Trend · rank 104 of 250

Antimicrobial resistance

Resistance is reducing the effectiveness of established antimicrobial medicines, increasing illness burdens and the risk of routine surgery while making surveillance, stewardship and dependable access to new treatments more important.

Human CapitalPeople, health & workdiseasehealth systemsbiotech

Second pass: Carried forward from the first pass unchanged. Held by all three panel models.

Sensitivity and network position

Rank
104of 250
Sensitivity
6.7rank 181
Breadth
0of 20 scenarios High or above
PageRank
43.8rank 72
Eigenvector
0.5
Betweenness
22.1
Links
13trends at Moderate similarity or above
Composite
22.7

Attention over three years

How much this trend is read about on Wikipedia and searched for on Google, week by week, set against the typical trend in the list so that what moves every trend at once is taken out. 100 is this trend's own three-year average. The score measures public attention, which is not the same as the strength of the force: a trend can deepen unnoticed, and a news event can lift attention for a fortnight.

Now
71
Over a year
−20%Easing
Over three years
−38%
Peak
14715 Sept 2024
Sources
Bothagreement 0.67
Coverage
21languages · 57 nations

Trailing 4-week average. 100 is this trend’s three-year average.

By language

Wikipedia reading in each language edition where the trend’s pages are read enough to measure (21 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English61%70−28%
Russian7%58−40%
German5%72−22%
Japanese4%86−46%
French4%92−2%
Chinese4%95+3%
Spanish3%68−29%
Polish3%59−25%
Portuguese2%82−18%
Italian2%77−25%
Hebrew2%65−35%
Persian1%101−23%
Dutch1%96−15%
Korean1%59−38%
Swedish1%81−16%
Ukrainian0%35−31%
Thai0%153+64%
Vietnamese0%61−11%
Turkish0%77−0%
Hindi0%72−15%
Bengali0%107+79%

By country

Google search interest over the three years, as a share of each country’s searching. 100 is the nation where interest is highest. The search terms are English, which favours countries that search in English.

United States

Norway

United Kingdom

Ireland

Canada

Singapore

Australia

Denmark

Netherlands

Sweden

New Zealand

Finland

100

98

70

69

64

63

60

56

55

55

52

48

The 12 highest of 57 nations with a reading.

By region and G20 member

Attention to this trend inside each place, from Google searches made in its countries and Wikipedia reading in the languages mostly read there, averaged where both exist. Each line compares the trend with its own past in that place; the lines do not compare places.

Regions

PlaceRead fromNow90 days1 year3 yearsThree years
North AmericaGoogle in 2 countries + Wikipedia in English78+27%−21%−32%
EuropeGoogle in 6 countries + Wikipedia in German, French, Italian, Polish, Dutch, Swedish77−17%−23%−22%
Indo-PacificGoogle in 11 countries + Wikipedia in Japanese, Chinese, Korean, Vietnamese, Thai100−1%−4%−5%
South AsiaGoogle in 3 countries + Wikipedia in Hindi, Bengali93+3%+6%−18%
Gulf and Middle EastGoogle in 1 country + Wikipedia in Persian, Turkish, Hebrew87−15%−21%−3%
AfricaGoogle in 2 countries81−20%−25%−33%
Latin America and CaribbeanGoogle in 2 countries + Wikipedia in Spanish, Portuguese119−28%+48%+64%
Russia and EurasiaWikipedia in Russian, Ukrainian54−24%−40%−54%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
AustraliaGoogle86+22%−25%−23%
BrazilGoogle + Wikipedia in Portuguese126−36%+55%+172%
CanadaGoogle87+40%−33%−25%
FranceGoogle + Wikipedia in French73−33%−28%−21%
GermanyGoogle + Wikipedia in German91−20%+9%−8%
IndiaGoogle + Wikipedia in Hindi, Bengali94+6%+12%−16%
IndonesiaGoogle165−3%+232%+124%
ItalyWikipedia in Italian77−8%−25%−3%
JapanGoogle + Wikipedia in Japanese108−21%−12%+17%
South KoreaGoogle + Wikipedia in Korean82−21%−17%−25%
MexicoGoogle156−15%+142%+21%
RussiaWikipedia in Russian58−20%−40%−47%
South AfricaGoogle75−43%−21%−40%
TürkiyeGoogle + Wikipedia in Turkish85−15%−10%−24%
United KingdomGoogle51−19%−58%−59%
United StatesGoogle + Wikipedia in English78+32%−17%−33%

Relation to each scenario

A trend relates to a scenario when it changes how likely the scenario is, how hard it lands, or is itself sharply changed by it. Each score is the median of three scores given separately by the members of the model panel.

RelationScenarioFamily
3 · ModerateA novel respiratory pathogen exceeds health surge capacity S10Health
2 · LowAI-directed research produces a reproducible discovery step S17 ↗Technology and infrastructure
2 · LowA live outbreak proves rapid distributed pandemic defence S20 ↗Health
1 · Very lowCritical trade divides into rival blocs S01Economic and trade
0 · Not relatedA global funding seizure reaches sovereign balance sheets S02Economic and trade
0 · Not relatedA regional war closes a globally important sea route S03Geopolitical and security
0 · Not relatedHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
0 · Not relatedA disputed transfer of power breaks effective government S05Geopolitical and security
0 · Not relatedTwo breadbasket failures trigger a food availability crisis S06Energy, climate and resources
0 · Not relatedA major disaster disables the national economic core S07Energy, climate and resources
0 · Not relatedAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
0 · Not relatedA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
0 · Not relatedA creditor agreement releases fiscal capacity S11 ↗Economic and trade
0 · Not relatedA cross-regional market access compact redirects investment S12 ↗Economic and trade
0 · Not relatedA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
0 · Not relatedA verified Middle East settlement restores access S14 ↗Geopolitical and security
0 · Not relatedCheap firm clean power becomes available at scale S15 ↗Energy, climate and resources
0 · Not relatedA validated farming package raises water-efficient output S16 ↗Energy, climate and resources
0 · Not relatedA public service platform reaches inclusive operation S18 ↗Technology and infrastructure
0 · Not relatedAffordable preventive treatments reduce chronic illness S19 ↗Health

Similarity = 0.3 × shared tags (Jaccard) + 0.3 × likeness of scenario profiles (cosine) + 0.3 × likeness of names and descriptions (TF-IDF cosine) + 0.1 if in the same capability domain, cut into seven levels at 0.12, 0.22, 0.33, 0.45, 0.58, 0.72. Shown at Moderate and above.

SimilarityTrendThemeRank
5 · Very highAdaptable vaccine platformsPeople, health & work106
4 · HighPathogen emergence pressurePeople, health & work163
3 · ModerateHealth workforce scarcityPeople, health & work48
3 · ModerateGlobal health governancePeople, health & work49
3 · ModerateRegional medicines manufacturingPeople, health & work52
3 · ModerateHealth system demand imbalancePeople, health & work56
3 · ModerateChronic disease & obesity burdenPeople, health & work98
3 · ModerateReproductive, maternal & child healthPeople, health & work123
3 · ModerateAI drug developmentPeople, health & work125
3 · ModerateMental health demand growthPeople, health & work127
3 · ModerateSanitation & hygiene access gapsPeople, health & work188
3 · ModerateBiosecurity & dual-use biologyPeople, health & work216
3 · ModerateGene editing & cell therapiesPeople, health & work222