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Channel

ارشد و‌دکتری بهداشت عمومی

@PublicHealthSocietyOfIran

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

7,114subscribers

+697 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001991635494
TypeChannel
Username@PublicHealthSocietyOfIran
Descriptionآدرس رسانه جامعه بهداشت عمومی ایران: @phs_iran فعالیت این کانال در جهت اطلاع رسانی و هماهنگ با" رسانه جامعه بهداشت عمومی ایران" می‌باشد.
CreatedBetween 1 October 2023 and 30 April 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live7 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/PublicHealthSocietyOfIran

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

6,4177,1146,765.58 August 2026 — 6,417 subscribers9 August 2026 — 6,429 subscribers12 August 2026 — 6,457 subscribers15 August 2026 — 6,492 subscribers18 August 2026 — 6,510 subscribers21 August 2026 — 6,530 subscribers25 August 2026 — 6,540 subscribers28 August 2026 — 6,567 subscribers31 August 2026 — 6,577 subscribers4 September 2026 — 6,583 subscribers9 September 2026 — 6,598 subscribers13 September 2026 — 6,606 subscribers16 September 2026 — 6,624 subscribers25 September 2026 — 6,703 subscribers5 October 2026 — 6,759 subscribers11 October 2026 — 6,780 subscribers14 October 2026 — 6,823 subscribers17 October 2026 — 6,880 subscribers20 October 2026 — 6,924 subscribers23 October 2026 — 6,953 subscribers26 October 2026 — 7,000 subscribers29 October 2026 — 7,037 subscribers1 November 2026 — 7,071 subscribers4 November 2026 — 7,098 subscribers7 November 2026 — 7,114 subscribers8 August 20267 November 2026
25 measurements spanning 91 days, net +697. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 6,312–7,219 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
7 Nov 2026, 10:597,114+16
4 Nov 2026, 15:417,098+27
1 Nov 2026, 06:407,071+34
29 Oct 2026, 16:597,037+37
26 Oct 2026, 14:367,000+47
23 Oct 2026, 13:506,953+29
20 Oct 2026, 17:176,924+44
17 Oct 2026, 18:396,880+57
14 Oct 2026, 21:556,823+43
11 Oct 2026, 15:206,780+21
5 Oct 2026, 02:026,759+56
25 Sept 2026, 19:186,703+79
16 Sept 2026, 23:366,624+18
13 Sept 2026, 05:176,606+8
9 Sept 2026, 07:596,598+15
4 Sept 2026, 09:196,583+6
31 Aug 2026, 11:136,577+10
28 Aug 2026, 06:426,567+27
25 Aug 2026, 03:566,540+10
21 Aug 2026, 11:546,530first reading

Engagement

61 posts held, back to 26 June 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 13 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
44.7%
avg views ÷ 7,114 subscribers
Avg views / post
3,180
23 posts measured
Reaction rate
0.169%
reactions ÷ views · ER floor
Posts in window
24
of 61 held

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. It is computed over the 20 of 23 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held61 (26 June 2026 – 5 November 2026)
Views total73,153
Reactions total101
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 14:18 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.

What this channel posts

Photos
321
Videos
130
Links
544

Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

273 reactions across 36 posts, in 8 distinct kinds. The most used accounts for 81.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤22381.7%
👍3011.0%
👎82.93%
🤷‍♀41.47%
🔥31.10%
❤‍🔥20.733%
👏20.733%
🥰10.366%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 39 of the 61 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 273 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 61 most recent posts we hold, published 26 June 2026 to 5 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 9 of 24 posts held from the last 30 days (37.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 18:53 UTC523 views5 reactionsread 7 November 2026
Photo

سلام به همهٔ همراهان بهداشتی👋 من مهدی ام و اینجا، زیرمجموعهٔ رسانهٔ بزرگ جامعه بهداشت عمومی ایرانه و از این به بعد قراره در بخش پژوهشی و نگارش مقالات علمی در بهداشت عمومی فعالیت کنیم🔍. هدفمون اینه که مسیر پژوهش و نگارش مقاله رو کنار هم به صورت ساده، روشن و کاربردی یاد بگیریم و در کنگره های ملی و بین‌المللی بدرخشیم💥. 🟡 اینجا قراره: ☑️ مسیر پژوهشی ☑️ روش‌های تحقیق ☑️ نقد شواهد ☑️ اولویت‌های پژوهشی در سلامت ☑️ مسیر …

👍5

Signed Mhdi

5 Nov 2026, 08:51 UTC≈2,240 views5 reactionsread 7 November 2026
Photo

#گزارش_کارگاه 📍کارگاه آموزشی «کاربرد هوش مصنوعی در علوم پزشکی» با هدف آشنایی دانشجویان با ظرفیت‌ها و کاربردهای ابزارهای هوش مصنوعی در حوزه تحصیل، پژوهش و فعالیت‌های علمی، در تاریخ ۱۳ آبان‌ماه به همت معاونت فرهنگی و دانشجویی و انجمن علمی بهداشت، با همکاری رسانه ملی بهداشت عمومی و مرکز مطالعات و توسعه آموزش پزشکی (EDC) دانشگاه علوم پزشکی بابل برگزار شد. 👤این کارگاه با تدریس خانم رزا آسمانی و آقای مهدی تمرتاش و با است…

❤5

Signed Mhdi

4 Nov 2026, 14:20 UTC≈2,180 views1 reactionsread 7 November 2026

https://skyroom.online/ch/onlineamoozan.ir/edc_bums

❤1

Signed Roza|🦋

4 Nov 2026, 14:20 UTC≈2,130 views1 reactionsread 7 November 2026

لینک شروع وبینار

❤1

Signed Roza|🦋

3 Nov 2026, 11:49 UTC≈2,080 views1 reactionsread 7 November 2026

لینک گروه چت: https://t.me/behdashtianiran

❤1

Signed Roza|🦋

2 Nov 2026, 17:12 UTC≈3,070 views4 reactionsread 7 November 2026

اپلیکیشن آکادمی بهداشت در بازار قرار داده شد. به راحتی میتوانید از بازار هم نصب کنید.

❤4

Signed Roza|🦋

31 Oct 2026, 04:22 UTC≈4,700 views4 reactionsread 7 November 2026
Photo

🧠 هوش مصنوعی؛ فرصتی برای یادگیری مهارت‌های نوین و بهره‌گیری هوشمندانه از فناوری در مسیر تحصیل و پژوهش معاونت فرهنگی و دانشجویی، انجمن علمی بهداشت با همکاری رسانه ملی بهداشت عمومی ایران برگزار می‌کند: 🔵کارگاه کاربرد هوش مصنوعی در علوم پزشکی 🔹️سرفصل‌های کارگاه: ▫️معرفی ابزارهای هوش مصنوعی پرکاربرد در پژوهش‌های علوم پزشکی ▫️آموزش جست‌وجو و بازیابی مقالات علمی با کمک هوش مصنوعی ▫️آشنایی با کاربرد هوش مصنوعی در نگارش و …

❤2🔥2

Signed Mhdi

30 Oct 2026, 09:04 UTCviews —

ارشد و‌دکتری بهداشت عمومی pinned «🌟نام بهداشت عمومی ها می‌درخشد🔥 🟢 جامعه بهداشت عمومی ایران با افتخار اعلام می‌دارد که در کنگره سالمندی دانشگاه علوم پزشکی تبریز، دو مقاله از پژوهشگران جوان حوزه بهداشت عمومی با درخششی چشمگیر پذیرفته شده‌اند. 1⃣ مقاله نخست با عنوان «نقش هوش مصنوعی در غربالگری…»

30 Oct 2026, 09:02 UTC≈4,660 views17 reactionsread 7 November 2026

🌟نام بهداشت عمومی ها می‌درخشد🔥 🟢 جامعه بهداشت عمومی ایران با افتخار اعلام می‌دارد که در کنگره سالمندی دانشگاه علوم پزشکی تبریز، دو مقاله از پژوهشگران جوان حوزه بهداشت عمومی با درخششی چشمگیر پذیرفته شده‌اند. 1⃣ مقاله نخست با عنوان «نقش هوش مصنوعی در غربالگری و پیش‌بینی خطر دیسفاژی و سوءتغذیه در سالمندان: یک مرور سیستماتیک» (کد iage2025-07642136، به قلم آقای مهدی تمرتاش (نویسنده اول)، خانم ژیلا بهروزی ، خانم مریم دان…

❤12❤‍🔥2👏2🔥1

Signed Mhdi

29 Oct 2026, 11:54 UTC≈2,050 views3 reactionsread 7 November 2026

📣 خبر خوب برای داوطلبان عزیز! 📚 دستورالعمل‌ها و تعداد زیادی از جزوات آزمون‌های استخدامی و کارشناسی ارشد، در اپلیکیشن آکادمی بهداشت بارگذاری شد. 📲 همین حالا وارد اپلیکیشن شوید و منابع موردنیازتان را دریافت کنید. 💚 آکادمی بهداشت، همراه شما در مسیر موفقیت!

👍3

Signed Roza|🦋

29 Oct 2026, 11:48 UTC≈3,900 views2 reactionsread 7 November 2026

🚨👇🏻روش‌های دسترسی به اپلیکیشن آکادمی بهداشت: 🌐 ۱. نسخه تحت وب | مناسب آیفون و سایر دستگاه‌ها 🔗 لینک ورود و استفاده: academibehdasht.ir 🤖 ۲. نسخه اندروید | نصب روی گوشی 🔗 لینک دانلود و نصب: https://t.me/PublicHealthSocietyOfIran/2423 💻 ۳. نسخه ویندوز | استفاده روی رایانه و لپ‌تاپ 🔗 لینک دانلود: https://t.me/PublicHealthSocietyOfIran/2425 💚 یک خواهش از شما: همین حالا نسخه مناسب دستگاهتان را باز کنید یا نصب کنید و ا…

❤2

Signed Roza|🦋

29 Oct 2026, 11:46 UTC≈3,480 views5 reactionsread 7 November 2026

دستورالعمل ها و خیلی از جزوات استخدامی در اپلیکیشن آکادمی بهداشت آپلود شد. 🟢 رسانه جامعه بهداشت عمومی ایران: 🟩@phs_iran 🟣کانال ارشد و دکتری بهداشت عمومی: 🟪@PublicHealthSocietyOfIran 

❤4🥰1

Signed Roza|🦋

Showing the 12 most recent of 61 posts we hold for @PublicHealthSocietyOfIran. 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.

Forward network

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.

Mentions

Named by 5 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.

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.

Cite this entry

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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“ارشد و‌دکتری بهداشت عمومی” (@PublicHealthSocietyOfIran), 7,114 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/PublicHealthSocietyOfIran.

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.