Skip to main content

Table 3 Topics and topic groups identified through the structured topic modelling with topic number k = 11 within the literature published in the period 1958 - 2022

From: Science communication on the public health risks of air pollution: a computational scoping review from 1958 to 2022

#

Topic name

Topic Group

Prevalence

Top 10 keywords (lemmatized)

3

Risk communication

Risk communication

0.1466

pollution, air, air pollution, health, risk, public, environmental, public health, study, assessment

8

Air quality management

Air quality management

0.1053

air, quality, air quality, indoor, health, monitoring, public, indoor air, standard, pollutant

5

Climate change and adaptations

Environmental protection, climate, sustainability

0.1000

health, change, climate, public, urban, public health, impact, covid-19, climate change, environment

10

Energy

Environmental protection, climate, sustainability

0.0894

emission, health, benefit, energy, impact, reduction, reduce, air, cost, control

7

Prediction models

Prediction models

0.0985

model, air, datum, concentration, spatial, study, air quality, quality, base, result

9

Epidemiological analyses

Health impacts

0.0934

mortality, air, pollution, air pollution, increase, disease, pollutant, association, study, term

6

Respiratory diseases

Health impacts

0.0820

child, asthma, disease, respiratory, factor, health, study, lung, risk, cancer

4

Pregnancy and birth

Health impacts

0.0609

exposure, study, association, health, smoke, outcome, associate, birth, population, risk

11

Pollutant sources and concentrations

Substance analysis and filters

0.0781

emission, source, concentration, traffic, pollutant, vehicle, carbon, study, urban, level

1

Filters and membranes

Substance analysis and filters

0.0739

particle, particulate, air, airborne, aerosol, sample, filter, matter, particulate matter, study

2

Preclinical analyses

Preclinical analyses

0.0719

pm2.5, particulate, matter, particulate matter, exposure, concentration, fine, m3, μg, health

  1. Note: Prevalence describes the average probability of assigning a certain topic to a certain document