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Journal : Contagion: Scientific Periodical Journal of Public Health and Coastal Health

Distribution of Coronavirus Disease (Covid-19) in West Sumatra Province with Local Indicator of Spatial Association (LISA) Cluster Map Yudi Pradipta; Defriman Djafri; Ade Suzana Eka Putri; Radian Ilmaskal
Contagion: Scientific Periodical Journal of Public Health and Coastal Health Vol 5, No 1 (2023): CONTAGION
Publisher : Universitas Islam Negeri Sumatera Utara, Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/contagion.v5i1.14959

Abstract

The COVID-19 pandemic in West Sumatra Province indicates a greater number of cases and mortality. The spread of COVID-19 is related to the mobility of the population, so the potential for transmission between regions is difficult to control. This study aims to determine the local index used in evaluating the tendency for local spatial groupings and can show some form of spatial relationship. Spatial analysis were conducted on 2020 to analyze spatial distribution of Covid-19 in West Sumatera Province. Spatial relationship was assessed by Local Indicator of Spatial Association (LISA). Mapping can be done with the LISA cluster map. The data used is COVID-19 incidence data based on reports from district or city in West Sumatra Province in 4 June 2020. We used Open Geoda Software to analyze the spatial distribution. There is positive spatial autocorrelation and classification in hot spots, cold spots, and outliers in the spread of COVID-19 cases in West Sumatra Province. Hot spots were found in Padang City, Bukittinggi City, and Padang Panjang City. Cold spots also detected in several districts, that is West Pasaman, Pasaman, Payakumbuh, Solok, Padang Pariaman, Pariaman, Sawahlunto, and Sijunjung. The transmission of the COVID-19 case does not recognize regional boundaries, but the grouping of districts or cities based on regional vulnerability is important as part of local control efforts to allocate resources. Coordination and collaboration among local governments need to be strengthened in preventing transmission between regions and reducing the number of cases in vulnerable areas based on hot spots and cold spots from LISA cluster map. It’s necessary for intervention programs more focused and effectively. Keywords: COVID-19, Mapping, Spatial, Vulnerability
The Spread of the Chikungunya Outbreak in Solok District, West Sumatera Province - 2024 Pradipta, Yudi; Novnariza, Elsi; Basgoro, Muhammad Ilham; Masrizal, Masrizal
Contagion: Scientific Periodical Journal of Public Health and Coastal Health Vol 7, No 1 (2025): CONTAGION
Publisher : Universitas Islam Negeri Sumatera Utara, Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/contagion.v7i1.24246

Abstract

Chikungunya is one of the potential diseases of the outbreak in Indonesia. It is caused by the Chik Virus and transmitted through the bite of the Aedes aegypti mosquito. The severity of symptoms ranges from mild fever to, in some cases, temporary paralysis. In early January 2024, suspected chikungunya outbreaks were reported in several villages in Solok District. The Solok District Health Office conducted an epidemiological investigation to break the chain of transmission. This study aims to describe the epidemiological characteristics of Chikungunya cases in Solok District. We conducted a descriptive study on March – June 2024. Surveillance data of Chikungunya cases were collected from West Sumatera Provincial Health Office. Data analysis was performed by using open access software Epi Info 7, R-Studio, and QGIS. A total of 134 Chikungunya cases were reported. The investigation showed that the majority of Chikungunya cases were women (63.3%), aged 18-45 years (49.54%), most of cases lived in Cupak Village (20.86%), Kinari Village (20.14%), and Muara Panas Village (20.14%), the majority cases were students (28.38%), and housewives (28.38%). The majority of cases presented with fever (95.49%) and joint pain (90.23%), and overhalf developed a rash (55.97%), and no signs of bleeding (98.51%). The epidemic curve with a propagated type indicates the possibility of multiple waves of transmission through mosquito bites. Chikungunya outbreak in Solok District shows weaknesses in early warning and rapid response in disease control. The Solok District Health Office needs to strengthening surveillance system of Chikungunya and contact tracing on the field. Keywords:  Chikungunya, Mosquito, Outbreak, Vector Borne.
The Association Between Social Media Addiction and Mental Health Among Generation Z: A Cross-sectional Study in University X–West Sumatera, Indonesia Novnariza, Elsi; Pradipta, Yudi; Henda, Saidati Ashfi Dzakiya; Shabrina, Aisyah Jannatus
Contagion: Scientific Periodical Journal of Public Health and Coastal Health Vol 7, No 1 (2025): CONTAGION
Publisher : Universitas Islam Negeri Sumatera Utara, Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/contagion.v7i1.24102

Abstract

Mental health issues among adolescents in Indonesia are significant public health concern, with the prevalence rate reported 9.8%. Advances in information technology and widespread use of social media are factors that bring benefits as well as adverse effects on adolescent mental health. The study aimed to examine the association between social media addiction and the mental health of Generation Z college students. We used a cross-sectional study on May-July 2024 in University X, West Sumatera Province. The sample was 140 students based on Lemeshow’s sample size formula. We conducted purposive sampling in 15 faculties proportionally. Data were collected through interviews using structured questionnaires adopted from Social Media Addiction Scale (SMAS) and Self Report Questionnaire (SRQ)-20. Data were analyzed using linear regression test with 95% Confidence Interval. The Majority of respondents were female (60%), from 2023 cohort (26.43%), and lived in a boarding house (76.43%). The most frequently used social media by respondents were: Instagram (68.6%), TikTok (55%), and WhatsApp (50%). The most significant relationship (p-value<0.001) was found between social media addiction and students' mental health adjusted by gender, residential, and admission year of students. These findings suggest that social media addiction related to mental health issues among college students. It is recommended that the university collaborate with the health service to conduct regular screening and mental health assesment for students. Keywords: College Students, Generation Z, Mental Health, Social Media Addiction