Knowledge, attitudes, and practices regarding dengue, chikungunya, and Zika in Cali, Colombia.

Desjardins, Michael R.; Casas, Irene; Victoria, Angela María; Carbonell, D. L.; Dávalos, Diana; Delmelle, Eric

doi:10.1016/j.healthplace.2020.102339

Cited by 23 publications

(33 citation statements)

References 46 publications

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“…Underreporting is also a major issue in the low-strata neighborhoods and also not uniform across the city, whereas surveillance systems can improve the identification of risk factors throughout the city. 72 Second, the socioeconomic and demographic data were a mix from the Colombian National Census and 2010 population estimates. Colombia recently administered a new national census (the first since 2005) but is currently unavailable.…”

Section: Discussionmentioning

confidence: 99%

Space–Time Conditional Autoregressive Modeling to Estimate Neighborhood-Level Risks for Dengue Fever in Cali, Colombia

Desjardins

Eastin

Paul

et al. 2020

The American Journal of Tropical Medicine and Hygiene

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Vector-borne diseases affect more than 1 billion people a year worldwide, causing more than 1 million deaths, and cost hundreds of billions of dollars in societal costs. Mosquitoes are the most common vectors responsible for transmitting a variety of arboviruses. Dengue fever (DENF) has been responsible for nearly 400 million infections annually. Dengue fever is primarily transmitted by female Aedes aegypti and Aedes albopictus mosquitoes. Because both Aedes species are peri-domestic and container-breeding mosquitoes, dengue surveillance should begin at the local level-where a variety of local factors may increase the risk of transmission. Dengue has been endemic in Colombia for decades and is notably hyperendemic in the city of Cali. For this study, we use weekly cases of DENF in Cali, Colombia, from 2015 to 2016 and develop space-time conditional autoregressive models to quantify how DENF risk is influenced by socioeconomic, environmental, and accessibility risk factors, and lagged weather variables. Our models identify high-risk neighborhoods for DENF throughout Cali. Statistical inference is drawn under Bayesian paradigm using Markov chain Monte Carlo techniques. The results provide detailed insight about the spatial heterogeneity of DENF risk and the associated risk factors (such as weather, proximity to Aedes habitats, and socioeconomic classification) at a fine level, informing public health officials to motivate at-risk neighborhoods to take an active role in vector surveillance and control, and improving educational and surveillance resources throughout the city of Cali.

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Section: Discussionmentioning

confidence: 99%

Space–Time Conditional Autoregressive Modeling to Estimate Neighborhood-Level Risks for Dengue Fever in Cali, Colombia

Desjardins

Eastin

Paul

et al. 2020

The American Journal of Tropical Medicine and Hygiene

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“…The KAP studies are widely used to study public health [20]. Hence, KAP analysis is suitable to evaluate the public's response towards the COVID-19 pandemic.…”

mentioning

confidence: 99%

Knowledge, Attitudes, and Practice among Malaysian in facing COVID-19 During the Implementation of Movement Control Order

Samah

Muhammad

Sulaiman

et al. 2020

Preprint

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Background: The rapid acceleration in the number of hospitalizations and deaths of COVID-19 has attracted global attention and caused worldwide fear. In mid-March 2020, Malaysia has recorded the highest COVID-19 cases in Southeast Asia. As an immediate response, the Malaysian government has imposed Movement Control Order (MCO) to break the chain of infection and slow down the pandemic widespread. By mid-May 2020, R naught in Malaysia is at 0.3 as compared to 3.55 in mid-March 2020. Understanding the public’s knowledge, awareness, and reaction toward COVID-19 during the outbreak in the general population is paramount to give a real picture of the public’s responses in curbing the COVID-19 widespread. This study aims to determine the knowledge, attitude, and practice of social distancing among Malaysians during the COVID-19 outbreak. Methods: This cross-sectional study presents results from 3211 respondents by answering questionnaires through an online survey from 24 - 26 March 2020, one week after MCO was imposed. Responses were summarized using descriptive statistics and Chi-square test (χ²) statistic ware used to test whether the data from two or more groups of categories are associated with social distance practice.Results: Almost half of the respondents have an excellent level of knowledge (47.6%) and a positive attitude (47.4%) towards the COVID-19. Interestingly, more than half of the respondents (67.5%) performed good social distancing practice, while 30% exercised strict social distancing practice. A chi-square test shows that there is a significant association between knowledge and social distancing practice and no significant association between attitudes and social distancing practice. Conclusions: There is no COVID-19 vaccine nor herd immunity obtained yet, therefore the social distancing practice is the effective mechanism adopted to reduce the COVID-19 widespread, and Malaysia has proven it.

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“…First, the underreporting of cases and unmatched addresses during the geocoding process likely undermines the true burden of DENF. Underreporting is also a major issue in the low strata neighborhoods and also not uniform across the city, while surveillance systems can improve the identification of risk factors throughout the city 73 . Second, the socioeconomic and demographic data was a mix from the Colombian National Census and 2010 population estimates.…”

Section: Discussionmentioning

confidence: 99%

Space-time conditional autoregressive modeling to estimate neighborhood-level risks for dengue fever in Cali, Colombia

Desjardins

Eastin

Paul

et al. 2020

Preprint

Self Cite

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Vector-borne diseases (VBDs) affect more than 1 billion people a year worldwide, cause over 1 million deaths, and cost hundreds of billions of dollars in societal costs. Mosquitoes are the most common vectors, responsible for transmitting a variety of arboviruses. Dengue fever (DENF) has been responsible for nearly 400 million infections annually. Dengue fever is primarily transmitted by female Aedes aegypti and Aedes albopictus mosquitoes. Since both Aedes species are peri-domestic and container-breeding mosquitoes, dengue surveillance should begin at the local level - where a variety of local factors may increase the risk of transmission. Dengue has been endemic in Colombia for decades and is notably hyperendemic in the city of Cali. For this study, we use weekly cases of DENF in Cali, Colombia from 2015-2016; and develop space-time conditional autoregressive models to quantify how DENF risk is influenced by socioeconomic, environmental, and accessibility risk factors, and lagged weather variables. Our models identify high-risk neighborhoods for DENF throughout Cali. Statistical inference is drawn under Bayesian paradigm using Markov Chain Monte Carlo techniques. The results provide detailed insight about the spatial heterogeneity of DENF risk and the associated risk factors (such as weather, proximity to Aedes habitats, and socioeconomic classification) at a fine-level, informing public health officials to motivate at-risk neighborhoods to take an active role in vector surveillance and control, and improving educational and surveillance resources throughout the city of Cali.

show abstract

Knowledge, attitudes, and practices regarding dengue, chikungunya, and Zika in Cali, Colombia.

Cited by 23 publications

References 46 publications

Space–Time Conditional Autoregressive Modeling to Estimate Neighborhood-Level Risks for Dengue Fever in Cali, Colombia

Space–Time Conditional Autoregressive Modeling to Estimate Neighborhood-Level Risks for Dengue Fever in Cali, Colombia

Knowledge, Attitudes, and Practice among Malaysian in facing COVID-19 During the Implementation of Movement Control Order

Space-time conditional autoregressive modeling to estimate neighborhood-level risks for dengue fever in Cali, Colombia

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