Exhibit 3.
Summary of overall results.
| Cumulative variables | ||
|---|---|---|
| Variable |
No. of articles |
% of articles |
| Total | 75 | 100 |
| Profession | ||
| Doctors | 16 | 21 |
| Nurses | 6 | 8 |
| Environmental/public health | 31 | 41 |
| Administrators/lawyers | 6 | 8 |
| Non-M.D. medical academics | 14 | 19 |
| Students | 2 | 3 |
| Region | ||
| South | 31 | 41 |
| Northeast | 19 | 25 |
| Midwest | 10 | 13 |
| West | 15 | 20 |
| Role | ||
| Leadership role | 24 | 32 |
| Proactive role | 44 | 59 |
| Conformative role | 6 | 8 |
| No role | 1 | 1 |
| Non-cumulative variables | ||
|---|---|---|
| Approach | ||
| Adaptation | 57 | 76 |
| Mitigation | 61 | 81 |
| Pathology | ||
| Infectious/vector-borne disease | 56 | 75 |
| Air pollution | 62 | 83 |
| Extreme weather | 58 | 77 |
| Housing/sanitation | 24 | 32 |
| Food | 52 | 69 |
| Water | 50 | 67 |
| Mental health | 32 | 43 |
| Migration | 29 | 39 |
| Motive | ||
| Health trends | 69 | 92 |
| Political | 25 | 33 |
| Ethical | 34 | 45 |
| Economic | 36 | 48 |
| Intervention - sector | ||
| Energy | 54 | 72 |
| Food | 27 | 36 |
| Water | 23 | 31 |
| Waste | 22 | 29 |
| Transport | 38 | 51 |
| Infrastructure | 39 | 52 |
| Intervention – strategy | ||
| Education | 69 | 92 |
| Advocacy | 59 | 79 |
| Technology | 45 | 60 |
| Behavior | 46 | 61 |
| Legislating | 45 | 60 |
| Partnerships | ||
| No health care | 1 | 1 |
| Health care alone | 9 | 12 |
| Health care and public sector | 61 | 81 |
| Health care and for-profit business | 18 | 24 |
| Health care and non-profit/NGO | 32 | 43 |