Impact Factor
2.94
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
2.15
159 total citations
h5-index
16
h5 depth signal
Cited share
70.9%
56 of 79
Total citations
159
Citation footprint
Metric signal
1.80
External metric anchor
Self-citation
8.8%
14 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
95
China
72
Brazil
35
Italy
30
Indonesia
26
Citing Fields of Research
Healthcare Policy
100
Tropical Diseases
97
Statistical Methods
53
Parasitology Studies
46
Environmental Sciences
42
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
854
Articles tracked across the journal lifetime
Indexed publication set
79
56 cited publications
Last 12 months
34
17.0 publications/month
Open access share
100.0%
34 OA publications in the last year
Leading citing country
United States
95 citing publications
Leading citing field
Healthcare Policy
100 citing publications
Latest tracked publication
23 July 2026
10 recent records available
Coverage & Indexing History
v1n1, Nov. 2006-
v1n1, Nov. 2006-
Research Focus & Classification
Indexed Subjects
Tropical Diseases
Healthcare Policy
Statistical Methods
Transportation
Environmental Sciences
Mycobacterial Diseases
Issuing & Sponsoring Bodies
Contributor
Università di Napoli. Dipartimento di patologia e sanità animale
Contributor
Università di Napoli. Dipartimento di medicina veterinaria e produzioni animali
Contributor
Global Network for Geospatial Health
Contributor
International Society of Geospatial Health
Broad Categories
Environmental Health
Healthcare Policy
Tropical Diseases
Virology
Transportation
Statistical Methods
Parasitology Studies
MeSH Descriptors
Geographic Information Systems
Geography
Public Health
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.4081/gh.2026.1535
Open DOI
Nonlinear analysis of factors influencing tuberculosis outpatient visits in China: an explainable machine learning approach
This study aims to analyze the temporal trends, interprovincial differences, and key predictors of Tuberculosis Outpatient Visits (TOV) in China. It provides empirical evidence for understanding regional differences in tuberculosis-relat...
02
DOI 10.4081/gh.2026.1487
Open DOI
Prostate cancer burden and attributable risk factors in East Asia from 1990 to 2021: a systematic analysis
Prostate cancer is a significant health concern in East Asia, where distinctive characteristics of disease presentation and outcomes warrant focused epidemiological investigation. This study evaluated the current status, future trends an...
03
DOI 10.4081/gh.2026.1486
Open DOI
Geospatial approaches to analysing spatial patterns of stroke incidence and mortality: a systematic review
Stroke is a leading cause of mortality and disability worldwide; however, its burden is unevenly distributed across geographical areas. This systematic review aimed to synthesise studies examining the spatial distribution of stroke incid...
04
DOI 10.4081/gh.2026.1427
Open DOI
Spatio-temporal epidemiology of intestinal infectious diseases in Blantyre District, Malawi
Intestinal infectious diseases remain among the leading causes of death, mainly in sub-Saharan Africa. In Malawi’s commercial hub, Blantyre, the spatiotemporal dynamics of these diseases have not been extensively studied, despite their s...
05
DOI 10.4081/gh.2026.1491
Open DOI
Household-level spatial modelling of child height-for-age in Northern Province, Rwanda: comparison of geographically weighted and neural network weighted regression models
Childhood stunting remains a major public health concern in low- and middle-income countries, with persistent sub-national disparities. This study examined spatially varying associations between Height-for-Age z-scores (HAZ) and selected...
06
DOI 10.4081/gh.2026.1544
Open DOI
Ten common pitfalls in spatial epidemiology and how to avoid them
Spatial epidemiology provides powerful tools for understanding geographic patterns in health and disease, but methodological and interpretative pitfalls can undermine the validity of spatial analyses. This editorial highlights ten common...
07
DOI 10.4081/gh.2026.1511
Open DOI
Bayesian hierarchical spatial models for disease mapping in the presence of missing covariates
Bayesian spatial models for disease mapping, such as Besag-York-Mollié (BYM) models, are widely used to model disease counts while accounting for spatial dependence. However, these models are not equipped to handle missing covariate valu...
08
DOI 10.4081/gh.2026.1479
Open DOI
Synergistic drivers of Lyme disease emergence in North America: an eco-syndemic review
Lyme disease is a growing public health threat driven by interplay of climatic, ecological and social factors. This review adopts an eco-syndemic framework, viewing Lyme disease emergence as the confluence of multiple synergistic drivers...
09
DOI 10.4081/gh.2026.1498
Open DOI
Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors
Hypertension poses a major health challenge for the rural elderly in China, but evidence on its spatial patterns and key influencing factors is still limited. This study examined the spatial distribution of hypertension prevalence among ...
10
DOI 10.4081/gh.2026.1490
Open DOI
Epidemiological and spatial analysis of breast cancer mortality and survival among women in San Luis Potosi, Mexico 2009-2019
This study investigated variations in breast cancer mortality among women in San Luis Potosí, Mexico using an epidemiologicalspatial approach covering the period 2009–2019. Additionally, global and specific survival and its associations ...
Bibliographical & Catalog Notes
Title from title page.
"Health applications in geospatial science."
Also issued online.
Scientific journal of the International Society of Geospatial Health.