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Evaluation of spatial and non-spatial factors on tuberculosis using geospatial information system and fuzzy logic
Tuberculosis is a chronic infectious disease with various manifestations and gradual course, and it is still the main heal...
Spatiotemporal analysis of dengue fever in tourist destinations using a Time-Lagged DCCAC approach
Dengue is one of the world’s most neglected tropical diseases (NTD). It is endemic to many countries in America, Africa, E...
Identifying hotspots of malaria incidence and mortality for tailored interventions in Cameroon using routine data from 2011 to 2021: A Bayesian space-time variability modeling
Malaria remains a health challenge globally, particularly in Cameroon. Despite the emphasis of recent studies to provide e...
Detecting the occurrence of suicide clusters at city block scale: evidence from a 26-year data series
The occurrence of suicide clusters has been reported for more than a century ago (Popov, 1911). The occurrence of this phe...
Incorporating small-area estimation into mediation analyses with areal datasets
The topic of mediation analysis has received considerable attention in recent years, especially in the field of epidemiolo...
Understanding the COVID-19 pandemic through bayesian spatio-temporal modeling of several outcomes
Understanding the spatio-temporal dynamics of past pandemics and the factors driving these patterns can enhance preparedne...
The causal impact of urbanicity on neighbourhood psychosis prevalence
Volume 54, August 2025, 100739Author links open overlay panelAbstractThere is considerable evidence of elevated psychosis ...
Spatio-temporal methods to handle missing data in syndromic surveillance with applications to health management information system data
Syndromic surveillance, an approach monitoring disease symptoms as proxies for cases, serves as a valuable tool for early ...
Investigating the impact of precipitation and temperature on snakebite mortality in India: A spatial case-crossover study
In recent years, snakebite has emerged as a significant tropical health concern, with global implications. The World Healt...
Prevalence and spatial distribution of Toxoplasma gondii infection in domestic and stray cats (Felis catus) in Northwestern São Paulo, Brazil
Toxoplasmosis is a zoonotic disease caused by the intracellular protozoan parasite Toxoplasma gondii (Attias et al., 2020)...
Spatial clustering and sociodemographic factors impacting obesity and hypertension in Nepal: Analysis of a national demographic and health survey, 2022
Volume 54, August 2025, 100743Author links open overlay panel, , , , Highlights•38.5 % of respondents were classified as h...
Geostatistical and machine learning approaches for high-resolution mapping of vaccination coverage
Recently, there has been a growing interest in the production of high-resolution maps of vaccination coverage. These maps ...
Variable Screening Methods in Conditional Logistic Individual Level Models of Disease Spread
The conditional logistic individual-level model is a recently developed infectious disease model, particularly suited for ...
DeepEVD: Integrating Epidemiological data into deep learning frameworks based on spatio-temporal feature learning for EVD forecasting
Volume 54, August 2025, 100741Author links open overlay panel, , , , , AbstractThe paper introduces DeepEVD, an innovative...
Providing spatial support during a major cholera outbreak in Port-au-Prince, Haiti: Creative mapping solutions in a challenging data poor environment
In this paper we describe the spatial data challenges faced in terms of providing accurate and timely analysis for a clini...
Spatial patterns of testicular cancer diagnosis in Australia, 2010-2019
AimTo investigate the spatial patterns of the incidence rates of testicular cancer, and broad regional differences in surv...
Climate-driven potential for tularemia in East Africa: skill testing and ecological consistency of a transferred risk model
Tularemia, a neglected zoonosis, remains underreported in Africa despite growing concern over its climate-driven expansion...
An ecological study mapping socioeconomic inequalities in tuberculosis incidence in a southern state of Brazil
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Similarity- and neighbourhood-based dynamic models for infection data: Uncovering the complexities of the COVID-19 infection risks
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Unveiling spatio-temporal mysteries: A quest to decode India's Dengue and Malaria trend (2003-2022)
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Mapping gentrification, segregation, rental cost burden and sexually transmitted infections in Atlanta, Georgia, 2005–2018
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Identifying points of interest (POIs) as sentinels for infectious disease surveillance: A COVID-19 study
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Spatial pattern of congenital toxoplasmosis incidence and its relationship with vulnerability and national health indicators in Brazil
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Spatio-temporal modeling to identify factors associated with stunting in Indonesia using a Modified Generalized Lasso
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Multivariate skew-normal distribution for modelling skewed spatial data
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Road traffic deaths caused by at-fault drivers and drinking-driving in China: A spatiotemporal analysis of the 2017–2020 period
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Spatial pattern of all cause excess mortality in Swiss districts during the pandemic years 1890, 1918 and 2020
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Multiple “spaces”: Using wildlife surveillance, climatic variables, and spatial statistics to identify and map a climatic niche for endemic plague in California, U.S.A.
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Investigating interaction effects of social risk factors and exposure to air pollution on pediatric lymphoma cancer in Georgia, United States
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Association between urban green space and transmission of COVID-19 in Oslo, Norway: A Bayesian SIR modeling approach
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