Table A17.
(1) | (2) | (3) | (4) | (5) | (6) | |
---|---|---|---|---|---|---|
Outcome → | Confidence in scientists | Scientists working for private companies benefit the public | Scientists working for private companies are honest | Scientists working for universities benefit the public | Scientists working for universities are honest | Scientists to find out accurate information |
(2) Exposure to Epidemic (18–25) | 64370.22 | 0.000** | 0.000* | 192.841 | 28700*** | 0.073 |
(628762.5) | (0.000) | (0.001) | (1051.95) | (13100) | (0.407) | |
(3) Exposure to Epidemic (18–25) | 153000*** | 0.331 | 8.244 | 3065.431** | 60954.08*** | 117.29 |
(735000) | (0.829) | (24.318) | (10000.84) | (110188) | (632.23) | |
(4) Exposure to Epidemic (18–25) | 30200*** | 9.997 | 144.46* | 0.227 | 0.214 | 424.53*** |
(10900) | (49.451) | (380.651) | (1.547) | (1.470) | (2863.42) | |
Observations | 82,854 | 81,406 | 76,723 | 81,147 | 75,792 | 83,939 |
(1) | (2) | (3) | (4) | (5) | (6) | |
Outcome → | Have trust in science | Science and technology will help improve life | Studying diseases is a part of science | Have trust in doctors and nurses | Have trust in hospitals and health clinics | Have trust in traditional healers |
(2) Exposure to Epidemic (18–25) | 95.00 | 0.002 | 0.023 | 176.00 | 0.000 | 45700*** |
(379.78) | (0.010) | (0.090) | (721.90) | (0.042) | (34900) | |
(3) Exposure to Epidemic (18–25) | 5.240 | -- | -- | 0.024 | -- | 54200*** |
(18.20) | (0.178) | (35800) | ||||
(4) Exposure to Epidemic (18–25) | 0.113 | -- | -- | 13900** | -- | 29,600 |
(0.874) | (13400) | (46100) | ||||
Observations | 85,199 | 86,397 | 88,138 | 91,835 | 89,851 | 87,761 |
Notes: Relative risk (probability) ratios are reported (a relative risk ratio greater than 1 indicates a positive association and a relative risk ratio less than 1 indicates a negative association). Outcomes “Confidence in scientists”, “Scientists working for private companies benefit the public”, “Scientists working for private companies are honest”, “ Scientists working for universities benefit the public”, “ Scientists working for universities are honest”, “Scientists to find out accurate information”, “Have trust in science”, “Have trust in doctors and nurses”, “Have trust in traditional healers” are coded as (1) a lot, (2) some, (3) not much, (4) not at all. Outcomes “Science and technology will help improve life”, “Studying diseases is a part of science” and “Have trust in hospitals and health clinics” are coded as (1) yes, 2 (no). Category 1 (i.e., “a lot” option) used for the baseline comparison group. Specification is Column 3 of Table 1. Results use the Gallup sampling weights and robust standard errors are clustered at the country level. Source: Wellcome Global Monitor, 2018 and EM-DAT International Disaster Database, 1970–2017. * significant at 10%; ** significant at 5%; *** significant at 1%.