Comprehensive evaluation of demographic, socio-economic and other associated risk factors affecting the occurrence of dengue incidence among Colombo and Kandy Districts of Sri Lanka: a cross-sectional study

Udayanga, N.W.B.A.L.; Gunathilaka, Nayana; Iqbal, M. C. M.; Lakmal, Kosala; Amarasinghe, U.S.; Abeyewickreme, W.

doi:10.1186/s13071-018-3060-9

Cited by 31 publications

(59 citation statements)

References 41 publications

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“…El hecho que la mayoría de los casos han procedido de la ciudad capital y ciudades vecinas confirma la observación que el dengue es una enfermedad que predomina en áreas urbanas. Diferentes reportes de áreas geográficas diversas confirman esta (14,15) observación . El hallazgo de signos y síntomas inespecíficos en el presente estudio, es similar a (16) reportes de otros autores .…”

Section: Discussionunclassified

Características clínicas y de laboratorio en pacientes pediátricos ambulatorios con Fiebre Dengue

Perrota

Araya

Lovera

et al. 2020

Pediatr (Asunción).

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Introducción: La fiebre dengue (FD) ha representado en nuestro país una de las causas más frecuentes de consulta en la última década. Objetivos: Describir las características clínicas y de laboratorio de los pacientes con dengue observados en la unidad de atención ambulatoria de un centro de referencia. Materiales y Métodos: Se incluyeron todos los casos de dengue en pacientes menores de 20 años asistidos en la unidad de consulta ambulatoria del Instituto de Medicina Tropical, en el período entre noviembre de 2015 y marzo 2016. En función a una base estructurada de colección de datos, se analizaron las características demográficas, clínicas y de laboratorio. Resultados: Se incluyeron 1491 casos de dengue. La edad media fue de 12±5 años, correspondiendo 58 casos (4%) al grupo etario <2 años, 438 (29%) al grupo >2-9 años y 995 (67%) al grupo >9 años (p<0.01). La distribución de sexo fue similar (fem/masc 1.04:1). Presentaron fiebre los 1491 pacientes (100%). La cefalea, mialgias y artralgias se observaron mas frecuentemente en los pacientes >9 años, constatándose en el 79%, 60% y 55% de los casos (p<0,01 comprado con otros grupos etarios). En cambio, el exantema fue más frecuente en los menores de 2 años (36%) (p<0,01 al comparar con los niños mayores de 2 años). Laboratorialmente la frecuencia de leucopenia fue mayor en los mayores de 2 años (72% en el grupo de 2-9 años y 81% en los >9 años) al compáralos con los menores de 2 años (p<0,01). La detección del antígeno no estructural NS1 del dengue se observó en la mayoría de los casos (84%). Conclusiones: El grupo etario predominante que consulta por dengue es el de los niños >9 años. Se identificaron variables clínicas (exantema más frecuente en lactantes y algias en niños >9 años) y laboratoriales (citopenias poco frecuentes en lactantes) que dependen del grupo etario. La sensibilidad de la antigenemia ha sido excelente y similar en los grupos etarios. Conflicto de interés: Los autores declaran no poseer conflicto de interés Recibido: 22/11/2019 Aceptado: 5/02/2020

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Section: Discussionunclassified

Características clínicas y de laboratorio en pacientes pediátricos ambulatorios con Fiebre Dengue

Perrota

Araya

Lovera

et al. 2020

Pediatr (Asunción).

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“…As emphasized by previous studies, total population has often been recognized as a risk factor that increase the dengue risk. Among different age groups, only the proportion of population that is belonging to the age groups of 21 to 40 and > 60 years, were speci cally recognized as groups with a relatively higher susceptibility to dengue by the PCA, which was further veri ed by the demographics of reported dengue patients [18]. Spending a relatively higher time duration at public places (such as work places, schools and public transport stations etc.)…”

Section: Sensitivity Index (Si)mentioning

confidence: 98%

“…Spending a relatively higher time duration at public places (such as work places, schools and public transport stations etc.) with elevated chances of being exposed to the bites of dengue vectors are potential reasons for the higher susceptibility of the people belonging to the age group of 20 to 40 years [18]. On the other hand, relatively lower immune strength to resist the DENV could be the contributing factor behind the high risk indicated by the elderly groups (> 60 years) in the considered communities [54].…”

Section: Sensitivity Index (Si)mentioning

confidence: 99%

“…However, numerous limitations in human, mechanical and nancial resources in uence negatively on the success of dengue epidemic management [17]. Therefore, recognition of the potential risk factors that govern the incidence and severity of dengue epidemics, forecasting dengue outbreaks, assessing vulnerability, implementing proactive programmes to reduce existing vulnerabilities and improving resilience capacity of the vulnerable communities are some of the key strategies to ensure the success of dengue epidemic management [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

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Climate change induced vulnerability and adaption for dengue incidence in Colombo and Kandy Districts: The first detailed investigation in Sri Lanka

Udayanga

Gunathilaka²,

Iqbal

et al. 2020

Preprint

Self Cite

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Background: Assessing the vulnerability of an infectious disease such as dengue among endemic population is an important requirement to design proactive programmes in order to improve resilience capacity of vulnerable communities. Despite the significance in decision making process especially for rational resource allocation, the recognition of actual burden of dengue and the vulnerability towards dengue, has been limitedly addressed in many countries including Sri Lanka, due to deficiencies in a holistic methodology. Methods: A total of 42 variables (entomological, epidemiological, meteorological parameters, land-use practices and socio-demographic data) of all the 38 Medical Officer of Health (MOH) areas in the districts of Colombo and Kandy were considered as candidate variables for a composite index based vulnerability assessment. The Principal Component Analysis (PCA) was used in selecting and setting the weight for each indicator. Exposure, Sensitivity, Adaptive Capacity and Vulnerability of all the MOH areas for dengue incidence were calculated. Results: Out of 42 candidate variables, only 23 parameters (Exposure Index: 6 variables; Sensitivity Index: 11 variables; Adaptive Capacity Index: 6 variables) were selected as indicators to assess climate change vulnerability to dengue. Colombo Municipal Council (CMC) MOH area denoted the highest values for exposure (0.89: exceptionally high exposure), sensitivity (0.86: exceptionally high sensitivity) in the district of Colombo, while Kandy Municipal Council (KMC) area reported the highest exposure (0.79: high exposure) and sensitivity (0.77: high sensitivity) in Kandy. Piliyandala MOH area denoted the highest level of adaptive capacity (0.66) in the district of Colombo followed by Menikhinna (0.68) in Kandy. The highest vulnerability (0.45: moderate vulnerability) to dengue was indicated from CMC and the lowest indicated from Galaha MOH (0.15; very low vulnerability) in Kandy. Interestingly the Kandy Municipal Council MOH area had a notable vulnerability of 0.41 (moderate vulnerability), which was the highest within Kandy. Conclusions: In general, vulnerability for dengue was relatively higher within the MOH areas of Colombo, than in Kandy, suggesting a higher degree of potential susceptibility to dengue within and among local communities of Colombo. The Vector Controlling Entities (VCE) are recommended to consider the spatial variations in vulnerability of local communities to dengue for decision making, especially in allocation of limited financial, human and mechanical resources for dengue epidemic management

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“…Proper waste management will prevent the proliferation of dengue vector. Thus helping to manage dengue vectors (Udayanga et al, 2018).…”

Section: Implementation Of Dengue Prevention and Related Factorsmentioning

confidence: 99%

Revenue, Knowledge, Attitudes, and Implementation Regarding the Dengue Fever Prevention Program in Medan, Indonesia

Santhi

Marsaulina

Nurmaini

2020

bioex

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The best program to control the spread of dengue infection is a dengue prevention program. Indonesia has a dengue prevention program known as 3M Plus. Medan City is one of the endemic areas of dengue fever in Indonesia. This study aims to evaluate the income, knowledge, attitude and implementation of the dengue prevention program in Medan. Information on sociodemography, knowledge, attitudes, and implementation of dengue prevention was collected using a semistructured questionnaire that had been tested previously. This cross-sectional survey was conducted with face-to-face interviews with 100 randomly selected heads of households. Bivariate analysis using chi-square test. The results showed that overall participants had low family income, poor dengue knowledge, moderate attitude and moderate prevention implementation. There was a significant positive relationship between family income and implementation of dengue prevention (p = 0.001), knowledge and implementation of dengue prevention (p = 0.012), and attitudes and implementation of dengue prevention (p <0.001). In conclusion, dengue prevention programs require increased knowledge, attitudes and implementation of dengue prevention. Households with an income below the city minimum wage must be the main target of the dengue prevention campaign. Knowledge-based campaigns and arousing positive attitudes will increase the application of dengue prevention.

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Comprehensive evaluation of demographic, socio-economic and other associated risk factors affecting the occurrence of dengue incidence among Colombo and Kandy Districts of Sri Lanka: a cross-sectional study

Cited by 31 publications

References 41 publications

Características clínicas y de laboratorio en pacientes pediátricos ambulatorios con Fiebre Dengue

Características clínicas y de laboratorio en pacientes pediátricos ambulatorios con Fiebre Dengue

Climate change induced vulnerability and adaption for dengue incidence in Colombo and Kandy Districts: The first detailed investigation in Sri Lanka

Revenue, Knowledge, Attitudes, and Implementation Regarding the Dengue Fever Prevention Program in Medan, Indonesia

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