| Literature DB >> 26076007 |
Maduka Donatus Ughasoro1, Dorothy Omono Esangbedo2, Beckie Nnenna Tagbo3, Ijeoma Chigozie Mejeha4.
Abstract
BACKGROUND: Ebola virus disease is a highly virulent and transmissible disease. The largest recorded fatality from Ebola virus disease epidemic is ongoing in a few countries in West Africa, and this poses a health risk to the entire population of the world because arresting the transmission has been challenging. Vaccination is considered a key intervention that is capable of arresting further spread of the disease and preventing future outbreak. However, no vaccine has yet been approved for public use, although various recombinant vaccines are undergoing trials and approval for public use is imminent. Therefore, this study aimed to determine the acceptability of and willingness-to-pay for Ebola virus vaccine by the public.Entities:
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Year: 2015 PMID: 26076007 PMCID: PMC4467844 DOI: 10.1371/journal.pntd.0003838
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Map of Nigeria showing the study sites.
Fig 2Sample selection framework.
Fig 3Respondents’ source of knowledge on EBV.
Responses to questions assessing knowledge and EBV preventive practices since the EBV epidemic threat.
| Questions | Correct Knowledge Responses (%) | Correct EBV Prevention Practice (%) |
|---|---|---|
| EBV can be contracted through: | ||
| i) Contagious/contact | 552 (94.9) | |
| ii) Food borne | 30 (5.1) | |
| Can EBV infect anybody? | 418 (71.8) | |
| EBV Infection can be prevented through: | ||
| i) Wash hand frequently | 425 (73.0) | 388 (66.7) |
| ii) Avoid contacts (handshaking/hugging) | 221 (43.2) | 134 (23.1) |
| ii) Keep clean environment | 220 (37.8) | 131 (20.5) |
| iv) Use germ killer (sanitizers) frequently | 141 (24.3) | 136 (22.6) |
| v) Avoid bats/monkeys | 63 (10.8) | 0 (0.00) |
| vi) Avoid contaminated items with infective body fluids | 16 (2.7) | 0 (0.00) |
| vii) Avoid corpse of an EBV patient/contaminated hospital | 0.0 | 0 (0.00) |
| viii) | 224 (38.5) | 0 (0.00) |
| ix) | 72 (12.3) | 0 (0.00) |
| The Mean [SD] of the total correct answers. | 1.92 [0.77] | 0.81 |
| Inadequate | 492 (84.6) | 145 (25.0) |
| Adequate | 90 (15.4) | 436 (75.0) |
| Very adequate | 0 (0.0) | 0 (0.00) |
| EVD considered a serious illness | 224 (38.5) |
Acceptance and WTP for EVV.
| Questions | Ilaje (Lagos) n = 293 | Ugba (Abia) n = 289 |
|
|
|---|---|---|---|---|
| Is there EVV? | ||||
| Yes | 8 (2.7) | 119 (41.0) | ||
| No | 273(93.1) | 59 (20.5) | 126.06 | 0.0001 |
| Don’t know | 12 (4.2) | 111 (38.5) | ||
| Will you vaccinate EVV if available (pre-information)? | ||||
| Yes | 234 (80.0) | 230 (79.5) | ||
| No | 25 (8.5) | 52 (18.1) | 0.01 | 0.93 |
| Don’t Know | 34 (11.5) | 7 (2.4) | ||
| Post information acceptability of EVV? (n | ||||
| Yes | 253 (86.3) | 237 (82.1) | 2.06 | 0.1511 |
| No | 40 (13.7) | 52 (17.9) | ||
| When will you prefer to vaccinate? (n | ||||
| i) Immediately | 202 (79.8) | 113 (47.7) | ||
| ii) Later, after observing outcome on others | 31 (12.2) | 122 (51.5) | 53.7 | 0.0001 |
| iii) Don’t know | 20 (8.0) | 2 (0.8) | ||
| Level of acceptance of EVV? (n | ||||
| Mean willingness (Max. is 5). | 4.3 | 3.7 | ||
| Unwilling | 16 (6.9) | 90 (37.8) | 65.09 | 0.0001 |
| Willing | 217 (93.1) | 147 (62.2) | ||
| WTP for EVV? (n | ||||
| Yes | 212 (91.2) | 207 (87.5) | ||
| No | 21 (8.8) | 30 (12.5) | 1.61 | 0.2 |
| Amount WTP (n | ||||
| Average Amount USD (naira) | 10.8(1833.9) | 15.3(2602.0) | ||
| ≤USD5.9 (≤1000naira) | 0.0 | 91 (43.9) | ||
| >USD5.9 - ≤ 29.4 (>1000 - ≤ 5000naira) | 203 (95.7) | 94 (45.2) | ||
| >USD29.4 (>5000naira) | 9 (4.3) | 22 (10.9) | N/A | N/A |
n1 & n2 = analyzed sample size in Ajah & Umuahia respectively
β = Yates corrected.
Determinants among respondents that may influence their acceptance of EVV univariate and multivariate analysis.
| Variables | Vaccine Acceptance Favorable | Vaccine Acceptance Unfavorable | p-value | Crude OR | 95% CI | Adjusted OR | 95%CI | p value |
|---|---|---|---|---|---|---|---|---|
| District | ||||||||
| Ilaje | 253 | 40 | 2.06 | 1.39 | 0.87–2.23 | |||
| Ugba | 237 | 52 | ||||||
| Religion | ||||||||
| Christian | 399 | 91 | 0.001 | 0.04 | 0.0–0.32 | 0.82 | 0.79–0.86 | 0.002 |
| Muslim | 91 | 1 | ||||||
| Gender | ||||||||
| Male | 293 | 55 | 0.998 | 1.00 | 0.62–1.61 | |||
| Female | 197 | 37 | ||||||
| Household size (n = 581) | ||||||||
| ≤ 5 | 352 | 60 | 0.25 | 1.32 | 0.80–2.18 | |||
| ≥ 6 | 138 | 31 | ||||||
| Educational status | ||||||||
| No-formal/Primary | 42 | 18 | 0.001 | 0.39 | 0.20–0.74 | 0.81 | 0.69–0.96 | 0.002 |
| & Secondary/Tertiary | 448 | 73 | ||||||
| Occupation (n = 576) | ||||||||
| Unemployed | 40 | 9 | 0.58 | 0.81 | 0.36–1.86 | |||
| Employed | 182 | 31 | ||||||
| Self-employed | 264 | 50 | ||||||
| Ebola Health Education | ||||||||
| Pre-Health Education | 464 | 118 | 0.046 | 0.74 | 0.54–1.01 | 0.93 | 0.75–1.10 | 0.05 |
| Post-Health education | 490 | 92 | ||||||
| Socioeconomic quartile (n = 580) | ||||||||
| Q1/Q2 | 237 | 52 | 0.30 | 0.79 | 0.50–1.26 | |||
| Q3/Q4 | 248 | 43 |
1 included in multivariate model.
β Yates corrected.
‡ Summation of favorable and unfavorable responses from the study sites pre and post health education.