Development of Smartphone-Based Early Alerts and Mosquito Monitoring System and Geographic Instrument System Applications

Authors

  • Kartini Kartini Department of Environmental Health, Polytechnic of Health, Ministry of Health, Aceh, Indonesia
  • Sofia Sofia Department of Environmental Health, Polytechnic of Health, Ministry of Health, Aceh, Indonesia
  • Nasrullah Nasrullah Department of Environmental Health, Polytechnic of Health, Ministry of Health, Aceh, Indonesia

DOI:

https://doi.org/10.3889/oamjms.2021.6127

Keywords:

Smartphone-Based Early Alertsp, Mosquito Monitoring System, Geographics Instrument System Applications

Abstract

BACKGROUND: At present, dengue fever is a threat to society and causes rapid death. Aedes aegypti mosquito bites can transmit disease to the public. Environmental factors in society are the primary role that can transmit Dengue hemorrhagic fever (DHF).

AIM: Creating a survey system using a smartphone for early alertness to larva monitoring in the Darul Imarah sub-district, Aceh Besar district.

METHODS: This study used a descriptive quantitative approach which was carried out by the survey method. The research location is located in Darul Imarah District, Aceh Besar District. Primary data contain the value of the Container index (CI), House index (HI), and Breteau index (BI). This study’s population was all cadres of Juru Jentik (jumantik) in the area of Darul Imarah District, AcehBesar District. The sample in this study was taken from a cadre of larva monitoring officers (jumantik) in the district of Darul Imarah, Aceh Besar. The data collection stage includes data collection of DHF cases from the Puskesmas and data entry. Then proceed with taking the coordinates of the research location and entering the HI and CI, and News Index (BI) data. Data collection begins with data buffering, grouping, and kernel density to be processed into Geographics Instrument System (GIS)-based data. then Analyze descriptive data to describe Smartphone Link. Next, Analytical Analysis of GIS Research Instruments is carried out followed by a checklist of CI, HI, BI data.

RESULTS: The results of research on larvae monitoring in Darul Imarah sub-district, it is known that of the 120 houses that were inspected for larvae, 74 houses were cheerful 46 houses were negative for larvae. The number of containers inspected from 120 houses was 502, with the results that 309 houses were found to be larvae and 193 houses were not found. The HI value obtained was 62%, the CI value was 61%, the BI value was 103%, the larva-free number value obtained was 38.3%. Based on these results, it is known that the density figure level is at the larva density level, which is included in the high-density category. In 2018, there were 16 cases of DHF in Darul Imarah District; in 2019, it increased to 60 cases, and in 2020 to 13 cases. The results of buffer analysis in the zone 50 m from the dengue case sufferer’s house showed that mosquitoes originating from the house of the dengue case sufferers were a risk factor that resulted in the transmission of dengue.

CONCLUSION: From the survey results, it is known that the density figure is in the high larva density category. The smartphone method is better used for larva density surveys by cadres than manual. Regular larva monitoring will increase this alert system to anticipate cases.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Plum Analytics Artifact Widget Block

References

Moreno-Madriñán MJ, Turell M. History of mosquitoborne diseases in the united states and implications for new pathogens. Emerg Infect Dis. 2018;24(5):821-6. https://do.org/10.3201/eid2405.171609 PMid:29664379 DOI: https://doi.org/10.3201/eid2405.171609

Murray CJ, Rosenfeld LC, Lim SS, Andrews KG, Foreman KJ, Haring D, et al. Global malaria mortality between 1980 and 2010: A systematic analysis. Lancet. 2012;379(9814):413-31. https://doi.org/10.1016/S0140-6736(12)60034-8 PMid:22305225 DOI: https://doi.org/10.1016/S0140-6736(12)60034-8

Kementerian Kesehatan RI. Kendalikan DBD Dengan PSN 3M Plus. Jakarta: Kementerian Kesehatan RI; 2016.

Dinkes Provinsi Aceh. Profil Kesehatan 2019 Provinsi Aceh. Aceh; 2019.

Caminade C, Kovats S, Rocklov J, Tompkins AM, Morse AP, Colón-González FJ, et al. Impact of climate change on global malaria distribution. Proc Natl Acad Sci U S A. 2014;111(9):3286- 91. https://doi.org/10.1073/pnas.1302089111 PMid:24596427 DOI: https://doi.org/10.1073/pnas.1302089111

Gubler DJ. The global emergence/resurgence of arboviral diseases as public health problems. Arch Med Res. 2002;33(4):330-42. https://doi.org/10.1016/s0188-4409(02)00378-8 PMid:12234522 DOI: https://doi.org/10.1016/S0188-4409(02)00378-8

Fouet C, Kamdem C. Integrated mosquito management: Is precision control a luxury or necessity? Trends Parasitol. 2019;35(1):85-95. https://doi.org/10.1016/j.pt.2018.10.004 PMid:30446394 DOI: https://doi.org/10.1016/j.pt.2018.10.004

Hussain-Alkhateeb L, Kroeger A, Olliaro P, Rocklöv J, Sewe MO, Tejeda G, et al. Early warning and response system (EWARS) for dengue outbreaks: Recent advancements towards widespread applications in critical settings. PLoS One. 2018;13(5):e0196811. https://doi.org/10.1371/journal.pone.0196811 Mid:29727447 DOI: https://doi.org/10.1371/journal.pone.0196811

Msellemu D, Gavana T, Ngonyani H, Mlacha YP, Chaki P, Moore SJ. Knowledge, attitudes and bite prevention practices and estimation of productivity of vector breeding sites using a habitat suitability score (HSS) among households with confirmed dengue in the 2014 outbreak in Dar es Salaam, Tanzania. PloS Negl Trop Dis. 2020;14(7):e0007278 https://doi.org/10.1371/journal.pntd.0007278 PMid:32614855 DOI: https://doi.org/10.1371/journal.pntd.0007278

Kan CC, Lee PF, Wen TH, Chao DY, Wu MH, Lin NH, et al. Two clustering diffusion patterns identified from the 2001-2003 dengue epidemic, Kaohsiung, Taiwan. Am J Trop Med Hyg. 2008;79(3):344-52. PMid:18784225 DOI: https://doi.org/10.4269/ajtmh.2008.79.344

Jeefoo P, Tripathi NK, Souris M. Spatio-temporal diffusion pattern and hotspot detection of dengue in Chachoengsao Province, Thailand. Int J Environ Res Public Health. 2011;(1):51-74. https://doi.org/10.3390/ijerph8010051 PMid:21318014 DOI: https://doi.org/10.3390/ijerph8010051

Vazquez-Prokopec GM, Kitron U, Montgomery B, Horne P, Ritchie SA. Quantifying the spatial dimension of dengue virus epidemic spread within a tropical urban environment. PLoS Negl Trop Dis 2010;4(12):920. https://doi.org/10.1371/journal.pntd.0000920 DOI: https://doi.org/10.1371/journal.pntd.0000920

Hassan AN, Onsi HM. Remote sensing as a tool for mapping mosquito breeding habitats and associated health risk to assist control efforts and development plans: A case study in Wadi El Natroun, Egypt. J Egypt Soc Parasitol. 2004;34(2):367-82. PMid:15287164

Srivastava A, Nagpal BN, Joshi PL, Paliwal JC, Dash AP. Identification of malaria hot spots for focused intervention in tribal state of India: A GIS based approach. Int J Health Geogr. 2009;8:30. https://doi.org/10.1186/1476-072X-8-30 PMid:19457227 DOI: https://doi.org/10.1186/1476-072X-8-30

Lozano-Fuentes S, Wedyan F, Hernandez-Garcia E, Sadhu D, Ghosh S, Bieman JM, et al. Cell phone-based system (Chaak) for surveillance of immatures of dengue virus mosquito vectors. J Med Entomol. 2013;50(4):879-89. https://doi.org/10.1603/me13008 PMid:23926788 DOI: https://doi.org/10.1603/ME13008

Scavuzzo JM, Trucco F, Espinosa M, Tauro CB, Abril M, Scavuzzo CM, et al. Modeling Dengue vector population using remotely sensed data and machine learning. Acta Trop. 2018;185:167-75. https://doi.org/10.1016/j.actatropica.2018.05.003 PMid:29777650 DOI: https://doi.org/10.1016/j.actatropica.2018.05.003

Setiawan TA, Ilyas A, A. P. W. Pencegahan dan edukasi masyarakat dalam penanganan endemik penyakit berbasis web untuk peningkatan kesehatan masyarakat di kota pekalongan. J Litbang Kota Pekalongan. 2018;15:35-42.

Blanco GA, Cooper EL. Immune systems, geographic information systems (GIS), environment and health impacts. J Toxicol Environ Health B Crit Rev. 2004;7(6):465-80. https://doi.org/10.1080/10937400490512375 PMid:15586880 DOI: https://doi.org/10.1080/10937400490512375

Downloads

Published

2021-08-02

How to Cite

1.
Kartini K, Sofia S, Nasrullah N. Development of Smartphone-Based Early Alerts and Mosquito Monitoring System and Geographic Instrument System Applications. Open Access Maced J Med Sci [Internet]. 2021 Aug. 2 [cited 2024 Apr. 20];9(E):734-9. Available from: https://oamjms.eu/index.php/mjms/article/view/6127

Issue

Section

Public Health Education and Training

Categories

Most read articles by the same author(s)