Simulation of Climate Change Impact on Emergency Medical Services Clients Caused by Air Pollution

Mohammadi, Hamed; Ardalan, Ali; Bavani, Alireza Massah; Naddafi, Kazem; Talebian, Mohammad Taghi

doi:10.5812/jhealthscope.57786

Cited by 4 publications

(6 citation statements)

References 33 publications

(59 reference statements)

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“…Several studies applied GCMs to estimate the changes in disease in their area [46, 47]. Furthermore, some studies were used LARS-WG to generate daily site-specific climate scenarios for the future [16, 48]. The findings of this study are in agreement with Mohammadi's findings that simulated the impact of climate change on emergency medical services clients in Tehran, Iran.…”

Section: Discussionsupporting

confidence: 84%

“…The findings of this study are in agreement with Mohammadi's findings that simulated the impact of climate change on emergency medical services clients in Tehran, Iran. In fact, they predicted a wetter and warmer climate for their study area by the year 2050 [16]. In another study, the effect of climate change in the Saguenay watershed in Canada was investigated by LARS-WG downscaling technique.…”

Section: Discussionmentioning

confidence: 99%

“…GT evaluated the best combination of the candidate inputs by Genetic Algorothim (GA). The parameters of GA to find good embedding were the population size (100 chromosomes), the mutation rate (0.01), the crossover rate (0.5), the gradient fitness (0.1), intercept fitness (0.8), and length fitness (0.1) [16]. The non-linear analysis and modeling tool which used to analyze the data was winGamma that developed by the Department of Computer Science, Cardiff University [29].…”

Section: Methodsmentioning

confidence: 99%

“…The Intergovernmental Panel on Climate Change (IPCC) has published the latest sets of scenarios (Representative Concentration Pathway (RCP)) in the its fifth Assessment Report (AR5) in 2014. These scenarios include RCP8.5, RCP6, RCP4.5, and RCP2.6 [16]. To link between outputs of GCMs (spatial resolution of 100–300 km) and the local climatic processes (spatial resolution of 10–20 km), downscaling technique was investigated.…”

Section: Introductionmentioning

confidence: 99%

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The effect of climate change on cholera disease: The road ahead using artificial neural network

et al. 2019

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Climate change has been described to raise outbreaks of water-born infectious diseases and increases public health concerns. This study aimed at finding out these impacts on cholera infections by using Artificial Neural Networks (ANNs) from 2021 to 2050. Daily data for cholera infection cases in Qom city, which is located in the center of Iran, were analyzed from 1998 to 2016. To determine the best lag time and combination of inputs, Gamma Test (GT) was applied. General circulation model outputs were utilized to project future climate pattern under two scenarios of Representative Concentration Pathway (RCP2.6 and RCP8.5). Statistical downscaling was done to produce high-resolution synthetic time series weather dataset. ANNs were applied for simulating the impact of climate change on cholera. The observed climate variables including maximum and minimum temperatures and precipitation were tagged as predictors in ANNs. Cholera cases were considered as the target outcome variable. Projected future (2020–2050) climate in previous step was carried out to assess future cholera incidence. A seasonal trend in cholera infection was seen. Our results elucidated that the best lag time was 21 days. According to the results of downscaling tool, future climate in the study area by 2050 will be warmer and wetter. Simulation of cholera cases indicated that there is a clear trend of increasing cholera cases under the worst scenario (RCP8.5) by the year 2050 and the highest cholera cases observe in warmer months. The precipitation was recognized as the most effective input variable by sensitivity analysis. We observed a significant correlation between low precipitation and cholera infection. There is a strong evidence to show that cholera disease is correlated with environment variables, as low precipitation and high temperatures in warmer months could provide the swifter bacterial replication. These conditions in Iran, especially in the central parts, may raise the cholera infection rates. Furthermore, ANNs is an executive tool to simulate the impact of climate change on cholera to estimate the future trend of cholera incidence for adopting protective measures in endemic areas.

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Section: Discussionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The effect of climate change on cholera disease: The road ahead using artificial neural network

et al. 2019

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“…Islamic civilization founded a new medical system by using the medical traditions of Greece, Iran and India, which western thinkers mostly call it Arabic medicine (Mohammadi, 2018). This (Ullmann, 2010, p. 8).…”

Section: Arabic Medicinementioning

confidence: 99%

Different Approaches to Islamic Medicine in Iran

Jafari,

Parizi

2023

IIMJ

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Background: Subject and objectives: Using the capabilities of Islamic civilization is one of the topics that has attracted the attention of contemporary Islamic thinkers. In this context, various opinions have been presented about whether medicine is Islamic or not among Iranian thinkers. In this article, we seek to examine the negative and positive opinions about the nature of Islamic medicine. The purpose of this article is to find a precise definition of Islamic medicine and provide a correct solution in using this treatment model. Result: This research deals with the study of Islamic medicine through descriptive-analytical and documentary methods. In this research, a complete search of electronic banks, related books, and internet sites was conducted and all acceptable articles were reviewed completely and systematically. There are different views on the nature of Islamic medicine, each of which has looked at the issue from its own angle, some agree with it and some oppose it. Conclusion: Islamic medicine has very good capacities, although there are serious criticisms against it. Islamic medicine is a specialized science, and a common opinion should be reached about its limits and conditions, and a system should be designed and drawn for it. The revival of Islamic medicine will contribute to the development of the modern Islamic civilization.

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Simulation of the potential impact of climate change on malaria incidence using artificial neural networks (ANNs)

Asadgol

Badirzadeh

Safari

et al. 2023

Environ Sci Pollut Res

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Simulation of Climate Change Impact on Emergency Medical Services Clients Caused by Air Pollution

Cited by 4 publications

References 33 publications

The effect of climate change on cholera disease: The road ahead using artificial neural network

The effect of climate change on cholera disease: The road ahead using artificial neural network

Different Approaches to Islamic Medicine in Iran

Simulation of the potential impact of climate change on malaria incidence using artificial neural networks (ANNs)

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