scholarly journals Socio-economic and Climate Factors Associated with Dengue Fever Spatial Heterogeneity: A Worked Example in New Caledonia

2015 ◽  
Vol 9 (12) ◽  
pp. e0004211 ◽  
Author(s):  
Magali Teurlai ◽  
Christophe Eugène Menkès ◽  
Virgil Cavarero ◽  
Nicolas Degallier ◽  
Elodie Descloux ◽  
...  
Keyword(s):  
Spatial Heterogeneity ◽  
Dengue Fever ◽  
New Caledonia ◽  
Climate Factors ◽  
Factors Associated ◽  
Worked Example

Risk Factors Associated With Dengue Fever Outbreak in Taiz Governorate, Yemen, 2018: Case-control Study

2021 ◽  
Author(s):  
Abdulkareem Ali Hussein Nassar ◽  
Amr Abdulaziz Torbosh ◽  
Yassin Abdulmalik Mahyoub ◽  
Mohammed Abdullah Al Amad
Keyword(s):  
Risk Factors ◽  
Dengue Fever ◽  
Case Control Study ◽  
Significant Risk ◽  
Case Fatality ◽  
Case Control ◽  
Case Definition ◽  
P Value ◽  
Factors Associated ◽  
Control Study

Abstract Background: Dengue Fever (DF) is a significant health problem in Yemen especially in the coastal areas. On November 6, 2018, Taiz governorates surveillance officer notified the Ministry of Public Health and Population on an increase in the number of suspected DF in Al Qahirah and Al Mudhaffar districts, Taiz governorate. On November 7, 2018, Field Epidemiology Training Program sent a team to perform an investigation. The aims were to confirm and describe the outbreak by person, place and time in Taiz governorate, and identify its risk factors.Methodology: Descriptive and case-control study (1:2 ratio) were conducted. WHO case definition was used to identify cases in Al Qahirah or Al Mudhaffar districts during August-November 2018. Control was selected from the same districts who did not suffer from DF. Predesigned questionnaire was used to collect data related to sociodemographic, behavioral and environmental characteristics. Bivariate and multivariate backward stepwise analyses were used. The adjusted odds ratios (aOR) and 95% confidence intervals (95%CI) were calculated. A P value < 0.05 was considered as the cut point for statistically significant. Epi info version 7.2 was used.Results: A total of 50 DF cases were found. Almost 52% were males and 76% were <30 years of age. The overall attack rate was 1/10,000 of the population. Case fatality rate was 4%. In multivariate analysis, not working (aOR = 26.6, 95% CI: 6.8–104.7), not using mosquito repellent (aOR = 13.9, 95% CI:1.4–136.8), wearing short sleeves/pants (aOR = 27.3, 95% CI: 4.8–156.8), poor sanitation (aOR = 5.4, 95% CI: 1.4–20.3), presence of outdoor trees (aOR = 13.2, 95% CI: 2.8–63.0) and houses without window nets (aOR = 15.7, 95% CI: 3.9–63.4) were statistically significant risk factors associated with DF outbreak. Eleven 11 (58%) of blood samples were positive for DF IgM.Conclusions: DF outbreak in Al Qahirah and Al Mudhaffar districts, Taiz governorate was confirmed. This study provides evidence-based information regarding the identified risk factors that contributed to the occurrence of this outbreak. Raising community awareness on the importance of personal protection measures and improving the sanitation services are strongly recommended.

Prediction of Dengue Fever Outbreak Based on Climate Factors Using Fuzzy-Logistic Regression

2020 ◽  
Author(s):  
Wiwik Anggraeni ◽  
Surya Sumpeno ◽  
Eko Mulyanto Yuniarno ◽  
Reza Fuad Rachmadi ◽  
Agustinus Bimo Gumelar ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Dengue Fever ◽  
Climate Factors ◽  
Fuzzy Logistic Regression

Self-Reported Height and Weight in Oceanian School-Going Adolescents and Factors Associated With Errors

2017 ◽  
Vol 29 (6) ◽  
pp. 526-536 ◽  
Author(s):  
Stéphane Frayon ◽  
Yolande Cavaloc ◽  
Guillaume Wattelez ◽  
Sophie Cherrier ◽  
Yannick Lerrant ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Weight Status ◽  
New Caledonia ◽  
Size Perception ◽  
Factors Associated ◽  
Measured Weight ◽  
The Difference ◽  
Individual Scale ◽  
Screening Accuracy

We examined the accuracy of self-reported weight and height in New Caledonian school-going adolescents. Self-reported and measured height and weight data were collected from 665 adolescents of New Caledonia and were then compared. Multivariable logistic regressions identified the factors associated with inaccurate self-reports. Sensitivity and specificity of self-reported body mass index values to detect overweight or obesity were evaluated. Self-reported weight was significantly lower than measured weight (boys, −3.56 kg; girls, −3.13 kg). Similar results were found for height (boys, −2.51 cm; girls, −3.23 cm). Multiple regression analyses indicated that the difference between self-reported and measured height was significantly associated with ethnicity and pubertal status. Inaccurate self-reported weight was associated with socioeconomic status, place of residence, body-size perception and weight status. Screening accuracy of self-reported body mass index was low, particularly in the Melanesian subgroup. These findings should be considered when overweight is estimated in the Melanesian adolescent population at individual scale.

scholarly journals 1475Effects of climate factors on the dengue fever in Paraguay: generalized additive model in 2014-2020

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Raquel Elizabeth Gomez Gomez
Keyword(s):  
Relative Humidity ◽  
Dengue Fever ◽  
Additive Model ◽  
Climate Factors ◽  
Final Model ◽  
Generalized Additive Modeling ◽  
Increasing Trend ◽  
The Mean ◽  
Additive Modeling ◽  
Dengue Control

Abstract Background Dengue fever is disease transmitted by mostly Aedes spp. This study aims investigate the association between climate factors and dengue incidence in Paraguay, considered as an endemic disease since 2009. Methods We extracted incidence of dengue by week from 2014-2020 national health surveillance, Paraguay. The climate factors, including rainfall, sunshine, minimum temperate, air pressure, relative humidity and wind were extracted from Directorate of Meteorology and Hydrology and aggregated as a weekly data. Generalized additive modeling was performed, adjusted by seasonality and population. Lags between 0-10 weeks were chosen for according to rho statistics of Spearman’s test. Results A total of dengue fever was 40,593 in study period. The mean cumulative incidence per 10,000 populations was 22.37 (standard deviation: 93.27). All six climate factors and seasonality were significant in the final model with the adjusted R-square 18.6%. Rainfall (relative risk [RR]: 0.51), relative humidity (RR: 0.25) and wind (RR: 0.19) showed negative trends with the increase of dengue while atmospheric pressure (RR: 9.32) and sunshine (RR: 0.12) showed positive associations. Minimum temperature showed increasing trend until 15ºC (1ºC increase in 4-fold incidence). The lag of each factor was selected between 2 to 10 weeks. Conclusion Climate factors showed associations with dengue fever in Paraguay. Such climate factors should be considered along with the dengue surveillance in endemic areas for effective dengue control. Key messages Climate factors showed significant dynamic associations with dengue incidence in Paraguay.

scholarly journals Factors associated with dengue fever outbreak in Dire Dawa administration city, October, 2015, Ethiopia - case control study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Luna Habtamu Degife ◽  
Yoseph Worku ◽  
Desalegn Belay ◽  
Abyot Bekele ◽  
Zegeye Hailemariam
Keyword(s):  
Dengue Fever ◽  
Case Control Study ◽  
Case Control ◽  
Factors Associated ◽  
Dire Dawa ◽  
Control Study

scholarly journals Effects of socio-economic and environmental factors on the spatial heterogeneity of dengue fever investigated at a fine scale

2018 ◽  
Vol 13 (2) ◽  
Author(s):  
Yubing Qu ◽  
Xun Shi ◽  
Yong Wang ◽  
Rendong Li ◽  
Liang Lu ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Environmental Factors ◽  
Spatial Heterogeneity ◽  
Dengue Fever ◽  
Scan Statistics ◽  
Fine Scale ◽  
Road Density ◽  
Risk Area ◽  
High Risk Area ◽  
Guangzhou City

The spatial pattern of dengue fever cases is the result of complex interactions between the virus, the host and the vector, which may be affected by environmental conditions. The largest outbreak of dengue fever in Guangzhou city, China occurred in 2014 with case numbers 2.7 times the number of cumulative cases since 1978 and a significantly non-random spatial distribution. Selecting Guangzhou City as the study area, we used scan statistics to analyze the spatial heterogeneity of dengue fever and a generalized additive model to evaluate and examine the effects of socio-economic and environmental factors on spatial heterogeneity at a fine scale. The study found that the spatial distribution of dengue fever is highly heterogeneous and various factors differ in relative importance. The junction of the central districts of Guangzhou is a high-risk area with the urban village and urban-rural fringe zone formed by urbanization as important regional factors. The low gross domestic product per capita, the high population density, the high road density were perceived as risk factors. The Asian subtropical coastal area together with the socioeconomic and environmental factors were found to be the key drivers at the fine scale explaining the high spatial heterogeneity of dengue fever in Guangzhou City.

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