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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -22,6 +22,10 @@ The website is intended to provide a central place to provide information about:
The site is built using the [Hugo](https://gohugo.io/) static web site generator.
It uses the [Bootstrap](https://getbootstrap.com/) framework. In addition, it uses [Vega-Lite](https://vega.github.io/vega-lite/), [DataTables](https://datatables.net/), [OpenLayers](https://openlayers.org/), [plotly](https://plotly.com/), [ImJoy](https://imjoy.io/) for various features.

## Cite this portal

<a href="https://zenodo.org/doi/10.5281/zenodo.10629602"><img src="https://zenodo.org/badge/256458920.svg" alt="DOI"></a>

## Development and contributions

### Adding and editing information in different sections
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18 changes: 10 additions & 8 deletions content/english/citation.md
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Expand Up @@ -11,7 +11,7 @@ menu:
toc: true
---

In line with the principles of _FAIR_ and _Open Science_, we encourage the reuse of material made available on the Swedish Pathogens Portal. On this page, you will find information about how to cite the portal in the event that you reuse the content. Please note that the information on the portal is updated continuously, therefore it is important to refer to specific versions (or to provide access dates) within citations.
In line with the principles of _FAIR_ and _Open Science_, we encourage the reuse of material made available on the Swedish Pathogens Portal. On this page, you will find information about how to cite the portal when reusing/referencing the content. Please note that the information on the portal is updated continuously, therefore it is important to refer to specific versions (or to provide access dates) within citations.

## Research community

Expand All @@ -25,15 +25,15 @@ The Resource Identification Portal was created in support of the <a target="_bla

The RRID for the Swedish Pathogens Portal is **SCR_024866**.

By citing the portal using the RRID, you will facilitate further reuse of the portal, enable us to track reuse of the portal, and allow others to easily find the _Summary Report_ for usage the Swedish Pathogens Portal.
By citing the portal using the RRID, you will facilitate further reuse of the portal, enable us to track that activity, and allow others to easily find the _Summary Report_ for usage of the Swedish Pathogens Portal.

##### APA format

**In-text citation**: The data was made available on the Swedish Pathogens Portal (RRID:SCR\*024866)(_insert year_)
**In-text citation**: The data was made available on the Swedish Pathogens Portal (RRID: SCR_024866) (year)

**Reference list** SciLifeLab Data Centre (2024). Swedish Pathogens Portal, version (_insert version_) from <https://pathogens.se>, RRID:SCR_024866.
**Reference list** SciLifeLab Data Centre (2024). Swedish Pathogens Portal, version (version number) from <https://pathogens.se>, RRID:SCR_024866.

You will find the version of the Portal at the bottom of the footer on any page, or on our <a target="_blank" href="https://github.com/ScilifelabDataCentre/pathogens-portal">Github repository</a>.
You will find the version of the Portal at the bottom of the footer on any page, or on our <a target="_blank" href="https://github.com/ScilifelabDataCentre/pathogens-portal">Github repository</a> under 'releases'.

If you are aiming to cite particular pages of the portal in particular (e.g. the Data Highlights), you may find that an author is mentioned and a date is given. In this case, you should include the appropriate date and author instead, but must still include the RRID.

Expand All @@ -43,10 +43,12 @@ From the start, the portal has been operated by the <a target="_blank" href="htt

##### APA format

SciLifeLab Data Centre (year) pathogens-portal. Retrieved: (date) from <https://github.com/ScilifelabDataCentre/pathogens-portal>
SciLifeLab Data Centre (year) pathogens-portal. version: (version number), DOI: (insert version DOI shown on the badge in the README.md file of our <a target="_blank" href="https://github.com/ScilifelabDataCentre/pathogens-portal">pathogens-portal repository</a>). An example of the bedge is below:

SciLifeLab Data Centre (year) pathogens-portal-visualisations. Retrieved: (date) from <https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations>
[![DOI](https://zenodo.org/badge/256458920.svg)](https://zenodo.org/doi/10.5281/zenodo.10629602)

SciLifeLab Data Centre (year) pathogens-portal-visualisations. version: (version number), <https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations>

## Journalists

Journalists are welcome to reuse images, content, or other material from the **Swedish Pathogens Portal** for articles, blogs, social media etc., provided that the portal is acknowledged. Please refer to the portal as the **Swedish Pathogens Portal** and link to our webpage <https://pathogens.se> when you use content from the Portal. You may also include our RRID: **SCR_024866** (see above for information on RRIDs).
Journalists are welcome to reuse images, content, or other material from the **Swedish Pathogens Portal** for articles, blogs, social media etc., provided that the portal is acknowledged. Please refer to the portal as the **Swedish Pathogens Portal** and link to our webpage <https://pathogens.se> when you use content from the portal. You may also include our RRID: **SCR_024866** (see above for information on RRIDs).
14 changes: 11 additions & 3 deletions content/english/dashboards/variants_region_uppsala.md
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Expand Up @@ -27,16 +27,24 @@ The sequences are presented according to their [World Health Organisation (WHO)

### Recent sequences with Pango lineage

The below plot shows the percentage of sequences that belonged to a given lineage each week. The date is allocated as the Monday of that week. This plot shows data from the start of 2023 in the first instance, but includes multiple dynamic features that can be used to focus on certain subsets of the data.
In this subsection, there are two plots each showing the percentage of sequences that belonged to a given lineage in each week. Each plot represents a different level of granularity in the classification of lineages. The first shows the most granular level, and data is available from October 2023. The second has a slightly lower level of granularity and shows data from January 2023.

Use the **‘Last 16 weeks’ button** to see data only from the last 16 weeks, and the **‘Data since Jan 2023’ button** to again show all of the data from the start of 2023. Use the **’Deselect all linages’ button** to clear data from all lineages from the graph. It is possible to then view only certain lineages by clicking on them in the legend. You can use the **’Select all lineages’ button** to show data from all lineages. The graph also has many other interactive features. For example, it is possible to click and drag to focus on a certain part of the graph. When you hover over the graph, options will appear in the top right to e.g. zoom, download as a .png file, or reset the axes to the original view.
In both graphs, the date is allocated as the Monday of that week. The plots include multiple dynamic features that can be used to focus on certain subsets of the data.

Use the buttons on the top left of each plot to focus either on data from the **Last 16 weeks** or the whole time period (either **Since October or January 2023**). Use the **’Deselect all linages’ button** on the right hand sides to clear data from all lineages from the graphs. It is possible to then view only certain lineages by clicking on them in the legend. You can then use the **’Select all lineages’ button** to return to the view showing data from all lineages. The graphs also have many other interactive features. For example, it is possible to click and drag to focus on a certain part of the data. When you hover over the graph, further options will appear in the top right to e.g. zoom, download as a .png file, or reset the axes to the original view.

<div class="d-md-none alert alert-info">
Rotating your phone may improve graph layout
</div>

<div class="plot_wrapper mb-3">
<div class="table-responsive">{{< plotly json="https://blobserver.dc.scilifelab.se/blob/lineage_four_recent.json" height="850px" >}}</div>
<div class="table-responsive">{{< plotly json="https://blobserver.dc.scilifelab.se/blob/lineage_five_recent.json" height="800px" >}}</div>
</div>

**Code used to produce plots:** [Graph and data preparation script](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/ClinMicro/lineage_five_recent.py).

<div class="plot_wrapper mb-3">
<div class="table-responsive">{{< plotly json="https://blobserver.dc.scilifelab.se/blob/lineage_four_recent.json" height="600px" >}}</div>
</div>

**Code used to produce plots:** [Graph and data preparation script](https://github.com/ScilifelabDataCentre/pathogens-portal-visualisations/blob/main/ClinMicro/lineage_four_recent.py).
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27 changes: 27 additions & 0 deletions content/english/editorials/friendly_deadly_pathogens.md
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---
title: "“Feed a gut, and starve a fever” or friendly vs disease-causing pathogens"
date: 2024-02-15
summary: A perspective on what makes a pathogen through the lens of the microbes in our bodies and how we, as hosts, interact with them.
banner: /editorials/friendly_pathogens.jpg
banner_caption: 'Image generated with Adobe Firefly using the prompt "Friendly microorganisms that help us to digest food".'
tags: [Pathogens, Microbes, Lactobacillus, Gut, Infectious disease]
editorials_topics: [Infectious diseases]
editorials_authors: [Luisa W. Hugerth]
images: [/editorials/friendly_pathogens.jpg]
---

The Swedish Pathogens Portal focuses on bacteria and viruses that pose a threat to human health and well-being. However, the definition of a “pathogen” is not easy. The word “pathogen” is usually reserved for microorganisms capable of causing disease when most people are exposed to them for the first time without preventive measures. These kinds of pathogens are, however, a vanishingly small fraction of the total amount of microbes in our world. In addition, infections are the result of the interplay between a microbe and a host. Whilst most people do not get seriously sick from most interactions that they have with microbes, for a sufficiently weakened host, such as a premature baby, even yoghurt could pose a serious threat.

The vast majority of microbes simply won’t survive on our bodies – it is either too dark, too dry, too exposed, too moist, even too nourishing. Each living organism – including microorganisms – thrives in a specific niche, which includes their preferred range of light, oxygen, pH, sugars, and other small molecules. Still, a couple of thousand species do enjoy a temperature around 37°C, a wide availability of carbon compounds, and varying amounts of oxygen – there is a lot on our skin and lungs, and very little to none in our bowels. Our ancestors have been living and co-evolving with these species since before the first humans evolved. Some of the most important interactions between our bodies and our microbes can also be found in some form in many other mammalian specials. This means that scientists are able to observe patterns in humans, test them in animals, and then refine our hypotheses for the next round of human studies.

While all body surfaces (both internal and external) are covered with microbes, mostly bacteria, the density of microbial cells at different body sites varies; from a couple of cells per ml in the stomach to billions in the lower bowel. This is mostly mirrored by the microbial diversity in these body sites as well. Our stomachs typically have either one species, _Helicobacter pylori_, famous for its role in driving the development of gastric ulcers, or a few _Lactobacillus_ species that are able to survive in this very acidic environment, but don’t really thrive. Meanwhile, the large bowel will typically harbour somewhere between several hundred to a thousand different species, with a higher species diversity being typically connected to good health. Eating a variety of vegetables, whole grains, and nuts gives our gut bacteria a wide menu of different fibres to digest, creating many small niches for different health-promoting species. Conversely, a low-fibre diet, lack of exposure to nature and the outdoors, and continuous or repeated use of medication may drive away certain species, leaving in its wake an impoverished and more fragile ecosystem, susceptible to additional threats in the form of antibiotics or invasive bacteria.

One body site that is an exception to the “more microbes – more diversity” rule is the vagina of pre-menopausal women where, despite the women having a dense microbial community, a lower diversity is associated to good health. This is also a prime example of a mutually beneficial symbiosis, where the mucosal cells are filled with nourishing glycogen that sustains _Lactobacillus_ species, and they in turn secrete lactic acid and other substances that lower the pH and protect against infections.

For all practical purposes, an infant’s microbial colonisation begins at birth. A number of processes during pregnancy prepare the newborn to their new life outside the womb. This preparation continues during breastfeeding, as human milk contains an astounding variety of different sugar molecules that cannot be digested by humans – but are very well digested by the _Lactobacillus_ and _Bifidobacterium_ species that colonise the infant gut. Even live bacteria are included in breast milk, transported to the milk ducts by special cells called dendritic cells, which are experts at transporting microbes across the body. Normally, they do this to warn our immune systems of any danger, but they can also take live bacteria to where they need to be. In the infant gut, bacteria will help them to digest food, occupy niches otherwise left open to pathogens, interact with the developing immune system to help it to learn what is dangerous and what is harmless, and secrete countless small molecules that will interact with the developing brain and other organs. Bacteria in the gut is most crucial in the first one to two years of life, but even as adults we have a thriving bacterial community that can help us to thrive as individuals as well.

Whilst the disease-causing pathogens, often classified as part of bacteria, fungi, protozoa, worms, viruses, and even infectious proteins called prions, are a vanishingly small fraction of the total amount of microbes in our world, they still pose a health threat to millions of people on a daily basis. Pathogens can be our best friends, or worst enemy. An old saying is “Feed a cold, starve a fever", but feeding our friendly microbes just might prevent that cold entirely! The complexity of pathogens, while extensively studied, still warrants much more reseach.

#### Cite this editorial

Hugerth, L. W. (2024). Editorial: “Feed a gut, and starve a fever” or friendly vs disease-causing pathogens. SciLifeLab. Online resource. DOI: [10.17044/scilifelab.25217921](https://doi.org/10.17044/scilifelab.25217921).
13 changes: 11 additions & 2 deletions content/english/editorials/influenza.md
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Expand Up @@ -3,11 +3,20 @@ title: "Influenza A(H5) virus: A potential pandemic threat"
date: 2023-10-31
summary: A perspective on the potential for influenza viruses to be the next pandemic threat and how to be better prepared for the next pandemic.
banner: /editorials/topic_influenza.jpg
#banner_large: /topic_thumbs/topic_influenza.jpg
banner_caption: A colourised transmission electron microscopic (TEM) image of Avian Influenza A H5N1 viruses (gold) (Credit- CDC).
tags: [Influenza, Pandemic, pandemic preparedness, avian influenza, zoonoses]
tags:
[
Influenza,
Pandemic,
pandemic preparedness,
avian influenza,
zoonoses,
Pathogens,
Infectious disease,
]
editorials_topics: [Influenza]
editorials_authors: [Mahmoud M. Naguib]
images: [/editorials/topic_influenza.jpg]
---

Wild aquatic birds are the natural reservoir for influenza A virus of subtypes H1–H16 and N1–N9 ([Krammer _et al._, 2018](https://www.nature.com/articles/s41572-018-0002-y)), named avian influenza virus. Virus transmission from wildlife reservoirs to domestic animals is a critical step in a chain of events that leads to exposure and infection of humans. This has been exemplified by the recent COVID-19 pandemic, in addition to the influenza A viruses (IAVs) that have caused four pandemics during the last 100 years ([de Wit _et al._, 2016](https://pubmed.ncbi.nlm.nih.gov/27344959/); [Guarner, 2020](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7109697/); [Hilgenfeld and Peiris, 2013](https://pubmed.ncbi.nlm.nih.gov/24012996/)). In nature, maintained IAV lineages are adapted to particular host species, thus successful interspecies transmission may be very challenging for the virus ([Subbarao, 2019](https://pubmed.ncbi.nlm.nih.gov/31027299/)). The first attention to influenza A(H5) was in the 1990s when the first highly pathogenic avian influenza (HPAI) virus of subtype H5 was recorded in birds and then found in humans in Guangdong province in China. Since then, the H5 virus continued to evolve into 10 clades (0–9) and several subclades based on phylogenetic inference of the hemagglutinin (HA) gene segment ([Sonnberg _et al._, 2013](https://pubmed.ncbi.nlm.nih.gov/23735535/)). During 2020 through 2023, several countries around the globe have suffered from the worst epizootic of HPAI virus ever, causing severe economic losses to the poultry industry, thousands of outbreaks among wild and domestic birds ([European Centre for Disease Prevention and Control (ECDC), 2023](https://www.ecdc.europa.eu/en/publications-data/avian-influenza-overview-june-september-2023#:~:text=Between%2024%20June%20and%201%20September%202023%2C%20highly%20pathogenic%20avian,few%20HPAI%20virus%20detections%20inland.)), as well as human cases caused by subtypes of H5N8, H5N6, and H5N1 ([European Centre for Disease Prevention and Control (ECDC), 2021](https://www.ecdc.europa.eu/en/publications-data/threat-assessment-first-human-cases-avian-influenza-h5n8); [World Health Organisation (WHO), 2022](https://iris.who.int/bitstream/handle/10665/351652/AI-20220204.pdf?sequence=14&isAllowed=y)). In addition, the recent HPAI virus of subtype H5 has been reported in a high number of mammalian species and has shown markers for mammalian adaptation ([Adlhoch _et al._, 2023](https://www.ecdc.europa.eu/sites/default/files/documents/avian-influenza-overview-march-2023.pdf)). Although the total number of H5Nx infections in humans still remains low, as compared to seasonal outbreaks of truly human-adapted influenza viruses, the threat to Public Health remains high due to the extreme case fatality rate of HPAI in humans of up to 60% ([World Health Organisation (WHO), 2021](<https://www.who.int/publications/m/item/cumulative-number-of-confirmed-human-cases-for-avian-influenza-a(h5n1)-reported-to-who-2003-2021-15-april-2021>)).
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