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25 results for “Negative Binomial Regression”

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Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral

04-11-2015

DOI https://doi.org/10.4081/gh.2015.365
- 3,553 abstract views
- 1,617 PDF
- 1,235 HTML
Understanding the relationship between land use and land cover and malaria in Nepal

Shreejana Bhattarai, Korine N. Kolivras, Kabita Ghimire, Yang Shao

29-12-2020

DOI https://doi.org/10.4081/gh.2020.855
- 2,499 abstract views
- 1,053 PDF
- 48 HTML
Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

Osadolor Ebhuoma, Michael Gebreslasie, Oswaldo Villena, Ali Arab

09-06-2025

DOI https://doi.org/10.4081/gh.2025.1370
- 1,814 abstract views
- 1,110 PDF
- 178 HTML
Performance of a negative binomial-GLM in spatial scan statistic: a case study of low-birth weights in Pakistan

Sami Ullah, Mushtaq Ahmad Khan Barakzai, Tianfa Xie

03-09-2024

DOI https://doi.org/10.4081/gh.2024.1313
- 1,939 abstract views
- 771 PDF
- 187 HTML
Spatial analysis and modelling of depression relative to social vulnerability index across the United States

Kiara M. Rivera, Abolfazl Mollalo

01-09-2022

DOI https://doi.org/10.4081/gh.2022.1132
- 5,944 abstract views
- 2,671 PDF
- 644 HTML
Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA

Yan Lin, Al Ekram Elahee Hridoy , Meifang Li, Zhe Wang, Li Luo, Xiaogang Ma, Zhuoming Liu, Murphy John, Chao Fan, Irene Ruberto, Xi Gong, Xun Shi

17-07-2025

DOI https://doi.org/10.4081/gh.2025.1390
- 1,365 abstract views
- 1,087 PDF
- 165 Supplementary Materials
- 133 HTML
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches

Farah Kristiani, I Gede Nyoman Mindra Jaya, Robyn Irawan, Inanta Maria Priscilia

02-02-2026

DOI https://doi.org/10.4081/gh.2026.1461
- 976 abstract views
- 623 PDF
- 117 Supplementary materials
- 23 HTML
Comparison of single- and multi-scale models for the prediction of the Culicoides biting midge distribution in Germany

Renke Lühken, Jörn Martin Gethmann, Petra Kranz, Pia Steffenhagen, Christoph Staubach, Franz J. Conraths, Ellen Kiel

31-05-2016

DOI https://doi.org/10.4081/gh.2016.405
- 3,653 abstract views
- 1,233 PDF
- 1,471 HTML
Application of geo-spatial technology in schistosomiasis modelling in Africa: a review

Tawanda Manyangadze, Moses John Chimbari, Michael Gebreslasie, Samson Mukaratirwa

04-11-2015

DOI https://doi.org/10.4081/gh.2015.326
- 4,699 abstract views
- 2,464 PDF
- 2,234 HTML
Assessing effects of structural zeros on models of canine cancer incidence: a case study of the Swiss Canine Cancer Registry

Gianluca Boo, Stefan Leyk, Sara Irina Fabrikant, Andreas Pospischil, Ramona Graf

11-05-2017

DOI https://doi.org/10.4081/gh.2017.539
- 3,899 abstract views
- 1,335 PDF
- 834 HTML
Identification and mapping of objects targeted for surveillance and their role as risk factors for brucellosis in livestock farms in Kazakhstan

Aizada A. Mukhanbetkaliyeva, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Zhanat S. Adilbekov, Assylbek A. Zhanabayev, Assem Z. Abenova, Fedor I. Korennoy, Sarsenbay K. Abdrakhmanov

08-11-2024

DOI https://doi.org/10.4081/gh.2024.1335
- 2,042 abstract views
- 682 PDF
- 83 HTML
A Bayesian spatial ecological analysis of social conditions, infection burden and COVID-19 mortality across mainland Scottish councils 2020-2021

Zhiyuan Luo, Yancheng Liu, Wenqi Xu

10-06-2026

DOI https://doi.org/10.4081/gh.2026.1477
- 538 abstract views
- 337 PDF
- 81 Supplementary Materials
- 14 HTML
Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

Dustin T. Duncan, Ryan R. Ruff, Basile Chaix, Seann D. Regan, James H. Williams, Joseph Ravenell, Marie A. Bragg, Gbenga Ogedegbe, Brian Elbel

31-05-2016

DOI https://doi.org/10.4081/gh.2016.399
- 4,503 abstract views
- 2,128 PDF
- 1,525 HTML
Spatial prediction of the risk of exposure to Echinococcus spp. among schoolchildren and dogs in Ningxia Hui Autonomous Region, People's Republic of China

Angela M. Cadavid Restrepo, Yu Rong Yang, Donald P. McManus, Darren J. Gray, Tamsin S. Barnes, Gail M. Williams, Ricardo J. Soares Magalhães, Archie C.A. Clements

07-05-2018

DOI https://doi.org/10.4081/gh.2018.644
- 2,579 abstract views
- 1,098 PDF
- 108 HTML
Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular

22-03-2022

DOI https://doi.org/10.4081/gh.2022.1070
- 1,910 abstract views
- 1,048 PDF
- 46 HTML
Comparing conditional autoregressive models for Bayesian spatial mapping of dengue cases in Indonesia

Ferra Yanuar, Yudiantri Asdi, Aidinil Zetra, Sofiana Wudlu, Fenni Kurnia Mutiya, Rahmawita Rahmawita

18-06-2026

DOI https://doi.org/10.4081/gh.2026.1443
- 408 abstract views
- 462 PDF
- 8 HTML
Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

Benjamin G. Jacob, Fiorella Krapp, Mario Ponce, Eduardo Gotuzzo, Daniel A. Griffith, Robert J. Novak

01-05-2010 Pages 201-217

DOI https://doi.org/10.4081/gh.2010.201
- 1,955 abstract views
- 1,184 PDF
A Bayesian spatiotemporal Poisson conditional autoregressive model for dengue haemorrhagic fever in Indonesia integrating satellite-generated environmental data

Sukarna Sukarna, Hari Wijayanto, Yenni Angraini, Anang Kurnia

18-07-2025

DOI https://doi.org/10.4081/gh.2025.1379
- 1,614 abstract views
- 813 PDF
- 70 HTML
Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

Kabeya Clement Mulamba

12-05-2025

DOI https://doi.org/10.4081/gh.2025.1340
- 1,739 abstract views
- 420 PDF
- 67 HTML
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

DOI https://doi.org/10.4081/gh.2015.306
- 8,147 abstract views
- 3,452 PDF
- 3,298 HTML
Diagnostic approaches to malaria in Zambia, 2009-2014

Victor M. Mukonka, Emmanuel Chanda, Mulakwa Kamuliwo, Maha A. Elbadry, Pauline K. Wamulume, Mercy Mwanza-Ingwe, Jailos Lubinda, Lindsey A. Laytner, Wenyi Zhang, Gabriel Mushinge, Ubydul Haque

03-06-2015

DOI https://doi.org/10.4081/gh.2015.330
- 3,948 abstract views
- 1,591 PDF
- 1,180 HTML
Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria

Abdullahi O. Sanni , Annelize Jonker, Olatunji O. Johnson , Ezra Gayawan , Aminu Shittu , Olubunmi G. Fasanmi , Oluwawemimo A. Adebowale , Folorunso O. Fasina

12-02-2026

DOI https://doi.org/10.4081/gh.2026.1316
- 1,548 abstract views
- 747 PDF
- 212 Supplementary Materials
- 27 HTML
Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez

18-04-2016

DOI https://doi.org/10.4081/gh.2016.415
- 4,025 abstract views
- 2,099 PDF
- 2,271 HTML
Modelling count data with an excess of zero values applied to childhood bone tumour incidence in Iraq

Muzahem Mohammed Al-Hashimi, Hasmek Antranik Warttan

12-03-2021

DOI https://doi.org/10.4081/gh.2021.873
- 2,340 abstract views
- 877 PDF
- 155 HTML
The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal

Ana Isabel Ribeiro, Elias Teixeira Krainski, Marilia Sá Carvalho, Maria de Fátima de Pina

07-11-2017

DOI https://doi.org/10.4081/gh.2017.581
- 4,014 abstract views
- 1,585 PDF
- 885 HTML

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