Channel
@Epidemiology_Station
On this record: Growth · Engagement · Posts · Citations · Cite this entry
267subscribers
+28 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003797866599 |
|---|---|
| Type | Channel |
| Username | @Epidemiology_Station |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/Epidemiology_Station |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 14:36 | 267 | +28 |
| 7 Aug 2026, 02:33 | 239 | no change |
| 6 Aug 2026, 03:35 | 239 | first reading |
20 posts held, back to 8 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (8 July 2026 – 6 August 2026) |
| Views total | 1,215 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 02:33 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
«ایستگاه اپیدمیولوژی » ✅️ هر آنچه که مربوط به علم اپیدمیولوژی ،آمار زیستی و پژوهش است را اینجا خواهیم گفت آموزش|مشاوره|منتورینگ|ویراستاری پژوهشی 🔘 ارتباط با ما: 🆔️ @Epidstation ⬅️ کانال بله ایستگاه اپیدمیولوژی: 🆔 https://ble.ir/Epidemiology_Station 🆔 @Epidemiology_Station
❌️ فرصت ثبت نام کارگاه "صفر تا صد پروپوزال نویسی در علوم پزشکی" + کار عملی تا ساعت ۲۴ فردا شب جمعه ۱۶ مرداد ماه ۱۴۰۵ می باشد. ‼️ برای ثبت نام در بله یا تلگرام به آیدی زیر پیام دهید: ➡️ @Sabtenam_Admin100
✅️ فرصت ثبت نام کارگاه "صفر تا صد پروپورزال نویسی در علوم پزشکی" + کار عملی تا روز جمعه ۱۶ مرداد ماه ۱۴۰۵ می باشد. ⬅️ برای *ثبت نام* در بله یا تلگرام به آیدی زیر پیام دهید: 🆔️ @Sabtenam_Admin100 🔹 ایستگاه اپیدمیولوژی 🔹 ⬅️ کانال بله ایستگاه اپیدمیولوژی آموزش | مشاوره | منتورینگ | ویراستاری پژوهشی 🆔 @Epidemiology_Station
‼️‼️‼️ ادامه پست قبلی 📊 کاربردهای SEM در اپیدمیولوژی: ✅ بررسی مکانیسمهای پیچیده بیماری (چندین مسیر علّی). ✅ تحلیل دادههای پرسشنامهای با سازههای چندبعدی (مثل کیفیت زندگی، استرس، حمایت اجتماعی). ✅ ارزیابی مدلهای علّی در مطالعات کوهورت و مقطعی. ✅ تحلیل اثرات مستقیم و غیرمستقیم در مطالعات مداخلهای. ⚠️ چالشهای استفاده از SEM: ❌ نیاز به حجم نمونه نسبتاً بزرگ (معمولاً حداقل ۲۰۰-۱۰۰ نفر). ❌ نیاز به دانش قبلی از ر…
📊 تحلیل مسیر و مدلسازی معادلات ساختاری؛ از رگرسیون ساده تا روابط پیچیده 🔸️فرض کن در یک مطالعه اپیدمیولوژیک میخواهی بررسی کنی که چگونه عوامل مختلف بر یک بیماری تأثیر میگذارند. ▫️میدانی که چاقی (BMI) با دیابت ارتباط دارد، اما این ارتباط ممکن است از طریق عواملی مثل مقاومت به انسولین و التهاب نیز تحت تأثیر قرار گیرد. ▫️حالا سوال این است: آیا BMI مستقیماً روی دیابت اثر میگذارد، یا این اثر از طریق واسطهها (مثلاً اف…
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⬅️ آکادمی داناوین،گروه پژوهشگران علوم پزشکی،ایستگاه اپیدمیولوژی ،کمیته تحقیقات دانشجویی دانشگاه علوم پزشکی همدان، انجمن علمی دانشجویی بهداشت عمومی(HOPE) دانشگاه علوم پزشکی تهران برگزار می کند: 🔴 کارگاه "صفر تا صد پروپورزال نویسی در علوم پزشکی" + کار عملی ✅️ در واقع در انتهای دوره یک پروپوزال آماده خواهید داشت 👨🏫 مدرس: آقای محمد شاه منصوری دانشجوی کارشناسی ارشد اپیدمیولوژی دانشگاه علوم پزشکی جندی شاپور اهواز مدر…
‼️‼️‼️ کامل ترین دوره نگارش پروپوزال ⚠️ ۵ جلسه آموزشی + کار عملی + تکلیف 💻 آنلاین و در بستر اسکای روم 💽 همراه با ضبط جلسات و دسترسی همیشگی 📜 ارائه گواهی معتبر
🔔🔔🔔 همراهان عزیز "ایستگاه اپیدمیولوژی" ‼️ کانال بله ما رو هم داشته باشین تا اگر باز مشکلی برای نت پیش اومد ارتباط مون قطع نشه🙏
«ایستگاه اپیدمیولوژی/پژوهش/مقاله» ⬅️ هر آنچه که مربوط به علم اپیدمیولوژی ، آمار زیستی و پژوهش است را اینجا خواهیم گفت آموزش | مشاوره | منتورینگ | ویراستاری پژوهشی ▪️کانال تلگرامی: 🆔️ https://t.me/Epidemiology_Station ▫️کانال بله: 🆔️ https://ble.ir/Epidemiology_Station
📊 Attributable Risk؛ چه نسبتی از بیماری قابل پیشگیری است؟ 🔸️فرض کن میدانی سیگار باعث سرطان ریه میشود. اما سوال مهمتر این است: اگر همه سیگار را ترک کنند، چند درصد از موارد سرطان ریه حذف میشود؟ ▫️پاسخ این سوال را Attributable Risk (AR) یا خطر قابل انتساب میدهد. 🔷️ Attributable Risk یعنی چه؟ Attributable Risk (AR) = تفاوت خطر بین گروه مواجههدیده و گروه مواجههندیده. به عبارت دیگر: «چقدر از بیماری در گروه مواجه…
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Showing the 12 most recent of 20 posts we hold for @Epidemiology_Station. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank — 443,038 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 10 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 14 August 2026 — this entry's latest reading, not the date you are reading this.
“ایستگاه اپیدمیولوژی/پژوهش/مقاله” (@Epidemiology_Station), 267 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Epidemiology_Station.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.