| Literature DB >> 24572373 |
Francesco Vairo, Emanuele Nicastri, Salma Masauni Yussuf, Angela Cannas, Silvia Meschi, Mwanakheir A A Mahmoud, Azza H Mohamed, Paul Mohamed Maiko, Pasquale De Nardo, Nazario Bevilacqua, Concetta Castilletti, Antonino Di Caro, Vincenzo Racalbuto, Giuseppe Ippolito.
Abstract
We conducted a seroprevalence survey among 500 healthy adult donors at Zanzibar National Blood Transfusion Services. Dengue virus IgG seroprevalence was 50.6% and independently associated with age and urban residence. These data will aid in building a surveillance, preparedness, and response plan for dengue virus infections in the Zanzibar Archipelago.Entities:
Keywords: Zanzibar; dengue; seroprevalence; vector-borne infections; viruses
Mesh:
Substances:
Year: 2014 PMID: 24572373 PMCID: PMC3944865 DOI: 10.3201/eid2003.130150
Source DB: PubMed Journal: Emerg Infect Dis ISSN: 1080-6040 Impact factor: 6.883
Univariate analysis of characteristics of 500 blood donors according to IgG positivity against dengue virus, Zanzibar, 2011*
| Characteristic | IgG positive, n = 253, no. (%) | IgG negative, n = 247, no (%) | Total, N = 500 | OR (95% CI) | p value |
|---|---|---|---|---|---|
| Age, mean (±SD) | 34 (±9) | 30 (±8) | 32 (±9) | <0.001 | |
| Age, for 5-y increase† | 1.32 (1.19–1.47) | <0.001 | |||
| Age, y | |||||
| ≥36 | 57 (39.6) | 87 (60.4) | 144 | 1 | |
| ≤25 | 81 (43.8) | 104 (56.2) | 185 | 1.19 (0.76–1.85) | 0.444 |
| 26–35 | 115 (67.3) | 56 (32.7) | 171 | 3.13 (1.97–4.98) | <0.001 |
| Sex | |||||
| M | 243 (50) | 243 (50) | 486 | 1 | |
| F | 10 (71.4) | 4 (28.6) | 14 | 2.5 (0.77–8.07) | 0.126 |
| Work | |||||
| Yes | 172 (52.4) | 156 (47.6) | 328 | 1 | |
| No | 80 (47.1) | 90 (52.9) | 170 | 0.8 (0.55-1.16) | 0.254 |
| Persons in household | |||||
| 1-4 | 80 (47.1) | 90 (52.9) | 170 | 1 | |
| 5–8 | 129 (53.8) | 111 (46.2) | 240 | 1.3 (0.88–1.93) | 0.182 |
|
| 44 (48.9) | 46 (51.1) | 90 | 1.07 (0.64–1.79) | 0.779 |
| Bed net use | |||||
| Yes | 146 (49.2) | 151 (50.8) | 297 | 1 | |
| No | 107 (52.7 | 96 (47.3) | 203 | 1.15 (0.80–1.64) | 0.436 |
| Insecticide-spraying home | |||||
| Yes | 107 (53.5) | 93 (46.5) | 200 | 1 | |
| No | 146 (48.7) | 154 (51.3) | 300 | 0.82 (0.57–1.17) | 0.290 |
| Flu | |||||
| Yes | 40 (48.8) | 42 (51.2) | 82 | 1 | |
| No | 213 (51) | 205 (49) | 418 | 1.09 (0.67–1.75) | 0.719 |
| Resting water‡ | |||||
| Yes | 223 (50.7) | 217 (49.3) | 440 | 1 | |
| No | 30 (50.8) | 29 (49.2) | 59 | 1.00 (0.58–1.73) | 0.981 |
| Water storage§ | |||||
| Yes | 172 (48.3) | 184 (51.7) | 356 | 1 | |
| No | 82 (56.9) | 62 (43.1) | 144 | 1.39 (0.94–2.06) | 0.093 |
| Area of living | |||||
| Rural | 119 (39.4) | 183 (60.6) | 302 | 1 | |
| Urban | 134 (67.7) | 64 (32.3) | 198 | 3.18 (2.21-4.69) | <0.001 |
*OR, odds ratio. †Age, 5-y increase is defined as the odds ratio for every 5 years of increase. ‡Resting water is defined as any presence of water resting around the house (i.e.. ponds, puddles). §Water storage is defined as any container used to collect rain water with no mention of the size and type of container.
Multivariable logistic regression model of odds of having IgG against dengue virus, Zanzibar, 2011*
| Covariate† | Adjusted OR (95% CI) | p value |
|---|---|---|
| Age, for 5 y increase‡ | 1.42 (1.27–1.61) | <0.001 |
| Water storage§ | ||
| Yes | 1 | |
| No | 1.66 (0.99–2.76) | 0.053 |
| Area of living | ||
| Rural | 1 | |
| Urban | 4.09 (2.72–6.17) | <0.001 |
*OR, odds ratio. †Also adjusted for sex, resting water. ‡Age, for 5-y increase is defined as the OR for every 5 years of increase. §Water storage is defined as any container used to collect rain water with no mention of the size and type of container.