Abstract
Background
Dengue is a major public health concern in Bangladesh. This study aimed to assess the perceptions and practices of community members in Dhaka regarding community engagement and social participation for dengue prevention.
Methods
A cross‐sectional online survey was conducted in Dhaka City from May 2022 to December 2022. The respondents were randomly selected. The association between community participation and prevention practices was tested using the χ 2 test.
Results
The findings of this study indicate that the majority of participants (92%) believed that community effort would be relied upon in the event of a dengue outbreak. Environmental cleaning campaigns were the preferred approach, and religious leaders viewed them positively. This study also revealed significant variations in knowledge levels, with those involved in community efforts and mass gatherings demonstrating greater knowledge. This study sheds light on the demographic factors that influence dengue knowledge and provides valuable insights into the development of targeted public health interventions.
Conclusion
The study revealed negative perceptions and limited participation in dengue prevention among participants, with the majority demonstrating a poor understanding of preventive measures. While some showed positive attitudes towards community engagement, significant disparities existed in participation, highlighting the need for targeted educational campaigns and enhanced community mobilization efforts. Moreover, the importance of multisectoral collaboration is emphasized, underscoring the need for coordinated efforts among health departments, NGOs, religious institutions, and community leaders to effectively combat dengue transmission. Recommendations include ongoing educational initiatives, targeted interventions to promote community involvement, and fostering collaboration across sectors to strengthen dengue prevention efforts and to safeguard public health.
Keywords: awareness campaigns, community engagement, cross‐sectional study, demographics, dengue prevention, Dhaka City, religious leaders, urban health
1. INTRODUCTION
Dengue is a mosquito‐borne infectious disease that spreads rapidly and has become a major global public health concern. 1 , 2 , 3 , 4 , 5 According to the World Health Organization (WHO), dengue is one of the top 10 global health threats. 1 , 5 Currently, there is no widely available effective treatment or vaccine for dengue. 1 , 3 , 4 , 6 Although Sanofi Pasteur has developed a dengue vaccine licensed in 24 countries and introduced into public immunization programs in the Philippines and Brazil, there is still a significant gap in global vaccine coverage. 1 , 6 , 7 Additionally, the genetic diversity of the dengue virus, with its various serotypes and genotypes, poses a significant public health challenge, particularly in cases of secondary and tertiary infections, which increase the risk of disease severity. 1 , 8 , 9 , 10 Dengue has spread to over 125 countries, resulting in an estimated 400 million infections and 40,000 deaths annually. 1 , 4 , 6 Tropical and subtropical regions are the most affected areas, particularly Southeast Asia and South Asia, which account for 70% of the dengue burden. 1 , 3 , 4 , 6 The spread of dengue is further exacerbated by factors such as rapid urbanization, population growth, and climate change, which create ideal conditions for viral transmission. 2 , 6 , 11 Efforts to prevention the spread of dengue have been hindered by the lack of effective vaccines and treatments, as well as the challenges posed by the genetic diversity of the virus. 3 , 4 , 11 To address these challenges, there is a need for increased investment in the research and development of effective vaccines and treatments as well as improved surveillance and prevention strategies. These efforts should focus on the most affected regions and vulnerable populations, such as children and pregnant women.
Bangladesh, a nation in South Asia, is home to more than 180 million people and has been affected by dengue fever since the initial outbreak in 2000. 1 , 12 , 13 , 14 , 15 In recent years, Bangladesh has experienced a series of significant dengue fever outbreaks owing to a variety of risk factors. 1 , 15 , 16 In the absence of appropriate preventative measures, inadequate healthcare facilities, insufficient outbreak readiness, and a lack of community‐level awareness of dengue fever could contribute to public health catastrophes. 1 Therefore, it is critical to prioritize preventative strategies and increase public awareness of dengue fever in Bangladesh.
Community engagement and social participation are crucial for dengue prevention efforts. 17 , 18 Studies have shown that community participation in habitat reduction for Aedes mosquitoes leads to a significant reduction in larval indices and sustainable behavioral changes over time. 18 Factors such as knowledge, attitudes, and the role of stakeholders can influence community participation in dengue prevention programs. 17 , 19 , 20 , 21 However, even educated individuals have low knowledge of prevention, and their attitudes towards prevention are mostly negative. 22 Health workers should actively engage with the community by providing clear education, conducting home visits, and encouraging participation in preventive activities. 23 Additionally, community capacity‐building programs and improved health‐seeking behaviors are essential for sustained dengue prevention. 24 School programs that address vector biology and prevention throughout the year can also contribute to effective preventive efforts. 24 Thus, this study aimed to determine the perceptions and practices of community people in Dhaka regarding community engagement and social participation in dengue prevention.
2. METHODS
2.1. Study design and setting
This online‐based cross‐sectional study was conducted in Dhaka City from May 2022 to December 2022. The study included participants who met the following criteria: (i) possession of a Bangladeshi resident card, (ii) Internet users, (iii) residents of Dhaka City, and (iv) those who signed an online consent form. Participants with incomplete records or those who did not provide consent were excluded.
2.2. Sample size
The required sample size was calculated using the following equation.
where n is the number of samples, z = 1.96 (95% confidence level), p is the prevalence estimate (50% or 0.5); as no study found in Bangladesh, q = (1 − p), d = precision limit or proportion of sampling error (5% or 0.05), So, n = 1.962 × 0.5 × (1 − 0.5)/0.052 ~ 384.16. A sample size of 385 respondents was estimated with a 95% confidence level and 5% margin of error. The study respondents were randomly selected.
2.3. Data collection tools
A structured questionnaire was developed based on a literature review 25 and modified according to the social context. The questionnaire consisted of three sections: (i) sociodemographic characteristics, (ii) perceptions of dengue prevention through community participation, and (iii) dengue prevention practices. The questionnaire was prepared in English and translated into Bengali for convenience during the data collection. Team members verified the accuracy and meaning of the translated content. A pilot study was conducted, primarily by randomly selecting 15 respondents.
2.4. Data collection procedure
Google Forms was used to create the survey questionnaire. The form included questions relevant to the research objectives, ensuring clarity and simplicity in wording the questions. Before the participants began the survey, written consent was obtained from them, following the provision of a clear and concise online consent form. This consent form outlined the purpose of the study, data usage, confidentiality measures, and participants' right to withdraw at any time. The survey link was shared with potential participants through appropriate channels such as email invitations, social media, and websites. Participants had the option to access the survey at their convenience. Ethical clearance was obtained from the Ethical Review Committee of CHIRAL Bangladesh (Reference no: CHIBAN05NOV2022‐0007). Informed consent was obtained from all participants and data analysis was conducted anonymously. Before the data analysis, each case was assigned unique numerical codes to ensure confidentiality. The data collection procedure followed the ethical guidelines of the University of Helsinki for human research.
2.5. Statistical analysis
A total of 328 records were included in the final statistical analysis. Categorical data were presented as frequencies and percentages. Continuous data were presented as mean and standard deviation. A particular question was categorized as yes/no/do not know. The association between community participation and prevention practices was tested using the χ 2 test. The demographic variables are not only confined to the age, sex, and education level of the respondents but also incorporate income and employment status. Detect real confounding variables and utilize them to understand the factors influencing perception outcomes. This in‐depth specification enhances the transparency and reproducibility of our statistical analysis, thereby upgrading the overall robustness of our study. Statistical significance was set at p < 0.05. Statistical analyses were performed using R (version 4.0.2) and R Studio (version 1.3.1056) for Windows.
3. RESULTS
A total of 328 participants were included in this study. More than half (54%) of the patients were females. The majority (70%) of the participants were aged <25 years. Most respondents (59%) were undergraduates. Unemployment (77%) exceeded employment (23%). Income status was categorized according to the World Bank earnings per day in the BDT of the respondents. Per day earning less than 220 BDT is low, 220‐3000 BDT is middle, and more than 3000 BDT is considered high. Furthermore, most (45%) participants were unsure about their income status. Additionally, the percentage of participants with a medium income was notably higher than that of those with a high income (Table 1).
Table 1.
Demographic characteristics of study participants (N = 328).
Characteristics | n (%) |
---|---|
Age group (years) | |
<25 | 229 (70%) |
25–44 | 79 (24%) |
45–59 | 16 (4.9%) |
≥60 | 4 (1.2%) |
Level of education | |
No education | 5 (1.5%) |
Secondary | 105 (32%) |
Graduate | 193 (59%) |
Postgraduate | 25 (7.6%) |
Employment status | |
Employed | 74 (23%) |
Unemployed | 254 (77%) |
Income | |
High | 7 (2.1%) |
Low | 73 (22%) |
Medium | 101 (31%) |
None of them | 147 (45%) |
The perception of dengue prevention among the participants was investigated, revealing their knowledge of executing this operation through community participation (Table 2). Regarding the assumption of organizing people with a view to eradicating dengue, most participants (54%) expressed a good perception, indicating their unity in vector prevention. Less than half (33%) were negative about the idea, whereas 13% remained neutral. Regarding active participation of community leaders, 42% of the participants were positive with this statement, reflecting their satisfaction with community leaders' actions. On the other hand, less than half of the participants (41%) answered No with leaders' actions, and 16% remained neutral. The participants exhibited diverse views on community efforts toward dengue prevention. While the majority (92%) agreed to rely on community efforts, a few (2.1%) were not positive and 5.8% remained neutral. Spraying insecticides to prevention vectors was a community strategy, with 64% of the participants agreeing that they had experience. However, 28% expressed negative responses to this plan of action, and 8.2% remained neutral.
Table 2.
Frequencies and percentage distribution of respondents regarding their perception to prevention dengue through community participation (N = 328).
Statements | n (%) |
---|---|
People are organizing to eradicate dengue | |
Yes | 177 (54%) |
No | 109 (33%) |
Don't know | 42 (13%) |
Community leaders are active in preventing of dengue | |
Yes | 139 (42%) |
No | 136 (41%) |
Don't know | 53 (16%) |
Dengue can be prevented through community efforts | |
Yes | 302 (92%) |
No | 7 (2.1%) |
Don't know | 19 (5.8%) |
Does your community spray insecticides for dengue prevention? | |
Yes | 210 (64%) |
No | 91 (28%) |
Don't know | 27 (8.2%) |
Your community is involved in the campaign to clean your living environment | |
Yes | 94 (29%) |
No | 198 (60%) |
Don't know | 36 (11%) |
Your community shares information about dengue fever | |
Yes | 166 (51%) |
No | 136 (41%) |
Don't Know | 26 (7.9%) |
Your community has a linkage with health department NGOs and other agencies for dengue prevention | |
Yes | 61 (19%) |
No | 183 (56%) |
Don't know | 84 (26%) |
Religious leaders play important role in awareness about dengue | |
Yes | 121 (37%) |
No | 112 (34%) |
Don't know | 95 (29%) |
Regarding community involvement in arranging campaigns for cleaning the living environment, only 29% of the participants stated a positive view, indicating a lack of awareness regarding area cleaning. Nonetheless, 60% were negative for this notion, and 11% remained neutral. The community shares dengue fever‐related information, and 51% of participants answered yes to this. Conversely, 41% were not positive, and 7.9% remained neutral. A multisectoral approach to dengue prevention at the community level was recognized by only a few participants (19%), and the corresponding community was linked to health department NGOs and other agencies. Surprisingly, a large percentage (56%) answered no, while 26% remained neutral. As Bangladesh is one of the most religious and practicing regions in Asia, religious leaders play a vital role in influencing the masses. In the case of dengue prevention roleplay, a large percentage (37%), responded positively, 34% answered negatively, and 29% remained neutral (Table 2).
The responses regarding community participation and dengue prevention practices reflected their awareness and attitudes towards this crucial aspect of dengue epidemic prevention. Among the total participants, only 41 (12%) in this group participated in the community/NGO sprayed fog. A large proportion of 287 participants (88%) held opposing actions, indicating that they were not involved. Regarding community duty to spray insecticides, 222 participants (68%) provided a positive answer for their execution. Regarding the cleaning of water and regular containers, 290 and 165 participants answered Yes, respectively, denoting good practices. A total of 165 participants (50%) covered or followed the recycling of discarded materials from outside the house, whereas the remaining half (50%) did not. Regarding family participation in clean water containers, 246 (75%) responded positively. Eighty percent of the participants cleaned their containers by draining and brushing. Regarding the habit of using mosquito repellents, 249 participants (76%) answered “Yes,” while only 79 participants (24%) did not use it. Among the respondents who used a repellent, coil, or spray, 55% (n = 180) used it both during the daytime and evening. However, 148 participants (45%) did not show a habit of using them (Table 3).
Table 3.
Frequencies and percentage distribution of respondents regarding community participation and dengue prevention practices (N = 328).
Community participation | n (%) |
---|---|
Do you participate when the community/NGO/Govt is spraying fog? | |
Yes | 41 (12%) |
No | 287 (88%) |
Do your communities spray insecticides for dengue prevention? | |
Yes | 222 (68%) |
No | 106 (32%) |
I clean and brush water containers if any larvae inside | |
Yes | 290 (88%) |
No | 38 (12%) |
I clean my containers one to three times a week | |
Yes | 225 (69%) |
No | 103 (31%) |
I always keep water containers in my house closed | |
Yes | 211 (64%) |
No | 117 (36%) |
I cover or recycle discarded material outside the house | |
Yes | 165 (50%) |
No | 163 (50%) |
All my family members are responsible for cleaning water container | |
Yes | 246 (75%) |
No | 82 (25%) |
I clean water containers by draining and brushing | |
Yes | 263 (80%) |
No | 65 (20%) |
I use mosquito repellent | |
Yes | 249 (76%) |
No | 79 (24%) |
I use repellent or mosquito coil or mosquito spray in the morning and evening | |
Yes | 180 (55%) |
No | 148 (45%) |
The distribution of perceptions regarding dengue outbreak prevention among respondents revealed variations in awareness levels and potential for targeted educational interventions. Notably, 122 (37%) participants demonstrated good knowledge, whereas 206 (63%) exhibited poor knowledge. Regarding mass gatherings to prevent dengue, 63% of participants demonstrated good knowledge, whereas only 21% of participants answering No exhibited the same. The observed disparity in this issue between positive, negative, and neutral views was statistically significant (p = 0.002). Similarly, there was a significant discrepancy in terms of community leader participation, with 53% of participants answering yes exhibiting good knowledge compared to 30% with a negative answer (p = 0.004). Community efforts to prevent the dengue outbreak revealed that the highest proportion (100%) of respondents with good knowledge agreed with it. These differences were statistically significant (p < 0.001). Additionally, perceptions about the use of spray by the community varied significantly among respondents, with positive (79%) and negative (15%) participants demonstrating good knowledge (p < 0.001). The arrangement of various awareness campaigns and seminars also played a prominent role in raising awareness; nonetheless, 50% of participants who did not follow exhibited good knowledge, while 40% of participants who followed this practice demonstrated the same. Conversely, 66% of participants with negative responses and 12% of participants with positive responses displayed poor knowledge, signifying a statistically significant difference in the multisectoral approach and cooperation with outbreak prevention (p < 0.001). However, the role of religious leaders did not exhibit a statistically significant association with level of perception (p = 0.2). In conclusion, these findings underscore the salient impact of various demographic characteristics on dengue knowledge among the participants, providing valuable insights for targeted educational interventions and public health initiatives (Table 4).
Table 4.
Association between dengue community participation and dengue prevention practices (good, poor) (N = 328).
Statements | Good, N (%) = 122 (37%) | Poor, N (%) = 206 (63%) | p value |
---|---|---|---|
People are organizing to eradicate dengue | 0.002 | ||
Yes | 77 (63%) | 100 (49%) | |
No | 26 (21%) | 83 (40%) | |
Don't know | 19 (16%) | 23 (11%) | |
Community leaders are active in preventing of dengue | 0.004 | ||
Yes | 65 (53%) | 74 (36%) | |
No | 37 (30%) | 99 (48%) | |
Don't know | 20 (16%) | 33 (16%) | |
Dengue can be prevented through community efforts | <0.001 | ||
Yes | 122 (100%) | 180 (87%) | |
No | 0 (0%) | 7 (3.4%) | |
Don't know | 0 (0%) | 19 (9.2%) | |
Does your community spray insecticides for dengue prevention? | <0.001 | ||
Yes | 96 (79%) | 114 (55%) | |
No | 18 (15%) | 73 (35%) | |
Don't know | 8 (6.6%) | 19 (9.2%) | |
Your community is involved in the campaign to clean your living environment. | 0.002 | ||
Yes | 49 (40%) | 45 (22%) | |
No | 61 (50%) | 137 (67%) | |
Don't know | 12 (9.8%) | 24 (12%) | |
Your community shares information about dengue fever | 0.004 | ||
Yes | 76 (62%) | 90 (44%) | |
No | 40 (33%) | 96 (47%) | |
Don't Know | 6 (4.9%) | 20 (9.7%) | |
Your community has a linkage with health department NGOs and other agencies for dengue prevention | <0.001 | ||
Yes | 37 (30%) | 24 (12%) | |
No | 47 (39%) | 136 (66%) | |
Don't know | 38 (31%) | 46 (22%) | |
Religious leaders play important role in awareness about dengue | 0.2 | ||
Yes | 43 (35%) | 78 (38%) | |
No | 37 (30%) | 75 (36%) | |
Don't know | 42 (34%) | 53 (26%) |
4. DISCUSSION
The findings of this study offer valuable insights into the dynamics of dengue prevention among the study population. Notably, there was a significant gender disparity among participants, with over half of them being female. This demographic imbalance may have implications for dengue prevention strategies as sex‐specific factors could influence participation and knowledge dissemination. Furthermore, the dominance of young adults (70% under the age of 25 years) highlights the need to tailor prevention efforts to engage this demographic, recognizing their potential as key contributors to community‐based interventions. The prevalence of unemployment among the participants (77%) raises concerns about financial limitations that may hinder their involvement in dengue prevention activities. Additionally, uncertainty regarding income status in 45% of the respondents underscores the importance of considering economic factors in intervention planning.
This study also sheds light on community perceptions, revealing a generally positive attitude toward organizing communities for dengue prevention, these findings coincide with previous research. 26 , 27 , 28 , 29 This indicates the potential for community mobilization efforts to effectively combat the disease. However, the mixed responses regarding community involvement suggest the need for improved awareness and engagement strategies to ensure active participation. The knowledge levels among participants varied, with a significant portion demonstrating poor knowledge, emphasizing the necessity for targeted educational interventions to bridge this gap. The present findings confirm the results of previous studies in Bangladesh. 30 , 31 , 32 , 33 , 34 , 35 Intriguingly, those who supported community efforts for dengue prevention exhibited higher knowledge levels, underscoring the potential effectiveness of community‐based interventions in enhancing awareness.
Surprisingly, the role of religious leaders did not show a statistically significant association with perception levels, suggesting that their influence on dengue prevention perception may be limited, as in previous studies. 36 In conclusion, these findings emphasize the importance of aligning dengue prevention strategies with the demographic characteristics of the target population by considering factors such as sex, age, education, and employment status. Moreover, community engagement and awareness building should be central to public health initiatives, with a focus on addressing knowledge gaps and promoting community‐based approaches to dengue prevention. Further research and tailored interventions are warranted to address the identified challenges and enhance the effectiveness of dengue prevention efforts in this context.
This study sought to address a significant public health concern, as dengue fever is a significant health issue in many urban areas, including Dhaka City. This study's cross‐sectional design allows for the collection of data at a single point in time, which provides an understanding of the current state of community engagement and social participation in dengue prevention. By focusing on Dhaka City, this study offers a detailed examination of a specific urban area, which can aid in tailoring prevention and intervention strategies to the unique characteristics of this location. Additionally, this study's emphasis on community engagement and social participation highlights the importance of involving local communities in disease prevention efforts. The findings of this study could inform public health policies and strategies for dengue prevention in Dhaka City, and potentially in other similar urban settings.
This study has several limitations that should be considered when interpreting the findings. First, the sample representation may be limited, potentially missing hard‐to‐reach or diverse populations. Self‐reporting bias could affect data accuracy because of participants' tendencies to provide socially desirable answers. The cross‐sectional design of this study prevented us from establishing causal relationships or tracking the changes over time. Given the narrow geographic focus of this study, these findings may not be universally applicable. Language and cultural barriers may have influenced participants' responses. The questionnaire design might not have captured the full spectrum of relevant factors. A low response rate or differences in nonparticipant attitudes could introduce selection bias. Furthermore, this study's analysis of the influence of religious leaders may be limited. Finally, temporal and broader contextual factors have not been explored extensively.
We propose several recommendations to enhance dengue prevention in the study population. First, targeted educational campaigns should be developed to address the specific knowledge gaps and demographic characteristics identified in this study, focusing on young adults, females, and individuals with varying education levels. Community mobilization efforts should be promoted to actively engage residents in preventive activities, with an emphasis on involving community leaders and organizations. Socioeconomic support measures are essential for addressing unemployment and income uncertainty and ensuring broader participation. Continuous monitoring and longitudinal studies should be conducted to track changes in knowledge, perceptions, and behaviors over time. Culturally sensitive communication strategies should be employed considering language barriers and cultural factors. Multisectoral collaboration should be encouraged, and opportunities for collaboration with religious leaders should be explored. Behavior‐change interventions should prioritize practical actions, such as proper container maintenance and mosquito repellent use, and awareness campaigns on recycling and environmental cleanup should be launched. Regular assessment of program effectiveness, integration with healthcare services, and local adaptation of strategies are vital for sustained dengue prevention. These recommendations can guide efforts to reduce dengue transmission and improve community engagement with preventive measures.
5. CONCLUSIONS
The findings of this study provide valuable insights into perceptions and practices regarding dengue prevention among participants. Despite efforts to raise awareness and implement preventive measures, notable gaps exist in knowledge and participation within the community.
Most participants exhibited negative perceptions regarding dengue prevention, indicating the need for targeted educational interventions to improve their understanding of the disease and its prevention strategies. This underscores the importance of implementing comprehensive public health campaigns to increase awareness and promote proactive measures to combat dengue transmission.
Furthermore, this study highlighted the significant role of community engagement in dengue prevention. While some participants demonstrated positive attitudes towards community participation, there were also notable discrepancies, particularly regarding involvement in activities such as spraying insecticides and organizing cleanliness campaigns. Addressing these disparities and enhancing community involvement through effective communication and mobilization efforts are crucial for fostering a collaborative approach to dengue prevention.
Moreover, this study underscores the importance of multisectoral collaboration in outbreak prevention. Although awareness campaigns and seminars have been instrumental in raising awareness, there is a need for greater cooperation among various sectors, including health departments, NGOs, religious institutions, and community leaders, to effectively address the challenges posed by dengue.
Based on these findings, several recommendations can be made to strengthen dengue prevention. First, there is a need for ongoing educational campaigns targeting communities to improve the knowledge and awareness of dengue prevention measures. Additionally, efforts should be made to enhance community participation through targeted interventions such as training programs and outreach activities. Furthermore, fostering multisectoral collaboration and coordination can help streamline efforts and maximize resources for effective dengue prevention.
In conclusion, addressing the gaps identified in this study through targeted interventions and collaborative efforts is key to reducing the burden of dengue and safeguarding public health in the community. By implementing these recommendations, stakeholders can work towards building a resilient and proactive approach to dengue prevention, ultimately contributing to the well‐being of individuals and communities.
AUTHOR CONTRIBUTIONS
Md Jubayer Hossain: Conceptualization; investigation; writing—original draft; visualization; writing—review and editing; validation; methodology; software; formal analysis; project administration; data curation; supervision; resources. Manisha Das: Investigation; writing—original draft; writing—review and editing; validation; data curation; project administration. Md Wahidul Islam: Writing—original draft; writing—review and editing; software; validation; investigation. Muhibullah Shahjahan: Investigation; validation; writing—original draft; writing—review and editing; software. Jannatul Ferdous: Investigation; validation; writing—original draft; writing—review and editing; software.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
TRANSPARENCY STATEMENT
The lead author Md Jubayer Hossain affirms that this manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.
ACKNOWLEDGMENTS
We would like to express our sincere gratitude to all the individuals and institutions who contributed to this study. We are especially thankful to the participants for their valuable contribution and cooperation. The most credible data collectors are Jannatul Ferdous, Fatema Tuj Johora Fariha, Anushka Bhattacharjee, Trishna Biswas, Ashiqul Islam Bhuiyan, Md. Zabir Ahmed, Md Mohtasim Billah. We also thank the ethics committee for their guidance, and the academic community for their valuable feedback.
Hossain MJ, Das M, Islam MW, Shahjahan M, Ferdous J. Community engagement and social participation in dengue prevention: A cross‐sectional study in Dhaka City. Health Sci Rep. 2024;7:e2022. 10.1002/hsr2.2022
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are openly available in Dengue_Community_Engagement at https://github.com/chiralbd/Dengue_Community_Engagement.
REFERENCES
- 1. Hossain MS, Noman AA, Mamun SAA, Mosabbir AA. Twenty‐two years of dengue outbreaks in Bangladesh: epidemiology, clinical spectrum, serotypes, and future disease risks. Trop Med Health. 2023;51:37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Colón‐González FJ, Sewe MO, Tompkins AM, et al. Projecting the risk of mosquito‐borne diseases in a warmer and more populated world: a multi‐model, multi‐scenario intercomparison modelling study. Lancet Planet Health. 2021;5:e404‐e414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Yang X, Quam MBM, Zhang T, Sang S. Global burden for dengue and the evolving pattern in the past 30 years. J Travel Med. 2021;28:146. [DOI] [PubMed] [Google Scholar]
- 4.WHO. Dengue and severe dengue. Accessed February 8, 2024. https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue
- 5.WHO. Ten threats to global health in 2019. Accessed February 8, 2024. https://www.who.int/news-room/spotlight/ten-threats-to-global-health-in-2019
- 6. Du M, Jing W, Liu M, Liu J. The global trends and regional differences in incidence of dengue infection from 1990 to 2019: an analysis from the global burden of disease study 2019. Infect Dis Ther. 2021;10:1625‐1643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.WHO. Dengue vaccine safety update. Accessed September 27, 2023. https://www.who.int/groups/global-advisory-committee-on-vaccine-safety/topics/dengue-vaccines/safety-update
- 8. Holmes E, Twiddy S. The origin, emergence and evolutionary genetics of dengue virus. Infect Genet Evol. 2003;3:19‐28. [DOI] [PubMed] [Google Scholar]
- 9. De Castro MG, De Nogueira FB, Nogueira RMR, Lourenço‐De‐Oliveira R, Dos Santos FB. Genetic variation in the 3′ untranslated region of dengue virus serotype 3 strains isolated from mosquitoes and humans in Brazil. Virol J. 2013;10:3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Behura SK, Severson DW. Nucleotide substitutions in dengue virus serotypes from Asian and American countries: insights into intracodon recombination and purifying selection. BMC Microbiol. 2013;13:37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Gubler DJ. Dengue, urbanization and globalization: the unholy trinity of the 21 st century. Trop Med Health. 2011;39(4 suppl):S3‐S11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Dhar‐Chowdhury P, Paul KK, Haque CE, et al. Dengue seroprevalence, seroconversion and risk factors in Dhaka, Bangladesh. PLoS Neglected Trop Dis. 2017;11:e0005475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Faruque LI, Rahman M, Gurley ES, et al. Hospital‐based prevalence of malaria and dengue in febrile patients in Bangladesh. Am J Trop Med Hyg. 2012;86:58‐64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Guha‐Sapir D, Schimmer B. Dengue fever: new paradigms for a changing epidemiology. Emerg Themes Epidemiol. 2005;2(1):1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Banu S, Hu W, Hurst C, Guo Y, Islam MZ, Tong S. Space‐time clusters of dengue fever in Bangladesh. Trop Med Int Health. 2012;17:1086‐1091. [DOI] [PubMed] [Google Scholar]
- 16. Mahmood BAI, Mahmood SAI. Emergence of dengue in Bangladesh a major international public health concern in recent years. E3 J Environ Res Manage. 2011;2:35‐41. [Google Scholar]
- 17. Inriani S R, Juanita J, Andayani LS. Community participation factors in implementing dengue fever symptoms prevention program. Randwick Int Social Sci J. 2023;4:389‐398. [Google Scholar]
- 18. Martínez M, Mijares V, Moreno N, Pérez‐Ybarra L, Herrera FM. Community engagement to control dengue vector in two municipalities of Aragua State, Venezuela. J Curr Health Sci. 2023;3:21‐24. [Google Scholar]
- 19. Udayanga L, Gunathilaka N, Iqbal MCM, Pahalagedara K, Amarasinghe US, Abeyewickreme W. Socio‐economic, knowledge attitude practices (KAP), household related and demographic based appearance of non‐dengue infected individuals in high dengue risk areas of kandy district, Sri Lanka. BMC Infect Dis. 2018;18(1):88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Selvarajoo S, Liew JWK, Tan W, et al. Knowledge, attitude and practice on dengue prevention and dengue seroprevalence in a dengue hotspot in Malaysia: a cross‐sectional study. Sci Rep. 2020;10(1):9534. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Al‐Dubai SAR, Ganasegeran K, Rahman AM, Alshagga MA, Saif‐Ali R. Factors affecting dengue fever knowledge, attitudes and practices among selected urban, semi‐urban and rural communities in Malaysia. Southeast Asian J Tropical Med Public Health. 2013;44:37‐49. [PubMed] [Google Scholar]
- 22. Patra M. Community participation in dengue prevention and prevention in a government housing complex, Kolkata, India. Int J Scientific Res. 2022;64:75‐76. [Google Scholar]
- 23. Rajapaksha RMNU, Abeysena C, Balasuriya A. Health seeking behaviours, dengue prevention behaviours and community capacity for sustainable dengue prevention in a highly dengue endemic area, Sri Lanka. BMC Public Health. 2023;23:507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Estallo EL, Madelon M, Benitez EM, Stewart‐Ibarra AM, Ludueña‐Almeida FF. Dengue prevention community engagement Community engagement through “student‐led science” for dengue. 10.1101/2022.10.04.510837 [DOI]
- 25. Zahir A. Community participation, dengue fever prevention and practices for prevention in swat, Pakistan. Int J MCH AIDS. 2016;5:39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Rahman MM, Islam ARMT, Khan SJ, et al. Dengue fever responses in Dhaka city, Bangladesh: a cross‐sectional survey. Int J Public Health. 2022;67:1‐10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Rahman MM, Khan SJ, Tanni KN, et al. Knowledge, attitude, and practices towards dengue fever among university students of Dhaka city, Bangladesh. Int J Environ Res Public Health. 2022;19:4023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Dhimal M, Aryal KK, Dhimal ML, et al. Knowledge, attitude and practice regarding dengue fever among the healthy population of highland and lowland communities in central Nepal. PLoS One. 2014;9:e102028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Sayavong C, Chompikul J, Wongsawass S, Rattanapan C. Knowledge, attitudes and preventive behaviors related to dengue vector breeding control measures among adults in communities of Vientiane, capital of the Lao PDR. J Infect Public Health. 2015;8:466‐473. [DOI] [PubMed] [Google Scholar]
- 30. Rahman MS, Karamehic‐Muratovic A, Baghbanzadeh M, et al. Climate change and dengue fever knowledge, attitudes and practices in Bangladesh: a social media‐based cross‐sectional survey. Trans R Soc Trop Med Hyg. 2021;115:85‐93. [DOI] [PubMed] [Google Scholar]
- 31. Hasan MM, Sahito AM, Muzzamil M, et al. Devastating dengue outbreak amidst COVID‐19 pandemic in Bangladesh: an alarming situation. Trop Med Health. 2022;50:11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Hossain MI, Alam NE, Akter S, et al. Knowledge, awareness and preventive practices of dengue outbreak in Bangladesh: a countrywide study. PLoS One. 2021;16(6):e0252852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Alyousefi TAA, Abdul‐Ghani R, Mahdy MAK, et al. A household‐based survey of knowledge, attitudes and practices towards dengue fever among local urban communities in Taiz Governorate, Yemen. BMC Infect Dis. 2016;16(1):543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Al‐Zurfi BMN, Fuad MDF, Abdelqader MA, et al. Knowledge, attitude and practice of dengue fever and heath education programme among students of Alam Shah Science School, Cheras, Malaysia. Malaysian J Public Health Med. 2015;15:69‐74. [Google Scholar]
- 35. Ashok Kumar V, Rajendran R, Manavalan R, et al. Studies on community knowledge and behavior following a dengue epidemic in Chennai city, Tamil Nadu, India. Trop Biomed. 2010;27:330‐336. [PubMed] [Google Scholar]
- 36. Usuwa IS, Akpa CO, Umeokonkwo CD, et al. Knowledge and risk perception towards Lassa fever infection among residents of affected communities in Ebonyi State, Nigeria: implications for risk communication. BMC Public Health. 2020;20:1‐217. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are openly available in Dengue_Community_Engagement at https://github.com/chiralbd/Dengue_Community_Engagement.