| Literature DB >> 36093258 |
Hojatolah Gharaee1, Rebecca Susan Dewey2, Ramin Rezapour3, Naser Derakhshani4, Saber Azami-Aghdash5.
Abstract
Background: Through designing a surveillance system, steps to policy making and designing measures needed to reduce the potential risks of environmental disasters on human health could be taken. Therefore, this study aimed to develop a model for Environmental Disasters Diseases Surveillance System (EDDS) to monitor Adverse Health Effects (AHEs) of Environmental Disasters (AHEEDs).Entities:
Keywords: Urmia Lake; adverse health effects; environmental disasters; surveillance system
Year: 2022 PMID: 36093258 PMCID: PMC9452823 DOI: 10.1177/23333928221121306
Source DB: PubMed Journal: Health Serv Res Manag Epidemiol ISSN: 2333-3928
Priority Matrix of Adverse Health Effects of Drying of Lake Urmia.
| The criteria and rating of risks | ||||||
|---|---|---|---|---|---|---|
| Significance | Cost | Evidence | The ability to measure the risk factor burden | Total score | ||
| Score 1 to 5 | Score 1 to 5 | Score 1 to 5 | Score 1 to 5 | |||
| Risks | ||||||
| 1 | ||||||
| 2 | ||||||
| 3 | ||||||
| 4 | ||||||
| 5 | ||||||
| 6 | ||||||
| 7 | ||||||
Figure 1.Selection of sources of evidence.
Figure 2.Adverse health effects caused by drying of lakes.
Adverse Health Effects Caused by Drying of Lakes (n = 41).
| ROW | diseases group | diseases |
|---|---|---|
| 1 | Lung and respiratory diseases | Asthma |
| 2 | Chronic Obstructive Pulmonary Disease (COPD) | |
| 3 | Pulmonary Tuberculosis | |
| 4 | Chronic bronchitis | |
| 5 | Pulmonary infections | |
| 6 | Cancers | Leukemia |
| 7 | Lung cancer | |
| 8 | Breast Cancer | |
| 9 | Skin Cancer | |
| 10 | Gastrointestinal cancer | |
| 11 | Throat cancer | |
| 12 | Oral cancer | |
| 13 | Thyroid cancer | |
| 14 | Kidney and liver cancer | |
| 15 | Infectious diseases | Diarrhea |
| 16 | Typhoid | |
| 17 | Malta fever | |
| 18 | Cardiovascular diseases | Hypertension |
| 19 | Myocardial infarction | |
| 20 | Problems with pregnancy, childbirth and infant growth | Abortion |
| 21 | Childbirth problems | |
| 22 | Menstrual cycle disorders | |
| 23 | Infant death | |
| 24 | Mental retardation | |
| 25 | Teratogenicity | |
| 26 | Neurological problems | Headache/Migraine |
| 27 | Immune system problems | |
| 28 | Stroke | |
| 29 | Psychological disorders | Depression |
| 30 | Anxiety/Stress | |
| 31 | Eye problems | Macular Degeneration |
| 32 | Cataracts | |
| 33 | Photo keratitis | |
| 34 | Sty | |
| 35 | Other problems | Malnutrition |
| 36 | Kidney and urinary tract diseases | |
| 37 | Arthritis | |
| 38 | Oral Health Problems | |
| 39 | Skin and Hair Diseases | |
| 40 | Genetic disorders | |
| 41 | Endocrine disorders |
Figure 3.Variety of diseases that can potentially cause by drying of lakes.
Prioritization Matrix of Adverse Health Effects of Drying of Lake Urmia.
| The criteria and rating of risks | ||||||
|---|---|---|---|---|---|---|
| Significance | Cost | Evidence | The ability to measure the risk factor burden | Total score (out of 20) | ||
| Row | Risks | Score 1 to 5 | Score 1 to 5 | Score 1 to 5 | Score 1 to 5 | |
| 1 | Anemia | 2.1 | 2.8 | 1.9 | 4.5 |
|
| 2 | Goiter | 2 | 3.4 | 2.1 | 4.7 |
|
| 3 | mental disorders | 4.2 | 4.8 | 4.3 | 3.9 |
|
| 4 | respiratory diseases | 4.8 | 3.2 | 4.9 | 3.8 |
|
| 5 | Systemic diseases | 2.9 | 2.2 | 1.7 | 2.1 |
|
| 6 | Eye problems | 4.4 | 3.1 | 4.7 | 4.2 |
|
| 7 | Cardiovascular diseases | 4.8 | 2.9 | 3.4 | 4.4 |
|
| 8 | Malnutrition | 3.1 | 3.3 | 1.6 | 4.1 |
|
| 9 | Cancers | 4.9 | 2.5 | 4.1 | 3.9 |
|
| 10 | Hypertension | 3.9 | 4.8 | 2.6 | 4.4 |
|
| 11 | Liver diseases | 2.4 | 2.3 | 1.2 | 3.4 |
|
| 12 | Neurological problems | 1.8 | 2.2 | 1.4 | 3.1 |
|
| 13 | Allergic reactions | 3.5 | 2.7 | 4.2 | 2.7 |
|
| 14 | Epigenetic effects | 3.2 | 1.4 | 1.6 | 1.5 |
|
| 15 | Soil-borne diseases | 1.3 | 2.2 | 1.8 | 4.2 |
|
| 16 | Water and food borne diseases | 2.2 | 3.1 | 1.1 | 2.5 |
|
| 17 | Vector-borne diseases | 2.3 | 3.1 | 1.5 | 3 |
|
| 18 | Airborne Diseases | 1.6 | 2.5 | 1.4 | 2.1 |
|
Note: Risks that scored above 15, marked in green mean high priority, between 11 and 15, marked in yellow mean medium priority, and from 4 to 10.9, marked in red mean low priority.
Figure 4.Results and achievements of design and implementation of surveillance system for adverse health effects caused by environmental disasters.
Figure 5.Steps of surveillance system for monitoring the adverse health effects of environmental disasters.