalam mendiskusikan diskusi daring Ruang Bicara Data yang diselenggarakan oleh Yayasan TIFA dan CIPG pada 29 April 2021. Situasi tata kelola data di era pandemi dibahas. Setahun berjalan, kita masih berkutat pada produksi dan penyajian data epidemiologi dasar COVID-19. Padahal, pandemi ini telah meluas dan menjalar tidak hanya dari segi jumlah yang terdampak langsung oleh penyakitnya, dari yang akhirnya sembuh sampai meninggal, tetapi juga dampak tidak lanjut di berbagai sektor. Ekosistem data yang lebih efektif, efisien, terbuka dan kolaboratif, dari fase produksi sampai dengan pemanfaatannya, perlu diperkuat. Momentum pimpinan baru Kementerian Kesehatan merupakan peluang penting untuk memperbaiki tata kelola data kesehatan. Sekarang. Agar pandemi segera berakhir. Agar data bisa menyelamatkan nyawa. Data for saving lives., {"references":["Khoir, Safirotu, Fuad, Anis, Sanjaya, Guardian Yoki, Rachmawati, Leli, Achmad, Lia, Kurnia, Sherah, & Dillnutt, Rodd. (2021, March). Enhancing National Health Information Systems through data connectivity and integration to support COVID-19 response in Indonesia. Zenodo. http://doi.org/10.5281/zenodo.4607359","Keping Yao and Mi Kyoung Park. Strengthening Data Governance for Effective Use of Open Data and Big Data Analytics for Combating COVID-19 https://www.un.org/development/desa/dpad/wp-content/uploads/sites/45/publication/PB_89.pdf","https://setkab.go.id/presiden-apresiasi-penggunaan-aplikasi-telemedicine-untuk-kurangi-risiko-tenaga-medis/"]}

Ini merupakan materi presentasi yang disajikan dalam kegiatan diseminasi penelitian pada tanggal 23 Desember 2020. Riset ini didanai oleh the Australia-Indonesia Centre melalui skema Small Rapid Research Grant.&nbsp

Presentasi di Raker POGI (Perkumpulan Obstetri dan Ginekologi Indonesia) pada 26 Februari 2021. Dalam presentasi terdapat 3 topik, meliputi: jargon industri 4.0, teknologi digital untuk kesehatan reproduksi dan peran POGI., {"references":["https://setkab.go.id/presiden-apresiasi-penggunaan-aplikasi-telemedicine-untuk-kurangi-risiko-tenaga-medis/","Fukuyama, M. (2018). Society 5.0: Aiming for a new human-centered society. Japan Spotlight, 27, 47-50.","https://www8.cao.go.jp/cstp/english/society5_0/medical_e.html","Kemenkes (2020). Renstra Kemenkes 2020-2024","https://www8.cao.go.jp/cstp/english/society5_0/index.html","https://theprint.in/health/how-covid-is-making-it-tougher-to-tackle-tb-aids-malaria-and-child-health/443658/","Kaufman, David R., et al. \"Understanding workflow in telehealth video visits: Observations from the IDEATel project.\" Journal of Biomedical Informatics 42.4 (2009): 581-592.","Aziz, Aleha, et al. \"Telehealth for high-risk pregnancies in the setting of the COVID-19 pandemic.\" American journal of perinatology 37.8 (2020): 800","de Mooij, Marnie J. Meylor, et al. \"OB Nest: reimagining low-risk prenatal care.\" Mayo Clinic Proceedings. Vol. 93. No. 4. Elsevier, 2018.","Video Bumilku Kulonprogo (https://www.youtube.com/watch?v=BETPruXhcjk)","Video TeleCTG (https://www.youtube.com/watch?v=ecYNYZ83jbU)","Evidence Standards Framework for Digital Health Technologies (March 2019) © NICE 2019","Wenerda, I. (2019). Grup WhatsApp Sebagai Wadah Komunikasi Ibu-Ibu di Era Digital. Jurnal Penelitian Pers Dan Komunikasi Pembangunan, 23(1), 43-53.","https://www.ama-assn.org/system/files/2020-04/ama-telehealth-playbook.pdf"]}

Presentasi ini mendiskusikan keamanan siber dalam ekosistem kesehatan digital Indonesia. Sayangnya, hingga saat ini situasinya masih belum tergambarkan secara komprehensif. Selain itu, alat ukur yang tersedia juga masih belum disepakati bersama. Perlu diskusi lebih lanjut untuk merumuskan alat ukur, menilainya dan merencanakan kegiatan untuk menguatkannya.&nbsp

Presentasi ini mendiskusikan keamanan siber dalam ekosistem kesehatan digital Indonesia. Sayangnya, hingga saat ini situasinya masih belum tergambarkan secara komprehensif. Selain itu, alat ukur yang tersedia juga masih belum disepakati bersama. Perlu diskusi lebih lanjut untuk merumuskan alat ukur, menilainya dan merencanakan kegiatan untuk menguatkannya., {"references":["O'Brien, N., Grass, E., Martin, G., Durkin, M., Darzi, A., & Ghafur, S. (2021). Developing a globally applicable cybersecurity framework for healthcare: a Delphi consensus study. BMJ Innovations, 7(1).","BSSN. (2020). Buku Putih Keamanan Siber Sektor Kesehatan. Jakarta: Badan Siber dan Sandi Negara (BSSN).","HIMSS (2020). 2020 HIMSS Cybersecurity Survey available at https://www.himss.org/sites/hde/files/media/file/2020/11/16/2020_himss_cybersecurity_survey_final.pdf","Medical cybersecurity: A patient safety issue available at https://www.ama-assn.org/delivering-care/patient-support-advocacy/medical-cybersecurity-patient-safety-issue","Presiden Apresiasi Penggunaan Aplikasi 'Telemedicine' untuk Kurangi Risiko Tenaga Medis available at https://setkab.go.id/presiden-apresiasi-penggunaan-aplikasi-telemedicine-untuk-kurangi-risiko-tenaga-medis/"]}

Presentasi ini menyampaikan tentang perkembangan telekonsultasi kesehatan ibu, khususnya di era pandemi, serta tantangan implementasinya. Materi ini pernah disampaikan di berbagai seminar daring., {"references":["https://setkab.go.id/presiden-apresiasi-penggunaan-aplikasi-telemedicine-untuk-kurangi-risiko-tenaga-medis/","Riskesdas, 2013","Pengalaman penerapan big data di Dinas Kesehatan Kota Semarang (seminar daring)","https://www.who.int/news/item/13-05-2020-people-living-longer-and-healthier-lives-but-covid-19-threatens-to-throw-progress-off-track?utm_campaign=who-people-living-longer-and-healthier-lives-but-covid-19-threatens-to-throw-progress-off-track-world-health-organization&utm_medium=rss&utm_source=rss","@VectorSting","https://theprint.in/health/how covid is making it tougher to tackle tb aids malaria and child health/443658/","https://www.theguardian.com/commentisfree/2020/apr/29/us responses 1918 flu pandemic offer stark lessons coronavirus now","https://apps.who.int/iris/bitstream/handle/10665/63857/WHO_DGO_98.1.pdf?sequence=1&isAllowed=y","Wake, Deborah Jane, et al. \"Endocrinology in the time of COVID 19: Remodelling Diabetes Services and Promoting Innovation.\" European Journal of Endocrinology 1.aop (2020).","Bouchonville , Matthew F., et al. \"Taking telemedicine to the next level in diabetes population management: a review of the Endo ECHO model.\" Current diabetes reports 16.10 (2016):","Ma, Schweitzer, N. Lasierra , and Hoerbst Aa. \"Observing health professionals' workflow patterns for diabetes care First steps towards an ontology for EHR services.\" Digital Healthcare Empowering Europeans: Proceedings of MIE2015 210 (2015): 25.","Kaufman, David R., et al. \"Understanding workflow in telehealth video visits: Observations from the IDEATel project.\" Journal of Biomedical Informatics 42.4 (2009): 581 592.","Jung, Eun Young, et al. \"Mobile healthcare application with EMR interoperability for diabetes patients.\" Cluster Computing 17.3 (2014): 871 880.","Aziz, Aleha , et al. \"Telehealth for high risk pregnancies in the setting of the COVID 19 pandemic.\" American journal of perinatology 37.8 (2020): 800","de Mooij , Marnie J. Meylor , et al. \"OB Nest: reimagining low risk prenatal care.\" Mayo Clinic Proceedings . Vol. 93. No. 4. Elsevier, 2018.","Wenerda, I. (2019). Grup WhatsApp Sebagai Wadah Komunikasi Ibu-Ibu di Era Digital. Jurnal Penelitian Pers Dan Komunikasi Pembangunan, 23(1), 43-53.","Permenkes no 21 tahun 2020 tentang Rencana Strategis Kementerian Kesehatan 2020-2024","American Medical Association. Telehealth implementation playbook","Aoun. Robot Proof: Higher Education in the Age of Artificial Intelligence (2017)","Sittig, D. F., & Singh, H. (2015). A new socio-technical model for studying health information technology in complex adaptive healthcare systems.","Fuad, A. Urgensi regulasi kesehatan digital. Media Indonesia 2020"]}

Background: As part of the nutritional care services in a hospital, dietitians should monitor the served menu leftovers of the patient to ensure adequate nutrition intake during the treatment. Unfortunately, the existing manual method was complicated and inefficient. Overcoming this issue, Rumah Sakit Umum Haji Surabaya has developed an application, namely "Mugitelas". Purpose: This study aimed to find out the usability and efficiency of the "Mugitelas" application.Method: A quasi-experimental study was conducted to measure usability of "Mugitelas" using the System Usability Scale (SUS) to measure the time efficiency, before and after using the application, using paired t-test and ANOVA. Results: SUS score was 88, proving "Mugitelas" was acceptable. A paired t-test before and after using the application showed a significant difference of about 5 minutes (p=0,000). Based on the ANOVA test, age of respondents, education, and work length were not significantly associated with the time needed to use the application. For the t-test application usage in the first through the fourth week, PV obtained 0.146, 0.986, and 0.713, showing no difference in the speed of use of the "Mugitelas" application in the first, second, third, and fourth week.Conclusion: "Mugitelas" application was acceptable by users and efficient with only 5 minutes needed to measure the leftovers of the patient's served meal. With only one week for adapting to this application, it is recommended that this application be scaled up for broader hospital implementation.Keywords: Evaluasi, Aplikasi, "Mugitelas," leftovers, usability, Latar Belakang : Seperti yang distandarkan dalam akreditasi RS, ahli gizi harus melakukan monitoring evaluasi terhadap asugan gizi diantaranya mengamati sisa makanan pasien, karena berimplikasi klinis seperti asupan yang tidak adeqwat, memperpanjang hari perawatan, meningkatkan biaya, membuang sisa makanan yang sia-sia dan berakibat kematian. Sayangnya, kegiatan evaluasi sisa makanan sering tidak dilakukan karena metode yang selama digunakan membutuhkan waktu yang lama untuk dikerjakan. RSU Haji Surabaya telah mencoba membuat aplikasi “Mugitelas” yaitu untuk evaluasi sisa makanan dan asupan pasien belum diuji usabilitas dan efisiensinya.Tujuan : Mengetahui usabilitas dan efisiensi waktu dari aplikasi “Mugitelas”.Metode : Untuk mengetahui usabilitas dengan diskriptif kwantitatif menggunakan System Usability Scale (SUS) sedangkan untuk meneliti efisiensi waktu menggunakan quasi eksperimental sebelum dan sesudah penggunaan aplikasi dengan menggunakan paired t-test dan Univariate Multi way Analysis of Variance (ANOVA).Hasil : Dari uji usabilitas didapat angka 88 yang berarti aplikasi “Mugitelas” ini dapat diterima untuk digunakan sebagai alat pengamatan sisa makanan dan menaksir nilai gizi asupan pasien di RSU Haji Surabaya. Sedangkan dari uji paired t-tes didapat pv = 0,000 yang artinya aplikasi ini bisa menghemat waktu sebesar 293,9 detik atau 4,9 menit per pasien dibandingkan dengan cara manual. Sedangkan untuk uji Annova, semua variable, umur, pendidikan, lama menggunakan HP android dan lama bekerja tidak signifikan terhadap waktu penggunaan aplikasi yang berarti aplikasi ini bisa digunakan oleh semua ahli gizi di RSU Haji Surabaya. Untuk uji paired t-test penggunaan aplikasi pada minggu 1 dengan minggu ke-2 dan ke-3 didapat pv= 0,0006 dan pv = 0,0165 yang berarti butuh waktu tidak lebih dari satu minggu untuk beradaptasi dengan aplikasi ini. Kesimpulan : Aplikasi “Mugitelas” ini bisa diterima untuk pengamatan sisa makanan dan menaksir nilai gizi asupan pasien, serta dapat menghemat waktu sebesar rata-rata 5 menit per pasien dan butuh waktu tidak lebih dari satu minggu untuk bisa beradaptasi dengan aplikasi ini.

Supplemental Material, sj-pdf-1-ccx-10.1177_10732748211053464 for Mapping and Visualization of Cancer Research in Indonesia: A Scientometric Analysis by Herindita Puspitaningtyas, Aufia Espressivo, Susanna H Hutajulu, Anis Fuad and Matthew J Allsop in Cancer Control

Diskusi ini dipicu oleh pesan saya ke beberapa kanal komunikasi yang dipicu oleh artikel tentang kenaikan harga APC (biaya publikasi). Nama-nama saya anonimkan. Pendapat yang tertera sudah saya sunting agar lebih jelas maknanya dan merangkum beberapa pendapat yang senada. Pesan awal saya adalah Yang mendanai riset = negara, Yang mengerjakan riset = negara, Yang membayar biaya APC atau biaya melanggan jurnal = negara, Yang mendapatkan keuntungan (berlipat) = perusahaan penerbit Apakah kondisi di atas dapat dikelompokkan sebagai tindakan memperkaya orang lain (penerbit)?

Judul yang diminta oleh panitia berbahasa Inggris. Kalau diindonesiakan kurang lebih adalah "Strategi mengembangkan dan memilih telemedicine untuk pelayanan penyakit endokrin (tele-endokrinologi): dari layanan primer sampai ke rujukan". Ini merupakan file presentasi di Malang Endocrine Update XII pada 7 November 2020. Presentasi ini menyampaikan perkembangan telemedicine, khususnya di era pandemi serta potensinya untuk bidang penyakit endokrin.

Presentasi ini disajikan pada seminar daring #22 yang diselenggarakan oleh Adinkes pada tanggal 21 Juli 2002. Nara sumber lain adalah Prof Dr dr Budi Wiweko MPH SpOG(K) (IMERI FK UI) dan dr Moch Abdul Hakam SpPD (Kadinkes kota Semarang). Dalam seminar tersebut saya menyampaikan tentang perkembangan big data, contoh implementasi serta tantangannya bagi dinas kesehatan di Indonesia.Video presentasi yang telah dimodifikasi tersedia di https://www.youtube.com/watch?v=4F2DayvuByk

Breeding sites and larvae density with malaria cases in PT. Freeport Indonesia, mimika regency in 2013-2017: spatio-temporal approachPurpose: This study aims to determine the relationship between breeding sites and larval density in malaria cases in the Lowland region of PT. Freeport Indonesia Mimika Regency 2013-2017. Method: This study uses secondary data from PT. Freeport Indonesia in 2013 - 2017. The data used in this study included malaria case data, breeding sites and breeding sites and larval density in the lowland PTFI area from 2013-2017. Data analysis included descriptive analysis to see the distribution picture, bivariate analysis to examine the relationship between variables and spatial analysis to find out the distribution of cases and breeding sites.Results: The number of malaria cases from 2013-2017 in the Lowland PTFI region was 267 (37%) from a total population of 713 people. The highest case occurred in 2014 as many as 70 cases. Distribution of cases based on sex occurs mostly in men, in the age group of 46-50 years, based on the relatively equal employment status between employees and non-employees and based on the location, many occur in Kuala Kencana. Types of breeding sites with larvae density have a significant relationship (p, Background: Malaria is an endemic disease in the PTFI area of Mimika Regency. Even though malaria control have been massive, malaria cases still exist. The application of control measures is carried out mainly in the Lowland region. The existence of breeding sites is a good habitat for Anopheles larvae. This study aims to determine the relationship between breeding sites and larval density in malaria cases in the Lowland region of PT. Freeport Indonesia Mimika Regency 2013-2017.Methods: This study uses secondary data from PT. Freeport Indonesia in 2013 - 2017. The data used in this study included malaria case data, breeding sites and breeding sites and larval density in the lowland PTFI area from 2013-2017. Data analysis included descriptive analysis to see the distribution picture, bivariate analysis to examine the relationship between variables and spatial analysis to find out the distribution of cases and breeding sites.Results: The number of malaria cases from 2013-2017 in the Lowland PTFI region was 267 (37%) from a total population of 713 people. The highest case occurred in 2014 as many as 70 cases. Distribution of cases based on sex occurs mostly in men, in the age group of 46-50 years, based on the relatively equal employment status between employees and non-employees and based on the location, many occur in Kuala Kencana. Types of breeding sites with larvae density have a significant relationship (p

Tujuan: Menganalisis efek suhu udara, kelembapan udara dan curah hujan terhadap kejadian leptospirosis secara temporal di Kabupaten Bantul tahun 2010-2018. Metode: Desain penelitian menggunakan studi ekologi berbasis time-series, antara faktor cuaca (suhu udara, kelembapan udara dan curah hujan) dari stasiun cuaca Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) DIY dan kejadian bulanan leptospirosis di Kabupaten Bantul selama periode 9 tahun, 2010-2018. Pearson’s correlation dan time-lag correlation dilakukan dengan STATA 13 guna mengamati asosiasi secara temporal, selanjutnya disajikan dalam grafik time-series dengan Microsoft Excel. Hasil: Karakteristik cuaca di Kabupaten Bantul untuk suhu udara, kelembapan udara, dan curah hujan masing-masing sebesar 27.2°C, 84%, dan 171 mm. Kejadian leptospirosis selama 2010-2018 sejumlah 779 kasus, tertinggi 120 kasus di bulan Mei dan 154 kasus pada tahun 2011. Suhu udara 3 bulan sebelumya (lag 3) berhubungan positif dan lemah terhadap kejadian leptospirosis (r=0.2493). Pola fluktuasi grafik time-series suhu udara tidak diikuti kejadian leptospirosis pada 2 tahun awal dan akhir periode. Kelembapan udara 1 bulan sebelumya (lag 1) berhubungan positif dan lemah terhadap kejadian leptospirosis (r=0.2921). Pola fluktuasi grafik time-series kelembapan udara tidak diikuti kejadian leptospirosis pada 2 tahun awal periode. Curah hujan 3 bulan sebelumya (lag 3) berhubungan positif dan sedang terhadap kejadian leptospirosis (r=0.5297). Pola fluktuasi grafik time-series curah hujan diikuti kejadian leptospirosis selama periode. Simpulan: Kejadian leptospirosis berhubungan dengan efek time-lag suhu udara, kelembapan udara dan curah hujan yang terjadi beberapa bulan sebelumnya. Diperlukan sistem kewaspadaan dini pemerintah dan masyarakat di daerah endemis menghadapi ancaman leptospirosis selama musim hujan.

Background: Google Trends has increasingly received attention as the potential data source for diseases surveillance in the last two decades. In Indonesia, Google Trends was detected as a novel predictor for dengue outbreak in national and sub-national level. Although the accuracy depended on online information seeking behavior, no study was performed at the state level. This approach is necessary to be assessed in order to measure the representativeness of the online health information seeking pattern captured by Google Trends. Objective: This study aimed to examine the online health information seeking behavior according to the history of health condition among Indonesian aged 15-60 years old. Methods: Online health information seeking behavior’ survey was conducted in 2017, involved 385 respondents. Questions were asked in three different parts including the online health information seeking in general, the use of social media, and the use of search engines. Statistical analysis was conducted using Prevalence odds ratio (POR) in Stata version 13. Results: Prevalence odds ratio analysis shows that person who ever experiences ill in the last three months is 1.63 (CI 95% 1.06-2.50) more likely to have access to the online health information on the Internet. Online health information seeking behavior seem to be in-line both using social media and search engines. The person who ever experiences ill in last three months is more likely to have access to the online health information on social media (POR 1.60; CI 95% 0.95-2.74) and search engines (POR 2.89; CI 95% 1.63-5.28). Moreover, looking for disease information on social media (POR 1.61; CI 95% 1.04-2.49) and search engines (POR 2.23; CI 95% 1.43-3.51) also influenced by health condition. Conclusions: History of health condition affects online health information seeking behavior. Further research needs to assess the Indonesian online health information seeking behavior related to a certain disease.

Spatial analysis the affordability of cigarette retailers on smoking behaviour high school students in Wakatobi DistrictPurpose: This study aims to analyze the spatial relationship of the affordability of cigarette retailers to the smoking behavior of high school students in the district. Wangi-Wangi and South district Wangi-Wangi, Wakatobi Regency.Method: This type of research is an analytical survey, using a cross-sectional design. With 94 samples taken randomly using a purposive sampling method.Results: Chi-square statistical tests show affordability of retailers (ρValue = 0.048), and friend smoking behavior (ρValue = 0.010) there is a statistical relationship with smoking behavior of high school students, GeoDa spatial regression test shows that affordability of retailers (p = 0.00922), friend's smoking behavior (p = 0.00204) and parents' smoking behavior (p = 0.03181) there is a spatial relationship with smoking behavior. Moran's Index is in the range of 0, Latar belakang: Indonesia masih menjadi negara ketiga dengan jumlah perokok aktif terbanyak di dunia (61, 4 juta perokok), setelah China dan India. Tahun 2013 proporsi penduduk di Indonesia pada umur ≥10 tahun menurut karakteristik. Proporsi terbanyak perokok aktif setiap hari pada umur 30-34 tahun sebesar 33,4 %, umur 35-39 tahun 32,2 %, sedangkan proporsi perokok setiap hari pada laki-laki lebih banyak dibandingkan perokok perempuan 47,5%. Berdasarkan data Susenas 2015, sebanyak 0,21 % usia 5-14 tahun telah menghisap rokok. Kemudian 19,65 % perokok berusia 15-24 tahun (Susenas, 2015). Data Prevalensi penduduk yang merokok di provinsi Sulawesi Tenggara tahun 2013 sebesar 21,8% untuk perokok aktif, 4,2 %. Penelitian ini bertujuan untuk menganalisi hubungan spasial keterjangkauan retailer rokok terhadap perilaku merokok siswa SMA di Kec. Wangi-wangi dan Ke. Wangi-wangi Selatan Kabupaten Wakatobi. Metode: Jenis penelitian ini adalah survey analitik, mengunakan rancangan crossectional. Dengan jumlah sampel 94 yang diambil secara acak menggunakan metode purposive sampling. Hasil: Uji statistik Chi-square menunjukkan keterjangkauan retailer (ρValue= 0,048), dan perilaku merokok teman (ρValue= 0,010) ada hubungan dengan perilaku merokok siswa SMA, Uji regresi spasial GeoDa menunjukkan bahwa keterjangkauan retailer (p=0,00922), perilaku merokok teman (p= 0.00204) dan perilaku merokok orang tua (p= 0.03181) terdapat hubungan spasial dengan perilaku merokok. Simpulan: Terdapat hubungan spasial antara keterjangkauan retailer, perilaku merokok teman dan perilaku merokok orang tua dengan kebiasaan merokok siswa SMA di Kecamatan Wangi-wangi dan Kecamatan Wangi-wangi Selatan Kabupaten Wakatobi.

Background: Digital traces are rapidly used for health monitoring purposes in recent years. This approach is growing as the consequence of increased use of mobile phone, Internet, and machine learning. Many studies reported the use of Google Trends data as a potential data source to assist traditional surveillance systems. The rise of Internet penetration (54.7%) and the huge utilization of Google (98%) indicate the potential use of Google Trends in Indonesia. No study was performed to measure the correlation between country wide official dengue reports and Google Trends data in Indonesia. Objective: This study aims to measure the correlation between Google Trends data on dengue fever and the Indonesian national surveillance report. Methods: This research was a quantitative study using time series data (2012–2016). Two sets of data were analyzed using Moving Average analysis in Microsoft Excel. Pearson and Time lag correlations were also used to measure the correlation between those data. Results: Moving Average analysis showed that Google Trends data have a linear time series pattern with official dengue report. Pearson correlation indicated high correlation for three defined search terms with R-value range from 0.921 to 0.937 (p ≤ 0.05, overall period) which showed increasing trend in epidemic periods (2015–2016). Time lag correlation also indicated that Google Trends data can potentially be used for an early warning system and novel tool to monitor public reaction before the increase of dengue cases and during the outbreak. Conclusions: Google Trends data have a linear time series pattern and statistically correlated with annual official dengue reports. Identification of information-seeking behavior is needed to support the use of Google Trends for disease surveillance in Indonesia.

Introduction. Breast cancer was count for 30.5% of all cancers diagnosed in Indonesia. Although preventable, breast cancer is mostly diagnosed in advanced stages and caused leading dead among females. Given the increasing growth of online information seeking behavior, adequate cancer health promotion through virtual setting is needed to tackle the massive increasing burden of breast cancer. Therefore this study aims to explore the community interest in breast cancer using Google Trends. Method. 5 years (from September 2013 to August 2018) information searches for breast cancer from Google were retrieved in Indonesian language. Data were downloaded at national and sub-region level to examine the pattern and distribution of queries. Results. Sporadic traces of information searches related to breast cancer from Google Trends presented the pattern and distribution of queries. Massive search happened in July 2015 and June 2017 following the died of Indonesian celebrity who suffered from breast cancer. However, the cancer awareness month every October does not impact the number of information searches. Considering the high influence of celebrities, many studies reveal the positive impact of celebrities involvement in health promotion. Celebrity can attract the public attention to health messages and increase the agreement of vaccination and screening for cancer. Thereby, celebrities involvement and availability of qualified breast cancer online information should be increased to win the breast cancer health promotion program in the digital era. Online information related to breast cancer could be disseminated through targetted risk population using Mobile JKN that has been downloaded by 1.5 million members. Conclusion. Google Trends could be potentially used as a novel tool to measure the dynamics of community interest in breast cancer in Indonesia. Therefore, adequate cancer health promotion through a virtual setting is the key to tackling the massive increasing burden of breast cancer in the digital era.