BAG – OFSP – UFSP

BAG – OFSP – UFSP

@BAG_OFSP_UFSP

Bundesamt für #Gesundheit BAG – Office fédéral de la #santépublique OFSP – Ufficio federale della #sanitàpubblica UFSP

Bern https://www.bag.admin.ch/de Joined 2011-06-30 Date of Analysis: Dec 16, 2025

183,384

Followers

281

Following

8,147

Tweets

22.8

Avg Engagement

606

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @BAG_OFSP_UFSP's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2011-06-30
  • Verification:Yes
  • Location:Bern

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:16.1
  • Avg Retweets per Tweet:6.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The average likes and retweets suggest moderate engagement, with a focus on informative and data-driven posts. The verified status is low, indicating limited official verification.

16.1

Avg Likes/Tweet

6.7

Avg Retweets/Tweet

52,401

Total Likes

21,842

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

7

Median Likes

4

Median Retweets

26

75th Percentile

1,032

Top Tweet

0.12

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

77.4%

Original

8.7%

Replies

13.3%

Retweets

0.6%

Quotes

0.0%

Threads

0.0%

With Media

80.9%

With Links

63.4%

With #Tags

21.4%

With @Mentions

14.4%

With Emojis

213

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.11

Reply/Original Ratio

0.05

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

98.2%

Weekday Posts

1.8%

Weekend Posts

Top Hashtags

#coronainfoch (1668) #coronavirus (323) #covid19 (306) #décisioncf (60) #brentscheid (60) #decisionecf (53) #pss2023 (47) #covidcertificatech (29) #coronadatach (27) #radprotection4workers (17)

Most Mentioned

@br_sprecher (221) @swissscience_tf (60) @alain_berset (50) @bit_ofit (48) @ehealthsuisse (26) @swissmedic_ (21) @bag_ofsp_ufsp (20) @iaeaorg (16) @swiss_un (14) @hopitaux_unige (13)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,514 (77%)
Replies 283 (9%)
Retweets 432 (13%)
Quote Tweets 21 (1%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

The 432 retweets (13% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,250 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 50,000 followers

The audience is likely Swiss citizens and international users interested in public health. The content is tailored for general audiences seeking reliable health information.

Below Average

Audience Quality

44.7%

Suspicion Index

72.7%

Low-Quality %

0

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

72.3%

Empty Bio

81.7%

<10 Tweets

1.4%

Mass Following (>2K)

0.0%

New (<90 days)

79.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

95.6%

No URL

73.1%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

3,378,351

Total Potential Reach

0

Median Follower Reach

3

75th Percentile Reach

0.8%

>1K followers

0.1%

>10K followers

0.0%

>50K followers

0.0%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

8.8%

Creators

4,386 accounts

9.6%

Consumers

4,782 accounts

81.7%

Dormant

40,832 accounts

77

Verified Followers

0.15% of total

1.8%

Professional Bios

founder, dev, analyst, etc.

0.0

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

Switzerland (934) Zurich, Switzerland (585) Schweiz (357) Geneva, Switzerland (197) Suisse (193) Zürich, Schweiz (170) Berne, Switzerland (151) Zürich (114) Basel, Switzerland (104) Lausanne, Switzerland (94)

154

Verified Followers

0.15% of total

6,955

Protected Accounts

6.89% of total

3 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@mthai 1,860,774 - -
@iaeaorg 229,971 Nuclear Energy ClimateChange, NuclearEnergy, Atoms4Climate
@Tsoukalos 216,251 Publisher Aliens, Ancient Astronauts, SETI
@tagesanzeiger 206,891 Journalists News, Journalism, Switzerland
@RTSinfo 190,820 News outlet News, breaking news, RT
@AnnaGaSabate 174,140 Activist Politics, Activism, Resistance
@UNjobs 157,882 Job board International, Civil Service, Development
@BernardMarr 137,807 Futurist Business, Tech, Data
@LindaSweetCZ 125,029 - -
@TechAcuteCom 100,736 Tech News Tech, News, Discord

Top Keywords in Follower Bios

fur (673) love (576) switzerland (543) life (529) student (452) phd (443) leben (411) swiss (408) zurich (361) world (337)

Top Hashtags in Follower Bios

#bitcoin (58) #nft (26) #switzerland (25) #btc (22) #crypto (20) #teamscience (18) #ai (18) #sustainability (17) #digital (17) #nosvp (16)

32,361

Followers With Bio

68,638

Followers Without Bio

32.04%

% With Bio

67.96%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

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Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

3,133

Combined Engagement

2,292

Total Likes

841

Total Retweets

627

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

20%

With @Mentions

80%

With Links

Topical Analysis:

Public Health Coronavirus Pandemic Vaccination Health Statistics Government Communication International Health Updates
BAG – OFSP – UFSP
@BAG_OFSP_UFSP

Ist das Risiko einer Spitaleinweisung für Geimpfte und Ungeimpfte gleich hoch? Nein. Das Video zeigt, dass aus dem Zusammenhang gerissene Zahlen den falschen Eindruck erwecken können. Mit einer höheren Impfquote können wir die Anzahl Spitaleinweisungen reduzieren. https://t.co/kz

2021-12-23
Retweets: 226 Likes: 806 Engagement: 1,032
BAG – OFSP – UFSP
@BAG_OFSP_UFSP

Le risque d’hospitalisation est-il identique chez les personnes vaccinées et non vaccinées ? Non ! Cette vidéo montre que les chiffres hors contexte peuvent créer de fausses impressions. Un taux de vaccination élevé permet de réduire le nombre d’hospitalisations. https://t.co/KyO

2021-12-23
Retweets: 325 Likes: 599 Engagement: 924
BAG – OFSP – UFSP
@BAG_OFSP_UFSP

#CoronaInfoCH Erster wahrscheinlicher Fall der Omicron-Variante in der Schweiz: Eine Person, vor rund einer Woche zurückgekehrt aus Südafrika. Sequenzierung wird in den kommenden Tagen Gewissheit bringen.

2021-11-28
Retweets: 94 Likes: 329 Engagement: 423
BAG – OFSP – UFSP
@BAG_OFSP_UFSP

Haben Sie gewusst, dass allgemeine allergische Reaktionen häufiger sind als schwere Nebenwirkungen bei einer Covid-19 Impfung? https://t.co/4VREiWHmBP

2021-09-13
Retweets: 90 Likes: 302 Engagement: 392
BAG – OFSP – UFSP
@BAG_OFSP_UFSP

Post-Covid-19-Erkrankung: "Die Good News sind, es erholen sich einige Personen, aber es ist nicht so, dass nach einem Jahr nach Infektion alle wieder in einem sehr guten Gesundheitszustand sind." @PuhanMilo Point de Presse, 08.02.2022 #CoronaInfoCH https://t.co/CtVHRROx4p

2022-02-08
Retweets: 106 Likes: 256 Engagement: 362

Key Insights & Takeaways

The account frequently addresses vaccine-related risks and hospitalization rates, highlighting differences between vaccinated and unvaccinated individuals. It shares updates on new coronavirus variants, such as the Omicron variant, and their implications for public health. The content often includes multilingual posts, reflecting the diverse audience and international reach of the account.

Strengths

  • + Established follower base of 183,384
  • + Strong original content creation
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @BAG_OFSP_UFSP reveals an growing Twitter presence with 183,384 followers. The account demonstrates a content-creator strategy, averaging 22.8 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025