DOI: https://doi.org/10.14710/jpki.18.1.25-33

Perspectives of The Community Regarding Electronic-Based Dengue Vector Surveillance in the COVID-19 Pandemic

*Aryani Pujiyanti  -  Balai Besar Penelitian dan Pengembangan Vektor dan Reservoir Penyakit Salatiga, Indonesia
Wiwik Trapsilowati  -  Balai Besar Penelitian dan Pengembangan Vektor dan Reservoir Penyakit Salatiga, Indonesia

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Abstract

Background: Penjaga is a google form-based application that helps families share their weekly larva monitoring data online. A study of community perceptions of the Penjaga application needs to be carried out to see the advantages and barriers to its implementation. This study measures the response rate and the public's perception of the online larva monitoring application.

Method: The study used a cross-sectional design. Data were collected through an online survey involving 284 households in RW 3 and 7 in the South Rejowinangun Village, Magelang City, Central Java Province, in 2021. The online questionnaire includes questions about demographic information, perceptions of the application (convenience of use, duration of use, appearance, and benefits for preventing dengue), barriers to use, and suggestions for application improvement. Data analysis was done descriptively using the Product-Moment correlation statistical test.

Results: Most respondents (59.5%) were female and 56.3% had completed their senior high education. Most of the respondents were in their pre-retirement and middle-aged. An average response rate of 86.3 % indicated that the family answered the application questions satisfactorily. The response rate dropped by 5.8 % when the health cadres released the application assistance. The community views the Penjaga application as user-friendly, quick, easy to use and learn, practical, and fascinating. The three most common challenges are the lack of respondents’ cell phone data quota and familiarity with Android devices. This study encourages health cadres to use the app, especially for elderly and non-mobile phone-owning families.

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Keywords: dengue;vector surveillance;G1R1J;perception;online monitoring

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Section: Research Article
Language : EN
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  1. Maula AW, Fuad A, Utarini A. Ten-years trend of dengue research in Indonesia and South-east Asian countries: a bibliometric analysis. Glob Health Action [Internet]. 2018;11(1). Available from: https://doi.org/10.1080/16549716.2018.1504398
  2. The Ministry of Health Republic of Indonesia. Indonesia Health Profil 2018. Jakarta: The Ministry of Health Republic of Indonesia; 2019
  3. Central Java Provincial Health Office (Indonesia). Central Java Province DHF Program Report 2016-2018. Semarang: Central Java Provincial Health Office (Indonesia); 2018
  4. Wijayanti SPM, Sunaryo S, Suprihatin S, McFarlane M, Rainey SM, Dietrich I, et al. Dengue in Java, Indonesia: Relevance of Mosquito Indices as Risk Predictors. PLoS Negl Trop Dis. 2016;10(3):1–15
  5. Ong J, Aik J, Ng LC. Short report: Adult aedes abundance and risk of dengue transmission. PLoS Negl Trop Dis [Internet]. 2021;15(6):1–10. Available from: http://dx.doi.org/10.1371/journal.pntd.0009475
  6. Huvaid SU, Zia HK. Policy Analysis of One House One Jumantik Movement in Padang City. Proc 1st Int Conf Heal Sci Biotechnol (ICHB 2021). 2022;47(Ichb 2021):135–40
  7. Direktorat Jenderal Pengendalian dan Pencegahan Penyakit. Petunjuk teknis implementasi PSN 3M-Plus dengan gerakan 1 rumah 1 jumantik. Jakarta: Kementerian Kesehatan Republik Indonesia; 2016. 55 p
  8. Directorate General of Disease Prevention and Control of the Ministry of Health of Indonesia. Circular Letter of Directorate General of Disease Prevention and Control of the Ministry of Health HK.02.02/IV/2360/2020:The implementation of prevention and control of DHF in the COVID-19 pandemic situation. Indonesia; 2020
  9. Ong SQ, Ahmad H, Ngesom AMM. Implications of the COVID-19 lockdown on dengue transmission in Malaysia. Infect Dis Rep. 2021;13(1):148–59
  10. Wiyono L, Rocha ICN, Cedeno TDD, Miranda AV, Prisno DEL. Dengue and COVID-19 infections in the ASEAN region: A concurrent outbreak of viral diseases. Epidemiol Health. 2021;43:1–5
  11. Hossain MS, Amin R, Al Mosabbir A. COVID-19 onslaught is masking the 2021 dengue outbreak in Dhaka, Bangladesh. PLoS Negl Trop Dis [Internet]. 2022;16(1):1–6. Available from: http://dx.doi.org/10.1371/journal.pntd.0010130
  12. Lu X, Bambrick H, Pongsumpun P, Dhewantara PW, Toan DTT, Hu W. Dengue outbreaks in the COVID-19 era: Alarm raised for Asia. PLoS Negl Trop Dis [Internet]. 2021;15(10):6–11. Available from: http://dx.doi.org/10.1371/journal.pntd.0009778
  13. Novitasari A. Pemantauan Jentik Nyamuk Online Cegah Demam Berdarah Dengue di Masa Pandemi COVID-19. Pros Semin Nas Unimus. 2020;3:506–12
  14. Putri SA, Anggraeni S. Perancangan Sistem Catatan Jentik Berbasis Android Dengan Metode Certainty Factor Untuk Pengendalian Endemik Dbd. J Techno Nusa Mandiri. 2019;16(2):147–54
  15. Masturoh I, Sugiarti I, Riandi MU. Evaluasi Sistem Surveilans Demam Berdarah Dengue di Kota Tasikmalaya. Balaba J Litbang Pengendali Penyakit Bersumber Binatang Banjarnegara. 2021;1:57–72
  16. Fuadzy H, Prasetyowati H, Astuti EP, Penelitian L, Pangandaran K, Kesehatan BL, et al. Kepatuhan Jumantik Rumah dalam Mengisi Kartu Jentik Sebagai Upaya Surveilans Vektor DBD di Kecamatan Pondok Aren Kota Tangerang Selatan House Larva Monitoring Obedience to Fill Control Form As a Vector Surveillance Effort in Pondok Aren Sub District South. Balaba. 2020;16(2):159–68
  17. Srisantyorini T, Fiharsi PE, Romdhona N, Ernyasih E. Mosquito Nest Eradication Behavior (PSN) in Communities in Rawabuntu Region South Tangerang. Muhammadiyah Int Public Heal Med Proceeding. 2021;1(1):1039–52
  18. Marina R, Ariati J. Peran pendampingan kader jumantik terhadap tindakan masyarakat yang berhubungan dengan keberadaan jentik Aedes sp di wilayah Kecamatan Payung Sekaki Kota Pekanbaru. In: Prosiding Seminar Nasional Penelitian dan Pengabdian 2021: Penelitian dan Pengabdian Inovatif pada Masa Pandemi COVID-19. 2021. p. 1013–24
  19. Mardiana T, Purnanto WA. Google Form Sebagai Alternatif Pembuatan Latihan Soal Evaluasi. In: The 6th University Research Colloquium 2017 Universitas Muhammadiyah Magelang [Internet]. 2017. p. 183–8. Available from: http://journal.ummgl.ac.id/index.php/urecol/article/download/1582/701
  20. Vasantha RN, Harinarayana NS. Online survey tools : A case study of Google Forms Online. Sci Comput Inf Res Trends Eng [Internet]. 2016;(1):1–12. Available from: https://www.researchgate.net/publication/326831738
  21. Budiharjo T, Surati, Wijayanta S. Android based mosquito monitoring model for Dengue Hemorrhagic Fever Control. J Med Sci Clin Res. 2018;6(12):207–11
  22. Prasetya APE, Nurhayati OD, Martono KT. Sistem Monitoring Jentik Nyamuk Di Desa Muktiharjo Berbasis Mobile. J Teknol dan Sist Komput. 2016;4(1):26
  23. Andersson N, Beauchamp M, Nava-Aguilera E, Paredes-Solís S, Šajna M. The women made it work: Fuzzy transitive closure of the results chain in a dengue prevention trial in Mexico. BMC Public Health. 2017;17(Suppl 1)
  24. Aini R, Rohman H, Widiastuti R, Sulistyo A. Upaya Peningkatan Deteksi Breeding Place Demam Berdarah Dengue Dengan Aplikasi Berbasis Android Di Kecamatan Imogiri Bantul Yogyakarta. J Pengabdi. 2019;2(2):167
  25. Qi S, Sun Y, Yin P, Zhang H, Wang Z. Mobile phone use and cognitive impairment among elderly Chinese: A national cross-sectional survey study. Int J Environ Res Public Health. 2021;18(11)
  26. Mohadisdudis HM, Ali NM. A study of smartphone usage and barriers among the elderly. Proc - 2014 3rd Int Conf User Sci Eng Exp Eng Engag i-USEr 2014. 2015;109–14
  27. Perdani AL, Komariah RN, Srinatania D. Penggunaan Aplikasi Mobile Technology Untuk Deteksi Breeding Place Pencegahan Demam Dengue : Literature Review. Risenologi. 2021;2018(September):1–5
  28. Sulat JS, Prabandari YS, Sanusi R, Hapsari ED, Santoso B. The validity of health belief model variables in predicting behavioral change: A scoping review. Health Educ. 2018;118(6):499–512

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Last update: 2025-01-22 01:14:28

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