#camels — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #camels, aggregated by home.social.
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Comparing Multi-Model Mosaic And Multi-Model Combination Methods To Simulate Streamflow Across The Contiguous USA
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https://doi.org/10.5194/hess-30-3945-2026 <-- shared paper
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H/T @cyril THEBAULT | Postdoctoral Fellow chez Earth Sciences New Zealand
“[They] compared different multi-model approaches for streamflow simulation using 78 hydrological models across 559 catchments in the United States. [Their] results show that while multi-model combinations can slightly improve accuracy and reduce uncertainty, no single approach performs best everywhere.
One interesting takeaway is that a carefully selected single model can perform as well as more complex multi-model approaches when it is chosen based on a comparative evaluation rather than simply inherited from legacy operational systems... 👀”
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“The ability to accurately predict streamflow underpins decisions in water management, flood prevention, and sectoral planning. Traditional approaches for streamflow prediction often rely on a single model, thereby overlooking potential benefits from using multiple models. To address this limitation, this study explores alternative methods that select and combine multiple models to enhance streamflow simulations. Specifically, [they] assess[ed] the performance of multi-model mosaic methods that assign a single model to each catchment, and multi-model combination methods that merge multiple models using static or dynamic weighting schemes. The Framework for Understanding Structural Errors (FUSE) is used to create an ensemble of 78 hydrological models, which were applied to 544 catchments from the CAMELS dataset across the contiguous United States. Each of the 78 models is calibrated utilizing a composite objective function, calculated as the average of a high-flow and a low-flow performance metric, to cover a wide range of streamflow conditions. Based on [their] selection of lumped FUSE models, the results show that a carefully chosen single model from a larger ensemble can closely approach the performance of more complex multi-model strategies. Among the multi-model approaches, the combination and mosaic methods show broadly similar overall skill, although the combination approaches deliver slightly higher performance and lower sampling uncertainty. However, per-catchment differences persist, indicating that no single multi-model strategy dominates everywhere. This heterogeneity in performance makes it difficult to determine a priori which multi-model method will best represent streamflow in a given catchment…”
#water #hydrology #streamflow #USA #CONUS #multimodel #simulation #hydrologic #model #modeling #catchments #watermanagement #waterresources #planning #watersecurity #flood #flooding #prediction #FUSE #CAMELS #spatialanalysis #spatiotemporal -
Comparing Multi-Model Mosaic And Multi-Model Combination Methods To Simulate Streamflow Across The Contiguous USA
--
https://doi.org/10.5194/hess-30-3945-2026 <-- shared paper
--
H/T @cyril THEBAULT | Postdoctoral Fellow chez Earth Sciences New Zealand
“[They] compared different multi-model approaches for streamflow simulation using 78 hydrological models across 559 catchments in the United States. [Their] results show that while multi-model combinations can slightly improve accuracy and reduce uncertainty, no single approach performs best everywhere.
One interesting takeaway is that a carefully selected single model can perform as well as more complex multi-model approaches when it is chosen based on a comparative evaluation rather than simply inherited from legacy operational systems... 👀”
--
“The ability to accurately predict streamflow underpins decisions in water management, flood prevention, and sectoral planning. Traditional approaches for streamflow prediction often rely on a single model, thereby overlooking potential benefits from using multiple models. To address this limitation, this study explores alternative methods that select and combine multiple models to enhance streamflow simulations. Specifically, [they] assess[ed] the performance of multi-model mosaic methods that assign a single model to each catchment, and multi-model combination methods that merge multiple models using static or dynamic weighting schemes. The Framework for Understanding Structural Errors (FUSE) is used to create an ensemble of 78 hydrological models, which were applied to 544 catchments from the CAMELS dataset across the contiguous United States. Each of the 78 models is calibrated utilizing a composite objective function, calculated as the average of a high-flow and a low-flow performance metric, to cover a wide range of streamflow conditions. Based on [their] selection of lumped FUSE models, the results show that a carefully chosen single model from a larger ensemble can closely approach the performance of more complex multi-model strategies. Among the multi-model approaches, the combination and mosaic methods show broadly similar overall skill, although the combination approaches deliver slightly higher performance and lower sampling uncertainty. However, per-catchment differences persist, indicating that no single multi-model strategy dominates everywhere. This heterogeneity in performance makes it difficult to determine a priori which multi-model method will best represent streamflow in a given catchment…”
#water #hydrology #streamflow #USA #CONUS #multimodel #simulation #hydrologic #model #modeling #catchments #watermanagement #waterresources #planning #watersecurity #flood #flooding #prediction #FUSE #CAMELS #spatialanalysis #spatiotemporal -
Comparing Multi-Model Mosaic And Multi-Model Combination Methods To Simulate Streamflow Across The Contiguous USA
--
https://doi.org/10.5194/hess-30-3945-2026 <-- shared paper
--
H/T @cyril THEBAULT | Postdoctoral Fellow chez Earth Sciences New Zealand
“[They] compared different multi-model approaches for streamflow simulation using 78 hydrological models across 559 catchments in the United States. [Their] results show that while multi-model combinations can slightly improve accuracy and reduce uncertainty, no single approach performs best everywhere.
One interesting takeaway is that a carefully selected single model can perform as well as more complex multi-model approaches when it is chosen based on a comparative evaluation rather than simply inherited from legacy operational systems... 👀”
--
“The ability to accurately predict streamflow underpins decisions in water management, flood prevention, and sectoral planning. Traditional approaches for streamflow prediction often rely on a single model, thereby overlooking potential benefits from using multiple models. To address this limitation, this study explores alternative methods that select and combine multiple models to enhance streamflow simulations. Specifically, [they] assess[ed] the performance of multi-model mosaic methods that assign a single model to each catchment, and multi-model combination methods that merge multiple models using static or dynamic weighting schemes. The Framework for Understanding Structural Errors (FUSE) is used to create an ensemble of 78 hydrological models, which were applied to 544 catchments from the CAMELS dataset across the contiguous United States. Each of the 78 models is calibrated utilizing a composite objective function, calculated as the average of a high-flow and a low-flow performance metric, to cover a wide range of streamflow conditions. Based on [their] selection of lumped FUSE models, the results show that a carefully chosen single model from a larger ensemble can closely approach the performance of more complex multi-model strategies. Among the multi-model approaches, the combination and mosaic methods show broadly similar overall skill, although the combination approaches deliver slightly higher performance and lower sampling uncertainty. However, per-catchment differences persist, indicating that no single multi-model strategy dominates everywhere. This heterogeneity in performance makes it difficult to determine a priori which multi-model method will best represent streamflow in a given catchment…”
#water #hydrology #streamflow #USA #CONUS #multimodel #simulation #hydrologic #model #modeling #catchments #watermanagement #waterresources #planning #watersecurity #flood #flooding #prediction #FUSE #CAMELS #spatialanalysis #spatiotemporal -
Comparing Multi-Model Mosaic And Multi-Model Combination Methods To Simulate Streamflow Across The Contiguous USA
--
https://doi.org/10.5194/hess-30-3945-2026 <-- shared paper
--
H/T @cyril THEBAULT | Postdoctoral Fellow chez Earth Sciences New Zealand
“[They] compared different multi-model approaches for streamflow simulation using 78 hydrological models across 559 catchments in the United States. [Their] results show that while multi-model combinations can slightly improve accuracy and reduce uncertainty, no single approach performs best everywhere.
One interesting takeaway is that a carefully selected single model can perform as well as more complex multi-model approaches when it is chosen based on a comparative evaluation rather than simply inherited from legacy operational systems... 👀”
--
“The ability to accurately predict streamflow underpins decisions in water management, flood prevention, and sectoral planning. Traditional approaches for streamflow prediction often rely on a single model, thereby overlooking potential benefits from using multiple models. To address this limitation, this study explores alternative methods that select and combine multiple models to enhance streamflow simulations. Specifically, [they] assess[ed] the performance of multi-model mosaic methods that assign a single model to each catchment, and multi-model combination methods that merge multiple models using static or dynamic weighting schemes. The Framework for Understanding Structural Errors (FUSE) is used to create an ensemble of 78 hydrological models, which were applied to 544 catchments from the CAMELS dataset across the contiguous United States. Each of the 78 models is calibrated utilizing a composite objective function, calculated as the average of a high-flow and a low-flow performance metric, to cover a wide range of streamflow conditions. Based on [their] selection of lumped FUSE models, the results show that a carefully chosen single model from a larger ensemble can closely approach the performance of more complex multi-model strategies. Among the multi-model approaches, the combination and mosaic methods show broadly similar overall skill, although the combination approaches deliver slightly higher performance and lower sampling uncertainty. However, per-catchment differences persist, indicating that no single multi-model strategy dominates everywhere. This heterogeneity in performance makes it difficult to determine a priori which multi-model method will best represent streamflow in a given catchment…”
#water #hydrology #streamflow #USA #CONUS #multimodel #simulation #hydrologic #model #modeling #catchments #watermanagement #waterresources #planning #watersecurity #flood #flooding #prediction #FUSE #CAMELS #spatialanalysis #spatiotemporal -
Comparing Multi-Model Mosaic And Multi-Model Combination Methods To Simulate Streamflow Across The Contiguous USA
--
https://doi.org/10.5194/hess-30-3945-2026 <-- shared paper
--
H/T @cyril THEBAULT | Postdoctoral Fellow chez Earth Sciences New Zealand
“[They] compared different multi-model approaches for streamflow simulation using 78 hydrological models across 559 catchments in the United States. [Their] results show that while multi-model combinations can slightly improve accuracy and reduce uncertainty, no single approach performs best everywhere.
One interesting takeaway is that a carefully selected single model can perform as well as more complex multi-model approaches when it is chosen based on a comparative evaluation rather than simply inherited from legacy operational systems... 👀”
--
“The ability to accurately predict streamflow underpins decisions in water management, flood prevention, and sectoral planning. Traditional approaches for streamflow prediction often rely on a single model, thereby overlooking potential benefits from using multiple models. To address this limitation, this study explores alternative methods that select and combine multiple models to enhance streamflow simulations. Specifically, [they] assess[ed] the performance of multi-model mosaic methods that assign a single model to each catchment, and multi-model combination methods that merge multiple models using static or dynamic weighting schemes. The Framework for Understanding Structural Errors (FUSE) is used to create an ensemble of 78 hydrological models, which were applied to 544 catchments from the CAMELS dataset across the contiguous United States. Each of the 78 models is calibrated utilizing a composite objective function, calculated as the average of a high-flow and a low-flow performance metric, to cover a wide range of streamflow conditions. Based on [their] selection of lumped FUSE models, the results show that a carefully chosen single model from a larger ensemble can closely approach the performance of more complex multi-model strategies. Among the multi-model approaches, the combination and mosaic methods show broadly similar overall skill, although the combination approaches deliver slightly higher performance and lower sampling uncertainty. However, per-catchment differences persist, indicating that no single multi-model strategy dominates everywhere. This heterogeneity in performance makes it difficult to determine a priori which multi-model method will best represent streamflow in a given catchment…”
#water #hydrology #streamflow #USA #CONUS #multimodel #simulation #hydrologic #model #modeling #catchments #watermanagement #waterresources #planning #watersecurity #flood #flooding #prediction #FUSE #CAMELS #spatialanalysis #spatiotemporal -
People along the Nile River, Egypt, ~1900?
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People along the Nile River, Egypt, ~1900?
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Jordan describing a 'compound word' that was a pop cultural 'moment that inspired songs, music, poems, musical sketches and high fashion'
immediately, me, thinking she was being a little tongue-in-cheek:
To find out what she was *actually* talking about, check out our most recent #podcast on #Camelopardalis / #giraffes in #PopCulture here: https://starrytimepodcast.podbean.com/e/camelopardalis-pop-culture-superstar/
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Jordan describing a 'compound word' that was a pop cultural 'moment that inspired songs, music, poems, musical sketches and high fashion'
immediately, me, thinking she was being a little tongue-in-cheek:
To find out what she was *actually* talking about, check out our most recent #podcast on #Camelopardalis / #giraffes in #PopCulture here: https://starrytimepodcast.podbean.com/e/camelopardalis-pop-culture-superstar/
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Kalmyk soldier of Tsarist Russia riding a Bactrian Camel, Ukraine, WW1, 1915
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Kalmyk soldier of Tsarist Russia riding a Bactrian Camel, Ukraine, WW1, 1915
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Kalmyk soldier of Tsarist Russia riding a Bactrian Camel, Ukraine, WW1, 1915
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Kalmyk soldier of Tsarist Russia riding a Bactrian Camel, Ukraine, WW1, 1915
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Arab troops during the time of the Prophet Muhammad
https://piefed.social/c/historyart/p/2010747/arab-troops-during-the-time-of-the-prophet-muhammad
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Arab troops during the time of the Prophet Muhammad
https://piefed.social/c/historyart/p/2010747/arab-troops-during-the-time-of-the-prophet-muhammad
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Fatimid Caliphate troops in North Africa, ~10th century AD
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Fatimid Caliphate troops in North Africa, ~10th century AD
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Figurine of musicians atop a camel, Tang Dynasty China, 7th-9th century AD
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Figurine of musicians atop a camel, Tang Dynasty China, 7th-9th century AD
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Ruins of Ephesus near Selcuk, Turkiye, 1962
https://piefed.social/c/historyruins/p/1843860/ruins-of-ephesus-near-selcuk-turkiye-1962
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Ruins of Ephesus near Selcuk, Turkiye, 1962
https://piefed.social/c/historyruins/p/1843860/ruins-of-ephesus-near-selcuk-turkiye-1962
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Ruins of Ephesus near Selcuk, Turkiye, 1962
https://piefed.social/c/historyphotos/p/1843859/ruins-of-ephesus-near-selcuk-turkiye-1962
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Ruins of Ephesus near Selcuk, Turkiye, 1962
https://piefed.social/c/historyphotos/p/1843859/ruins-of-ephesus-near-selcuk-turkiye-1962
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Decoding #antibody response to #MERS-CoV in wild dromedary #camels, https://etidiohnew.blogspot.com/2026/02/decoding-antibody-response-to-mers-cov.html
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Decoding #antibody response to #MERS-CoV in wild dromedary #camels, https://etidiohnew.blogspot.com/2026/02/decoding-antibody-response-to-mers-cov.html
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Local and introduced #lineages drive #MERS-CoV #recombination in Egyptian #camels, https://etidiohnew.blogspot.com/2025/12/local-and-introduced-lineages-drive.html
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Local and introduced #lineages drive #MERS-CoV #recombination in Egyptian #camels, https://etidiohnew.blogspot.com/2025/12/local-and-introduced-lineages-drive.html
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Speaking to reporters before his party’s faction meeting today, Smotrich insists that Israel “has always extended a hand in peace” but “will not accept any conditions that involve dividing the land, giving up parts of our homeland, or denying our heritage and our roots.”
Smotrich said Thursday that he wouldn’t agree to a normalization agreement with Saudi Arabia if it meant the establishment of a Palestinian state, disparagingly saying the Saudis could “keep riding camels.”
#BezalelSmotrichToICC #ItamarBenGvirToICC #BenjaminNetanyahuToICC #FrancescaAlbaneseIsRight #Camels #Gaza #Westbank #Genocide #GazaGenocide #Lebanon #Syria #Yemen #Iran #Qatar #SaudiArabia
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Speaking to reporters before his party’s faction meeting today, Smotrich insists that Israel “has always extended a hand in peace” but “will not accept any conditions that involve dividing the land, giving up parts of our homeland, or denying our heritage and our roots.”
Smotrich said Thursday that he wouldn’t agree to a normalization agreement with Saudi Arabia if it meant the establishment of a Palestinian state, disparagingly saying the Saudis could “keep riding camels.”
#BezalelSmotrichToICC #ItamarBenGvirToICC #BenjaminNetanyahuToICC #FrancescaAlbaneseIsRight #Camels #Gaza #Westbank #Genocide #GazaGenocide #Lebanon #Syria #Yemen #Iran #Qatar #SaudiArabia
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Speaking to reporters before his party’s faction meeting today, Smotrich insists that Israel “has always extended a hand in peace” but “will not accept any conditions that involve dividing the land, giving up parts of our homeland, or denying our heritage and our roots.”
Smotrich said Thursday that he wouldn’t agree to a normalization agreement with Saudi Arabia if it meant the establishment of a Palestinian state, disparagingly saying the Saudis could “keep riding camels.”
#BezalelSmotrichToICC #ItamarBenGvirToICC #BenjaminNetanyahuToICC #FrancescaAlbaneseIsRight #Camels #Gaza #Westbank #Genocide #GazaGenocide #Lebanon #Syria #Yemen #Iran #Qatar #SaudiArabia
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Camels are being trialled to help tackle invasive prickly acacia in outback Queensland.
Could this low-tech, eco-friendly approach be the future of pest plant control in Australia’s rangelands?#camels #environment #queensland #invasivespecies #landmanagement
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🟡 Egyptian Camel Caravan Near Olivet, Jerusalem, Palestine 1918
#Camels, #Desert, #Early20thCentury, #Egypt, #Jerusalem, #MountOfOlives, #Olivet, #Palestine
Vintage ◦ Classic ◦ Historical | Art ◦ Design ◦ Inspiration | Restored ◦ Enhanced ◦ Remixed
Prints, T-Shirts, Stickers, & More by @rocketshipretro via RedBubble → https://bigplanetprints.com/go/zFGDJr -
🟡 Egyptian Camel Caravan Near Olivet, Jerusalem, Palestine 1918
#Camels, #Desert, #Early20thCentury, #Egypt, #Jerusalem, #MountOfOlives, #Olivet, #Palestine
Vintage ◦ Classic ◦ Historical | Art ◦ Design ◦ Inspiration | Restored ◦ Enhanced ◦ Remixed
Prints, T-Shirts, Stickers, & More by @rocketshipretro via RedBubble → https://bigplanetprints.com/go/zFGDJr -
🟡 Egyptian Camel Caravan Near Olivet, Jerusalem, Palestine 1918
#Camels, #Desert, #Early20thCentury, #Egypt, #Jerusalem, #MountOfOlives, #Olivet, #Palestine
Vintage ◦ Classic ◦ Historical | Art ◦ Design ◦ Inspiration | Restored ◦ Enhanced ◦ Remixed
Prints, T-Shirts, Stickers, & More by @rocketshipretro via RedBubble → https://bigplanetprints.com/go/zFGDJr -
🟡 Egyptian Camel Caravan Near Olivet, Jerusalem, Palestine 1918
#Camels, #Desert, #Early20thCentury, #Egypt, #Jerusalem, #MountOfOlives, #Olivet, #Palestine
Vintage ◦ Classic ◦ Historical | Art ◦ Design ◦ Inspiration | Restored ◦ Enhanced ◦ Remixed
Prints, T-Shirts, Stickers, & More by @rocketshipretro via RedBubble → https://bigplanetprints.com/go/zFGDJr -
Die kleine Karawane ist weitergezogen.
Die Spuren vom Winde verweht.
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The little caravan has moved on.
The tracks are blown away by the wind.
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#caravan #caravanlife #sun #heat #camels #sun #heat #movedon #tracks #blownaway #dunes #sand #desert #desertstorm #sandstorm #photo #photography #photographyislife #travelphotography #africa #marocco #landscapephotography #landscapes #wüste #sanddunes -
Die kleine Karawane ist weitergezogen.
Die Spuren vom Winde verweht.
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The little caravan has moved on.
The tracks are blown away by the wind.
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#caravan #caravanlife #sun #heat #camels #sun #heat #movedon #tracks #blownaway #dunes #sand #desert #desertstorm #sandstorm #photo #photography #photographyislife #travelphotography #africa #marocco #landscapephotography #landscapes #wüste #sanddunes -
Ongoing #Evolution of #MERS-CoV, #Saudi Arabia, 2023–2024
Source: Emerging Infectious Diseases Journal, https://wwwnc.cdc.gov/eid/article/31/1/24-1030_article
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) circulates in dromedary camels in the Arabian Peninsula and occasionally causes spillover infections in humans. MERS-CoV diversity is poorly understood because of the lack of sampling during the COVID-19 pandemic. We collected 558 swab samples from dromedary camels in Saudi Arabia during November 2023–January 2024. We found 39% were positive for MERS-CoV RNA by reverse transcription PCR. We sequenced 42 MERS-CoVs and 7 human 229E-related coronaviruses from camel swab samples by using high-throughput sequencing. Sequences from both viruses formed monophyletic clades apical to recently available genomes. MERS-CoV sequences were most similar to B5 lineage sequences and harbored unique genetic features, including novel amino acid polymorphisms in the spike protein. Further characterization will be required to understand their effects. MERS-CoV spillover into humans poses considerable public health concerns. Our findings indicate surveillance and phenotypic studies are needed to identify and monitor MERS-CoV pandemic potential.____
#abstract #betacoronavirus #camels #coronavirus #covid #COVID19 #health #merbecovirus #mersCov #research #sarsCov2 #SAUDIARABIA #vaccine
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Ongoing #Evolution of #MERS-CoV, #Saudi Arabia, 2023–2024
Source: Emerging Infectious Diseases Journal, https://wwwnc.cdc.gov/eid/article/31/1/24-1030_article
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) circulates in dromedary camels in the Arabian Peninsula and occasionally causes spillover infections in humans. MERS-CoV diversity is poorly understood because of the lack of sampling during the COVID-19 pandemic. We collected 558 swab samples from dromedary camels in Saudi Arabia during November 2023–January 2024. We found 39% were positive for MERS-CoV RNA by reverse transcription PCR. We sequenced 42 MERS-CoVs and 7 human 229E-related coronaviruses from camel swab samples by using high-throughput sequencing. Sequences from both viruses formed monophyletic clades apical to recently available genomes. MERS-CoV sequences were most similar to B5 lineage sequences and harbored unique genetic features, including novel amino acid polymorphisms in the spike protein. Further characterization will be required to understand their effects. MERS-CoV spillover into humans poses considerable public health concerns. Our findings indicate surveillance and phenotypic studies are needed to identify and monitor MERS-CoV pandemic potential.____
#abstract #betacoronavirus #camels #coronavirus #covid #COVID19 #health #merbecovirus #mersCov #research #sarsCov2 #SAUDIARABIA #vaccine
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Ongoing #Evolution of #MERS-CoV, #Saudi Arabia, 2023–2024
Source: Emerging Infectious Diseases Journal, https://wwwnc.cdc.gov/eid/article/31/1/24-1030_article
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) circulates in dromedary camels in the Arabian Peninsula and occasionally causes spillover infections in humans. MERS-CoV diversity is poorly understood because of the lack of sampling during the COVID-19 pandemic. We collected 558 swab samples from dromedary camels in Saudi Arabia during November 2023–January 2024. We found 39% were positive for MERS-CoV RNA by reverse transcription PCR. We sequenced 42 MERS-CoVs and 7 human 229E-related coronaviruses from camel swab samples by using high-throughput sequencing. Sequences from both viruses formed monophyletic clades apical to recently available genomes. MERS-CoV sequences were most similar to B5 lineage sequences and harbored unique genetic features, including novel amino acid polymorphisms in the spike protein. Further characterization will be required to understand their effects. MERS-CoV spillover into humans poses considerable public health concerns. Our findings indicate surveillance and phenotypic studies are needed to identify and monitor MERS-CoV pandemic potential.____
#abstract #betacoronavirus #camels #coronavirus #covid #COVID19 #health #merbecovirus #mersCov #research #sarsCov2 #SAUDIARABIA #vaccine
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Ongoing #Evolution of #MERS-CoV, #Saudi Arabia, 2023–2024
Source: Emerging Infectious Diseases Journal, https://wwwnc.cdc.gov/eid/article/31/1/24-1030_article
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) circulates in dromedary camels in the Arabian Peninsula and occasionally causes spillover infections in humans. MERS-CoV diversity is poorly understood because of the lack of sampling during the COVID-19 pandemic. We collected 558 swab samples from dromedary camels in Saudi Arabia during November 2023–January 2024. We found 39% were positive for MERS-CoV RNA by reverse transcription PCR. We sequenced 42 MERS-CoVs and 7 human 229E-related coronaviruses from camel swab samples by using high-throughput sequencing. Sequences from both viruses formed monophyletic clades apical to recently available genomes. MERS-CoV sequences were most similar to B5 lineage sequences and harbored unique genetic features, including novel amino acid polymorphisms in the spike protein. Further characterization will be required to understand their effects. MERS-CoV spillover into humans poses considerable public health concerns. Our findings indicate surveillance and phenotypic studies are needed to identify and monitor MERS-CoV pandemic potential.____
#abstract #betacoronavirus #camels #coronavirus #covid #COVID19 #health #merbecovirus #mersCov #research #sarsCov2 #SAUDIARABIA #vaccine
