| Literature DB >> 29997035 |
Ashley F Railey1, Tiziana Lembo2, Guy H Palmer3, Gabriel M Shirima4, Thomas L Marsh5.
Abstract
Identifying the drivers of vaccine adoption decisions under varying levels of perceived disease risk and benefit provides insight into what can limit or enhance vaccination uptake. To address the relationship of perceived benefit relative to temporal and spatial risk, we surveyed 432 pastoralist households in northern Tanzania on vaccination for foot-and-mouth disease (FMD). Unlike human health vaccination decisions where beliefs regarding adverse, personal health effects factor heavily into perceived risk, decisions for animal vaccination focus disproportionately on dynamic risks to animal productivity. We extended a commonly used stated preference survey methodology, willingness to pay, to elicit responses for a routine vaccination strategy applied biannually and an emergency strategy applied in reaction to spatially variable, hypothetical outbreaks. Our results show that households place a higher value on vaccination as perceived risk and household capacity to cope with resource constraints increase, but that the episodic and unpredictable spatial and temporal spread of FMD contributes to increased levels of uncertainty regarding the benefit of vaccination. In addition, concerns regarding the performance of the vaccine underlie decisions for both routine and emergency vaccination, indicating a need for within community messaging and documentation of the household and population level benefits of FMD vaccination.Entities:
Keywords: Foot-and-mouth disease; Perceived risk; Spatial risk; Temporal risk; Uncertainty; Vaccination
Mesh:
Year: 2018 PMID: 29997035 PMCID: PMC6073883 DOI: 10.1016/j.vaccine.2018.06.069
Source DB: PubMed Journal: Vaccine ISSN: 0264-410X Impact factor: 3.641
Fig. 1Location of the 10 study sites (triangles) within the Serengeti and Ngorongoro districts in relation to major Tanzanian cities (circles) and parks (dark grey).
Descriptive statistics for variables used in analysis.
| Variable | Mean | Std. Dev. | Median | Min | Max |
|---|---|---|---|---|---|
| No formal education | 0.16 | 0.36 | 0 | 0 | 1.0 |
| Income | |||||
| Monthly off-farm (≤25,000 Tsh) | 0.74 | 0.46 | 1.0 | 0 | 1.0 |
| Monthly off-farm (25–100,000) | 0.13 | 0.34 | 0 | 0 | 1.0 |
| Monthly off-farm (>100,000) | 0.13 | 0.33 | 0 | 0 | 1.0 |
| Seasonal crops (≤100,000 Tsh) | 0.67 | 0.47 | 1.0 | 0 | 1.0 |
| Seasonal crops (100–500,000) | 0.16 | 0.36 | 0 | 0 | 1.0 |
| Seasonal crops (>500,000) | 0.18 | 0.38 | 0 | 0 | 1.0 |
| Herd size | 42 | 59 | 20.0 | 1.0 | 530 |
| Expected milk loss (in liters per cow) | 0.70 | 0.59 | 0.61 | 0 | 5.0 |
| Cattle sold in the past year | 5.9 | 6.7 | 2.0 | 0 | 21 |
| FMD experienced in past year | 0.69 | 0.46 | 1.0 | 0 | 1.0 |
| Vaccinated for any cattle disease in past year | 0.19 | 0.40 | 0 | 0 | 1.0 |
| Use government vet | 0.34 | 0.48 | 0 | 0 | 1.0 |
| Vaccine efficacy of 50% | 0.45 | 0.49 | 0 | 0 | 1.0 |
| Male head of household | 0.84 | 0.36 | 1.0 | 0 | 1.0 |
| 50% efficacy*male head of household | 0.60 | 0.49 | 0 | 0 | 1.0 |
| Serengeti district | 0.59 | 0.49 | 1.0 | 0 | 1.0 |
| Outbreak @ Neighbor | 0.57 | 0.50 | 1.0 | 0 | 1.0 |
| n = 432 |
mean of continuous variables.
Fig. 2Distribution of Willingness to Pay Values.
Probability of responding 'yes' to each bid (in Tsh).
| Routine vaccination bid | Probability (%) | Emergency vaccination bid | Probability (%) |
|---|---|---|---|
| 500 | 94 | 500 | 89 |
| 1000 | 82 | 2000 | 81 |
| 1500 | 58 | 3500 | 69 |
| 2000 | 48 | 4000 | 65 |
| 2500 | 38 | 4500 | 60 |
| 3000 | 29 | 5000 | 55 |
| 3500 | 5 | 7500 | 30 |
USD 1.00 = 2100 Tanzanian shillings.
Vaccination determinants.
| Variable | Routine marginal effects (CI 95%) | P value | Emergency marginal effects (CI 95%) | P value |
|---|---|---|---|---|
| Education (0 = Formal; 1 = No Formal) | 681 (−7, 1356) | 0.096 | 655 (−369, 1679) | 0.295 |
| Income | ||||
| Off-Farm (≤25,000 Tsh) | Base case | |||
| Off-Farm (25–100,000) | 589 (−34, 1213) | 0.119 | 1962 (835, 3090) | 0.004 |
| Off-Farm (>100,000) | 1022 (360, 1685) | 0.010 | 1763 (672, 2854) | 0.007 |
| Crops (≤100,000 Tsh) | Base case | |||
| Crops (100–500,000) | 1635 (806, 2465) | 0.001 | 2294 (1034, 3554) | 0.003 |
| Crops (>500,000) | −445 (−1067, 176) | 0.237 | −403 (−1513, 3554) | 0.552 |
| Herd Size | 26 (−192, 243) | 0.846 | 42 (−348, 432) | 0.859 |
| Expected Milk Loss (in liters per cow) | 306 (−94, 707) | 0.207 | 423 (−205, 1051) | 0.270 |
| Cattle sold in past year | 36 (−0.33, 71) | 0.096 | 11 (−48, 71) | 0.753 |
| FMD experience in past year (0 = No; 1 = Yes) | −241 (751, 270) | 0.439 | −283 (−1156, 590) | 0.595 |
| Vaccinated for any cattle disease in past year (0 = No; 1 = Yes) | −247 (−795, 299) | 0.457 | 216 (−754, 1186) | 0.715 |
| Use of government vet (0 = No; 1 = Yes) | −663 (−1113, −214) | 0.014 | −1817 (−2626, −1008) | 0.001 |
| Vaccine efficacy (0 = 100%; 1 = 50%) | 1573 (370, 2778) | 0.031 | 2318 (107, 4529) | 0.085 |
| Gender (0 = Female; 1 = Male) | 1031 (321, 1740) | 0.016 | 857 (−478, 2192) | 0.292 |
| Gender*efficacy (0 = 100%; 1 = 50%) | −1458 (−2740, −174) | 0.060 | −2737 (−5066, 406) | 0.053 |
| District (0 = Ngorongoro; 1 = Serengeti) | −270 (−751, 212) | 0.358 | 94 (−779, 967) | 0.860 |
| Outbreak (0 = Village; 1=@Neighbor) | −476 (−1244, 293) | 0.314 | ||
| Log Likelihood | −415 | −498 | ||
| Chi-2 Statistic | 39.09 | 41.87 | ||
USD 1.00 = 2100 Tanzanian shillings.
Log of variable.