IJCRR - 13(18), September, 2021
Pages: 94-105
Date of Publication: 26-Sep-2021
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The Utilization of Mobile-Based Information Technology in the Management of Dengue Fever in the Community Year 2019-2020: Systematic Review
Author: Kholis Ernawati, Heramitha Azahra, Alya Namira, Lathifah H. Yuhen, Asa G. Karuniawan, Ali A. Mecca, Raudha Kasmir, Nurmaya, Muhamad Fathurrahman, Dewi Susanna, Zwasta P. Mahardhika
Category: Healthcare
Abstract:Introduction: Dengue fever is a public health problem that causes outbreaks in various regions of the country, including Indonesia, with high morbidity and mortality rates. Advances in information technology have introduced new design approaches that support patient education. Objective: This article aims to discuss mobile-based information technology to prevent dengue fever in society using a systematic review approach. Methods: This research method used a systematic review approach with the PRISMA protocol. The article search process was accessed on three electronic databases, namely PubMed, PLOS ONE, and Google Scholar. The keywords used in the search for journal articles are mobile applications, control of dengue fever, health promotion, and community. The articles' criteria are primary data, year of publication (January 1, 2019 - October 6, 2020), in English, peer review, full-text articles, and discuss the use of mobile applications in controlling dengue fever. Result: The result obtained seven articles according to the inclusion criteria. The health applications consist of seven models, Mozzify, SMS, e-learning, FeverDX, Mobuzz, ThaiDengue, and VECTORS. The applications' functions are as an educational medium, a dengue reporting system, and a prediction of dengue cases. Conclusion: The use of mobile-based health applications could improve public knowledge and increase community awareness in handling dengue fever.
Keywords: Mobile application, Dengue fever, Control of Dengue Fever, Health promotion, Health education, Community participation
Full Text:
INTRODUCTION
Dengue fever is a severe public health problem that causes outbreaks in Indonesia's various regions with high morbidity and mortality rates. Dengue fever is an infection caused by the dengue virus and transmitted by the Aedes aegypti and Aedes albopictus mosquitoes. Based on data from the Ministry of Health, nearly 390 million people are infected each year, until April 2020, the number of dengue cases in Indonesia has reached 39,876 cases.1At the beginning of 2019, data entered until January 29, 2019, 13,683 dengue sufferers, reported from 34 provinces with 132 cases of whom died. Several regions were recorded to have reported extraordinary events of dengue fever, including Manado City (North Sulawesi) and seven districts/cities in NTT, namely East Sumba, West Sumba, West Manggarai, Ngada, South Central Timor, Ende, and East Manggarai.2
Global control strategies have been developed in the form of vector control, including chemical control, biological, and physical.3In controlling dengue fever, Indonesia implements mosquito nest eradication. Mosquito nest eradication is a program to prevent the breeding of the Aedes aegypti mosquito, which acts as a carrier for the dengue virus through 3M-Plus, such as draining or cleaning water reservoirs, closing water reservoirs tightly, burying used goods, raising mosquito larvae-eating fish, spreading larvacides in water storage, using mosquito repellent and fogging using malathion and fenthion.4
The success of mosquito nest program can be measured by the larva free rate. If the larva free rate ≥ 95% is expected to prevent or reduce cases of dengue transmission.5In 2017, the larva free rate amounted to 46.7%, so that it has not met the program target.4Indonesia is starting to handle dengue fever by using mobile-based applications in the form of education (educational game applications) and mapping of areas with dengue cases (SICANTIK and Citra Quickbird).6,7,8 These applications are expected to assist in the prevention and control of dengue fever cases.6,7Meanwhile, in the world, Brisbane's method is almost the same as in Indonesia, which shows successful regulation because larvae habitat is regulated and possible. Government decisions are assisted by public compliance so that mosquito control in Brisbane can affect Aedes aegypti.9For neighbouring countries such as Malaysia, they still use dengue fever control techniques with WHO recommendations, namely vector control, active disease surveillance, emergency preparedness, room capacity, and vector control training and research.10,11With the results of vector control of dengue fever in Malaysia, it is considered a slow reaction.12Meanwhile, in Brazil, handling dengue fever has been carried out by developing unique technologies such as the transgenic mosquito and the Wolbachia bacteria and supported by the Brazilian national program. This control method is increasing and demonstrating the potential success that science supports.13,14
In Nicaragua, researchers found maps that allow health workers to identify areas at greater risk of an outbreak. The smartphone is a product of technological innovation that offers essential features to spread the disease to follow. It can consolidate almost instantly when reports from the public use smartphone-based surveillance applications for health workers. It can shorten response times and provide authorities with a more accurate picture of the disease situation for intervention planning and execution.15
Based on the explanation above, this article will discuss mobile-based information technology to prevent dengue fever in the community using a systematic review approach.
METHOD
The research method used a systematic review approach based on the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) protocol.16 The PRISMA protocol is used to identify research articles relevant to the purpose of writing articles. The article search process was accessed on three electronic databases, namely PLOS ONE, PubMed, and Google Scholar. The keywords used in the search for journal articles are mobile applications, control of dengue fever, health promotion, and community.
The criteria for the articles used are primary data, year of publication (January 1, 2019 - October 6, 2020), in English, have gone through the peer review stage, full-text articles, and discuss the use of mobile applications in controlling dengue fever. Data extraction was carried out through the identification stage by searching for articles from the database, screening to determine the period, feasibility, and screening in determining the title of the item to be selected based on inclusion criteria. The search results for articles are then grouped by; (a) research location, research design, respondent involvement, and research results, (b) article frequency distribution based on socio-demographic factors, and (c) health applications based on components, strengths, weaknesses, benefits, and recommendations for improvement.
The descriptive narrative analyses are based on the utilization of information technology in the health sector, advantages and weaknesses of using information technology in the health sector, the effect of information technology media on increasing knowledge of dengue fever, the effect of education with mobile-based media on knowledge of dengue fever, and the influence of knowledge of dengue fever on changes in dengue fever management behaviour.
RESULT
The selection results based on keywords and following the PRISMA protocol obtained 36,187 articles. Furthermore, at the screening based on the year of publication (January 1, 2019 - October 6, 2020), there were 5,474 articles. Screening of journals in English, full text, and the peer review phase obtained from PLOS ONE, PubMed, and Google Scholar, received 212 articles. An eligibility study was conducted to eliminate articles that did not meet the established inclusion criteria. In the last stage, seven articles were obtained according to the inclusion criteria.
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DISCUSSION
Utilization of Information Technology in the Health Sector
People are increasingly using the use of information technology at various economic and social strata levels.23 To overcome challenges in the health sector due to limited resources and sustainability, the strategy that can be taken is increasing information and communication technology (ICT).24 In recent years, in fighting dengue, public health authorities worldwide have adopted new technology and developed and implemented a different digital vector surveillance system where public members can participate in some form of active surveillance of mosquitoes in the field.15
Given the complexities of modern medicine, it cannot be denied that information technology will increase the quality of health care.25 The world health organization has urged its member countries to develop the infrastructure for information and communication technology (ICT). The use of ICTs in health care has shown great potential in improving the quality of life by facilitating community support for independent living.26
Technology information has the potential to improve the quality, safety, and efficiency of health services. Delivering quality health care requires providers and patients to integrate complex information from multiple sources. For example, Telehealth uses telecommunications technology to provide health-related services and information supporting patient care, administrative activities, health education, health services, and private information.27Mirzayi and Rafe stated that Health Information Technology (HIT) is an information processing application that involves computer hardware and software that can be used to manage information about individuals and groups of patients' health and medical care.28
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In Thailand, there is a technology called a geographic information system (GIS). The technology is an initiative to support dengue fever control with an automated computer-based system to capture, retrieve, manage, display, and analyze large amounts of spatial and temporal data in a geographic context. Roads, residential buildings, and other relevant data can be obtained and mapped to form a base map layer using Arcview GIS software.29Data with mapping in an area and monitoring the severity of dengue cases can be quickly identified. Epidemiological analysis of the Application can reduce the impact severity when an outbreak occurs.30
Advantages and Weaknesses of Using IT in the Health Sector
The use of technology in the dengue epidemic in several journals has made research participants get practical and satisfactory information. In Japan, the Mozzify Application (Table 3) has succeeded in getting the research participants' satisfaction. 37 of the 50 people whose data were taken gave a value of 4 out of 5 indicators of satisfaction.17Even in Thailand, an application called ThaiDengue Application (Table 3) succeeded in providing satisfaction to the 400 people tested.21
Information technology application-based systems can increase public awareness to take preventive measures, especially dengue fever attacks. 31 An application called RadarAedes App was even developed independently by a local community in Brazil to assist local governments in monitoring their area from the potential spread of dengue fever infection.32
Technology-based preventive measures provide users with various information about dengue fever, such as case reports, spread areas, and preventive procedures.17In Nepal, a study was conducted that compared the community who received information on knowledge of dengue virus prevention conventionally with those who received information from applications based on short message services (SMS), and it turned out to have significant results compared to people who received conventional information.18
An application-based early warning system was developed and tested in Brazil, Malaysia, and Mexico to make the early warning system more effective and efficient for dengue fever cases. As a result, this system proved to be pragmatic in making the early warning system more effective and efficient.31,33 In Saraphi, Thailand, a digital data collection application called GIS, which functions to collect geographic data, was tested. It was proven that the data collected was more accurate and undoubtedly more efficient.34 A digital data collection application called GeoApps, which was tested in Brazil, has been proven to be able to collect data related to health in this case, including dengue fever cases to make it faster and more efficient and to be able to help Brazil's integrated health service provider (SIAB).35
Effect of Information Technology Media on Increasing Knowledge of Dengue Fever
Over the past ten years, mobile phones have provided innovative and cost-effective strategies for the global health community to address dengue prevention and management challenges. Marquez's research in 2020, the Mozzify Application (Table 3) is useful as an integrated strategic health intervention system that promises to report and map dengue fever cases, and disseminating information about dengue among the general public and health professionals.17
Besides, there is also a Mobile Short Message Service (SMS), a low-cost health promotion intervention that can increase knowledge and implementation in preventing dengue in affected communities. Mobile SMS is a practical, acceptable, and appropriate health intervention tool to improve dengue fever prevention in the community. These interventions can be used as promising tools in health education regarding dengue and other diseases. People are accustomed to using mobile phones daily, so shifting health promotion via SMS is an appropriate and realistic step.18
In addition to helping the more comprehensive community access information more quickly, information technology media can also be designed to make it easier for doctors and medical personnel to increase compliance with clinical practice guidelines in managing and preventing diseases such as arbovirus infection in health care settings. For example, the mHealth FeverDx Application shows adequate performance in simulated emergency consultations. The guide module allows general practitioners to quickly get an offline reference to practical clinical guides for acute fever symptoms such as Zika, dengue, Chikungunya, and various infections commonly found in tropical regions.20
In the future, researchers must develop more modern designs to become more interesting virtual games for children.36Advances in information technology have introduced new design approaches that support health care delivery and patient education. Health care information technology can empower patients and support the transition from a role in which the patient is a recipient of passive care services to an active role in which the patient is informed, has choices, and is involved in the decision-making process.37
The Effect of Education with Mobile-based Media on Knowledge of Dengue Fever
Knowledge is an essential determinant that becomes the final determinant of health behaviour, such as attitudes, subjective norms, risk perception, and independence often begins with knowledge.38 The utilization of knowledge about dengue fever to the community using the mHealth application in videos, diagnosis, management, management of dengue and mosquito vector control methods, and having an online discussion forum. This feature can increase awareness of symptoms, management of dengue fever, and vector control.17The use of e-learning in education is easier to understand and can provide information quickly so that health education can be received via mobile phones.19This shows that the quality of active dengue fever prevention behaviour increases after health education with mobile application-based media.39,40The effect of education on knowledge of dengue fever is in line with research conducted by Ernawati et al. in 2019, which said that there was a relationship between knowledge and exposure to information in the vector control of dengue mosquitoes (p-value = 0.000) dengue fever in Koper Village, Kresek District, Tangerang Regency.41In the research of Elsa et al. in 2017, health education for the community can increase the level of knowledge and participation in eradicating mosquito nests (p-value = 0.000).42Education does not necessarily change people's knowledge. As found in research conducted by Ernawati et al. in 2018, there is no difference in knowledge about dengue fever before and after counselling conducted to homemakers in Serdang, Kemayoran, and Jakarta (p-value = 0.087).43
The Influence of Knowledge of Dengue Fever on Changes in Dengue Fever Management Behavior
Knowledge of the mosquito that spreads dengue fever and its control is an essential factor in controlling transmission.44Although efforts have been made to stop dengue outbreaks in various parts of the world and particularly in tropical countries such as India and Southeast Asian countries, concerning the importance of entomological surveillance, The findings of the current literature study agree that behaviour in controlling dengue fever during an outbreak is also very crucial.45The knowledge possessed by a person to promote positive behaviour change in the prevention and control of dengue fever tends to share information and achievements with family and friends.46
Lack of awareness of dengue problems tends to reduce behaviour in preventive measures.47Lack of awareness of dengue symptoms in the community can lead to delays in patients getting appropriate medical attention.48Public knowledge and preventive behaviour regarding the causes, transmission, prevention, and treatment of dengue fever are significant socio-cultural factors that have influenced dengue fever control measures.49Behavioral-influenced activities must be supported by proper education regarding a healthy home environment that will reduce the risk of spreading dengue fever.50
The health belief model is a model of social cognition that is widely used to predict health behaviour. This model shows that a change in behaviour or action can be expected if a person feels at risk or susceptible to disease (perceived vulnerability).51People who feel they are at risk of dengue fever immediately visit a health care provider compared to those who feel otherwise.52Health care-seeking behaviour is also greatly influenced by the inadequacy of primary health care facilities in providing adequate services to dengue fever patients.53
People with better knowledge are more likely to have a more severe attitude towards dengue and better prevention practices.54Knowledge of dengue fever symptoms, modes of transmission, prevention practices, and disease management tends to change their belief that dengue fever is a severe and threatening disease.17This is in line with research conducted by Ernawati et al. found that increased knowledge can improve mosquito nest eradication behaviour in Kresek village, rural areas (t-value = 4.68) and information sources mosquito nest eradication behaviour in Kresek village, Tangerang Regency, Indonesia (t-value = -3.32).55
CONCLUSION
There are seven mobile-based health applications developed in 2019-2020, namely Mozzify, SMS, e-learning, FeverDX, Mobuzz, ThaiDengue, and VECTOS. The application functions as an educational medium (Mozzify, SMS, e-learning, and Mobuzz), a reporting system (FeverDX, ThaiDengue, and VECTOS), and prediction of dengue cases (ThaiDengue and VECTOS). As an educational medium, health applications that have been tested on the public are proven to be accepted by the community and can increase people's knowledge. The use of mobile-based dengue fever health applications can help increase community early awareness in handling dengue fever. However, not all people can access these health applications because there is limited internet coverage.
RECOMMENDATION
The research results need to be followed up by the government in each country using these health applications worldwide. The limited reach of the internet network, which can become an obstacle in the use of health applications by all society components, also needs to get the local government's attention so that a solution to the problem is immediately sought.
Authors' Contribution: The document should identify all individuals who meet authorship requirements as authors and who are willing to accept public responsibility for the material, design, or revision of the manuscript. The manuscript was revised and reviewed by all contributors and given the final okay by them as well.
Acknowledgement
Thanks to YARSI University and the Ministry of Research and Technology Indonesia for their financial support for the publication. Thanks to the authors of the seven articles (i.e., Marquez Herbuela et al., Bhattarai et al., Mahalingam et al., Rodríguez et al., Lwin et al., Somboonsak, and Ocampo et al.), whose articles were used as material for this writing.
Conflict of Interest: None of the authors declared any conflict of interest.
Source of Funding: The Study was self-financed.
References:
-
Ministry of Health Republic of Indonesia. Increasing DHF Cases Amid the Struggle to Overcome Covid-19 [Meningkatnya Kasus DBD Ditengah Perjuangan Mengatasi Covid-19] [Internet]. 2019. p. 1. Available from: https://www.kemkes.go.id/folder/view/01/structure-publikasi-pusdatin-buletin.html [cited 2020 Oct 8].
-
Ministry of the Health Republic of Indonesia. Preparedness for Facing the Increased Incidence of Dengue Fever in 2019 [Kesiapsiagaan Menghadapi Peningkatan Kejadian Demam Berdarah Dengue Tahun 2019] [Internet]. 2019. p. 1. Available from: http://p2p.kemkes.go.id/kesiapsiagaan-menghadapi-peningkatan-kejadian-demam-berdarah-dengue-tahun-2019 [cited 2020 Oct 8]
-
Rather IA, Parray HA, Lone JB, Paek WK, Lim J, Bajpai VK, et al. Prevention and control strategies to counter dengue virus infection. Front Cell Infect Microbiol. 2017;7(JUL):1–8. doi: 10.3389/fcimb.2017.00336.
-
Ministry of the Health Republic of Indonesia. InfoDatin the Situation of Dengue Hemorrhagic Fever [InfoDatin Situasi Demam Berdarah Dengue] Vol. 31, Journal of Vector Ecology. 2018. p. 71–8. Available from: https://www.kemkes.go.id/download.php?file=download/pusdatin/infodatin/InfoDatin-Situasi-Demam-Berdarah-Dengue.pdf [cited 2020 Oct 8]
-
G. Kasus, D. Berdarah, D. Di, K. Blitar, and E. T. Suryani. The Overview of Dengue Hemorrhagic Fever Cases in Blitar City from 2015 to 2017. J. Berk. Epidemiol.2018; 6:260–267. doi: 10.20473/jbe.v6i3.2018.260-267.
-
Ruliansyah A, Gunawan T, Juwono S. Utilization of remote sensing image and geographic information system to mapping vulnerable areas to Dengue Hemorrhagic Fever. Aspirator. 2011;2:72–81. Available from: https://media.neliti.com/media/publications/53850-ID-pemanfaatan-citra-penginderaan-jauh-dan.pdf [cited 2020 Oct 8]
-
Putri SA, Anggraeni S. Android-Based Mosquito Larva Recording System Design Using Certainty Factor Method For DHF Endemic Control [Perancangan Sistem Perekaman Larva Mosquito Berbasis Android Menggunakan Metode Certainty Factor Untuk Pengendalian Endemik DBD] Jurnal Techno Nusa Mandiri.2019; 16(2): 147-154.
-
Tresnawati D, Maulana I. Designing and Making Educational Games for Dengue Fever Prevention on Android [Perancangan Dan Pembuatan Game Edukasi Pencegahan Nyamuk Demam Berdarah Berbasis Android. J Algoritm.2015;14(2):358–367. doi: 10.33364/algoritma/v.14-2.358.
-
Trewin BJ, Darbro JM, Jansen CC, Schellhorn NA, Zalucki MP, Hurst TP, et al. The elimination of the dengue vector, Aedes aegypti, from Brisbane, Australia?: The role of surveillance, larval habitat removal and policy. PLoS Negl Trop Dis. 2017;11(8):1–23. Available from: https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0005848 [cited 2020 Oct 8]
-
Diagnosis GFOR. Recommendations for Treatment. Psychiatr News. 2006;41(1):29–29. doi: 10.1176/pn.41.1.0029b.
-
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. doi: 10.1371/journal.pntd.0004500.
-
Ong SQ. Dengue vector control in Malaysia: A review for current and alternative strategies. Sains Malaysiana. 2016;45(5):777–85. Available from: https://www.researchgate.net/publication/305176760_Dengue_vector_control_in_Malaysia_A_review_for_current_and_alternative_strategies [cited 2020 Oct 8]
-
Araújo HRC, Carvalho DO, Ioshino RS, Costa-da-Silva AL, Capurro ML. Aedes aegypti control strategies in Brazil: Incorporation of new technologies to overcome the persistence of dengue epidemics. Insects. 2015;6(2):576–94. doi: 10.3390/insects6020576.
-
Nguyen TH, Nguyen H Le, Nguyen TY, Vu SN, Tran ND, Le TN, et al. Field evaluation of the establishment potential of wmelpop Wolbachia in Australia and Vietnam for dengue control. Parasites and Vectors. 2015;8(1):1– doi: 10.1186/s13071-015-1174-x
-
Lwin MO, Sheldenkar A, Panchapakesan C, Ng JS, Lau J, Jayasundar K, et al. Epihack Sri Lanka: Development of a mobile surveillance tool for dengue fever. BMC Med Inform Decis Mak. 2019;19(1):1–9. doi: 10.1186/s12911-019-0829-5.
-
Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (prisma-p) 2015: Elaboration and explanation. Bri Med J. 2015;349(10):1–25. doi:10.1136/bmj.g7647
-
Marquez Herbuela VRD, Karita T, Francisco ME, Watanabe K. An integrated health app for dengue reporting and mapping, health communication, and behaviour modification: Development and assessment of mozzify. J Med Internet Res. 2020;22(1):1–11. doi: 10.2196/16424.
-
Bhattarai AH, Sanjaya GY, Khadka A, Kumar R, Ahmad RA. The addition of mobile SMS effectively improves dengue prevention practices in the community: An implementation study in Nepal. BMC Health Serv Res. 2019;19(1):1–11. doi: 10.1186/s12913-019-4541-z.
-
Mahalingam SR, Abdullah AH, Tiong CS, Arshad K, Ming LC, Lean QY, et al. Mobile health interventions for vector control in dengue prone areas in Malaysia. J Sustain Sci Manag. 2019;14(1):87–97 [Internet]. Available from: https://jssm.umt.edu.my/wp-content/uploads/sites/51/2020/05/bab-7.14.1.pdf. [cited 2020 oct 8]
-
Rodríguez S, Sanz AM, Llano G, Navarro A, Parra-Lara LG, Krystosik AR, et al. Acceptability and usability of a mobile application for management and surveillance of vector-borne diseases in Colombia: An implementation study. PLoS One. 2020;15(5 May):1–12. doi: 10.1371/journal.pone.0233269.
-
Somboonsak P. Development innovation to predict dengue affected areas and alert people with smartphones. Int J online Biomed Eng. 2020;16(2):62–79. doi: 10.3991/ijoe.v16i02.12425.
-
Ocampo CB, Mina NJ, Echavarria MI, Acuña M, Caballero A, Navarro A, et al. Vectos: An integrated system for monitoring risk factors associated with urban arbovirus transmission. Glob Heal Sci Pract. 2019;7(1):128–37. doi: 10.9745/GHSP-D-18-00300.
-
Krebs P, Prochaska JO, Rossi JS. A meta-analysis of computer-tailored interventions for health behavior change. Prev Med. 2010 Sep-Oct;51(3-4):214-21. doi: 10.1016/j.ypmed.2010.06.004. Epub 2010 Jun 15. PMID: 20558196; PMCID: PMC2939185.
-
Pronovost PJ, Cleeman JI, Wright D, Srinivasan A. Fifteen years after To Err is Human: a success story to learn from. BMJ Qual Saf. 2016 Jun;25(6):396-9. doi: 10.1136/bmjqs-2015-004720. Epub 2015 Dec 15. PMID: 26669931; PMCID: PMC6487657.
-
Ortiz E, Clancy CM. Use of information technology to improve the quality of health care in the United States. Health Serv Res. 2003;38(2). doi: 10.1111/1475-6773.00127.
-
Zonneveld M, Patomella A-H, Asaba E, Guidetti S. The use of information and communication technology in healthcare to improve participation in everyday life: a scoping review. Disabil Rehabil [Internet]. 2019;0(0):1–8. doi: 10.1080/09638288.2019.1592246.
-
Gulavani SS, Kulkarni RV. Role of information technology in health care. Proc 4th Natl Conf INDIACom-2010 [Internet]. 2010;36(1). Available from: http://www.ncbi.nlm.nih.gov/pubmed/20097633 [cited 2020 oct 8]
-
Mirzayi S, Rafe V. A survey on heuristic task scheduling on distributed systems. Compt Sci. 2011;1:1498-501.https://core.ac.uk/download/pdf/159179869.pdf [cited 2020 oct 8]
-
Chaikoolvatana A, Singhasivanon P, Haddawy P. Utilization of a geographical information system for surveillance of Aedes aegypti and dengue haemorrhagic fever in north-eastern Thailand. Dengue Bull [Internet]. 2007;31(Figure 1):75–82. Available from: https://www.researchgate.net/publication/266970907_Utilization_of_a_geographical_information_system_for_surveillance_of_Aedes_aegypti_and_dengue_haemorrhagic_fever_in_north-eastern_Thailand [cited 2020 oct 8]
-
Satoto TBT, Alvira N, Wibawa T, Diptyanusa A. Controlling factors that potentially against transmission of dengue hemorrhagic fever at state elementary schools in Yogyakarta. Kesmas. 2017;11(4):178–84. doi: 10.21109/kesmas.v11i4.1248.
-
Kassim M, Ali NAN, Idris A, Shahbudin S, Rahman RA. Dengue attack analysis system on the mobile application. ICSET 2018 - 2018 IEEE 8th Int Conf Syst Eng Technol Proc. 2019;(October):151–6. doi: 10.1109/ICSEngT.2018.8606397.
-
Lucena TFR, Velho APM, Dorne VD, Domingues DMG. Devising mobile apps: Participatory design for endemic diseases transmitted by the mosquito aedes (dengue, zika and chikungunya). Mob Story Mak an Age Smartphones. 2018;139–50. doi: 10.1007/978-3-319-76795-6_14.
-
A. N. Babu. Smartphone geospatial apps for dengue control, prevention, prediction and education: MOSapp, DISapp, and the mosquito perception index (MPI). Environ. Monit. Assess., vol. 191, 2019. doi: 10.1007/s10661-019-7425-0.
-
Boonchieng W, Tuanrat W, Aungwattana S. Development of a Community-based Geographic Health Information System via Mobile Phone in Saraphi District. 2019;30(2):84–92. doi: 10.3966/199115992019043002007.
-
Sa JHG, Rebelo MS, Brentani A, Grisi SJFE, Iwaya LH, Simplicio MA, et al. Georeferenced and secure mobile health system for large scale data collection in primary care. Int J Med Inform. 2016;94:91–9. doi: 10.1016/j.ijmedinf.2016.06.013.
-
Susanto AN, Maryana and Khasanah TFN. Dengue Hemorrhagic Fever (DHF) educative game to improve knowledge and skill of elementary school children in DHF prevention. In: Proceedings of the International Conference on Applied Science and Health; 2019 no. 4, pp. 2–7, 2019; Jakarta, Indonesia https://publications.inschool.id/index.php/icash/article/view/413 [cited 2020 Oct 8]
-
Demiris G, Afrin LB, Speedie S, Courtney KL, Sondhi M, Vimarlund V, et al. Patient-centered Applications: Use of Information Technology to Promote Disease Management and Wellness. A White Paper by the AMIA Knowledge in Motion Working Group. J Am Med Informatics Assoc. 2008;15(1):8–13. doi: 10.1197/jamia.M2492.
-
Whittingham JRD, Ruiter RAC, Castermans D, Huiberts A, Kok G. Designing effective health education materials: Experimental pre-testing of a theory-based brochure to increase knowledge. Health Educ Res. 2008;23(3):414–26. doi: 10.1093/her/cym018.
-
Paixão MM, Ballouz T, Lindahl JF. Effect of Education on Improving Knowledge and Behavior for Arboviral Diseases?: A Systematic Review and Meta-Analysis. The American journal of tropical medicine and hygiene. 2019;101(2):441–7. doi: 10.4269/ajtmh.19-0170.
-
Diaz-Quijano FA, Martínez-Vega RA, Rodriguez-Morales AJ, Rojas-Calero RA, Luna-González ML, Díaz-Quijano RG, et al. Association between the level of education and knowledge, attitudes and practices regarding dengue in the Caribbean region of Colombia. BMC Public Health. 2018;18(1):1–10. doi: 10.1186/s12889-018-5055-z.
-
Ernawati K, Widianti D, Yusnita, Batubara L, Jannah F, Rifqatussa'adah, Mahardhika ZP et al. Relationship between Knowledge and Exposure to Information in Vector Control of Dengue Hemorrhagic Fever in Koper Village [Hubungan Paparan Informasi Dengan Pengetahuan Pengendalian Vektor Nyamuk DBD di Desa Koper , Kecamatan Kresek , Kabupaten Tangerang]. J,. J Kedokt Yars. 2019;27(3):144–51. Available from: https://academicjournal.yarsi.ac.id/index.php/jurnal-fk-yarsi/article/view/1267 [cited 2020 Oct 9]
-
Elsa Z, Sumardi U, Faridah L. Effect of health education on community participation to eradicate aedes aegypti-breeding sites in Buahbatu and Cinambo Districts, Bandung. Kesmas. 2017;12(2):73–8. doi: 10.21109/kesmas.v0i0.1298.
-
Ernawati K, Yusnita Y, Dewi C, Jannah F, Sophianita S. Increasing public knowledge about the DHF program for housewives: the result of a one-day extension of cooperation between universities and community in Central Jakarta [Peningkatan pengetahuan tentang program demam berdarah komunitas pada ibu rumah tangga?: hasil dari satu-hari penyuluhan kerja sama antara perguruan tinggi dan masyarakat di Jakarta Pusat]. Ber Kedokt Masy. 2018;34(5):212–7. doi: 10.22146/bkm.33104
-
Boonchutima S, Kachentawa K, Limpavithayakul M, Prachansri A. Longitudinal study of Thai people media exposure, knowledge, and behaviour on dengue fever prevention and control. J Infect Public Health. 2017;10(6):836–41. doi: 10.1016/j.jiph.2017.01.016.
-
Basker P, Kolandaswamy KG. Study on the Behavior of Dengue Viruses during Outbreaks regarding Entomological and Laboratory Surveillance in the Cuddalore, Nagapattinam, and Tirunelveli Districts of Tamil Nadu, India. Osong Public Heal Res Perspect. 2015;6(3):143–58. doi: 10.1016/j.phrp.2015.05.001.
-
Nguyen H Van, Than PQT, Nguyen TH, Vu GT, Hoang CL, Tran TT, et al. Knowledge, attitude and practice about dengue fever among patients experiencing the 2017 outbreak in Vietnam [Internet]. Int J Environ Res Public Health. 2019;16(6). Available from: https://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-018-3006-z [cited 2020 Oct 9]
-
Aerts C, Revillaid M, Duval L, Paaijmans K, Chandrabose J, Cox H, et al. Understanding the role of disease knowledge and risk perception in shaping preventive behaviour for selected vector-borne diseases in Guyana. PLoS Negl Trop Dis. 2020;14(4):1–19. doi: 10.1371/journal.pntd.0008149.
-
Alghazali KA, Teoh BT, Sam SS, Abd-Jamil J, Johari J, Atroosh WM, Mahdy MAK, AbuBakar S et al. Dengue fever among febrile patients in Taiz City, Yemen during the 2016 war: Clinical manifestations, risk factors, and patients knowledge, attitudes, and practices toward the disease. One Health. 2019 Dec 3;9:100119. doi: 10.1016/j.onehlt.2019.100119.
-
Sayavong C, Chompikul J, Wongsawass S, Rattanapan C. Knowledge, attitudes and preventive behaviours related to dengue vector breeding control measures among adults in communities of Vientiane, capital of the Lao PDR. J Infect Public Health. 2015;8(5):466–73. doi: 10.1016/j.jiph.2015.03.005.
-
Satoto, TBT, Pascawati NA, Wibawa T, Frutos R, Maguin S, Mulyawan IK, et al. Entomological Index and Home Environment Contribution to Dengue Hemorrhagic Fever in Mataram City, Indonesia. Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal), 2020; 15(1), 32-39. doi: 10.21109/kesmas.v15i1.3294.
-
Wong LP, AbuBakar S. Health Beliefs and Practices Related to Dengue Fever: A Focus Group Study. PLoS Negl Trop Dis. 2013;7(7). doi: 10.1371/journal.pntd.0002310.
-
Elsinga J, Lizarazo EF, Vincenti MF, Schmidt M, Velasco-Salas ZI, Arias L, et al. Health Seeking Behaviour and Treatment Intentions of Dengue and Fever: A Household Survey of Children and Adults in Venezuela. PLoS Negl Trop Dis. 2015;9(12):1–18. doi: 10.1371/journal.pntd.0004237.
-
Krisnian T, Alisjahbana B, Afriandi I. Treatment Seeking Patterns among Dengue Fever Patients: A Qualitative Study [Internet]. Althea Med J. 2017;4(3):369–74. Available from: http://journal.fk.unpad.ac.id/index.php/amj/article/view/1183 [cited 2020 Oct 8]
-
Nguyen H Van, Than PQT, Nguyen TH, Vu GT, Hoang CL, Tran TT, et al. Knowledge, attitude and practice about dengue fever among patients experiencing the 2017 outbreak in Vietnam. Int J Environ Res Public Health. 2019;16(6). doi: 10.3390/ijerph16060976.
-
Ernawati K, Nurmaya, Caninsti R, Yusnita, Widianti D, Kamal FS, et al. Risk Factor Analysis of Community Behavior in the Eradication of Mosquito Nests in Urban and Rural Areas. 2020;22(Ishr 2019):49– doi: 10.2991/ahsr.k.200215.010.
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