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How to contain avian flu H5N1 if human-to-human spread begins At this point, avian flu H5N1 is thought to have very limited ability to transmit between humans, but a recent case in British Columbia with an unknown source of transmission has piqued the curiosity…

How to contain #avian #flu #H5N1 if human-to-human spread begins ...

| #AvianInfluenza | #BirdFlu | #microsky | #AvianFlu | #microbiology | #pathogen | #outbreak | Via @sciencex.bsky.social

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Nine people sick from E coli linked to raw cheese from California farm, more than half of them children Raw Farm was also linked to 2024 salmonella outbreak that sickened 165 people and deaths of two cats from bird flu

#People ill from E coli linked to raw #cheese from #California #farm ...

| #Ecoli | #pathogen | #microsky | #publichealth | Via @theguardian.com

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Health warning issued after highly infectious disease detected Gold Coast Health raised the alarm today after two individuals unknowingly contracted the viral infection o...

Health warning issued after #measles detected on the Gold #Coast ...

| #virus | #microbiology | #pathogen | #publichealth | Via @9news.bsky.social

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Scientists identify new Fusarium species behind wheat disease outbreak in Ethiopia New research provides insights into the severe 2022 outbreak of Fusarium head blight in Ethiopia and identifies emerging fungal pathogens that could have broader implications for global wheat…

#Scientists identify new #Fusarium species behind #wheat #disease #outbreak in #Ethiopia ...

| #pathogen | #fungi | #microbiology | #toxins | By @plantdisease.bsky.social via eurekalert .org

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Decoding the complete genome of the fungus responsible for Cercospora leaf spot in olive trees Collaboration between the UCO's Agronomy and Genetics departments was key to sequencing the genome of this pathogen, which is responsible for losses of up to €50 million per year. Cercospora leaf…

Decoding the complete #genome of the #fungus responsible for #Cercospora leaf spot in #olive #trees ...

| #fungi | #pathogen | #CercosporaLeafSpot | #Pseudocercospora | Via @sciencex.bsky.social

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E. Coli outbreak linked to cheeses grows. See affected states, items. More than half of the people sickened in the E. coli outbreak are children under the age of 5, said the FDA.

E. Coli #outbreak linked to #cheeses grows ...

| #Ecoli | #bacteria | #microsky | #food | #pathogen | #publichealth | By @marywhnews.bsky.social via @usatoday.com

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‘White plague’ is on the rise in the US — it’s deadlier than COVID and becoming antibiotic-resistant One of humanity’s oldest and deadliest killers is staging a modern-day comeback.

‘White plague’ is on the rise in the United States ...

| #TB | #infections | #pathogen | #tuberculosis | #Mycobacterium | #microbiology | #bacteria | Via @nypost.com

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New COVID-19 variant 'Cicada' is spreading. What to know about BA.3.2. A COVID mutation that previously went under the radar, BA.3.2, has been detected in 25 states, said the CDC. Nicknamed "cicada" it's been found in 23 countries.

New #COVID-19 #variant 'Cicada' is spreading ...

| #coronavirus | #MicroSky | #Cicada | #SARSCoV2 | #mutant | #COVID19 | #pathogen | #infections | By @marywhnews.bsky.social via @usatoday.com

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New bacterial disease in corn and sorghum mistaken for iron deficiency | AGDAILY Researchers have identified a new bacterial disease in corn and sorghum that mimics iron deficiency, potentially leading to misdiagnosis.

New #bacterial #disease in #corn and #sorghum mistaken for #iron deficiency ...

| #bacteria | #MicroSky | #pathogen | #Pantoea | Via agdaily .com

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As antibiotics fail, a new treatment targets the host, not the bacteria As antibiotic resistance continues to rise worldwide, scientists are searching for new strategies to combat infections. This latest research at Trinity Translational Medicine Institute at Trinity…

As #antibiotics fail, a new treatment targets the #host, not the #bacteria ...

| #MicroSky | #pathogen | #infections | #antibioticresistance | #microbes | By @tcddublin.bsky.social via @sciencex.bsky.social

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Skin's immune response could be key to fighting dengue Dengue, a mosquito-borne viral disease, infects an estimated 390 million people and causes around 20,000 deaths worldwide each year. New research suggests the skin is a major site of immune…

#Skin's immune response could be key to fighting #dengue ...

| #virus | #pathogen | #virology | #infections | #ImmuneResponse | By @bristoluni.bsky.social via @sciencex.bsky.social

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Measles continues spread with exposure at grocery stores, medical offices, temple open house As measles cases in Utah during the recent outbreak near 500, the Utah Department of Health and Human Services is continuing to list more exposure locations.

#Measles continues spread with exposure at #grocery stores, #medical #offices, #temple open house ...

| #virus | #pathogen | #publichealth | #infections | #MicroSky | Via @ksl.com

www.ksl.com/article/5147...

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Florida health officials report another seven measles cases • Florida Phoenix The number of measles cases in Florida climbed to 140 as of March 14, with seven additional cases disclosed to the Florida Department of Health in the last reporting week. Six of the new cases are in…

Another seven #measles cases reported in #Florida ...

| #virus | #infections | #pathogen | #publichealth | Via @floridaphoenix.com

floridaphoenix.com/2026/03/24/f...

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What are they calling it....#TRUMP? ¯\_(ツ)_/¯
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#Scientists created an #antibody that can #eradicate an #infection that affects 95% of the global #population.

#EpsteinBarr #virus (#EBV) is a #pervasive #pathogen, infecting nearly 95% of #humans & persisting for #life. #science #biology #health

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Researchers reveal m6A epigenetic modification controls arbovirus infection and transmission between vertebrates and mosquitoes A research team led by Prof. ZHENG Aihua from the Institute of Zoology of the Chinese Academy of Sciences revealed that N6-methyladenosine (m6A) epigenetic modifications in mosquito-borne…

#m6A #epigenetic modification controls #arbovirus #infection and transmission between #vertebrates and #mosquitoes ...

| #Arthropod | #arboviruses | #dengue | #pathogen | #Zika | #MicroSky | Via eurekalert .org

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New Covid variant has been identified and is already spreading in 25 states Researchers say the strain could evade protection from current Covid shots

New #COVID #variant has been identified and is already spreading in the United States ...

| #SARSCoV2 | #MicroSky | #virology | #coronavirus | #COVID19 | #pathogen | #infections | By @juliaelenamusto.bsky.social via @the-independent.com

www.independent.co.uk/news/health/...

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Eastern Idaho sees ‘concerning increase’ in HIV infections - East Idaho News IDAHO FALLS — In the first three months of 2026, there have been seven newly diagnosed cases of HIV infection in the local area compared to an average of seven cases annually for the previous five…

Eastern #Idaho sees ‘concerning increase’ in #HIV #infections ...

| #virus | #pathogen | #MicroSky | #HumanImmunodeficiencyVirus | Via eastidahonews .com

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Processes that can potentially influence emergence risk. Simony and Kennedy investigate the role of spillover rate (λ in their model) and the timescale over which spillovers have happened (Tp in their model) on the probability that a disease circulating in a reservoir host (here, gorillas) emerges in humans. Red viruses and arrows indicate spillover events; infected individuals (gorillas and humans) are shown in red, and uninfected individuals are shown in gray. Time moves forward according to the black arrows, which are shown in gray when spillover is not possible, e.g., due to geographic barriers. Their results show the most informative comparison for adjudicating relative emergence risk, as indicated by the dark boxes, is spillover timescale: pathogens that recently began spilling over into humans (“recent” associations) are riskier than ones that have been spilling over for a long time (“old” associations). In contrast, little can be learned about emergence risk from comparing spillover rates (light boxes).

Processes that can potentially influence emergence risk. Simony and Kennedy investigate the role of spillover rate (λ in their model) and the timescale over which spillovers have happened (Tp in their model) on the probability that a disease circulating in a reservoir host (here, gorillas) emerges in humans. Red viruses and arrows indicate spillover events; infected individuals (gorillas and humans) are shown in red, and uninfected individuals are shown in gray. Time moves forward according to the black arrows, which are shown in gray when spillover is not possible, e.g., due to geographic barriers. Their results show the most informative comparison for adjudicating relative emergence risk, as indicated by the dark boxes, is spillover timescale: pathogens that recently began spilling over into humans (“recent” associations) are riskier than ones that have been spilling over for a long time (“old” associations). In contrast, little can be learned about emergence risk from comparing spillover rates (light boxes).

Can we predict which #pathogen will be responsible for the next #pandemic? Mete Yuksel & Nicole Mideo explore a new study in @plosbiology.org that challenges the idea that pathogens that frequently spill over are more likely to emerge 🧪 Paper: plos.io/4ss5WCY Primer: plos.io/4uOyh8f

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Bird flu risk to Danish cattle: New tool can warn farmers before infection spreads Sudden drop in milk production, thickened milk, and cows under movement restrictions. Since 2024, American farmers have had bitter experiences with the feared bird flu (H5N1), which in several cases…

New tool can warn #farmers before #bird #flu #infection spreads ...

| #cattle | #MicroSky | #AvianFlu | #BirdFlu | #AvianInfluenza | #pathogen | Via @sciencex.bsky.social

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Processes that can potentially influence emergence risk. Simony and Kennedy investigate the role of spillover rate (λ in their model) and the timescale over which spillovers have happened (Tp in their model) on the probability that a disease circulating in a reservoir host (here, gorillas) emerges in humans. Red viruses and arrows indicate spillover events; infected individuals (gorillas and humans) are shown in red, and uninfected individuals are shown in gray. Time moves forward according to the black arrows, which are shown in gray when spillover is not possible, e.g., due to geographic barriers. Their results show the most informative comparison for adjudicating relative emergence risk, as indicated by the dark boxes, is spillover timescale: pathogens that recently began spilling over into humans (“recent” associations) are riskier than ones that have been spilling over for a long time (“old” associations). In contrast, little can be learned about emergence risk from comparing spillover rates (light boxes).

Processes that can potentially influence emergence risk. Simony and Kennedy investigate the role of spillover rate (λ in their model) and the timescale over which spillovers have happened (Tp in their model) on the probability that a disease circulating in a reservoir host (here, gorillas) emerges in humans. Red viruses and arrows indicate spillover events; infected individuals (gorillas and humans) are shown in red, and uninfected individuals are shown in gray. Time moves forward according to the black arrows, which are shown in gray when spillover is not possible, e.g., due to geographic barriers. Their results show the most informative comparison for adjudicating relative emergence risk, as indicated by the dark boxes, is spillover timescale: pathogens that recently began spilling over into humans (“recent” associations) are riskier than ones that have been spilling over for a long time (“old” associations). In contrast, little can be learned about emergence risk from comparing spillover rates (light boxes).

Can we predict which #pathogen will be responsible for the next #pandemic? Mete Yuksel & Nicole Mideo explore a new study in @plosbiology.org that challenges the idea that pathogens that frequently spill over are more likely to emerge 🧪 Paper: plos.io/4ss5WCY Primer: plos.io/4uOyh8f

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H5N1 in marine mammals is spreading: Research tallies over 50,000 seals and sea lions killed along South America's coast When the H5N1 highly pathogenic avian influenza virus was discovered on a poultry farm in Asia in 1996, there was little indication that it would become so widespread and so destructive. Within 30…

#H5N1 in #marine #mammals is spreading ...

| #seals | #sealions | #HPAI | #avianinfluenza | #BirdFlu | #AvianFlu | #pathogen | #infections | By @ucdavis.bsky.social via @sciencex.bsky.social

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Processes that can potentially influence emergence risk. Simony and Kennedy investigate the role of spillover rate (λ in their model) and the timescale over which spillovers have happened (Tp in their model) on the probability that a disease circulating in a reservoir host (here, gorillas) emerges in humans. Red viruses and arrows indicate spillover events; infected individuals (gorillas and humans) are shown in red, and uninfected individuals are shown in gray. Time moves forward according to the black arrows, which are shown in gray when spillover is not possible, e.g., due to geographic barriers. Their results show the most informative comparison for adjudicating relative emergence risk, as indicated by the dark boxes, is spillover timescale: pathogens that recently began spilling over into humans (“recent” associations) are riskier than ones that have been spilling over for a long time (“old” associations). In contrast, little can be learned about emergence risk from comparing spillover rates (light boxes).

Processes that can potentially influence emergence risk. Simony and Kennedy investigate the role of spillover rate (λ in their model) and the timescale over which spillovers have happened (Tp in their model) on the probability that a disease circulating in a reservoir host (here, gorillas) emerges in humans. Red viruses and arrows indicate spillover events; infected individuals (gorillas and humans) are shown in red, and uninfected individuals are shown in gray. Time moves forward according to the black arrows, which are shown in gray when spillover is not possible, e.g., due to geographic barriers. Their results show the most informative comparison for adjudicating relative emergence risk, as indicated by the dark boxes, is spillover timescale: pathogens that recently began spilling over into humans (“recent” associations) are riskier than ones that have been spilling over for a long time (“old” associations). In contrast, little can be learned about emergence risk from comparing spillover rates (light boxes).

Can we predict which #pathogen will be responsible for the next #pandemic? Mete Yuksel & Nicole Mideo explore a new study in @plosbiology.org that challenges the idea that pathogens that frequently spill over are more likely to emerge 🧪 Paper: plos.io/4ss5WCY Primer: plos.io/4uOyh8f

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Conceptual framework for relating spillover rate and the past spillover window to host jump risk. In order to successfully host jump, a pathogen must overcome barriers to spillover and barriers to sustained transmission in the novel host. Pathogens may or may not be limited at either step in this process, leading conceptually to four classes of nonnative pathogens (A–D). In practice, and in the authors' model, spillover limitation and transmission limitation are continuous traits meaning that there is no discrete separation between the “types” of pathogens shown in A–D but thy discuss pathogens in this framework because it is useful for illustration.

Conceptual framework for relating spillover rate and the past spillover window to host jump risk. In order to successfully host jump, a pathogen must overcome barriers to spillover and barriers to sustained transmission in the novel host. Pathogens may or may not be limited at either step in this process, leading conceptually to four classes of nonnative pathogens (A–D). In practice, and in the authors' model, spillover limitation and transmission limitation are continuous traits meaning that there is no discrete separation between the “types” of pathogens shown in A–D but thy discuss pathogens in this framework because it is useful for illustration.

Pathogen host-jumps pose major risks to health, but how can we predict them? This study shows that #pathogen novelty, rather than #spillover rate, is a stronger predictor of host-jump risk, so we should monitor emerging pathogens with limited spillover histories @plosbiology.org 🧪 plos.io/4ss5WCY

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Trace levels of food pathogen do not always translate to health risk, says study Ultra-sensitive food safety tests may drive food waste and unavailability with limited public health benefit, according to a Frontiers in Science study. These food safety measures and ultra-sensitive…

Trace levels of #food #pathogen do not always translate to #health risk ...

| #bacteria | #MicroSky | #microbes | #publichealth | By @frontiersin.bsky.social via @sciencex.bsky.social

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Conceptual framework for relating spillover rate and the past spillover window to host jump risk. In order to successfully host jump, a pathogen must overcome barriers to spillover and barriers to sustained transmission in the novel host. Pathogens may or may not be limited at either step in this process, leading conceptually to four classes of nonnative pathogens (A–D). In practice, and in the authors' model, spillover limitation and transmission limitation are continuous traits meaning that there is no discrete separation between the “types” of pathogens shown in A–D but thy discuss pathogens in this framework because it is useful for illustration.

Conceptual framework for relating spillover rate and the past spillover window to host jump risk. In order to successfully host jump, a pathogen must overcome barriers to spillover and barriers to sustained transmission in the novel host. Pathogens may or may not be limited at either step in this process, leading conceptually to four classes of nonnative pathogens (A–D). In practice, and in the authors' model, spillover limitation and transmission limitation are continuous traits meaning that there is no discrete separation between the “types” of pathogens shown in A–D but thy discuss pathogens in this framework because it is useful for illustration.

Pathogen host-jumps pose major risks to health, but how can we predict them? This study shows that #pathogen novelty, rather than #spillover rate, is a stronger predictor of host-jump risk, so we should monitor emerging pathogens with limited spillover histories @plosbiology.org 🧪 plos.io/4ss5WCY

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Conceptual framework for relating spillover rate and the past spillover window to host jump risk. In order to successfully host jump, a pathogen must overcome barriers to spillover and barriers to sustained transmission in the novel host. Pathogens may or may not be limited at either step in this process, leading conceptually to four classes of nonnative pathogens (A–D). In practice, and in the authors' model, spillover limitation and transmission limitation are continuous traits meaning that there is no discrete separation between the “types” of pathogens shown in A–D but thy discuss pathogens in this framework because it is useful for illustration.

Conceptual framework for relating spillover rate and the past spillover window to host jump risk. In order to successfully host jump, a pathogen must overcome barriers to spillover and barriers to sustained transmission in the novel host. Pathogens may or may not be limited at either step in this process, leading conceptually to four classes of nonnative pathogens (A–D). In practice, and in the authors' model, spillover limitation and transmission limitation are continuous traits meaning that there is no discrete separation between the “types” of pathogens shown in A–D but thy discuss pathogens in this framework because it is useful for illustration.

Pathogen host-jumps pose major risks to health, but how can we predict them? This study shows that #pathogen novelty, rather than #spillover rate, is a stronger predictor of host-jump risk, so we should monitor emerging pathogens with limited spillover histories @plosbiology.org 🧪 plos.io/4ss5WCY

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No matter where they are performed, studies with infectious agents need ironclad biorisk management. This can be promoted through robust gatekeeping of funding and publication, using a new formal reporting standard for pathogen research.

No matter where they are performed, studies with infectious agents need ironclad biorisk management. This can be promoted through robust gatekeeping of funding and publication, using a new formal reporting standard for pathogen research.

What concrete steps can we take to reinforce #biorisk management? In this Perspective, an international group of experts advocate for better global standards for #pathogen research.
🧪 #MicroSky #DURC
plos.io/3NN7451

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No matter where they are performed, studies with infectious agents need ironclad biorisk management. This can be promoted through robust gatekeeping of funding and publication, using a new formal reporting standard for pathogen research.

No matter where they are performed, studies with infectious agents need ironclad biorisk management. This can be promoted through robust gatekeeping of funding and publication, using a new formal reporting standard for pathogen research.

What concrete steps can we take to reinforce #biorisk management? In this Perspective, an international group of experts advocate for better global standards for #pathogen research.
🧪 #MicroSky #DURC
plos.io/3NN7451

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First-of-its-kind vaccine protects children from deadly intestinal infections ETVAX is the first vaccine that offers significant protection against pathogenic E. coli in children

First-of-its-kind #vaccine protects #children from deadly #intestinal #infections ...

| #ETVAX | #Ecoli | #pathogen | #enterotoxigenic | #diarrhea | Via @sciam.bsky.social

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No matter where they are performed, studies with infectious agents need ironclad biorisk management. This can be promoted through robust gatekeeping of funding and publication, using a new formal reporting standard for pathogen research.

No matter where they are performed, studies with infectious agents need ironclad biorisk management. This can be promoted through robust gatekeeping of funding and publication, using a new formal reporting standard for pathogen research.

What concrete steps can we take to reinforce #biorisk management? In this Perspective, an international group of experts advocate for better global standards for #pathogen research.
🧪 #MicroSky #DURC
plos.io/3NN7451

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