Research is needed to create early warnings of dengue outbreaks inform stakeholders and control the disease. This analysis composes a comparative set prediction models including only meteorological variables; lag variables disease surveillance; as well combinations surveillance variables. Generalized linear regression were used fit relationships between predictor data outcome variable on basis from 2001 2010. Data 2011 2013 for external validation purposed accuracy model. Model evaluated...

Only a few studies have investigated the potential of using geotagged social media data for predicting patterns spatio-temporal spread vector-borne diseases. We herein demonstrated role human mobility in intra-urban dengue by weighting local incidence with geo-tagged Twitter as proxy across 45 neighborhoods Yogyakarta city, Indonesia. To estimate virus importation pressure each study neighborhood monthly, we developed an algorithm to dynamic mobility-weighted index (MI), which quantifies...

In response to the COVID-19 pandemic, mobile-phone data on population movement became publicly available, including Google Community Mobility Reports (CMR). This study explored utilization of mobility predict dynamics in Jakarta, Indonesia. We acquired aggregated and anonymized sets from 15 February 31 December 2020. Three statistical models were explored: Poisson Regression Generalized Linear Model (GLM), Negative Binomial GLM, Multiple (MLR). Due multicollinearity, three categories reduced...

Penetrasi internet dan media sosial di Indonesia semakin meningkat, dengan persentase pengguna terbesar berasal dari kaum muda. Internet dapat menjadi wahana untuk mempromosikan menjual produk kepada Penelitian ini bertujuan mengidentifikasi mendeskripsikan video YouTube yang potensial didapatkan oleh seorang ketika menggunakan kata kunci "rokok" dalam pencarian. Kami berhipotesis bahwa terkait rokok berisi materi mengacu pada kategori (1) tobacco advertising, promotion and sponsorship...

Human mobility and climate conditions are recognised key drivers of dengue transmission, but their combined individual role in the local spatiotemporal clustering cases is not well understood. This study investigated effects human weather on risk an urban area Yogyakarta, Indonesia.We established a Bayesian model for neighbourhood outbreak prediction evaluated performances two different approaches constructing adjacency matrix: one based geographical proximity other patterns. We used...

BACKGROUND:Twitter is a free social networking and micro-blogging service that enables its users to read share information with user media communities in messages no longer than 140-character.In the year of 2016, there were more 24 million Indonesian twitter sharing news, events, as well personal feelings experiences on Twitter.This study seeks validate search protocol health related terms using realtime Twitter data which can later be used understand if, how, reveal current situation...

Introduction: A health issue is filariasis including in Sigi Regency, brought on by filarial worms and spread mosquito bites. Filariasis a parasitic infection that threatens about one-third or 1.3 billion of the world’s population 83 countries are vulnerable to filariasis. This research intends examine impact behaviour environment occurrence Regency. Methods: The study used an observational analytic method with case control approach, involving 114 people from 13 villages whom 38 were cases...

Southeast Asia is a leptospirosis endemic with the highest estimated incidence of cases. This type research systematic review using PRISMA. These search results found 2.322 articles and only thirteen that matched criteria. Two discussed relationship between sewer conditions leptospirosis, one article presence trash bins nine rats standing water leptospirosis. There bins, rats, in Indonesia, Thailand, Malaysia there no Thailand Indonesia.

This study aims to assess the health challenges and need for promotion training in Mulyodadi village, Bantul. The focus group discussion (FGD) method was employed, involving head of sub-villages (dukuh) cadres, gather in-depth information. FGD findings highlighted key Mulyodadi, including prevalence both communicable non-communicable diseases, a lack public awareness about importance healthy lifestyle, unequal access information within community. It also found that dukuh cadres did not...

Awal tahun 2023, Pemerintah Indonesia secara resmi menetapkan kenaikan cukai rokok sebesar 10-15 persen (Permenkeu 191/2022). Bea Cukai, sebagai lembaga yang bertanggung jawab atas penerapan di Indonesia, menggunakan 25% dari pendapatan untuk sektor kesehatan. Namun, masih belum jelas sejauh mana Cukai mempromosikan isu kesehatan bentuk tanggung dalam mengelola cukai. Penelitian ini bertujuan menyelidiki apakah melalui rokok, dengan menganalisis konten akun X (sebelumnya dikenal Twitter)...

Background: Good decisions in policy-making rely on acquiring the best possible understanding at fast pace of what is happening and might happen next population. Immediate measurements predictions disease spread would help authorities take necessary action to mitigate rapid geographical potential emerging infectious diseases. Unfortunately, measuring human behavior nearly real-time, specifically a large scale, has been labor-intensive, time-consuming, expensive. Consequently, are often...

BACKGROUND: The YouTube channel is a promising platform to deliver health promotions because it can reach large population. However, few studies report experiences delivering promotion on the especially in Low-and-Middle-Income Countries. In 2017, we established digital program named INAHEALTH channel. AIM: We aim and lessons learned how develop using platform. METHODS: steps of developing started from assessment, designing working system, piloting implementing, evaluating, revising system...

This study seeks to validate a search protocol of ill health-related terms using Twitter data which can later be used understand if, and how, reveal information on the current health situation. We extracted conversations related disease postings set pre-defined keywords, assessed prevalence, frequency, timing such content in these conversations, validated how this was able detect relevant tweets. Classification Regression Trees (CART) algorithm train test protocols hits comparing those...

Introduction Coronavirus transmission is strongly influenced by human mobilities and interactions within between different geographical regions. Human mobility cities motivated several factors, including employment, cultural-driven, holidays, daily routines. Method We developed a sustained metapopulation (SAMPAN) model, an agent-based model (ABM) for simulating the effect of individual interaction behavior on spreading COVID-19 viruses across main Java Island, Indonesia. The considers social...

ABSTRACT The global incidence of diabetes mellitus is on the rise, posing a significant health challenge worldwide. Recent evidence indicates possible link between and temperature. This study aimed to examine effect temperature patient visits in Yogyakarta Province, Indonesia, which currently experiencing high burden an increasingly aging population. Daily data for 2021 were obtained from Indonesian Meteorological, Climatological, Geophysical Agency (BMKG). number was gathered BPJS Health...

Purpose: The 2018 healthcare waste management crisis catalyzed a critical review of the concerns expressed by Health Office (dinkes) and facilities regarding in Special Region Yogyakarta (DIY). Due to this crisis, Ministry hired Universitas Gadjah Mada (UGM) look into potential solutions promote DIY government policy responses. This paper examines strategy during times possible alternative solutions.
 Methods: uses focused group discussions reports involving separate groups (1)...

Latar belakang: Perubahan cuaca yang terjadi saat ini disebabkan oleh meningkatnya konsentrasi Gas Rumah Kaca dan dapat merubah elemen suhu, kelembaban, curah hujan. Meningkatnya iklim ekstrim basah menyebabkan beberapa daerah menjadi rawan banjir penyebab penyakit bawaan air seperti Leptospirosis. Tujuan penelitian yakni melihat hubungan temporal spasial faktor (suhu, hujan), kejadian dengan kasus leptospirosis di Kota Semarang serta prediksinya.Metode: Data cuaca, selama 10 tahun...

Abstract Background Human mobility could act as a vector to facilitate the spread of infectious diseases. In response COVID-19 pandemic, Google Community Mobility Reports (CMR) provide necessary data explore community further. Therefore, we aimed examine relationship between on dynamics in Jakarta, Indonesia. Methods We utilized from February 15 December 31, 2020. explored several statistical models estimate Jakarta. Model 1 was Poisson Regression Generalized Linear (GLM), 2 Negative...