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Accurate prediction of Particulate Matter (PM 10) levels, an indicator of natural pollutants such as those resulting from dust storms, is crucial for public health and environmental planning. This study aims to provide accurate forecasts of PM 10 over Morocco for five days. The Analog Ensemble (AnEn) and the Bias Correction (AnEnBc) techniques were employed to post-process PM 10 forecasts produced by the Copernicus Atmosphere Monitoring Service (CAMS) global atmospheric composition forecasts, using CAMS reanalysis data as a reference. The results show substantial prediction improvements: the Root Mean Square Error (RMSE) decreased from 63.83 µg/m 3 in the original forecasts to 44.73 µg/m 3 with AnEn and AnEnBc, while the Mean Absolute Error (MAE) reduced from 36.70 µg/m 3 to 24.30 µg/m 3. Additionally, the coefficient of determination (R 2) increased more than twofold from 29.11% to 65.18%, and the Pearson correlation coefficient increased from 0.61 to 0.82. This is the first use of this approach for Morocco and the Middle East and North Africa and has the potential for translation into early and more accurate warnings of PM 10 pollution events. The application of such approaches in environmental policies and public health decision making can minimize air pollution health impacts.

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BACKGROUND: Most studies on climate-induced health effects have primarily focused on developed countries. Jordan, in particular, has seen limited research in quantifying the differential impacts of temperature on mortality. Jordan's unique demographic composition, characterized by significant refugee population influxes, necessitates research in this area to identify vulnerable populations. This study aims to: 1) quantify the mortality burden of hot and cold temperature in Amman, Jordan, and 2) identify vulnerable groups within the population. METHODS: We collected 19 years of daily all-cause mortality records from 2000 to 2018 in Amman, Jordan, aggregated by sex and nationality. We used a time series design in a distributed lag non-linear model for temperature to estimate non-linear associations and lagged effects of temperature on mortality across sex and nationality. We calculated attributable mortality for temperatures above (heat) and below (cold) the minimum mortality temperature for each category. RESULTS: We analyzed 184,166 all-cause mortalities; 106,977 were males, and 22,118 were non-Jordanians. Amman's calculated minimum mortality temperatures were 23.2 °C for males, 21.5 °C for females, 22.3 °C for Jordanians, and 24.7 °C for non-Jordanians. Our findings reveal that females exhibited greater vulnerability to heat, with a 2.59 % (1.54 %, 3.59 %) heat attributable mortality fraction compared to 1.17 % (0.53 %, 1.80 %) for males, while non-Jordanians were susceptible to cold, with an 8.36 % (2.83 %, 14.66 %) cold attributable mortality fraction compared to 5.91 % (4.37 %, 7.41 %) for Jordanians. CONCLUSION: This study highlights the increased vulnerability of marginalized communities in Amman to temperature extremes. It emphasizes the need for further research to identify at-risk groups not only in Amman but also in other cities across Jordan. Such research is crucial for developing targeted protective strategies to safeguard these populations.

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BACKGROUND: The association between weather conditions and the spread of COVID-19 was demonstrated by previous studies but focused on specific countries or investigated shorter periods of duration limiting the interpretation of the results. AIM: To make an international comprehensive insight into the association between the weather conditions and the spread of COVID-19 by spanning many regions in the Northern and Southern hemispheres over a period of two years for the COVID-19 Outbreak. METHODS: The data were analyzed by using statistical description, linear and multiple regressions, and the Spearman rank correlation test. Daily and weekly COVID-19 cases, the average temperatures, Wind Speed, the amount of precipitation as well as the relative humidity rates were collected from Irbid, Jordan as the main location of analyses, as well as comparison cities and countries in both hemispheres. RESULTS: we found that certain climate variables are significant factors in determining the transmission rate of COVID-19 worldwide. Where, The temperature in the northern hemisphere regions was the most important climate factor that affects the increase in the transmission rate of COVID-19 (Northern Hemisphere rs = -0.65; Irbid rs = -0.74995; P < 0.001), While in southern hemisphere, the climate factor that affects the increase in the transmission rate of COVID-19 was the humidity (rs = 0.55; P < 0.01), In addition, we found the negligible and oscillated effect of wind speed on the transmission rate of COVID-19 worldwide. Moreover, we found that in Irbid 82% of COVID-19 cases were in the fall and winter seasons, while in summer the percentage of COVID-19 cases didn't exceed 3% during the total study period. CONCLUSION: This study can help develop international strategies and policies against COVID-19-related pandemic peaks, especially during the colder seasons in the Northern Hemisphere regions from the first month of fall to the last month of winter.

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This study investigated the medical waste management practices used by hospitals in northern Jordan. A comprehensive inspection survey was conducted for all 21 hospitals located in the study area. Field visits were conducted to provide information on the different medical waste management aspects. The results reported here focus on the level of medical waste segregation, treatment and disposal options practiced in the study area hospitals. The total number of beds in the hospitals was 2296, and the anticipated quantity of medical waste generated by these hospitals was about 1400 kg/day. The most frequently used treatment practice for solid medical waste was incineration. Of these hospitals, only 48% had incinerators, and none of these incinerators met the Ministry of Health (MoH) regulations. As for the liquid medical waste, the survey results indicated that 57% of surveyed hospitals were discharging it into the municipal sewer system, while the remaining hospitals were collecting their liquid waste in septic tanks. The results indicated that the medical waste generation rate ranges from approximately 0.5 to 2.2 kg/bed day, which is comprised of 90% of infectious waste and 10% sharps. The results also showed that segregation of various medical waste types in the hospitals has not been conducted properly. The study revealed the need for training and capacity building programs of all employees involved in the medical waste management.

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