| Literature DB >> 18665266 |
Edward W Maibach1, Amy Chadwick, Dennis McBride, Michelle Chuk, Kristie L Ebi, John Balbus.
Abstract
While climate change is inherently a global problem, its public health impacts will be experienced most acutely at the local and regional level, with some jurisdictions likely to be more burdened than others. The public health infrastructure in the U.S. is organized largely as an interlocking set of public agencies at the federal, state and local level, with lead responsibility for each city or county often residing at the local level. To understand how directors of local public health departments view and are responding to climate change as a public health issue, we conducted a telephone survey with 133 randomly selected local health department directors, representing a 61% response rate. A majority of respondents perceived climate change to be a problem in their jurisdiction, a problem they viewed as likely to become more common or severe over the next 20 years. Only a small minority of respondents, however, had yet made climate change adaptation or prevention a top priority for their health department. This discrepancy between problem recognition and programmatic responses may be due, in part, to several factors: most respondents felt personnel in their health department--and other key stakeholders in their community--had a lack of knowledge about climate change; relatively few respondents felt their own health department, their state health department, or the Centers for Disease Control and Prevention had the necessary expertise to help them create an effective mitigation or adaptation plan for their jurisdiction; and most respondents felt that their health department needed additional funding, staff and staff training to respond effectively to climate change. These data make clear that climate change adaptation and prevention are not currently major activities at most health departments, and that most, if not all, local health departments will require assistance in making this transition. We conclude by making the case that, through their words and actions, local health departments and their staff can and should play a role in alerting members of their community about the prospect of public health impacts from climate change in their jurisdiction.Entities:
Mesh:
Year: 2008 PMID: 18665266 PMCID: PMC2474970 DOI: 10.1371/journal.pone.0002838
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Local health department director's perceptions about general climate change impacts and its priority.
| Statement | SD | D | A | SA | DK |
| My jurisdiction has experienced climate change in the past 20 years. | 0.8 (1) | 10.5 (14) | 60.2 (80) | 9.0 (12) | 19.5 (26) |
| My jurisdiction will experience climate change in the next 20 years. | 0.8 (1) | 2.3 (3) | 55.6 (74) | 22.6 (30) | 18.8 (25) |
| In the next 20 years, it is likely that my jurisdiction will experience one or more serious public health problems as a result of climate change. | 1.5 (2) | 8.3 (11) | 48.1 (64) | 11.3 (15) | 30.8 (41) |
| Preparing to deal with the public health effects of climate change is an important priority for my health department. | 3.8 (5) | 40.6 (54) | 39.1 (52) | 12.0 (16) | 4.5 (6) |
The first entry in each cell is the percent of respondents; second is the actual number of respondents. SD = Strongly Disagree; D = Disagree; A = Agree; SA = Strongly Agree; DK = Don't Know.
Local health department director's perceptions about specific local impacts of climate change.
| Has climate change already affected this health issue in your jurisdiction? | Over the next 20 years, will climate change make this issue | ||||||||
| Health issue: | Yes | No | DK | NA | More | Less | Same | DK | NA |
| Heat waves and heat-related illnesses | 56.4 (75) | 33.1 (44) | 8.3 (11) | 2.3 (3) | 72.9 (97) | 0.8 (1) | 15.0 (20) | 8.3 (11) | 3.0 (4) |
| Storms (including hurricanes) and floods | 47.4 (63) | 41.4 (55) | 11.3 (15) | 0.0 (0) | 57.9 (77) | 1.5 (2) | 24.1 (32) | 16.5 (22) | 0.0 (0) |
| Droughts, forest fires, or brush fires | 46.6 (62) | 40.6 (54) | 9.0 (12) | 3.8 (5) | 59.4 (79) | 0.8 (1) | 19.5 (26) | 18.0 (24) | 2.3 (3) |
| Vector-borne infectious diseases | 42.1 (56) | 38.3 (51) | 19.5 (26) | 0.0 (0) | 56.4 (75) | 3.0 (4) | 21.1 (28) | 19.5 (26) | 0.0 (0) |
| Water- and food-borne diseases | 18.0 (24) | 64.7 (86) | 16.5 (22) | .08 (1) | 36.1 (48) | 1.5 (2) | 34.6 (46) | 27.1 (36) | 0.8 (1) |
| Anxiety, depression or other mental health conditions | 21.1 (28) | 45.9 (61) | 27.8 (37) | 5.3 (7) | 40.6 (54) | 0.8 (1) | 19.5 (26) | 36.1 (48) | 3.0 (4) |
| Quality or quantity of fresh water available to your jurisdiction | 42.9 (57) | 40.6 (54) | 12.8 (17) | 3.8 (5) | 63.2 (84) | 3.0 (4) | 18.0 (24) | 13.5 (18) | 2.3 (3) |
| Quality of the air, including air pollution, in your jurisdiction | 41.4 (55) | 37.6 (50) | 16.5 (22) | 4.5 (6) | 65.4 (87) | 2.3 (3) | 13.5 (18) | 15.8 (21) | 3.0 (4) |
| Unsafe or ineffective sewage and septic system operation | 12.8 (17) | 72.2 (96) | 12.8 (17) | 2.3 (3) | 18.8 (25) | 6.0 (8) | 47.4 (63) | 26.3 (35) | 1.5 (2) |
| Food safety and security | 14.3 (19) | 74.4 (99) | 8.3 (11) | 3.0 (4) | 30.8 (41) | 3.0 (4) | 48.9 (65) | 15.8 (21) | 1.5 (2) |
| Housing for residents displaced by extreme weather events | 18.6 (25) | 69.9 (93) | 7.5 (10) | 3.8 (5) | 42.1 (56) | 0.0 (0) | 37.6 (50) | 18.0 (24) | 2.3 (3) |
| Health care services for people with chronic conditions during service disruptions, such as extreme weather events | 25.6 (34) | 59.4 (79) | 11.3 (15) | 3.8 (5) | 53.4 (71) | 1.5 (2) | 30.1 (40) | 12.0 (16) | 3.0 (4) |
The first entry in each cell is the percent of respondents; second is the actual number of respondents.
DK = Don't Know; NA = No answer was given.
Local health department director's perceptions of climate change knowledge in their health department and among other relevant leaders in the jurisdiction.
| Statement | SD | D | A | SA | DK | NA |
| I am knowledgeable about the potential public health impacts of climate change | 2.3 (3) | 28.6 (38) | 60.9 (81) | 4.5 (6) | 3.0 (4) | 0.8 (1) |
| The other relevant senior managers in my health department are knowledgeable about the potential public health impacts of climate change | 5.3 (7) | 36.1 (48) | 41.4 (55) | 3.8 (5) | 12.0 (16) | 1.5 (2) |
| Many of the other relevant appointed officials in my jurisdiction–such as environmental, agricultural, forestry and wildlife, energy, and transportation officials–are knowledgeable about the potential public health impacts of climate change | 8.3 (11) | 33.1 (44) | 27.8 (37) | 2.3 (3) | 27.8 (37) | 0.8 (1) |
| Many of the relevant elected officials in my jurisdiction are knowledgeable about the potential public health impacts of climate change | 16.5 (22) | 43.6 (58) | 21.8 (29) | 0.8 (1) | 17.3 (23) | 0.0 (0) |
| Many of the business leaders in my jurisdiction are knowledgeable about the potential public health impacts of climate change | 12.0 (16) | 45.1 (60) | 9.0 (12) | 0.8 (1) | 33.1 (44) | 0.0 (0) |
| Many of the leaders of the health care delivery system in my jurisdiction–including hospitals and medical groups–are knowledgeable about the potential public health impacts of climate change | 2.3 (3) | 40.6 (54) | 28.6 (38) | 2.3 (3) | 25.6 (34) | 0.8 (1) |
The first entry in each cell is the percent of respondents; second is the actual number of respondents.
SD = Strongly Disagree; D = Disagree; A = Agree; SA = Strongly Agree; DK = Don't Know;
NA = No answer was given
Local health department director's perceptions of expertise available to them on the public health aspects of climate change
| Statement | SD | D | A | SA | DK | NA |
| My health department currently has ample expertise to assess the potential public health impacts associated with climate change that could occur in my jurisdiction. | 27.8 (37) | 49.6 (66) | 18.8 (25) | 3.8 (5) | 0.0 (0) | 0.0 (0) |
| My health department currently has ample expertise to create an effective climate change | 31.6 (42) | 51.1 (68) | 15.8 (21) | 0.8 (1) | 0.0 (0) | 0.8 (1) |
| My state health department currently has ample expertise to help us create an effective climate change | 18.8 (25) | 34.6 (46) | 22.6 (30) | 3.0 (4) | 21.1 (28) | 0.0 (0) |
| The Centers for Disease Control and Prevention currently has ample expertise to help us create an effective climate change | 1.5 (2) | 16.5 (22) | 31.6 (42) | 2.3 (3) | 48.1 (64) | 0.0 (0) |
| The health care delivery system in my jurisdiction–including hospital and medical groups–has ample expertise to help us create an effective climate change | 22.6 (30) | 41.4 (55) | 15.8 (21) | 0.8 (1) | 18.8 (25) | 0.8 (1) |
| My health department currently has ample expertise to create an effective climate change | 38.3 (51) | 47.4 (63) | 11.3 (15) | 0.0 (0) | 1.5 (2) | 1.5 (2) |
| My state's health department currently has ample expertise to help us create an effective climate change | 21.8 (29) | 37.6 (50) | 15.8 (21) | 0.0 (0) | 24.8 (33) | 0.0 (0) |
| The Centers for Disease Control and Prevention currently has ample expertise to help us create an effective climate change | 6.0 (8) | 18.0 (24) | 21.8 (29) | 3.0 (4) | 51.1 (68) | 0.0 (0) |
The first entry in each cell is the percent of respondents; second is the actual number of respondents.
SD = Strongly Disagree; D = Disagree; A = Agree; SA = Strongly Agree; DK = Don't Know;
NA = No answer was given.
Climate change adaptation activities of local health departments
| Is this a current activity in your health department? | Do you | ||||||
| Health issue: | Yes | No | DK | Currently | Planning | No | DK |
| Heat waves and heat-related illnesses | 57.1 (76) | 42.1 (56) | 0.8 (1) | 21.8 (29) | 17.3 (23) | 58.6 (78) | 2.3 (3) |
| Storms (including hurricanes) and floods | 76.7 (102) | 23.3 (31) | 0.0 (0) | 36.1 (48) | 20.3 (27) | 40.6 (54) | 3.0 (4) |
| Droughts, forest fires, or brush fires | 37.6 (50) | 62.4 (83) | 0.0 (0) | 13.5 (18) | 10.5 (14) | 72.2 (96) | 3.8 (5) |
| Vector-borne infectious diseases | 94.7 (126) | 4.5 (6) | 0.8 (1) | 39.8 (53) | 13.5 (18) | 43.6 (58) | 3.0 (4) |
| Water- and food-borne diseases | 97.0 (129) | 2.3 (3) | 0.8 (1) | 35.3 (47) | 14.3 (19) | 45.9 (61) | 3.8 (5) |
| Anxiety, depression or other mental health conditions | 30.8 (41) | 68.4 (91) | 0.8 (1) | 7.5 (10) | 7.5 (10) | 80.5 (107) | 4.5 (6) |
| Quality or quantity of fresh water available to your jurisdiction | 66.9 (89) | 33.1 (44) | 0.0 (0) | 16.5 (22) | 19.5 (26) | 57.9 (77) | 6.0 (8) |
| Quality of the air, including air pollution, in your jurisdiction | 50.4 (67) | 48.9 (65) | 0.8 (1) | 20.3 (27) | 12.0 (16) | 64.7 (86) | 3.0 (4) |
| Unsafe or ineffective sewage and septic system operation | 78.9 (105) | 20.3 (27) | 0.8 (1) | 30.1 (40) | 7.5 (10) | 57.9 (77) | 4.5 (6) |
| Food safety and security | 89.5 (119) | 10.5 (14) | 0.0 (0) | 33.1 (44) | 13.5 (18) | 48.9 (65) | 4.5 (6) |
| Housing for residents displaced by extreme weather events | 37.6 (50) | 60.2 (80) | 1.5 (2) | 18.8 (25) | 12.8 (17) | 64.7 (86) | 3.8 (5) |
| Health care services for people with chronic conditions during service disruptions, such as extreme weather events | 57.1 (76) | 41.4 (55) | 1.5 (2) | 26.3 (35) | 15.0 (20) | 54.9 (73) | 3.8 (5) |
| Emergency preparedness for the above issues | 56.4 (75) | 14.3 (19) | 25.6 (34) | 3.8 (5) | |||
The first entry in each cell is the percent of respondents; second is the actual number of respondents. DK = Don't Know.
One respondent did not answer this question.
Climate change mitigation activities of local health departments
| Do you | ||||
| A program: | Currently | Planning | No | DK |
| A program focused on mitigating climate change by reducing greenhouse gas emissions from the health department? | 12.0 (16) | 14.3 (19) | 68.4 (91) | 5.3 (7) |
| A program to help residents of your jurisdiction reduce their greenhouse gas emissions? | 5.3 (7) | 7.5 (10) | 83.5 (111) | 3.8 (5) |
| A program to reduce fossil fuel use or conserve energy in the operation of the health department? | 21.1 (28) | 18.8 (25) | 54.9 (73) | 5.3 (7) |
| A program to help residents of your jurisdiction reduce their fossil fuel use or conserve energy? | 6.0 (8) | 8.3 (11) | 80.5 (107) | 5.3 (7) |
| A program to encourage or help people to use active transportation such as walking, cycling? | 50.4 (67) | 11.3 (15) | 36.1 (48) | 2.3 (3) |
| A program to encourage or help people to use mass transportation? | 15.0 (20) | 6.0 (8) | 76.7 (102) | 2.3 (3) |
| A program to encourage or help people to change the way they purchase foods such as buying locally-grown foods, organic foods, or plant-based foods? | 33.8 (45) | 9.0 (12) | 54.1 (72) | 3.0 (4) |
| A program to educate the public about climate change and its potential impact on health? | 8.3 (11) | 18.0 (24) | 69.9 (93) | 3.8 (5) |
The first entry in each cell is the percent of respondents; second is the actual number of respondents. DK = Don't Know.