Table 5.
Perceptions of strategies to build capacity to curb the health impact of climate change on infectious diseases in Anhui, China.a.
| The importance of these strategies to curb the health impact of climate change on infectious diseases | Extremely important N (%) | Very important N (%) | Important N (%) | Less important N (%) | Not important N (%) |
|---|---|---|---|---|---|
| Prevention and control measures | 458 (75.9) | 138 (22.9) | 6 (1.0) | 1 (0.2) | 0 |
| Better response mechanisms when outbreaks occur | 405 (67.4) | 184 (30.6) | 12 (2.0) | 0 | 0 |
| Strengthening the monitoring of infectious diseases | 415 (68.8) | 173 (28.7) | 15 (2.5) | 0 | 0 |
| The ability to actively forecast disease outbreaks by early warning systems | 406 (67.3) | 174 (28.9) | 22 (3.6) | 1 (0.2) | 0 |
| More collaboration with CDC to deal with infectious disease outbreak | 443 (73.7) | 143 (23.8) | 15 (2.5) | 0 | 0 |
| More affordable access to health care for the population | 362 (60.5) | 206 (34.5) | 29 (4.8) | 1 (0.2) | 0 |
| More health education programs | 398 (66.7) | 180 (30.1) | 18 (3.0) | 1 (0.2) | 0 |
| Increase laboratory diagnostic ability in rural hospitals | 391 (65.1) | 189 (31.4) | 21 (3.5) | 0 | 0 |
| Improve accessibility of online infectious disease reporting for rural hospitals | 423 (70.5) | 154 (25.7) | 21 (3.5) | 2 (0.3) | 0 |
| More funding for rural health care | 425 (70.7) | 156 (25.9) | 19 (3.2) | 1 (0.2) | 0 |
a
Data in this table are frequency and percentage N (%). Abbreviation: CDC, Centers for Disease Control and Prevention.