Potential Contribution of Climate Conditions on COVID-19 Pandemic Transmission over West and North African Countries

Diouf, Ibrahima; Sy, Souleymane; Senghor, Habib; Fall, Papa Ahmed; Diouf, Doudou; Diakhaté, Moussa; Thiaw, Wassila M.; Gaye, Amadou Thierno

doi:10.3390/atmos13010034

Cited by 9 publications

(18 citation statements)

References 57 publications

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“…Correlations with humidity and water vapor characteristics exhibited significant and positive values over the Sahelian and Gulf of Guinea countries and negative values over the Maghreb countries. The results also demonstrated that COVID-19 pandemic transmission is affected differently by the three climatic regions: (i) cold and dry environmental conditions; (ii) warm and humid environmental conditions; and (iii) cold and humid environmental conditions [32].…”

Section: Temperature Humidity and Wind Speedmentioning

confidence: 79%

“…This result explains why the frequency of cases in various African and Asian nations has decreased in recent months. However, even though this was the result, more research is still needed to figure out why the COVID-19 pandemic reacts differently to the weather conditions in different parts of Africa [32].…”

Section: Discussionmentioning

confidence: 98%

Section: Temperature Humidity and Wind Speedmentioning

confidence: 97%

“…Diouf et al [32] found statistically significant inverse correlations between COVID-19 cases and temperature in the Maghreb and Gulf of Guinea. Niger and Mali, however, exhibited positive relationships [32]. Correlations with humidity and water vapor characteristics exhibited significant and positive values over the Sahelian and Gulf of Guinea countries and negative values over the Maghreb countries.…”

Section: Temperature Humidity and Wind Speedmentioning

confidence: 97%

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Climatic and Environmental Factors Influencing COVID-19 Transmission—An African Perspective

et al. 2022

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Since the outbreak of COVID-19 was decreed by the World Health Organization as a public health emergency of worldwide concern, the epidemic has drawn attention from all around the world. The disease has since spread globally in developed and developing countries. The African continent has not been spared from the pandemic; however, the low number of cases in Africa compared to developed countries has brought about more questions than answers. Africa is known to have a poor healthcare system that cannot sustain the emerging infectious disease pandemic. This study explored climatic and environmental elements influencing COVID-19 transmission in Africa. This study involved manuscripts and data that evaluated and investigated the climatic and environmental elements of COVID-19 in African countries. Only articles written in English were considered in the systematic review. Seventeen articles and one database were selected for manuscript write-ups after the review process. The findings indicated that there is evidence that suggests the influence of climatic and environmental elements on the spread of COVID-19 in the continent of Africa; however, the evidence needs more investigation in all six regions of Africa and at the country level to understand the role of weather patterns and environmental aspects in the transmission of COVID-19.

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Section: Temperature Humidity and Wind Speedmentioning

confidence: 79%

Section: Discussionmentioning

confidence: 98%

Section: Temperature Humidity and Wind Speedmentioning

confidence: 97%

Section: Temperature Humidity and Wind Speedmentioning

confidence: 97%

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Climatic and Environmental Factors Influencing COVID-19 Transmission—An African Perspective

et al. 2022

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“…Kendall rank correlation test has demonstrated to be less sensitive to errors and discrepancies in data compared to Pearson or Spearman tests (e.g., Diouf et al, 2022). Finally, the orographydependent temperature/precipitation biases are also examined.…”

Section: B Evaluation Metricsmentioning

confidence: 99%

Assessment of NA-CORDEX regional climate models, reanalysis, and in-situ gridded-observational against U.S. Climate Reference Network datasets

Madonna

Serva

et al. 2022

Preprint

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Climate models still need to be improved in their capability of reproducing the present climate at both global and regional scale. The assessment of their performance depends on the datasets used as comparators. Reanalysis and gridded (homogenized or not homogenized) observational datasets have been frequently used for this purpose. However, none of these can be considered a reference dataset. Here, for the first time, using in-situ measurements from NOAA U.S. Climate Reference Network (USCRN), a network of 139 stations with high-quality instruments deployed across the continental U.S, daily temperature, and precipitation from a suite of dynamically downscaled regional climate models (RCMs; driven by ERA-Interim) involved in NA-CORDEX are assessed. The assessment is extended also to the most recent and modern widely used reanalysis (ERA5, ERA-Interim, MERRA2, NARR) and gridded observational datasets (Daymet, PRISM, Livneh, CPC). Results show that biases for the different datasets are mainly seasonal and subregional dependent. On average, reanalysis and in-situ-based datasets are generally warmer than USCRN year-round, while models are colder (warmer) in winter (summer). In-situ-based datasets provide the best performance in most of the CONUS regions compared to reanalysis and models, but still have biases in regions such as the Midwest mountains and the Northwestern Pacific. Results also highlight that reanalysis does not outperform RCMs in most of the U.S. subregions. Likewise, for both reanalysis and models, temperature and precipitation biases are also significantly depending on the orography, with larger temperature biases for coarser model resolutions and precipitation biases for reanalysis.

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Assessment of NA‐CORDEX regional climate models, reanalysis and in situ gridded‐observational data sets against the U.S. Climate Reference Network

SY,

Madonna,

Serva

et al. 2023

Intl Journal of Climatology

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Climate models' capability of reproducing the present climate at both global and regional scales still needs improvements. The assessment of model performance critically depends on the data sets used as comparators/references. Reanalysis and gridded observational data sets have been frequently used for this purpose. However, none of these can be considered an accurate reference data set because of their associated uncertainties and full representativity. This paper, for the first time, uses in‐situ measurements from National Oceanic and Atmospheric Administration U.S. Climate Reference Network (USCRN) spanning the period 2006–2020 to assess daily temperature and precipitation from a suite of dynamically downscaled regional climate models (RCMs; driven by ERA‐Interim) involved in NA‐CORDEX. The assessment is also extended to the most recent and widely used Earth system reanalyses (ERA5, ERA‐Interim, MERRA2 and NARR) and a few in situ‐based gridded data sets (Daymet, PRISM, Livneh and CPC). Results show that biases for the different data sets are seasonally and subregionally dependent. On average, reanalysis and in situ‐based gridded data sets are warmer (with biases exceeding 0.3°C) than USCRN year‐round, while RCMs are colder (warmer) in winter (summer) with biases ranging from −0.5 (0.9)°C for RCMs at 0.44° to −0.2 (1.4)°C for CRCM5‐UQAM‐11. In situ‐based gridded data sets provide the best performance in most of the Contiguous United States (CONUS) regions compared to reanalyses and RCMs, but still have biases in regions such as the Western mountains and the Pacific Northwest. Furthermore, in most US subregions, reanalysis data sets do not outperform reanalysis‐driven RCMs. Likewise, for both reanalysis data sets and RCMs, temperature and precipitation biases vary considerably depending on the local orography, with larger temperature biases for coarser model resolutions and precipitation biases for reanalysis.

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Potential Contribution of Climate Conditions on COVID-19 Pandemic Transmission over West and North African Countries

Cited by 9 publications

References 57 publications

Climatic and Environmental Factors Influencing COVID-19 Transmission—An African Perspective

Climatic and Environmental Factors Influencing COVID-19 Transmission—An African Perspective

Assessment of NA-CORDEX regional climate models, reanalysis, and in-situ gridded-observational against U.S. Climate Reference Network datasets

Assessment of NA‐CORDEX regional climate models, reanalysis and in situ gridded‐observational data sets against the U.S. Climate Reference Network

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