| Literature DB >> 28359315 |
Michael Xiaoliang Tong1, Alana Hansen1, Scott Hanson-Easey1, Scott Cameron1, Jianjun Xiang1, Qiyong Liu2, Xiaobo Liu2, Yehuan Sun3, Philip Weinstein4, Gil-Soo Han5, Craig Williams6, Peng Bi7.
Abstract
BACKGROUND: Though there was the significant decrease in the incidence of malaria in central and southwest China during the 1980s and 1990s, there has been a re-emergence of malaria since 2000.Entities:
Keywords: Capacity building; Climate change; Imported cases; Infectious diseases; Malaria; Perception
Mesh:
Year: 2017 PMID: 28359315 PMCID: PMC5374624 DOI: 10.1186/s12936-017-1790-3
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Number of malaria cases in China 2000–2014. Data source was from China National CDC. http://www.chinacdc.cn
Fig. 2Study sites and sampling CDCs in China
Demographic characteristics of the participants (N = 557)
| Characteristics | Numbera | Percent (%) |
|---|---|---|
| Sites | ||
| Anhui | 154 | 27.6 |
| Henan | 231 | 41.5 |
| Yunnan | 172 | 30.9 |
| Age group (years) | ||
| 20–39 | 301 | 57.8 |
| ≥40 | 220 | 42.2 |
| Gender | ||
| Male | 268 | 49.4 |
| Female | 275 | 50.6 |
| Levels of CDC | ||
| Provincial | 305 | 54.8 |
| Prefectural | 154 | 27.6 |
| District/county | 98 | 17.6 |
| Educational level | ||
| Below undergraduate | 142 | 26.5 |
| Bachelor degree | 230 | 42.8 |
| Master degree or above | 165 | 30.7 |
| Length of employment at CDC (years) | ||
| ≤9 | 200 | 42.6 |
| 10–19 | 145 | 30.9 |
| ≥20 | 124 | 26.5 |
| Professional level | ||
| Junior | 160 | 28.7 |
| Intermediate | 228 | 40.9 |
| Senior | 106 | 19.1 |
| Other | 63 | 11.3 |
| Specialty | ||
| Infectious disease control and prevention | 235 | 56.8 |
| Public health | 80 | 19.3 |
| Medical laboratory | 83 | 20.0 |
| Emergency response | 16 | 3.9 |
aThe total number may not be equal to 557 for all items as some questions were not answered
CDC staff’s thoughts on climate change items
| Thoughts on climate change items | Numbera | Percent (%) |
|---|---|---|
| How concerned are you about climate change? | ||
| Very concerned | 163 | 29.3 |
| Concerned | 281 | 50.5 |
| Slightly concerned | 105 | 18.9 |
| Not concerned | 7 | 1.3 |
| Do you think your area is becoming warmer? | ||
| Yes | 443 | 79.7 |
| No | 28 | 5.0 |
| Unsure | 85 | 15.3 |
| Do you have a good understanding of climate change? | ||
| Yes | 171 | 31.1 |
| No | 379 | 68.9 |
| Do you need more information about the health impacts of climate change? | ||
| Yes | 493 | 88.7 |
| No | 63 | 11.3 |
Fig. 3Perception of impacts of public health in the face of climate change
Local CDC staff’s perceptions of malaria control and prevention
| Anhui | Henan | Yunnan | Statistics |
| |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Yes | Unsure | No | Yes | Unsure | No | Yes | Unsure | No | |||
| Is the number of mosquitoes increased? | 81 (53.0) | 38 (24.8) | 34 (22.2) | 106 (47.5) | 56 (25.1) | 61 (27.4) | 95 (56.9) | 40 (23.9) | 32 (19.2) | χ2 = 4.57 | 0.335 |
| Are mosquito-borne diseases increased? | 52 (34.2) | 53 (34.9) | 47 (30.9) | 98 (42.8) | 69 (30.1) | 62 (27.1) | 91 (55.2) | 41 (24.8) | 33 (20.0) | χ2 = 14.49 | 0.006 |
| Would you attribute these to climate change | 38 (58.5) | 23 (35.4) | 4 (6.1) | 70 (47.3) | 72 (48.6) | 6 (4.1) | 55 (61.1) | 24 (26.7) | 11 (12.2) | Fisher’s exact | 0.005 |
| Are there vector control programmes in place? | 107 (71.3) | 31 (20.7) | 12 (8.0) | 175 (76.4) | 47 (20.5) | 7 (3.1) | 107(64.1) | 41 (24.5) | 19 (11.4) | χ2 = 12.83 | 0.012 |
| Has malaria re-emerged in this area in recent years? | 51 (39.8) | 39 (30.5) | 38 (29.7) | 105 (57.4) | 60 (32.8) | 18 (9.8) | 77 (55.4) | 46 (33.1) | 16 (11.5) | χ2 = 26.24 | <0.001 |
| Are some malaria outbreaks occurring in new geographic areas? | 21 (17.4) | 72 (59.5) | 28 (23.1) | 65 (35.9) | 95 (52.5) | 21 (11.6) | 51 (36.7) | 70 (50.4) | 18 (12.9) | χ2 = 18.23 | 0.001 |
| Are some outbreaks occurring at unusual times of the year? | 24 (20.0) | 71 (59.2) | 25 (20.8) | 48 (26.8) | 99 (55.3) | 32 (17.9) | 47 (33.8) | 76 (54.7) | 16 (11.5) | χ2 = 8.43 | 0.077 |
| Have current prevention methods and the National Malaria Programme been effective in reducing incidence in this area? | 99 (80.5) | 23 (18.7) | 1 (0.8) | 127 (70.2) | 54 (29.8) | 0 | 96 (69.0) | 40 (28.8) | 3 (2.2) | Fisher’s exact | 0.034 |
| Is the population in general well informed about how to reduce the risk of malaria? | 86 (70.5) | 30 (24.6) | 6 (4.9) | 118 (64.8) | 51 (28.0) | 13 (7.2) | 81 (58.3) | 46 (33.1) | 12 (8.6) | χ2 = 4.49 | 0.343 |
Potential main risk factors of malaria
| Potential main risk factors | Frequency | Percent (%) |
|---|---|---|
| Mosquitoes in high-density | 71 | 25.1 |
| Imported cases | 62 | 21.9 |
| Climate change | 36 | 12.8 |
| Poor environmental conditions | 30 | 10.6 |
| Internal migrant population | 25 | 8.8 |
| Lack of health awareness | 25 | 8.8 |
| Others | 34 | 12.0 |
Risks were explored by open-ended questions. Keywords of risks were listed in the table. The frequency did not equal to total 557 as some participants either did not answer the questions or answered unclear/unsure about the potential main risk factors