Studying the Environmental Health Condition of the Cities in the Kermanshah Province Affected by 2017 Earthquake

Background: Natural disasters are out of human control, often leading to loss of life and property, and particularly affecting public health. Natural disasters influence human lives in different ways. They may have severe, obvious, or hidden consequences. Therefore, the present study aimed at examining the environmental health condition of the cities affected by 2017 earthquake in Kermanshah Province. Materials and Methods: This was a cross-sectional study. The environmental health experts gathered and analyzed the study data regarding the environment health condition of public places, food safety, solid waste management, types and number of water supplies, number of healthcare facilities and local health centers, etc. Results: According to the results, the lowest and highest number of damaged villages in Kermanshah Province were located in Sarpol-e Zahab (205 villages) and Ghasreshirin (29 villages), respectively. In addition, Eslamabad-e Gharb and Salas-e Babajani had the highest and lowest urban and rural populations, respectively. A total of 138564 people were affected by the earthquake. The improved water sources in the affected areas included 51 low-risk water sources, 171 moderate-risk water sources, 2 high-risk water sources, and 0 very high-risk water sources. In addition, 5059 m3 water was chlorinated by the environmental health experts and 1805 households were under the coverage of methoxymethyl chloride. Moreover, public healthcare centers (1059 intact and 605 damaged), 4564 food safety centers (3204 intact and 1360 damaged), and 20 solid waste management centers (16 intact and 4 damaged) were available in the area after the earthquake. Conclusion: Overall, the results indicate that the environmental health activities in the areas affected by the earthquake were adequate in terms of providing healthy drinking water, garbage and wastewater management, distribution of healthy foods, and so on. Thus it can be used as a good model to response the needs of the survivors from the future natural disasters and crises