Attitude towards dengue control efforts with the potential of digital technology during COVID-19: partial least squares-structural equation modeling

Abstract

Background: Dengue fever is still a public health issue in Indonesia, and during the coronavirus disease 2019 (COVID-19) pandemic, integrated digital technology will be required for its control. This study aimed to identify the factors that influence attitudes toward dengue control concerning the potential application of digital technology. Methods: This was a cross-sectional survey, with 515 people willing to fill out an online questionnaire. The analysis was conducted using Partial Least Square-Structural Equation Modelling (PLS-SEM). There were 46 indicators used to assess attitudes toward dengue control, which are organized into six variables: the need for digital information systems, perceptions of being threatened with dengue, the benefits of dengue control programs, program constraints, environmental factors and attitudes in dengue control. Results: The source of information needed for dengue control was mainly through social media. There was a positive relationship between perception of environmental factors to perception of dengue threat, perception of program constraints, perception of program benefits, and perception of digital technology needs. Perception of program benefits and threatened perception of dengue have a positive relationship with perception of digital technology needs. Conclusions: This model showed the variables perception of digital technology and perception of benefits had a positive association with attitude towards dengue control.

Attitude towards dengue control efforts with the potential of digital technology during COVID-19: partial least squares-structural equation modeling

“…The path coefficients and their 10,000 resampling bootstrap significance levels are reported in Table 7 and Figure 6 . 36 Additionally, Table 7 shows that the VIF constructs range from 1,000 to 1,700, indicating no collinearity between variables. This study also assesses the quality by examining the overall predictive relevance of the model with a Q2 value above zero which indicates a fit in the prediction model.…”

“…Another highest source of knowledge is television (23%), followed by digital educational videos (14.3%) and websites (10.6%) ( Figure 2 ). 36 …”

“…As a result of this process, only the indicators shown in Table 2 are without collinearity. Second, the relevance of the weights is analyzed, and Figure 6 36 shows the indicators in construction for latent variables. Finally, it is possible to start a bootstrap with 10,000 sub-samples to assess significance.…”

“…The hypotheses were compared with six latent constructs related to dengue control attitudes, influenced by perceptions of the threat of dengue, program benefits, environmental factors, program constraints, and technology needs ( Figure 1 ). 36 The direction of the path shows the (+) and (-) effects of the relationship, and this study assessed the accuracy of the model and hypothesis with PLS-SEM.…”

One Health approach and zoonotic diseases in Indonesia: Urgency of implementation and challenges

“…As a result, if there is a bite in humans, early prevention is not carried out, which results in handling delays that cause mortality and morbidity. The last thing is the lack of coordination between agencies related to the procurement of anti-rabies vaccines (VAR) or pre-exposure prophylaxis (PrEP) vaccines for animals, resulting in high fatalities caused by rabies virus infection and pets with a high potential for transmitting or contracting the rabies virus from infected animals, as a result of which cases of Rabies Infectious Animal Bites (GHPR) increase throughout the year [ 40 - 42 ].…”