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Enterprise AI Analysis: Recent trajectories of biometeorology in the Global South: a systematic review of biometeorology research in the International Journal of Biometeorology

Research Analysis by Own Your AI

Global South Biometeorology: Trajectories & Opportunities

From the research in the International Journal of Biometeorology, our analysis reveals the accelerating impact and persistent disparities in biometeorological research, offering a roadmap for equitable collaboration and innovation.

Executive Impact Snapshot

Key metrics from the analysis highlighting the scale and scope of biometeorological research in the Global South.

0 Total GS Studies Analyzed
0 IJBM Publications from Global South
0 Global South Countries Covered

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

Research Landscape
Methodological Advancements
Authorship & Equity
19.4% IJBM Publications from Global South

Of 3,046 total publications in the International Journal of Biometeorology (IJBM) between 2000 and 2024, 591 (19.4%) were empirical studies conducted in 147 Global South countries, indicating a growing but still limited contribution.

PRISMA-Style Study Identification Process

Identified 147 Global South countries
Initial search yielded 2,624 papers (2000-2024)
Removed 1,469 duplicate papers
Removed 114 non-empirical papers
Excluded 450 papers not empirically studying Global South
Final sample of 591 empirical studies

Geographic Distribution Highlights & Gaps

Key Contributors (2000-2024) Underrepresented Regions
  • Brazil (127), India (97), Iran (48), Mexico (25), Nigeria (18), South Africa (17), Argentina (17)
  • Increasing overall output from Global South
  • Diversity and innovation in Global South contexts
  • Much of Africa (beyond top contributors)
  • Central America
  • Central and Southeast Asia (excluding East Asian countries like China/S. Korea often miscategorized)

While certain Global South countries show high research activity, significant regions remain underrepresented, highlighting the need for broader geographic inclusion to prevent biased global models.

356 Regression & Associations Studies

Regression-based analyses and association testing dominate methodological approaches in Global South biometeorology, reflecting a continued reliance on statistical methods to explore climate-health linkages.

Key Data Types & Analysis Methods

Dominant Data Types Prominent Analysis Methods
  • Meteorological and Atmospheric Data (Approx. 250 publications)
  • Plant Data (Approx. 100 publications)
  • Animal Data (Approx. 70 publications)
  • Human Health Data
  • Land and Environmental Data
  • Regression & Associations (356 instances)
  • Hypothesis Testing & Inference (257 instances)
  • Time Series & Simulation (184 instances)
  • Spatial, Geostatistical & Qualitative (117 instances)
  • Machine Learning & AI (83 instances)

The field is evolving, with a clear shift towards diverse datasets and advanced analytical frameworks, yet experimental studies remain rare, pointing to infrastructure disparities.

26 Max Authors on a Single Paper

One study featured as many as 26 authors, indicating a high degree of collaborative engagement, often reflective of interdisciplinary and multi-institutional partnerships addressing complex research questions.

Author Affiliation Patterns & Equity Concerns

Leading Global South Affiliations Global North Affiliations (despite GS focus)
  • Brazil (903)
  • India (634)
  • Iran (219)
  • Mexico (112)
  • South Africa (66)
  • Nigeria (43)
  • Argentina (72)
  • Chile (5)
  • United States (79)
  • Australia (74)
  • Germany (74)
  • United Kingdom (34)
  • Canada (16)
  • France (12)
  • Russia (8)

A notable proportion of authors from Global North institutions are affiliated with studies on the Global South, raising concerns about 'parachute science' and reinforcing the need for equitable collaboration and capacity-building.

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Your Strategic Implementation Roadmap

A phased approach to integrate insights from this research into your enterprise strategy, ensuring sustainable growth and equitable impact.

Phase 1: Foster Equitable Collaboration (0-6 Months)

Goal: Bridge the divide between Global North and South researchers.

Action: Implement structured mentorship programs pairing early-career Global South scientists with experienced international researchers.

Outcome: Enhanced skills transfer and more equitable collaborative opportunities.

Phase 2: Enhance Institutional Support & Access (6-18 Months)

Goal: Address structural barriers to participation.

Action: Increase financial support mechanisms (travel grants, reduced conference fees) for Global South researchers and host conferences/workshops in Global South regions.

Outcome: Reduced access barriers, amplified local priorities, and developed regional research networks.

Phase 3: Drive Contextualized Knowledge Production (18-36 Months)

Goal: Advance methodologically innovative research rooted in Global South contexts.

Action: Invest in research infrastructure and expanded access to open-source tools and large global datasets with local ground-truthing efforts.

Outcome: Generates contextually relevant knowledge and ensures benefits are shared across geographies.

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