| Literature DB >> 32282848 |
Vaitiare Mulderij-Jansen1,2,3, Jelte Elsinga2, Izzy Gerstenbluth3,4, Ashley Duits5,6, Adriana Tami1, Ajay Bailey2,7.
Abstract
BACKGROUND: Risk communication (RC) is an essential tool for the prevention and control of diseases as it impacts risk perception, increases awareness and might change behaviour. It is the interactive exchange of information about risks among experts and people. Effective RC can minimize the impact that diseases such as dengue, chikungunya and Zika have on populations. This study aimed to understand RC regarding vector-borne diseases in its social context and from the viewpoint of the audience to strengthen RC strategies in Curaçao.Entities:
Mesh:
Year: 2020 PMID: 32282848 PMCID: PMC7153856 DOI: 10.1371/journal.pntd.0008136
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Selected comparisons between socio-demographic characteristics and the use of channels of information regarding dengue.
| 18–50 years | 36 (22.4) | 161 | 0.003 |
| ≥ 51 years | 17 (10.1) | 168 | |
| 18–50 years | 22 (13.7) | 161 | < 0.001 |
| ≥ 51 years | 6 (3.6) | 168 | |
| 18–50 years | 31 (19.3) | 161 | < 0.001 |
| ≥ 51 years | 11 (6.5) | 168 | |
| Illiterate and primary school | 3 (4.0) | 75 | < 0.001 |
| Secondary school | 13 (10.6) | 123 | |
| Intermediate vocational school | 13 (15.5) | 84 | |
| Higher vocational education | 13 (27.7) | 47 | |
| Illiterate and primary school | 9 (12.0) | 75 | 0.01 |
| Secondary school | 26 (21.1) | 123 | |
| Intermediate vocational school | 6 (7.1) | 84 | |
| Higher vocational education | 12 (25.5) | 47 | |
| Illiterate and primary school | 26 (34.7) | 75 | 0.01 |
| Secondary school | 73 (59.3) | 123 | |
| Intermediate vocational school | 42 (50.0) | 84 | |
| Higher vocational education | 27 (57.4) | 47 | |
| Unemployed | 5 (8.2) | 61 | 0.01 |
| Paid job (manual) | 24 (17.3) | 139 | |
| Paid job (not manual) | 18 (26.9) | 67 | |
| Retired | 6 (9.7) | 62 | |
| 0–999 | 27 (81.8) | 33 | 0.04 |
| 1000–2499 | 101 (75.4) | 134 | |
| 2500–4999 | 86 (74.1) | 116 | |
| ≥5000 | 24 (55.8) | 43 |
1Antillean Guilders, 1 ANG = 0.54 USA dollars and 0.47 EUR.
^ Chi-square test
Univariate analysis of socio-demographic characteristics associated with the use of the internet to seek information regarding chikungunya.
| Variable | Use of the internet | 95% CI for exp b | |||
|---|---|---|---|---|---|
| Users n (%) | Total number of subjects | Crude OR | |||
| 52 (15.4) | 337 | 0.95 | 0.93–0.97 | < 0.001 | |
| Male | 7 (7.7) | 91 | 1 | - | - |
| Female | 45 (18.3) | 246 | 2.69 | 1.16–6.20 | 0.02 |
| 0.02 | |||||
| Illiterate and primary school | 4 (5.0) | 80 | 1 | - | - |
| Secondary school | 21 (16.5) | 127 | 3.76 | 1.24–11.41 | 0.02 |
| Intermediate vocational school | 15 (18.1) | 83 | 4.19 | 1.33–13.24 | 0.01 |
| Higher vocational education | 12 (25.5) | 47 | 6.51 | 1.96–21.63 | < 0.001 |
| 0.01 | |||||
| Unemployed | 7 (11.1) | 63 | 1 | - | - |
| Paid job (manual) | 25 (17.5) | 143 | 1.69 | 0.69–4.15 | 0.25 |
| Paid job (not manual) | 17 (25.4) | 67 | 2.72 | 1.04–7.10 | 0.04 |
| Retired | 3 (4.7) | 64 | 0.39 | 0.10–1.60 | 0.19 |
| 0.17 | |||||
| 0–999 | 3 (8.6) | 35 | 1 | - | - |
| 1000–2499 | 16 (11.9) | 135 | 1.43 | 0.39–5.23 | 0.58 |
| 2500–4999 | 21 (17.8) | 118 | 2.31 | 0.65–8.26 | 0.20 |
| ≥5000 | 10 (23.3) | 43 | 3.23 | 0.81–12.83 | 0.09 |
1The variable unemployed includes student, housewife and volunteer.
2Antillean Guilders, 1 ANG = 0.54 USA dollars and 0.47 EUR.
3For two participants the data regarding internet usage was missing. These two participants were excluded from the data analysis (n = 337).
4For eight participants the data regarding internet usage was missing. These eight participants were excluded from the data analysis (n = 331).
*Significance was determined at an alpha level of 0.10.
Multivariate analysis of socio-demographic characteristics associated with the use of the internet to seek information regarding chikungunya.
| Variable | Use of the Internet | ||
|---|---|---|---|
| OR | 95% CI for exp b | ||
| 0.95 | 0.93–0.98 | < 0.001 | |
| 3.05 | 1.21–7.67 | 0.02 | |
| 0.76 | |||
| Illiterate and primary school | 1 | - | - |
| Secondary school | 1.70 | 0.51–5.73 | 0.39 |
| Intermediate vocational school | 1.83 | 0.50–6.61 | 0.36 |
| Higher vocational education | 2.15 | 0.53–8.70 | 0.28 |
| 0.60 | |||
| Unemployed | 1 | - | - |
| Paid job (manual) | 2.00 | 0.73–5.45 | 0.18 |
| Paid job (not manual) | 1.84 | 0.59–5.76 | 0.29 |
| Retired | 1.64 | 0.30–8.94 | 0.56 |
| 0.97 | |||
| 0–999 | 1 | - | - |
| 1000–2499 | 0.93 | 0.24–3.64 | 0.91 |
| 2500–4999 | 1.09 | 0.27–4.45 | 0.91 |
| ≥5000 | 1.18 | 0.25–5.61 | 0.84 |
*p< 0.05.
1The variable unemployed includes student, housewife and volunteer.
2 Antillean Guilders, 1 ANG = 0.54 USA dollars and 0.47 EUR.
No significant interaction was observed between gender and age.
Note: Nagelkerke R2 = 0.175 (17.5%), Omnibus (p = 0.00), and Hosmer and Lemeshow (p = 0.62) show a good fit of the model.
Fig 1Treatment options for CHIKV infection.
a Values are percentages of available participants who reported the remedies that they used to treat the CHIKV infection. Various options could be indicated. *The variable Non-Steroidal Anti-Inflammatory Drugs (NSAID) consists of the following medications ibuprofen, diclofenac and celecoxib. For one participant the data was missing on the following treatment strategies: paracetamol, drink liquid and Alcolado Glacial. This response was excluded from the data analysis (n = 338). For two participants there were missing data on the following treatment strategies: NSAID, coconut oil, mango leaves, shilling oil, vitamins, and Prednisone. These too were excluded from the data analysis (n = 337).