Effect of temperature and humidity on the dynamics of daily new cases and deaths due to COVID-19 outbreak in Gulf countries in Middle East Region

被引:22
|
作者
Meo, S. A. [1 ]
Abukhalaf, A. A. [1 ]
Alomar, A. A. [1 ]
Alsalame, N. M. [1 ]
Al-Khlaiwi, T. [1 ]
Usmani, A. M. [2 ]
机构
[1] King Saud Univ, Coll Med, Dept Physiol, Riyadh, Saudi Arabia
[2] King Saud Univ, Coll Med, Strateg Ctr Diabet Res, Riyadh, Saudi Arabia
关键词
COVID-19; Climate; Temperature; Humidity; Prevalence; Mortality; TRANSMISSION; PREVALENCE; COV;
D O I
10.26355/eurrev_202007_21927
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
OBJECTIVE: Weather-related dynamics have an impact on the pattern of health and disease. The present study aimed to investigate the effect of temperature and humidity on the daily new cases and daily new deaths due to COVID-19 in Gulf Cooperation Council (GCC) countries in the Middle East. MATERIALS AND METHODS: We selected all the six GCC countries, including Saudi Arabia, United Arab Emirates, Bahrain, Kuwait, Qatar and Oman. This region has a relatively high temperature and humidity, and has homogenous Arab ethnicity with a similar socioeconomic culture. The data on the global outbreak of COVID-19, including daily new cases and deaths were recorded from World Health Organization. The information on daily temperature and humidity was obtained from world climate web "Time and Date". The daily basis, mean temperature and humidity were recorded from the date of appearance of first case of COVID-19 in the region, Jan 29, 2020 to May 15, 2020. We also evaluated the growth factor, "a ratio by which a quantity multiplies itself over time; it equals daily cases divided by cases on the previous day". RESULTS: In GCC countries, the daily basis mean temperature from Jan 29, 2020 to May 15, 2020 was 29.20 +/- 0.30 degrees C and humidity was 37.95 +/- 4.40%. The results revealed that there was a negative correlation and decrease in the number of daily cases and deaths from COVID-19 with increase in humidity in Oman, Kuwait, Qatar, Bahrain, United Arab Emirates and Saudi Arabia. The correlation coefficient between temperature with daily cases shows that an increase in temperature was associated with an increase in daily cases and deaths due to COVID-19, however, the temperature is still gradually rising in the region. The growth factor result for daily cases was 1.09 +/- 0.00 and daily deaths was 1.07 +/- 0.03 for COVID-19, and shows declining trends in GCC region. CONCLUSIONS: An increase in relative humidity was associated with a decrease in the number of daily cases and deaths due to COVID-19 in GCC countries. The daily growth factor for patients and deaths shows a declining trend. However, the climate is swiftly changing in the region; further studies may be conducted during the peak of summer season. The findings have outcomes for policymakers and health officials about the impact of temperature and humidity on epidemiological trends of daily new cases and deaths due to COVID-19.
引用
收藏
页码:7524 / 7533
页数:10
相关论文
共 34 条
  • [21] Temperature and precipitation associate with Covid-19 new daily cases: A correlation study between weather and Covid-19 pandemic in Oslo, Norway
    Menebo, Mesay Moges
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 737
  • [22] Discrepancies of remote techno-tolerance due to COVID-19 pandemic within Arab middle-east countries
    Muhannad A. Abu-Hashem
    Adnan Gutub
    Osama Salem
    Mohd Khaled Shambour
    Qusai Shambour
    Mohammad Shehab
    Ahmad Izzat
    Mufda J. Alrawashdeh
    Journal of Umm Al-Qura University for Engineering and Architecture, 2023, 14 (3): : 151 - 165
  • [23] Forecast predictions for the COVID-19 pandemic in Brazil by statistical modeling using the Weibull distribution for daily new cases and deaths
    Moreau, Vitor Hugo
    BRAZILIAN JOURNAL OF MICROBIOLOGY, 2020, 51 (03) : 1109 - 1115
  • [24] Forecast predictions for the COVID-19 pandemic in Brazil by statistical modeling using the Weibull distribution for daily new cases and deaths
    Vitor Hugo Moreau
    Brazilian Journal of Microbiology, 2020, 51 : 1109 - 1115
  • [25] Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model
    Bhattacharyya, Arinjita
    Chakraborty, Tanujit
    Rai, Shesh N.
    NONLINEAR DYNAMICS, 2022, 107 (03) : 3025 - 3040
  • [26] Multivariate data driven prediction of COVID-19 dynamics: Towards new results with temperature, humidity and air quality data
    Aragao, Dunfrey P.
    Oliveira, Emerson, V
    Bezerra, Arthur A.
    dos Santos, Davi H.
    da Silva Junior, Andouglas G.
    Pereira, Igor G.
    Piscitelli, Prisco
    Miani, Alessandro
    Distante, Cosimo
    Cuno, Jordan S.
    Conci, Aura
    Goncalves, Luiz M. G.
    ENVIRONMENTAL RESEARCH, 2022, 204
  • [27] Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study
    Husnayain, Atina
    Shim, Eunha
    Fuad, Anis
    Su, Emily Chia-Yu
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (12)
  • [28] Impact of National Containment Measures on Decelerating the Increase in Daily New Cases of COVID-19 in 54 Countries and 4 Epicenters of the Pandemic: Comparative Observational Study
    Wong, Carlos K. H.
    Wong, Janet Y. H.
    Tang, Eric H. M.
    Au, Chi Ho
    Lau, Kristy T. K.
    Wai, Abraham K. C.
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (07)
  • [29] Global analysis of daily new COVID-19 cases reveals many static-phase countries including the United States potentially with unstoppable epidemic
    Long, Cheng
    Fu, Xin-Miao
    Fu, Zhi-Fu
    WORLD JOURNAL OF CLINICAL CASES, 2020, 8 (19) : 4431 - 4442
  • [30] Modelling and forecasting of growth rate of new COVID-19 cases in top nine affected countries: Considering conditional variance and asymmetric effect
    Ekinci, Aykut
    CHAOS SOLITONS & FRACTALS, 2021, 151