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arinbasu Arindam Basu @lemmy.ml

I am an Epidemiologist and Professor of Environmental Health at the University of Canterbury.

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বাংলায় আলাপ আলোচনা আড্ডা @lemmy.ml Arindam Basu @lemmy.ml

বাংলায় আলাপচারিতার ফেডিভারস গ্রুপ

আমরা বাংলায় আলাপ আলোচনা চালানোর জন্য এই গ্রুপটিকে ব্যবহার করতে পারি। এই একাউন্টটিকে ফলো করুন, এবং বাংলায় লিখলে এই একাউন্টটিকে @ মেনশন করলেই হবে। যাারা এই একাউন্ট @[email protected] কে ফলো করবেন, তারা সবাই এই একাউন্ট থেকে পাঠানো পোস্ট পড়তে পারবেন।

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বাংলায় আলাপ আলোচনা আড্ডা @lemmy.ml Arindam Basu @lemmy.ml

First post

প্রথম পাঠ | বাংলায় বিশেষ গ্রুপ নেই | একটা গাপপি গ্রুপ আছে বটে, তবে এই ধরণের গ্রুপ যেখানে খোলা মনে যা কিছু লেখা যায়, শেয়ার করা যায়, এই ধরণের একটা গ্রুপের প্রয়োজন রয়েছে।

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml
www.medrxiv.org Systematic review of the prevalence of Long Covid

Background Long Covid occurs in those infected with SARSCoV2 whose symptoms persist or develop beyond the acute phase. We conducted a systematic review to determine the prevalence of persistent symptoms, functional disability or pathological changes in adults or children at least 12 weeks post-infec...

Systematic review of the prevalence of Long Covid

In total 120 studies in 130 publications were included. Length of follow-up varied from 12 weeks to over 12 months. Few studies had low risk of bias. All complete and subgroup analyses except one had I2 ≥ 90%, with prevalence of persistent symptoms ranging between 0% and 93%. Studies using routine healthcare records tended to report lower prevalence of persistent symptoms/pathology than self-report. However, studies systematically investigating pathology in all participants at follow up tended to report the highest estimates of all three. Studies of hospitalised cases had generally higher estimates than community-based studies. Interpretation: The way in which Long Covid is defined and measured affects prevalence estimation. Given the widespread nature of SARSCoV2 infection globally, the burden of chronic illness is likely to be substantial even using the most conservative estimates.

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml
github.com GitHub - cogent3/cogent3: Comparative Genomics Toolkit 3

Comparative Genomics Toolkit 3. Contribute to cogent3/cogent3 development by creating an account on GitHub.

GitHub - cogent3/cogent3: Comparative Genomics Toolkit 3

Comparative genomics toolkit

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml
www.medrxiv.org Covid-19 is a leading cause of death in children and young people ages 0-19 years in the United States

Covid-19 has caused more than 1 million deaths in the US, including at least 1,204 deaths among children and young people (CYP) aged 0-19 years, with 796 occurring in the one year period April 1, 2021 - March 31, 2022. Deaths among US CYP are rare in general, and so we argue here that the mortality ...

Covid-19 is a leading cause of death in children and young people ages 0-19 years in the United States

Covid-19 has caused more than 1 million deaths in the US, including at least 1,204 deaths among children and young people (CYP) aged 0-19 years. Deaths among US CYP are rare in general, and so we argue here that the mortality burden of Covid-19 in CYP is best understood in the context of all other causes of CYP death. Using publicly available data from CDC WONDER on NCHS’s 113 Selected Causes of Death, and comparing to mortality in 2019, the immediate pre-pandemic period. Our findings underscore the public health relevance of Covid-19 to CYP. In the likely future context of sustained SARS-CoV-2 circulation, pharmaceutical and non-pharmaceutical interventions will continue to play an important role in limiting transmission of the virus in CYP and mitigating severe disease. #Academic #discussion

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml

Suspense and Surprise on JSTOR

www.jstor.org JSTOR: Access Check

JSTOR is a digital library of academic journals, books, and primary sources.

An article on reading scholarly articles.

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml

Introducing the p-hacker app: Train your expert p-hacking skills

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A list of various lists consisting of academics on Mastodon

github.com GitHub - nathanlesage/academics-on-mastodon: A list of various lists consisting of academics on Mastodon

A list of various lists consisting of academics on Mastodon - GitHub - nathanlesage/academics-on-mastodon: A list of various lists consisting of academics on Mastodon

GitHub - nathanlesage/academics-on-mastodon: A list of various lists consisting of academics on Mastodon

This github repo contains lists of servers and users.

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml
peerj.com Are Toxoplasma-infected subjects more attractive, symmetrical, or healthier than non-infected ones? Evidence from subjective and objective measurements

Background Parasites are among the main factors that negatively impact the health and reproductive success of organisms. However, if parasites diminish a host’s health and attractiveness to such an extent that finding a mate becomes almost impossible, the parasite would decrease its odds of reproduc...

An interesting paper where the researchers conducted a cross sectional survey of people aged 18 years and above in Mexico. They divided people into two groups, one group who had toxoplasma infection in the past, and the other who did not, and for each group they measured their "attractiveness" (using other people) and also some parameters of "health" and "well being" and having good looks (such as "width of the face divided by height of the face", so the lower the value, the more attractive they are and so on), and for women measured their BMI. They found that those who had toxoplasma infection had "better looks" and scored high on "attractiveness" measures. If you read the paper, (free to read the full text), can you identify how many errors there are? What are they? Common sense, you do not need to be expert on anything on beauty or biology but if you are, even better. :-)

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml
healtheconomicsreview.biomedcentral.com How much do government and households spend on an episode of hospitalisation in India? A comparison for public and private hospitals in Chhattisgarh state - Health Economics Review

Background Improvements in the financing of healthcare services are important for developing countries like India to make progress towards universal health coverage. Inpatient-care contributes to a big share of total health expenditure in India. India has a mixed health-system with a sizeable presen...

How much do government and households spend on an episode of hospitalisation in India? A comparison for public and private hospitals in Chhattisgarh state - Health Economics Review

An interesting secondary analysis of different data sets. The paper compared how much households and government spends on healthcare in private and publicly funded health services in a state in India. The findings suggest that on an average, the spendings on private healthcare is three times that of public funded healthcare. The paper concluded that, "Using public resources for purchasing inpatient care services from private providers may not be a suitable strategy for such contexts."

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml

SARS-CoV-2 Omicron Variant is as Deadly as Previous Waves

www.researchsquare.com SARS-CoV-2 Omicron Variant is as Deadly as Previous Waves After Adjusting for Vaccinations, Demographics, and Comorbidities

The B.1.1.529 (Omicron) variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has previously been reported as more transmissible, but less severe than other SARS-CoV-2 variants. To test this assumption, we linked state-level vaccination data with quality-controlled electronic he...

Researchers studies 130, 000 records of individuals who were hospitalised or who died in the US. Then they studied the association between omicron strain and the deaths/hospitalisations after adjusting for the effects of vaccination but not treatment. The evidence is intuitive: omicron is as deadly as previous waves. What seems to happen is vaccines blunt the impact. This is a preprint

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml

Turtles all the way down. Decentralized networks for decentralized society.

cross-posted from: https://lemmy.ml/post/63108

> We are all in love with decentralized social topology, aren't we. But to make society reasonably decentralized, we need to remodel more than one level of it. I would like to bounce around some thoughts that may help establish a multilayer model of decentralized society. > > ::: Longwinded > 1. Assumptions. > > 1.1. I use communications as an example of social activity that is a key to all other processes. > > 1.2. I assume that a decentralized network of heterogeneous communities is a good model for human society that we need now, as the all-crisis unfolds and neither democracy nor (even less) capitalism can offer any constructive approach. > > 1.3. I assume that the minimal provisions for an individual must include the right to participate in more than one community at the same time, the right to opt-out peacefully at any moment and the right to form a community (and participate in the network) on an equal basis. > > 2. Layers > > 2.1. "Fediverse". > What we now see as fediverse is an implementation of communications pattern, where instances of various services can be associated with specific communities and their local users considered community members. Federation protocol provides a routine way to regulate interactions with other communities. > > 2.2. "Community Intranet". > To control their collective memory, their policies/rituals and their boundaries, communities need to have control over the physical infrastructure of their "village intranet". It applies mostly to "natural" (local) communities, while "virtual" ones may need a trusted and neutral virtual hosting environment. The control should not, however, influence individual participation in remote communities. > > 2.3. "NetCommons". > To keep the information flowing, society needs a non-owned, collectively managed transmission backbone. We can draw analogies with watershed management that is a known example of advantages and shortages of the commons approach. > > 2.4. "Platform Cooperatives". > Economic (and, effectively, political) control of the means of production is a key to stability of the ecosystem. Thus, decentralized ecosystem of user cooperatives provides cohesion to the whole multilayered model. Every user becomes a member of the co-op(s) operating their community(ies) infrastructure. Community co-ops then form the "NetCoooperative", managing and maintaining the backbone systems and providing support, R&D and exception handling to communities in need. > > 3. Essential question is, whether such a model is comprehensive and complete enough to provide scaffolding for an attempt to implement proof-of-concept project. > > Questions and comments welcome. > > ::: >

This is a repost.

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml
plos.org How to Write a Peer Review - PLOS

When you write a peer review for a manuscript, what should you include in your comments? What should you leave out? And how should the review be formatted?

How to Write a Peer Review - PLOS

A tutorial on writing a peer review

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Earth @lemmy.ml Arindam Basu @lemmy.ml

Earth Overshoot Day marks the date when humanity’s demand for ecological resources and services in a given year exceeds what Earth can regenerate in that year. In 2021, it fell on July 29.

www.overshootday.org Earth Overshoot Day home - #MoveTheDate

Overshoot occurs when humanity's demand on nature exceeds Earth's biocapacity. In 2023, Earth Overshoot Day falls on August 2nd.

Earth Overshoot Day home - #MoveTheDate

A marker of sustainability.

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml

A nice summary of Decentralized Social Networks

A great summary on decentralised social networks, including scuttlebutt protocol and Aether. Worth a read.

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml
papers.ssrn.com Building a Better Twitter: A Study of the Twitter Alternatives GNU Social, Quitter, rstat.us, and Twister

Drawing on interviews with developers and close readings of site interfaces and architectures, this essay explores four Twitter alternatives: GNU social, Twiste

A good critique of Twitter and future direction of social networking apps.

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml
stackoverflow.blog You should be reading academic computer science papers

You read documentation and tutorials to become a better programmer, but if you really want to be cutting-edge, academic research is where it's at.

You should be reading academic computer science papers

An essay on why you should read computer science essays to understand the history of concepts, and figure out how to solve a tricky problem from the first principles. This essay also highlights the paperswelove project.

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml

Lemmy

Getting my head around

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml

Social media as people's digital commons

digitalcommons.uri.edu "Social Media as People's Digital Commons" by Michael Kwet

In the past few years, big Social Media networks like Facebook, Twitter, and YouTube have received intense scrutiny from the intellectual classes. This article critiques the dominant strain of criticism, the neo-Brandeisian School of antitrust, for its narrow focus on “regulated competition” as an a...

Interesting article

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Papers and blogs for discussion @lemmy.ml Arindam Basu @lemmy.ml

Curvenote is a great tool for research writing

www.curvenote.com Curvenote | Writing platform for science

A beautiful writing tool designed for technical writing, connected to Jupyter. Write, share and communicate interactive scientific content in a collaborative environment.

Curvenote | Writing platform for science

I find curvenote as a great tool for research writing. It combines Jupyter notebook with a markdown rich text editor based content authoring. Bibtex (reference management), figures, tables everything flows easily.

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