Prevalence of and risk factors for infectious disease syndromic symptoms among pilgrimage to Arba'een mass gathering religious in 2023

Background

There is a growing participation of Shia Muslims, in the Arba'een pilgrimage every year. It is imperative to conduct a comprehensive study on the transmission of diseases among Arba'een pilgrims in order to identify and promptly respond to potential epidemics effectively. We aimed to assess the syndromic symptoms associated with infectious diseases and the prevalence of mask usage among patients visiting outpatient clinics during the Arba'een pilgrimage in Ira, in 2023.

Methods

In this descriptive-analytical study, 300 outpatients who sought medical care at outpatient clinics during the Arba'een pilgrimage were randomly selected. The study data and infectious disease syndromic symptoms were assessed using trained healthcare professionals. A multiple logistic regression analysis was carried out to estimate the crude and Adjusted odds ratios (AORs) of symptoms and risk factors associated with respiratory syndrome and flu-like symptoms with 95 % confidence intervals.

Results

The mean age of the participants was 39 years and 61 % of those were male. Out of 72 (24 %) of mask users, 41.6 % had changed masks in less than 8 h. The most common syndromic symptoms was Flu-like illness (53 %). In the final analysis, not wearing a mask AOR = 1.40 (1.1-9.8) and smoking AOR = 3.25 (1.1-9.5) both elevated the risk of the flu-like syndrome and severe respiratory disease symptoms.

Conclusions

Pilgrims are especially vulnerable to the flu and other respiratory illnesses. Therefore, performing a differential diagnosis in these people, including flu and COVID-19, is essential to prevent an outbreak during the Arba'een pilgrimage.

Designing a Surveillance System to Monitor the Adverse Health Effect of Environmental Disasters: A Case Study of Drying Lake Urmia-Iran

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).

Methods

As the first step, the literature review was conducted to identify the AHEEDs. Then, using the results of the first step and analyzing the existing documents, the AHEEDs were identified, and, based on the experts’ opinions, high-priority effects were included in the EDDS. Then, using semi-structured interviews, 20 experts’ views on the appropriate model of EDDS were investigated. To design the initial model, a panel of experts was formed with six participants. Finally, the Delphi technique was used for expert opinion and model finalization.

Results

As a result of the literature review and document analysis, 41 hazards/diseases were identified. Finally, ten diseases were suggested to enter the EDDS. In the experts’ view, it is better that communicable diseases be reported actively and urgently and Non-Communicable Diseases (NCD) actively and non-urgently. From the participants’ point of view, the most significant achievements of the EDDS can be organizational and managerial, health promotion, and economic achievements.

Conclusion

Developing a dedicated EDDS for AHEEDs can be very helpful for better management of these effects. To this end, the model proposed in this study can serve as a guide for national and local policymakers to implement surveillance systems for AHEEDs.