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Impact of climate variability on the occurrence of cutaneous leishmaniasis in Khuzestan Province, southwestern Iran

Farideh Azimi, Sadegh Shirian, Saranaz Jangjoo, Arman Ai, Tahereh Abbasi

08-05-2017

https://doi.org/10.4081/gh.2017.478

2651

PDF: 1226

HTML: 1045
Spatial analysis of cutaneous leishmaniasis in an endemic area of Iran based on environmental factors

Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi

08-11-2017

https://doi.org/10.4081/gh.2017.578

2480

PDF: 888

HTML: 915
Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

Verónica Andreo, Juan Rosa, Karina Ramos, O. Daniel Salomón

06-05-2022

https://doi.org/10.4081/gh.2022.1033

1486

PDF: 692

Appendix: 105

HTML: 30
Epidemiological aspects and spatial distribution of human and canine visceral leishmaniasis in an endemic area in northeastern Brazil

Roseane Campos, Márcio Santos, Gabriel Tunon, Luana Cunha, Lucas Magalhães, Juliana Moraes, Danielle Ramalho, Sanmy Lima, José Antônio Pacheco, Michael Lipscomb, Amélia Ribeiro de Jesus, Roque Pacheco de Almeida

11-05-2017

https://doi.org/10.4081/gh.2017.503

4891

PDF: 1899

HTML: 1137
Application of decision tree for prediction of cutaneous leishmaniasis incidence based on environmental and topographic factors in Isfahan Province, Iran

Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi

08-05-2018

https://doi.org/10.4081/gh.2018.664

1620

PDF: 774

HTML: 158
American cutaneous leishmaniasis cases in the metropolitan region of Manaus, Brazil: association with climate variables over time

Rodrigo Augusto Ferreira de Souza, Rita Valéria Andreoli, Mary Toshie Kayano, AfrÃ¢nio Lima Carvalho

18-05-2015

https://doi.org/10.4081/gh.2015.314

2737

PDF: 1346

HTML: 810
Spatial and spatiotemporal dynamics of visceral leishmaniasis in an endemic North-eastern region of Brazil

Ã‚ndria Silveira Almeida, Caíque Jordan Nunes Ribeiro, Camila Caroline Carlini, Rogério Silva Santos, Allan Dantas dos Santos, Débora Santos Tavares, Karina Conceição Gomes Machado de Araújo, Tatiana Rodrigues de Moura, Priscila Lima dos Santos

11-01-2021

https://doi.org/10.4081/gh.2020.885

1663

PDF: 780

HTML: 34
Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim

08-06-2022

https://doi.org/10.4081/gh.2022.1095

1347

PDF: 764

HTML: 44
Ecological niche model of Phlebotomus perniciosus, the main vector of canine leishmaniasis in north-eastern Italy

Manuela Signorini, Rudi Cassini, Michele Drigo, Antonio Frangipane di Regalbono, Mario Pietrobelli, Fabrizio Montarsi, Anna-Sofie Stensgaard

193-201

01-11-2014

https://doi.org/10.4081/gh.2014.16

3396

PDF: 1435
Hyperendemicity, heterogeneity and spatial overlap of leprosy and cutaneous leishmaniasis in the southern Amazon region of Brazil

Amanda Gabriela de Carvalho, João Gabriel Guimarães Luz, João Victor Leite Dias, Anuj Tiwari, Peter Steinmann, Eliane Ignotti

29-12-2020

https://doi.org/10.4081/gh.2020.892

1819

PDF: 834

HTML: 34
Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran

Mohammadreza Rajabi, Ali Mansourian, Petter Pilesjö, Ahad Bazmani

179-191

01-11-2014

https://doi.org/10.4081/gh.2014.15

7090

PDF: 1398
Risk assessment for canine leishmaniasis spreading in the north of Italy

Giulia Morosetti, Gioia Bongiorno, Bernadett Beran, Aldo Scalone, Judith Moser, Marina Gramiccia, Luigi Gradoni, Michele Maroli

115-127

01-11-2009

https://doi.org/10.4081/gh.2009.214

2448

PDF: 734
Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach

Teshome Tsegaw, Endalamaw Gadisa, Ahmed Seid, Adugna Abera, Aklilu Teshome, Abate Mulugeta, Merce Herrero, Daniel Argaw, Alvar Jorge, Abraham Aseffa

299-308

01-05-2013

https://doi.org/10.4081/gh.2013.88

3499

PDF: 1453
Ecological study and risk mapping of visceral leishmaniasis in an endemic area of Iran based on a geographical information systems approach

Abdoreza Salahi-Moghaddam, Mehdi Mohebali, Ali Moshfae, Majid Habibi, Zabiholah Zarei

71-77

01-11-2010

https://doi.org/10.4081/gh.2010.188

1899

PDF: 825
Temperature-derived potential for the establishment of phlebotomine sandflies and visceral leishmaniasis in Germany

Dominik Fischer, Stephanie M. Thomas, Carl Beierkuhnlein

59-69

01-11-2010

https://doi.org/10.4081/gh.2010.187

2362

PDF: 1085
Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach

Alba Valéria Machado da Silva, Monica de Avelar Figueiredo Mafra Magalhães, Reginaldo Peçanha Brazil, João Carlos Araujo Carreira

33-40

01-11-2011

https://doi.org/10.4081/gh.2011.155

1593

PDF: 889
Risk map for cutaneous leishmaniasis in Ethiopia based on environmental factors as revealed by geographical information systems and statistics

Ahmed Seid, Endalamaw Gadisa, Teshome Tsegaw, Adugna Abera, Aklilu Teshome, Abate Mulugeta, Merce Herrero, Daniel Argaw, Alvar Jorge, Asnakew Kebede, Abraham Aseffa

377-387

01-05-2014

https://doi.org/10.4081/gh.2014.27

5326

PDF: 2413
Application of spatio-temporal scan statistics for the detection of areas with increased risk for American visceral leishmaniasis in the state of Bahia, Brazil

Deborah D.M.T. Carneiro, Maria E. Bavia, Washington J.S.F. Rocha, Antônio C.Q. Tavares, Luciana L. Cardim, Biruk Alemayehu

113-126

01-11-2007

https://doi.org/10.4081/gh.2007.260

1364

PDF: 856
Exploring recent spatial patterns of cutaneous leishmaniasis and their associations with climate in some countries of the Middle East using geographical information systems

Salahuddin M. Jaber, Jwan H. Ibbini, Nawal S. Hijjawi, Nafn M. Amdar, Mohammed J. Huwail, Khalid Al-Aboud

143-158

01-11-2013

https://doi.org/10.4081/gh.2013.62

1984

PDF: 939
Incidence of visceral leishmaniasis in the Vaishali district of Bihar, India: spatial patterns and role of inland water bodies

Gouri Sankar Bhunia, Shreekant Kesari, Nandini Chatterjee, Dilip Kumar Pal, Vijay Kumar, Alok Ranjan, Pradeep Das

205-215

01-05-2011

https://doi.org/10.4081/gh.2011.173

1629

PDF: 962
Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

Amanda G. Carvalho, Carolina Lorraine H. Dias, David J. Blok, Eliane Ignotti, João Gabriel G. Luz

06-10-2023

https://doi.org/10.4081/gh.2023.1227

1122

PDF: 520

Supplementary Materials: 56

HTML: 11
Ecological niche modeling for visceral leishmaniasis in the state of Bahia, Brazil, using genetic algorithm for rule-set prediction and growing degree day-water budget analysis

Prixia Nieto, John B. Malone, Maria E. Bavia

115-126

01-11-2006

https://doi.org/10.4081/gh.2006.286

1798

PDF: 803
Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods

Mohamadreza Rajabi, Ali Mansourian, Ahad Bazmani

37-50

01-11-2012

https://doi.org/10.4081/gh.2012.103

1552

PDF: 884
Place and health infrastructure in the Gulf Cooperation Council: A systematic scoping review of GIS applications in health

Dari Alhuwail, Saad AlSharrah, Neil T Coffee, Faisal H Al-Refaei, Mark Daniel

29-12-2020

https://doi.org/10.4081/gh.2020.887

2515

PDF: 944

HTML: 45
Influence of topography on the endemicity of Kala-azar: a study based on remote sensing and geographical information system

Gouri S. Bhunia, Shreekant Kesari, Algarsamy Jeyaram, Vijay Kumar, Pradeep Das

155-165

01-05-2010

https://doi.org/10.4081/gh.2010.197

2111

PDF: 809
Importance of individual analysis of environmental and climatic factors affecting the density of Leishmania vectors living in the same geographical area: the example of Phlebotomus ariasi and P. perniciosus in northeast Spain

Cristina Ballart, Irene Guerrero, Xavier Castells, Sergio Baròn, Soledad Castillejo, M. Magdalena Alcover, Montserrat Portús, Montserrat Gállego

389-403

01-05-2014

https://doi.org/10.4081/gh.2014.28

2662

PDF: 1119
Mapping the main Leishmania phlebotomine vector in the endemic focus of the Mt. Vesuvius in southern Italy

Erika Rossi, Laura Rinaldi, Vincenzo Musella, Vincenzo Veneziano, Sabrina Carbone, Luigi Gradoni, Giuseppe Cringoli, Michele Maroli

191-198

01-05-2007

https://doi.org/10.4081/gh.2007.267

1764

PDF: 692
From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

Behzad Kiani, Colleen Lau, Robert Bergquist

26-10-2023

https://doi.org/10.4081/gh.2023.1247

1391

PDF: 633

HTML: 22
Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

Marjan Zare, Ali Semati, Alireza Mirahmadizadeh, Abdulrasool Hemmati, Mostafa Ebrahimi

08-06-2022

https://doi.org/10.4081/gh.2022.1065

770

PDF: 326

HTML: 18
The spatial distribution of injuries in need of surgical intervention in Nepal

Shailvi Gupta, Thomas A. Groen, Barclay T. Stewart, Sunil Shrestha, David A. Spiegel, Benedict C. Nwomeh, Reinou S. Groen, Adam L. Kushner

31-05-2016

https://doi.org/10.4081/gh.2016.359

3338

PDF: 1162

HTML: 1102
SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessments

Desmond H. Foley, Richard C. Wilkerson, L. Lynnette Dornak, David B. Pecor, Arpad S. Nyari, Leopoldo M. Rueda, Lewis S. Long, Jason H. Richardson

S25-S30

01-09-2012

https://doi.org/10.4081/gh.2012.119

2127

PDF: 905
Localization of kala-azar in the endemic region of Bihar, India based on land use/land cover assessment at different scales

Gouri S. Bhunia, Shreekant Kesari, Nandini Chatterjee, Vijay Kumar, Pradeep Das

177-193

01-05-2012

https://doi.org/10.4081/gh.2012.136

1234

PDF: 850
Mastering geographically weighted regression: key considerations for building a robust model

Behzad Kiani, Benn Sartorius, Colleen L. Lau, Robert Bergquist

29-02-2024

https://doi.org/10.4081/gh.2024.1271

7785

PDF: 1299

HTML: 846
Remotely identifying potential vector habitat in areas of refugee and displaced person populations due to the Syrian civil war

Samuel N. Chambers, Joseph A. Tabor

09-11-2018

https://doi.org/10.4081/gh.2018.670

1931

PDF: 886

HTML: 44
Mapping of the environmental contamination of Toxoplasma gondii by georeferencing isolates from chickens in an endemic area in Southeast Rio de Janeiro State, Brazil

Luciana Casartelli-Alves, Maria Regina Reis Amendoeira, Viviane Cardoso Boechat, Luiz Cláudio Ferreira, João Carlos Araujo Carreira, José Leonardo Nicolau, Eloiza Paula de Freitas Trindade, Julia Novaes de Barros Peixoto, Mônica de Avelar Figueiredo Mafra Magalhães, Raquel de Vasconcellos Carvalhaes de Oliveira, TÃ¢nia Maria Pacheco Schubach, Rodrigo Caldas Menezes

18-05-2015

https://doi.org/10.4081/gh.2015.311

3189

PDF: 1333

HTML: 1505
Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy

Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari, Bologna MODELS4COVID Study Group of the University of Bologna and the National Institute for Nuclear Physics (INFN)

01-12-2022

https://doi.org/10.4081/gh.2022.1145

1408

PDF: 816

Appendix: 83

HTML: 68
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

https://doi.org/10.4081/gh.2016.415

3362

PDF: 1640

HTML: 2222
An operative dengue risk stratification system in Argentina based on geospatial technology

Ximena Porcasi, Camilo H. Rotela, María V. Introini, Nicolás Frutos, Sofía Lanfri, Gonzalo Peralta, Estefanía A. De Elia, Mario A. Lanfri, Carlos M. Scavuzzo

S31-S42

01-09-2012

https://doi.org/10.4081/gh.2012.120

2812

PDF: 1428
Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa

Anna-Sofie Stensgaard, Mark Booth, Grigory Nikulin, Nicky McCreesh

31-03-2016

https://doi.org/10.4081/gh.2016.406

3786

PDF: 1314

HTML: 1054
There is more to satellite imagery than meets the eye

Robert Bergquist, John B. Malone

31-05-2022

https://doi.org/10.4081/gh.2022.1106

2278

PDF: 459

HTML: 19
Spatial patterns of intestinal parasite infections among children and adolescents in some indigenous communities in Argentina

Carlos Matías Scavuzzo, Micaela Natalia Campero, Rosana Elizabeth Maidana, María Georgina Oberto, María Victoria Periago, Ximena Porcasi

28-05-2024

https://doi.org/10.4081/gh.2024.1279

2315

PDF: 496

HTML: 76
Monitoring techniques in the capture and adoption of dogs and cats

Jason Onell Ardila Galvis, Oswaldo Santos Baquero, Ricardo Augusto Dias, Fernando Ferreira, Evelyn Nestori Chiozzotto, José Henrique Hildebrand Grisi-Filho

04-11-2015

https://doi.org/10.4081/gh.2015.339

3908

PDF: 1622

HTML: 1465
Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China

Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou

29-11-2016

https://doi.org/10.4081/gh.2016.453

3712

PDF: 1288

HTML: 1132
Modelling of the distribution of Biomphalaria glabrata and Biomphalaria straminea in the metropolitan region of Recife, Pernambuco, Brazil

Verônica Santos Barbosa, Ricardo José de Paula Souza e Guimarães, Rodrigo Moraes Loyo, Constança SimÃµes Barbosa

25-11-2016

https://doi.org/10.4081/gh.2016.490

2737

PDF: 1101

HTML: 1599
Vector-borne diseases in a warmer world: Will they stay or will they go?

Robert Bergquist, Anna-Sofie Stensgaard, Laura Rinaldi

07-05-2018

https://doi.org/10.4081/gh.2018.699

2511

PDF: 1121

HTML: 211
Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites

Carla V.V. Rollemberg, Marília M.B.L. Silva, Karla C. Rollemberg, Fábio R. Amorim, Nayanna M.N. Lessa, Marcos D.S. Santos, Acácia M.B. Souza, Enaldo V. Melo, Roque P. Almeida, Ã‚ngela M. Silva, Guilherme L. Werneck, Mario A. Santos, José A.P. Almeida, Amélia R. Jesus

18-05-2015

https://doi.org/10.4081/gh.2015.303

4550

PDF: 1810

HTML: 1078
Climate change and species distribution: possible scenarios for thermophilic ticks in Romania

Cristian DomÈ™a, Attila D. Sándor, Andrei D. Mihalca

31-05-2016

https://doi.org/10.4081/gh.2016.421

2741

PDF: 1255

HTML: 1673
Leptospirosis and its spatial and temporal relations with natural disasters in six municipalities of Santa Catarina, Brazil, from 2000 to 2016

Ana Elisa Pereira Silva, Francisco Chiaravalloti Neto, Gleice Margarete de Souza Conceição

26-11-2020

https://doi.org/10.4081/gh.2020.903

2450

PDF: 930

HTML: 53
The geo-spatial perspective of biological, social and environmental determinants of early pregnancy anaemia in rural Sri Lanka: Need for context-specific approaches on prevention

Gayani Shashikala Amarasinghe, Thilini Chanchala Agampodi, Vasana Mendis, Suneth Buddhika Agampodi

29-11-2022

https://doi.org/10.4081/gh.2022.1110

1204

PDF: 714

HTML: 29

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