Keyphrases
Peru
100%
Peruvian
71%
COVID-19 Pandemic
33%
COVID-19
30%
Tree Species
29%
Polylepis
28%
Mexican
24%
Wood
22%
Tropical Montane Cloud Forest
22%
Anatomical Features
20%
Drought Events
16%
Xylem Vessels
16%
Tropical Andes
15%
Public Health
15%
Beech
12%
South America
12%
El Nio
12%
Wood Anatomy
11%
Drought
11%
Tree-ring Chronologies
11%
Tree-ring Width
11%
Telehealth
10%
Metropolitan Areas
10%
Urban Heat Island
10%
Functional Traits
10%
Tree Rings
10%
Eastern Mexico
10%
L. Mexicana
10%
Climate Change Impacts
10%
Climatic Variability
10%
Cedrela
10%
Dendrochronology
10%
Tree Growth
9%
BBIBP-CorV
9%
Latin America (LATAM)
9%
Vessel Features
9%
Wood Traits
9%
Healthcare Workers
9%
Biosorbent
9%
Forest Species
9%
Interrupted Time Series
9%
Information Communication Technology
9%
Lima
9%
Developing Countries
8%
High Andes
8%
Efficient Removal
8%
Ternstroemia
8%
Fagus Grandifolia
8%
Agro-industrial Waste
8%
Pb(II) Removal
8%
Aqueous Solution
8%
Oak Forest
8%
External Validation
8%
Acid Mine Drainage
8%
Acid Mine Water
8%
Adsorbent Materials
8%
Neutralizer
8%
Mine Water Treatment
8%
Climate Change
8%
Telemedicine
8%
Adaptation
8%
Tree-ring Data
8%
Climate Variability
7%
Surface Urban Heat Island
7%
Southern Oscillation
7%
Confidence Interval
7%
Health Information Systems
7%
Nursing Informatics
7%
Tropical Forest
7%
Regulatory Framework
7%
Magnolia
7%
COVID-19 Mortality
6%
Precipitation Records
6%
Health Workforce
6%
Capacity Building
6%
Resilience
6%
Surface Temperature
6%
Climate Sensitivity
6%
Brazil
6%
Meta-analysis
6%
Climate Vulnerability
6%
Mantaro Basin
6%
Health Personnel
6%
Pb(II) Adsorption
6%
Polylepis Tarapacana
6%
Climatic Factors
6%
Digital Health
6%
Hydric Deficit
6%
Relict Tree
5%
University Students
5%
Beech Forest
5%
Juglandaceae
5%
Annual Growth Rings
5%
Convolutional Neural Network
5%
Construction Industry
5%
Academic Network
5%
Older Adults
5%
Peruvian Andes
5%
Xylem Traits
5%
Timber Species
5%