Additional file 1. Data extracted from the studies reviewed. ,,,,,,,,,,,,,,,
Author.s,Title,Year,WHO.region,Country,Specific.region.town.area,Disease,Data.source,Spatial.resolution,Spatial.scale,Temporal.resolution,Time.span,Model.type,Model.type2,Out.of.sample.validation,Evaluation.metric
"Garske, T.Van Kerkhove, M. D.Yactayo, S.Ronveaux, O.Lewis, R. F.Staples, J. E.Perea, W.Ferguson, N. M.Yellow Fever Expert, Comm",Yellow Fever in Africa: Estimating the Burden of Disease and Impact of Mass Vaccination from Outbreak and Serological Data,2014,Africa,Africa,,YF,Geolocation of disease occurrence,Province,Continental,Aggregated,1987-01-01~2011-12-31,Statistical fixed effect,GLM,No,"AUC, BIC"
Mao et al.,Mapping intra-urban transmission risk of dengue fever with big hourly cellphone data,2016,Western Pacific,China,Shenzhen city,Dengue,Geolocation of disease occurrence,Point/pixel,Sub-national,Aggregated,2013-02-01~2014-12-31,Machine learning,RF,Yes,"AUC, ROC"
Messina et al. ,MAPPING GLOBAL SEASONAL SUITABILITY FOR ZIKA VIRUS TRANSMISSION,2016,Global,Global,-,Zika,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,1951-01-01~2016-12-31,Machine learning,BRT,Yes,AUC
"Perkins, T. A.Huber, J. H.Tran, Q. M.Oidtman, R. J.Walters, M. K.Siraj, A. S.Moore, S. M.",Burden is in the eye of the beholder: Sensitivity of yellow fever disease burden estimates to modeling assumptions,2021,Africa,Africa,,YF,"Aggregated case count, Geolocation of disease occurrence, Survey",Province,Continental,Aggregated,1980-01-01~2014-12-31,Machine learning,Mixed,Yes,Log likelihood
"Shearer, F. M.Longbottom, J.Browne, A. J.Pigott, D. M.Brady, O. J.Kraemer, M. U. G.Marinho, F.Yactayo, S.Araujo, V. E. M. deNobrega, A. A. daFullman, N.Ray, S. E.Mosser, J. F.Stanaway, J. D.Lim, S. S.Reiner, R. C., Jr.Moyes, C. L.Hay, S. I.Golding, N.",Existing and potential infection risk zones of yellow fever worldwide: a modelling analysis,2018,Global,Global,,YF,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,1970-01-01~2016-12-31,Machine learning,BRT,Yes,"ROC, R-squared"
Akhtar et al. ,A dynamic neural network model for predicting risk of Zika in real time,2019,Americas,Americas,-,Zika,Aggregated case count,Country,Continental,Weekly,2015-06-01~2016-12-31,Machine learning,Neural network,Yes,"Accuracy, ROC"
"Servadio, J. L.Munoz-Zanzi, C.Convertino, M.",Environmental determinants predicting population vulnerability to high yellow fever incidence,2022,Americas,Brazil,,YF,Aggregated case count,City/district,National,Aggregated,2000-01-01~2017-12-31,Statistical fixed effect,GLM,No,ROC
"Soliman, M.Lyubchich, V.Gel, Y. R.",Ensemble forecasting of the Zika space-time spread with topological data analysis,2020,Americas,Brazil,Brazil,Zika,Aggregated case count,Province,National,Monthly,2017-01-01~2018-12-31,Machine learning,Mixed,Yes,"Correlation coefficient, Mean absolute error (MAE), Root mean square error (RMSE)"
"Stephenson, C.Coker, E.Wisely, S.Liang, S.Dinglasan, R. R.Lednicky, J. A.",Imported Dengue Case Numbers and Local Climatic Patterns Are Associated with Dengue Virus Transmission in Florida USA,2022,Americas,USA,Florida state,Dengue,Aggregated case count,City/district,Sub-national,Yearly,2009-01-01~2019-12-31,Statistical fixed effect,GLM,Yes,"AIC, Kappa statistic"
"O'Reilly, K. M.Hendrickx, E.Kharisma, D. D.Wilastonegoro, N. N.Carrington, L. B.Elyazar, I. R. F.Kucharski, A. J.Lowe, R.Flasche, S.Pigott, D. M.Reiner, R. C.Edmunds, W. J.Hay, S. I.Yakob, L.Shepard, D. S.Brady, O. J.",Estimating the burden of dengue and the impact of release of wMel Wolbachia-infected mosquitoes in Indonesia: a modelling study,2019,South-East Asia,Indonesia,,Dengue,"Aggregated case count, Geolocation of disease occurrence, Survey",Point/pixel,National,Aggregated,1960-01-01~2015-12-31,Machine learning,BRT,Yes,AUC
Benkimoun et al.,Dynamic mapping of dengue basic reproduction number,2021,Africa,Reunion Island,-,Dengue,Aggregated case count,City/district,National,Weekly,2018-01-01~2018-12-31,Mechanistic,Compartmental,No,Correlation coefficient
"Yu, H. L.Lee, C. H.Chien, L. C.",A spatiotemporal dengue fever early warning model accounting for nonlinear associations with hydrological factors: a Bayesian maximum entropy approach,2016,Western Pacific,Taiwan,"Tainan City, Kaohsiung City, and Pingtung County",Dengue,Aggregated case count,City/district,Sub-national,Weekly,1998-01-01~2012-12-31,Statistical mixed effect,DLNM,Yes,"Correlation coefficient, Root mean square error (RMSE)"
"Gardner, L. M.Bota, A.Gangavarapu, K.Kraemer, M. U. G.Grubaugh, N. D.",Inferring the risk factors behind the geographical spread and transmission of Zika in the Americas,2018,Americas,Americas,,Zika,Aggregated case count,Country,Continental,Monthly,2015-07-01~2016-12-31,Mechanistic,Others,No,ROC
Li et al.,Climate-driven variation in mosquito density predicts the spatiotemporal dynamics of dengue,2019,Western Pacific,China,-,Dengue,Aggregated case count,City/district,National,Biweekly,2005-01-01~2015-12-31,Mechanistic,Compartmental,Yes,Root mean square error (RMSE)
"Jean, K.Hamlet, A.Benzler, J.Cibrelus, L.Gaythorpe, K. A. M.Sall, A.Ferguson, N. M.Garske, T.",Eliminating yellow fever epidemics in Africa: Vaccine demand forecast and impact modelling,2020,Africa,Africa,,YF,"Aggregated case count, Geolocation of disease occurrence, Survey",Province,Continental,Aggregated,1984-01-01~2013-12-31,Statistical fixed effect,GLM,Yes,AUC
"Messina, J. P.Brady, O. J.Golding, N.Kraemer, M. U. G.Wint, G. R. W.Ray, S. E.Pigott, D. M.Shearer, F. M.Johnson, K.Earl, L.Marczak, L. B.Shirude, S.Davis Weaver, N.Gilbert, M.Velayudhan, R.Jones, P.Jaenisch, T.Scott, T. W.Reiner, R. C., Jr.Hay, S. I.",The current and future global distribution and population at risk of dengue,2019,Global,Global,,Dengue,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,1960-01-01~2015-12-31,Machine learning,BRT,Yes,AUC
"Shafie, A.",Evaluation of the Spatial Risk Factors for High Incidence of Dengue Fever and Dengue Hemorrhagic Fever Using GIS Application,2011,Western Pacific,Malaysia,"developed model for Georgetown, predicted in for Penang island",Dengue,Aggregated case count,Point/pixel,Sub-national,Aggregated,2000-01-01~2004-12-31,Statistical fixed effect,GLM,No,"Accuracy, Contingency table"
Anno et al. ,Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning,2019,Western Pacific,Taiwan,- ,Dengue,Aggregated case count,Point/pixel,National,Aggregated,1998-01-01~2015-12-31,Machine learning,Neural network,Yes,Confusion matrix
"Rotela, C.Fouque, F.Lamfri, M.Sabatier, P.Introini, V.Zaidenberg, M.Scavuzzo, C.",Space-time analysis of the dengue spreading dynamics in the 2004 Tartagal outbreak Northern Argentina,2007,Americas,Argentina,North - Tartagal,Dengue,Geolocation of disease occurrence,Interpolated,Sub-national,Aggregated,2004-01-01~2004-12-31,Machine learning,Other decision tree,No,Correlation coefficient
"Yip, S.Him, N. C.Jamil, N. I.He, D. H.Sahu, S. K.",Spatio-temporal detection for dengue outbreaks in the Central Region of Malaysia using climatic drivers at mesoscale and synoptic scale,2022,Western Pacific,Malaysia,"Central region (Nine Selangor districts and two federal territories, namely Kuala Lumpur and Putrajaya)",Dengue,Aggregated case count,City/district,Sub-national,Weekly,2013-01-01~2019-12-31,Statistical mixed effect,GLMM,Yes,"Mean absolute error (MAE), Others (Others), Root mean square error (RMSE)"
"Teurlai, M.Menkes, C. E.Cavarero, V.Degallier, N.Descloux, E.Grangeon, J. P.Guillaumot, L.Libourel, T.Lucio, P. S.Mathieu-Daude, F.Mangeas, M.",Socio-economic and Climate Factors Associated with Dengue Fever Spatial Heterogeneity: A Worked Example in New Caledonia,2015,Western Pacific,New Caledonia,New Caledonia (33 communes),Dengue,Aggregated case count,City/district,National,Yearly,1995-01-01~2012-09-30,Machine learning,SVM,Yes,Root mean square error (RMSE)
"Sanchez-Hernandez, D.Aguirre-Salado, C. A.Sanchez-Diaz, G.Aguirre-Salado, A. I.Soubervielle-Montalvo, C.Reyes-Cardenas, O.Reyes-Hernandez, H.Santana-Juarez, M. V.",Modeling spatial pattern of dengue in North Central Mexico using survey data and logistic regression,2021,Americas,Mexico,Huasteca Potosina region,Dengue,Geolocation of disease occurrence,Point/pixel,Sub-national,Aggregated,2010-01-01~2014-12-31,Statistical fixed effect,GLM,No,AUC
"Sharmin, S.Glass, K.Viennet, E.Harley, D.",Geostatistical mapping of the seasonal spread of under-reported dengue cases in Bangladesh,2018,South-East Asia,Bangladesh,Bangladesh,Dengue,Aggregated case count,City/district,National,Monthly,2000-01-01~2009-12-31,Statistical mixed effect,GLMM,No,DIC
"Hamlet, A.Gaythorpe, K. A. M.Garske, T.Ferguson, N. M.",Seasonal and inter-annual drivers of yellow fever transmission in South America,2021,Americas,South America,,YF,Geolocation of disease occurrence,Province,Continental,Monthly,2003-01-01~2016-12-31,Statistical mixed effect,GLMM,Yes,"AIC, R-squared"
"Jacome, G.Vilela, P.Yoo, C.",Present and future incidence of dengue fever in Ecuador nationwide and coast region scale using species distribution modeling for climate variability's effect,2019,Americas,Ecuador,,Dengue,Geolocation of disease occurrence,Point/pixel,National,Monthly,2013-01-01~2015-12-31,Machine learning,MAXENT,Yes,AUC
"Rotejanaprasert, C.Ekapirat, N.Areechokchai, D.Maude, R. J.",Bayesian spatiotemporal modeling with sliding windows to correct reporting delays for real-time dengue surveillance in Thailand,2020,South-East Asia,Thailand,Bangkok,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2010-01-01~2010-12-31,Statistical mixed effect,GLMM,No,Others (Others)
"Solis-Navarro, M.Vargas-De-Leon, C.Guzman-Martinez, M.Corzo-Gomez, J.",A Bayesian Prediction Spatial Model for Confirmed Dengue Cases in the State of Chiapas Mexico,2022,Americas,Mexico,Chiapas,Dengue,Geolocation of disease occurrence,City/district,Sub-national,Aggregated,2019-01-01~2019-08-31,Statistical fixed effect,GLM,Yes,Correlation coefficient
"Hamlet, A.Ramos, D. G.Gaythorpe, K. A. M.Romano, A. P. M.Garske, T.Ferguson, N. M.",Seasonality of agricultural exposure as an important predictor of seasonal yellow fever spillover in Brazil,2021,Americas,Brazil,,YF,Aggregated case count,City/district,National,Monthly,2003-01-01~2018-12-31,Machine learning,RF,Yes,"AUC, Brier score"
"Nsoesie EO, Kraemer MU, Golding N, Pigott DM, Brady OJ, Moyes CL, Johansson MA, Gething PW, Velayudhan R, Khan K, Hay SI, Brownstein JS.","Global distribution and environmental suitability for chikungunya virus, 1952 to 2015",2016,Global,Global,,CHIKV,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,1952-01-01~2015-12-31,Machine learning,BRT,No,Not specified
Chadsuthi et al.,Travel distance and human movement predict paths of emergence and spatial spread of chikungunya in Thailand,2018,South-East Asia,Thailand,151 districts in Southern Thailand,CHIKV,Aggregated case count,City/district,Sub-national,Weekly,2008-08-01~2010-12-31,Mechanistic,Metapopulation,No,"Correlation coefficient, Log likelihood"
Withanage et al,Multivariate spatio-temporal approach to identify vulnerable localities in dengue risk areas using Geographic Information System (GIS),2021,South-East Asia,Sri Lanka,Gampaha district,Dengue,NA,Point/pixel,Sub-national,Seasonally,2014-01-01~2018-06-30,Statistical fixed effect,GLM,No,Not specified
"Yu, H. L.Angulo, J. M.Cheng, M. H.Wu, J.Christakos, G.",An online spatiotemporal prediction model for dengue fever epidemic in Kaohsiung (Taiwan),2014,Western Pacific,Taiwan,Kaohsiung,Dengue,Aggregated case count,City/district,Sub-national,Weekly,2002-01-01~2011-12-31,Mechanistic,Metapopulation,Yes,"Correlation coefficient, Others (Others)"
"Torres-Signes, A.Dip, J. A.",A Bayesian Functional Methodology for Dengue Risk Mapping in Latin America and the Caribbean,2021,Americas,Americas,,Dengue,Aggregated case count,Country,Continental,Yearly,1998-01-01~2018-12-31,Statistical mixed effect,GLMM,No,Others (Others)
Ferdousi et al. ,A Windowed Correlation-Based Feature Selection Method to Improve Time Series Prediction of Dengue Fever Cases,2021,Americas,Brazil,,Dengue,Aggregated case count,City/district,National,Weekly,2010-01-01~2019-12-31,Machine learning,Neural network,Yes,Mean absolute error (MAE)
"Siddiq, A.Shukla, N.Pradhan, B.",Spatio-temporal modelling of dengue fever cases in Saudi Arabia using socio-economic climatic and environmental factors,2022,Eastern Mediterranean,Saudi Arabia,Jeddah City,Dengue,Aggregated case count,City/district,Sub-national,Yearly,2012-01-01~2018-12-31,Machine learning,Others - machine learning,Yes,Confusion matrix
"O'Reilly, K. M.Lowe, R.Edmunds, W. J.Mayaud, P.Kucharski, A.Eggo, R. M.Funk, S.Bhatia, D.Khan, K.Kraemer, M. U. G.Wilder-Smith, A.Rodrigues, L. C.Brasil, P.Massad, E.Jaenisch, T.Cauchemez, S.Brady, O. J.Yakob, L.",Projecting the end of the Zika virus epidemic in Latin America: a modelling analysis,2018,Americas,Americas,,Zika,Aggregated case count,City/district,Continental,Weekly,2015-01-01~2017-08-31,Mechanistic,Metapopulation,Yes,Bayes factor
"Mukhsar,Ahmar, A. S.El Safty, M. A.El-Khawaga, H.El Sayed, M.",Bayesian Convolution for Stochastic Epidemic Model,2022,South-East Asia,Indonesia,Kendari city,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2016-01-01~2018-12-31,Mechanistic,Compartmental,No,Not specified
"Escobar, L. E.Qiao, H. J.Peterson, A. T.",Forecasting Chikungunya spread in the Americas via data-driven empirical approaches,2016,Americas,Americas,,CHIKV,Aggregated case count,Country,Continental,Monthly,NA,Machine learning,RF,No,Others (Error based)
"Cauchemez, S.Ledrans, M.Poletto, C.Quenel, P.de Valk, H.Colizza, V.Boelle, P. Y.",Local and regional spread of chikungunya fever in the Americas,2014,Americas,Americas,,CHIKV,Aggregated case count,Country,Continental,Not specified,2014-01-01~2014-12-31,Statistical fixed effect,Bespoke,No,Log likelihood
"Campbell, K. M.Haldeman, K.Lehnig, C.Munayco, C. V.Halsey, E. S.Laguna-Torres, V. A.Yagui, M.Morrison, A. C.Lin, C. D.Scott, T. W.",Weather Regulates Location Timing and Intensity of Dengue Virus Transmission between Humans and Mosquitoes,2015,Americas,Peru,,Dengue,Aggregated case count,City/district,National,Aggregated,1994-01-01~2012-12-31,Machine learning,Other decision tree,No,Sensitivity and specificity
"Zhu, GuangHuLiu, TaoXiao, JianPengZhang, BingSong, TieZhang, YongHuiLin, LiFengPeng, ZhiQiangDeng, AiPingMa, WenJunHao, YuanTao",Effects of human mobility temperature and mosquito control on the spatiotemporal transmission of dengue,2019,Western Pacific,China,Pearl River Delta region in Guangdong Province (seven prefecture-level cities),Dengue,Aggregated case count,City/district,Sub-national,Daily,2014-07-01~2014-12-31,Mechanistic,Metapopulation,No,R-squared
"Sriprom, M.Chalvet-Monfray, K.Chaimane, T.Vongsawat, K.Bicout, D. J.",Monthly district level risk of dengue occurrences in Sakon Nakhon Province Thailand,2010,South-East Asia,Thailand,Sakon Nakhon Province,Dengue,Aggregated case count,City/district,Sub-national,Seasonally,2005-01-01~2007-12-31,Statistical mixed effect,GLMM,No,"AIC, Others (Error based)"
Douwes-Schultz and Schmidt,Zero-state coupled Markov switching count models for spatio-temporal infectious disease spread,2021,Americas,Brazil,Rio de Janeiro,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2011-01-01~2017-12-31,Statistical mixed effect,GLMM,Yes,WAIC
"Mondal, J.Das, A.Khatun, R.",Predicting climate change and its impact on future occurrences of vector-borne diseases in West Bengal India,2021,South-East Asia,India,West Bengal state,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2015-01-01~2016-12-31,Statistical fixed effect,GWR,No,R-squared
Bhatt et al. ,The global distribution and burden of dengue,2013,Global,Global,,Dengue,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,1960-01-01~2012-12-31,Machine learning,BRT,Yes,"AUC, QAIC, Others (Confusion matrix based), Sensitivity and specificity"
Meisner et al.,A novel approach to modeling epidemic vulnerability applied to Aedes aegypti-vectored diseases in Peru,2021,Americas,Peru,-,"Dengue, Zika, CHIKV",Aggregated case count,City/district,National,Weekly,2016-01-01~2018-09-30,Statistical mixed effect,GLMM,Yes,ROC
"Samy, A. M.Thomas, S. M.El-Wahed, A. A.Cohoon, K. P.Peterson, A. T.",Mapping the global geographic potential of Zika virus spread,2016,Global,Global,,Zika,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,NA,Machine learning,MAXENT,Yes,ROC
"Wu, PeiChihLay, JinnGueyGuo, HowRanLin, ChuanYaoLung, ShihChunSu, HueyJen",Higher temperature and urbanization affect the spatial patterns of dengue fever transmission in subtropical Taiwan,2009,Western Pacific,Taiwan,Taiwan,Dengue,Aggregated case count,City/district,National,Aggregated,1998-01-01~2006-12-31,Statistical fixed effect,GLM,No,ROC
"Siqueira Junior, J. B.Maciel, I. J.Barcellos, C.Souza, W. V.Carvalho, M. S.Nascimento, N. E.Oliveira, R. M.Morais Neto, O.Martelli, C. M. T.",Spatial point analysis based on dengue surveys at household level in central Brazil,2008,Americas,Brazil,Goiania,Dengue,Survey,Interpolated,Sub-national,Aggregated,2001-01-01~2001-02-28; 2002-01-01~2002-02-28,Statistical fixed effect,GAM,No,Not specified
"Tjaden, N. B.Suk, J. E.Fischer, D.Thomas, S. M.Beierkuhnlein, C.Semenza, J. C.",Modelling the effects of global climate change on Chikungunya transmission in the 21<sup>st</sup> century,2017,Global,Global,,CHIKV,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,1996-01-01~2014-12-31,Machine learning,MAXENT,Yes,AUC
Jiang et al.,Mapping the transmission risk of Zika virus using machine learning models,2018,Global,Global,-,Zika,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,1951-01-01~2017-12-31,Machine learning,Mixed,Yes,AUC
"Lowe, R.Coelho, C. A. S.Barcellos, C.Carvalho, M. S.Catao, R. de C.Coelho, G. E.Ramalho, W. M.Bailey, T. C.Stephenson, D. B.Rodo, X.",Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil,2016,Americas,Brazil,,Dengue,Aggregated case count,City/district,National,Monthly,2000-01-01~2013-12-31,Statistical mixed effect,GLMM,Yes,ROC
Honorato et al.,Spatial analysis of distribution of dengue cases in Espirito Santo Brazil in 2010: use of Bayesian model,2014,Americas,Brazil,Esp?rito Santo,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2010-01-01~2010-12-31,Statistical mixed effect,GLMM,No,"DIC, Mean absolute error (MAE)"
"Rogers, D. J.Suk, J. E.Semenza, J. C.",Using global maps to predict the risk of dengue in Europe,2014,Europe,Europe,Europe,Dengue,Geolocation of disease occurrence,Point/pixel,Continental,Aggregated,1960-01-01~2009-12-31,Machine learning,Others - machine learning,Yes,"AIC, QAIC, Kappa statistic"
"Lowe, R.Bailey, T. C.Stephenson, D. B.Jupp, T. E.Graham, R. J.Barcellos, C.SaCarvalho, M.",The development of an early warning system for climate-sensitive disease risk with a focus on dengue epidemics in Southeast Brazil,2012,Americas,Brazil,Southeast region,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2001-01-01~2009-12-31,Statistical mixed effect,GLMM,Yes,ROC
Machado-Machado,Empirical mapping of suitability to dengue fever in Mexico using species distribution modeling,2012,Americas,Mexico,-,Dengue,Aggregated case count,City/district,National,Aggregated,1999-01-01~2006-12-31,Machine learning,MAXENT,Yes,"AUC, ROC"
Hu et al.,Spatial patterns and socioecological drivers of dengue fever transmission in Queensland Australia,2012,Western Pacific,Australia,Queensland,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2002-01-01~2005-12-31,Statistical mixed effect,GLMM,No,DIC
"Yu, HwaLungYang, ShangJenYen, HsinJuChristakos, G.",A spatio-temporal climate-based model of early dengue fever warning in southern Taiwan. (Special Issue: Climate: patterns changes and impacts.),2011,Western Pacific,Taiwan,"Southern Taiwan (the tropical area of Tainan and Kaohsiung cities, and the Tainan, Kaohsiung, and Pingtung counties)",Dengue,Aggregated case count,City/district,Sub-national,Weekly,2002-01-01~2007-12-31,Statistical mixed effect,GLMM,Yes,"Others (Error based), Visual comparison"
Khormi and Kumar,Modeling dengue fever risk based on socioeconomic parameters nationality and age groups: GIS and remote sensing based case study,2011,Eastern Mediterranean,Saudi Arabia,Jeddah County,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2006-01-01~2010-12-31,Statistical fixed effect,GWR,No,AIC
Lowe et al.,Spatio-temporal modelling of climate-sensitive disease risk: towards an early warning system for dengue in Brazil. (Special Issue: Geoinformatics for environmental surveillance - StatGIS Pebesma.),2011,Americas,Brazil,-,Dengue,Aggregated case count,City/district,National,Monthly,2001-01-01~2008-12-31,Statistical mixed effect,GLMM,No,"Contingency table, AIC"
Kraemer et al.,Spread of yellow fever virus outbreak in Angola and the Democratic Republic of the Congo 2015-16: a modelling study,2017,Africa,"Angola, DR Congo",-,YF,Aggregated case count,City/district,National,Weekly,2015-12-01~2016-08-31,Statistical fixed effect,GLM,Yes,Others (Others)
Martinez-Bello et al.,Spatiotemporal modeling of relative risk of dengue disease in Colombia,2018,Americas,Colombia,Bucaramanga city,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2009-01-01~2015-12-31,Statistical mixed effect,GLMM,Yes,WAIC
"Nikita, AgarwalKoti, S. R.Sameer, SaranKumar, A. S.",Data mining techniques for predicting dengue outbreak in geospatial domain using weather parameters for New Delhi India,2018,South-East Asia,India,New Delhi,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2006-01-01~2015-09-30,Statistical fixed effect and Machine learning,GLM and K-means clustering,Yes,"R-squared, Visual comparison"
"Shuchi, MalaJat, M. K.",Spatial modelling of interactions between dengue incidences and changing climate by integrating ann technique with GIS,2018,South-East Asia,India,Delhi,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2006-01-01~2013-12-31,Machine learning,Neural network,Yes,"AUC, Root mean square error (RMSE)"
"Hamlet, A.Jean, K.Perea, W.Yactayo, S.Biey, J.Kerkhove, M. vanFerguson, N.Garske, T.",The seasonal influence of climate and environment on yellow fever transmission across Africa,2018,Africa,Africa,,YF,Geolocation of disease occurrence,Province,Continental,Monthly,1971-01-01~2015-12-31,Statistical fixed effect,GLM,Yes,"AIC, ROC"
"Lauer, S. A.Sakrejda, K.Ray, E. L.Keegan, L. T.Bi, QiFangSuangtho, P.Hinjoy, S.Iamsirithaworn, S.Suthachana, S.Laosiritaworn, Y.Cummings, D. A. T.Lessler, J.Reich, N. G.",Prospective forecasts of annual dengue hemorrhagic fever incidence in Thailand 2010-2014,2018,South-East Asia,Thailand,,Dengue,Aggregated case count,Province,National,Yearly,2000-01-01~2014-12-31,Statistical mixed effect,GAMM,Yes,"Mean absolute error (MAE), ROC"
"Rogers, D. J.Wilson, A. J.Hay, S. I.Graham, A. J.",The global distribution of yellow fever and dengue. (Global mapping of infectious diseases: methods examples and emerging applications.),2006,Global,Global,,Dengue,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,1960-01-01~2005-12-31,Machine learning,Others - machine learning,Yes,"AIC, Kappa statistic"
"Rogers, D. J.Wilson, A. J.Hay, S. I.Graham, A. J.",The global distribution of yellow fever and dengue. (Global mapping of infectious diseases: methods examples and emerging applications.),2006,Global,Global,,YF,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,1960-01-01~2005-12-31,Machine learning,Others - machine learning,Yes,"AIC, Kappa statistic"
"Rahman, S. A.Rahim, A.Mallongi, A.",Forecasting of dengue disease incident risks using non-stationary spatial of geostatistics model in Bone Regency Indonesia,2017,South-East Asia,Indonesia,Bone Regency South Sulawesi province,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,NA,Statistical fixed effect,GLM,No,Others (Error based)
Martinez-Bello et al.,Relative risk estimation of dengue disease at small spatial scale,2017,Americas,Colombia,Bucaramanga city,Dengue,Aggregated case count,City/district,Sub-national,Yearly,2008-01-01~2015-12-31,Statistical mixed effect,GLMM,No,DIC
"Teng, YueBi, DeHuaXie, GuiGangJin, YuanHuang, YongLin, BaiHanAn, XiaoPingTong, YiGangFeng, Dan",Model-informed risk assessment for Zika virus outbreaks in the Asia-Pacific regions,2017,Western Pacific,Asia-Pacific,,Zika,Aggregated case count,Country,Continental,Monthly,2016-10-01~2017-01-31,Machine learning,BRT,Yes,ROC
Liu et al.,Enhancing fine-grained intra-urban dengue forecasting by integrating spatial interactions of human movements between urban regions,2020,Western Pacific,China,Guangzhou city,Dengue,Aggregated case count,City/district,Sub-national,Weekly,2015-01-01~2019-09-30,Machine learning,Mixed,Yes,Correlation coefficient
Lowe et al.,Quantifying the added value of climate information in a spatio-temporal dengue model,2016,South-East Asia,Thailand,-,Dengue,Aggregated case count,Province,National,Monthly,1982-01-01~2013-12-31,Statistical mixed effect,GLMM and GAMM,No,"DIC, Root mean square error (RMSE)"
"Nirosha, SumanasingheMikler, A.Chetan, TiwariJayantha, Muthukudage",Geo-statistical dengue risk model using GIS techniques to identify the risk prone areas by linking rainfall and population density factors in Sri Lanka,2016,South-East Asia,Sri Lanka,Sri Lanka (all 25 districts),Dengue,Aggregated case count,City/district,National,Monthly,2011-01-01~2015-12-31,Statistical fixed effect,GWR,No,"AIC, Others (Others), R-squared"
Cattarino et al.,MAPPING GLOBAL VARIATION IN DENGUE TRANSMISSION INTENSITY AND ASSESSING THE IMPACT OF CONTROL STRATEGIES,2020,Global,Global,-,Dengue,"Aggregated case count, Survey",Point/pixel,Global,Aggregated,NA,Machine learning,RF,Yes,R-squared
"Wu, WeiRen, HongYanLu, LiAng",Increasingly expanded future risk of dengue fever in the Pearl River Delta China,2021,Western Pacific,China,Pearl River Delta ,Dengue,Aggregated case count,Point/pixel,Sub-national,Aggregated,2003-01-01~2014-12-31,Machine learning,MAXENT,Yes,AUC
"Liu, KangYin, LingZhang, MengKang, MinDeng, AiPingLi, QingLanSong, Tie",Facilitating fine-grained intra-urban dengue forecasting by integrating urban environments measured from street-view images,2021,Western Pacific,China,Guangzhou city,Dengue,Aggregated case count,City/district,Sub-national,Weekly,2015-01-01~2019-09-30,Machine learning,Mixed,Yes,Correlation coefficient
Ahmad et al.,Spatial modeling of Dengue prevalence and kriging prediction of Dengue outbreak in Khyber Pakhtunkhwa (Pakistan) using presence only data,2020,Eastern Mediterranean,Pakistan,Khyber Pakhtunkhwa,Dengue,Geolocation of disease occurrence,Interpolated,Sub-national,Aggregated,2017-07-01~2017-09-30,Statistical mixed effect,GLMM,Yes,Root mean square error (RMSE)
"Nunes, M. R.Faria, N. R.de Vasconcelos, J. M.Golding, N.Kraemer, M. U.de Oliveira, L. F.Azevedo Rdo, S.da Silva, D. E.da Silva, E. V.da Silva, S. P.Carvalho, V. L.Coelho, G. E.Cruz, A. C.Rodrigues, S. G.Vianez, J. L., Jr.Nunes, B. T.Cardoso, J. F.Tesh, R. B.Hay, S. I.Pybus, O. G.Vasconcelos, P. F.",Emergence and potential for spread of Chikungunya virus in Brazil,2015,Americas,Brazil,,CHIKV,Geolocation of disease occurrence,City/district,National,Aggregated,2014-04-01~2014-09-30,Mechanistic,Network model,No,Not specified
"Johansson, M. A.Powers, A. M.Pesik, N.Cohen, N. J.Erin Staples, J.",Nowcasting the spread of Chikungunya Virus in the Americas,2014,Global,Global,,CHIKV,Aggregated case count,City/district,Global,Monthly,2013-12-01~2014-04-30,Mechanistic,Others,No,Not specified
"Sedda, L.Taylor, B. M.Eiras, A. E.Marques, J. T.Dillon, R. J.",Using the intrinsic growth rate of the mosquito population improves spatio-temporal dengue risk estimation,2020,Americas,Brazil,Caratinga city,Dengue,Geolocation of disease occurrence,Point/pixel,Sub-national,Aggregated,2010-11-01~2011-07-31,Statistical mixed effect,GLMM,Yes,"DIC, WAIC"
Fan and Liu,Potential impacts of climate change on dengue fever distribution using RCP scenarios in China,2019,Western Pacific,China,- ,Dengue,Aggregated case count,City/district,National,Aggregated,2001-01-01~2016-12-31,Mechanistic,Others,No,Kappa statistic
Li et al.,Epidemic forest: a spatiotemporal model for communicable diseases,2019,Western Pacific,China,Guangzhou city,Dengue,Aggregated case count,Point/pixel,Sub-national,Weekly,2013-01-01~2013-12-31,Machine learning,Others - machine learning,No,Not specified
Cordeiro et al.,Spatial distribution of the risk of dengue fever in southeast Brazil 2006-2007,2011,Americas,Brazil,"Campinas municipality, S?o Paulo State",Dengue,Geolocation of disease occurrence,Interpolated,Sub-national,Aggregated,2006-10-01~2007-09-30,Statistical fixed effect,GAM,No,Not specified
Arboleda et al. ,Mapping environmental dimensions of dengue fever transmission risk in the Aburra Valley Colombia,2009,Americas,Colombia,"Bello, Medellin and Itagui municipalities",Dengue,Aggregated case count,Point/pixel,Sub-national,Aggregated,2008-01-01~2008-12-31,Machine learning,MAXENT,Yes,Others (Others)
"Nah, K.Mizumoto, K.Miyamatsu, Y.Yasuda, Y.Kinoshita, R.Nishiura, H.",Estimating risks of importation and local transmission of Zika virus infection,2016,Global,Global,,Zika,Geolocation of disease occurrence,Country,Global,Aggregated,2015-01-01~2016-12-31,Mechanistic,Others,No,ROC
"Abdur Rehman, N.Kalyanaraman, S.Ahmad, T.Pervaiz, F.Saif, U.Subramanian, L.",Fine-grained dengue forecasting using telephone triage services,2016,Eastern Mediterranean,Pakistan,Lahore,Dengue,Aggregated case count,City/district,Sub-national,Weekly,2012-01-01~2013-12-31,Machine learning,RF,Yes,"Correlation coefficient, Root mean square error (RMSE)"
"Ong, J.Liu, X.Rajarethinam, J.Kok, S. Y.Liang, S.Tang, C. S.Cook, A. R.Ng, L. C.Yap, G.",Mapping dengue risk in Singapore using Random Forest,2018,Western Pacific,Singapore,Singapore,Dengue,Aggregated case count,Point/pixel,National,Yearly,2006-01-01~2016-12-31,Machine learning,RF,Yes,"Correlation coefficient, Kappa statistic"
"Lowe, R.Barcellos, C.Coelho, C. A.Bailey, T. C.Coelho, G. E.Graham, R.Jupp, T.Ramalho, W. M.Carvalho, M. S.Stephenson, D. B.Rodo, X.",Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts,2014,Americas,Brazil,,Dengue,Aggregated case count,City/district,National,Monthly,2000-01-01~2013-12-31,Statistical mixed effect,GLMM,Yes,"Others (Others), ROC"
Costa et al.,Spatial distribution of dengue incidence and socio-environmental conditions in Campinas Sao Paulo State Brazil 2007,2013,Americas,Brazil,"Campinas municipality, S?o Paulo State",Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2007-01-01~2007-12-31,Statistical mixed effect,GLMM,No,DIC
"Ryan, S. J.Carlson, C. J.Tesla, B.Bonds, M. H.Ngonghala, C. N.Mordecai, E. A.Johnson, L. R.Murdock, C. C.",Warming temperatures could expose more than 1.3 billion new people to Zika virus risk by 2050,2021,Global,Global,,Zika,NA,Point/pixel,Global,Aggregated,NA,Mechanistic,Others,No,Visual comparison
Bett et al. ,Spatiotemporal analysis of historical records (2001-2012) on dengue fever in Vietnam and development of a statistical model for forecasting risk,2019,Western Pacific,Vietnam,-,Dengue,Aggregated case count,Province,National,Monthly,2001-01-01~2012-12-31,Statistical mixed effect,GLMM,Yes,Correlation coefficient
Martinez-Bello et al.,Joint Estimation of Relative Risk for Dengue and Zika Infections Colombia 2015-2016,2019,Americas,Colombia,Santander department,"Dengue, Zika",Aggregated case count,City/district,Sub-national,Aggregated,2015-10-01~2016-12-31,Statistical mixed effect,GLMM,No,"Correlation coefficient, DIC"
Acharya et al.,Modeling the spatially varying risk factors of dengue fever in Jhapa district Nepal using the semi-parametric geographically weighted regression model,2018,South-East Asia,Nepal,Jhapa district,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2011-01-01~2016-12-31,Statistical fixed effect,GWR,No,"AIC, R-squared"
Martinez-Bello et al.,Spatio-Temporal Modeling of Zika and Dengue Infections within Colombia,2018,Americas,Colombia,Santander department and Bucaramanga city,"Dengue, Zika",Aggregated case count,City/district,Sub-national,Weekly,2015-10-01~2016-12-31,Statistical mixed effect,GLMM,Yes,WAIC
Lee et al.,"The impact of climate suitability, urbanisation, and connectivity on the expansion of dengue in 21st century Brazil",2021,Americas,Brazil,-,Dengue,Aggregated case count,City/district,National,Yearly,2001-01-01~2020-12-31,Statistical fixed effect,GAM,No,"Brier score, ROC"
Colon-Gonzalez et al.,Limiting global-mean temperature increase to 1.5-2 degreeC could reduce the incidence and spatial spread of dengue fever in Latin America,2018,Americas,Latin America,-,Dengue,Aggregated case count,Point/pixel,Continental,Monthly,2001-01-01~2012-12-31,Statistical mixed effect,GAMM,Yes,Mean absolute error (MAE)
Acharya et al. ,Present and Future of Dengue Fever in Nepal: Mapping Climatic Suitability by Ecological Niche Model,2018,South-East Asia,Nepal,-,Dengue,"Aggregated case count, Geolocation of disease occurrence",Point/pixel,National,Aggregated,NA,Machine learning,MAXENT,Yes,AUC
"Mordecai, E. A.Cohen, J. M.Evans, M. V.Gudapati, P.Johnson, L. R.Lippi, C. A.Miazgowicz, K.Murdock, C. C.Rohr, J. R.Ryan, S. J.Savage, V.Shocket, M. S.Stewart Ibarra, A.Thomas, M. B.Weikel, D. P.",Detecting the impact of temperature on transmission of Zika dengue and chikungunya using mechanistic models,2017,Americas,Americas,,"Dengue, Zika, CHIKV",Aggregated case count,Point/pixel,Continental,Weekly,2014-01-01~2016-04-30,Mechanistic,Others,Yes,"BIC, Others (Error based)"
Colon-Gonzalez et al.,After the epidemic: Zika virus projections for Latin America and the Caribbean,2017,Americas,Latin America,-,Zika,Aggregated case count,Point/pixel,Continental,Monthly,2001-01-01~2012-12-31,Statistical mixed effect,GAMM,Yes,Mean absolute error (MAE)
"Sun, H.Dickens, B. L.Jit, M.Cook, A. R.Carrasco, L. R.",Mapping the cryptic spread of the 2015-2016 global Zika virus epidemic,2020,Global,Global,,Zika,Aggregated case count,Province,Global,Weekly,2015-01-01~2016-12-31,Mechanistic,Others,No,Correlation coefficient
Kaul et al.,Spatio-temporal spillover risk of yellow fever in Brazil,2018,Americas,Brazil,-,YF,Aggregated case count,City/district,National,Monthly,2001-01-01~2013-12-31,Machine learning,BRT,Yes,AUC
"Schmidt, A. M.Freitas, L. P.Cruz, O. G.Carvalho, M. S.",A poisson-multinomial spatial model for simultaneous outbreaks with application to arboviral diseases,2022,Americas,Brazil,Rio de Janeiro city,"Dengue, Zika, CHIKV",Aggregated case count,City/district,Sub-national,Aggregated,2015-08-01~2016-12-31,Statistical mixed effect,GLMM,Yes,"WAIC, Others (Others)"
Jaya and Folmer,Spatiotemporal high-resolution prediction and mapping: methodology and application to dengue disease,2022,South-East Asia,Indonesia,Bandung city,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2012-01-01~2018-12-31,Statistical mixed effect,GLMM,Yes,"Correlation coefficient, DIC, WAIC, Log likelihood"
Abd Naeeim et al.,A spatial-temporal study of dengue in Peninsular Malaysia for the year 2017 in two different space-time model,2020,Western Pacific,Malaysia,Peninsular Malaysia,Dengue,Aggregated case count,City/district,Sub-national,Weekly,2017-01-01~2017-12-31,Statistical mixed effect,GLMM,No,"DIC, Mean absolute error (MAE), Root mean square error (RMSE)"
"Chen, Y.Li, N.Lourenco, J.Wang, L.Cazelles, B.Dong, L.Li, B.Liu, Y.Jit, M.Bosse, N. I.Abbott, S.Velayudhan, R.Wilder-Smith, A.Tian, H.Brady, O. J.Cmmid Covid- Working Group",Measuring the effects of COVID-19-related disruption on dengue transmission in southeast Asia and Latin America: a statistical modelling study,2022,"South-East Asia, Americas","SE Asia, Latin America",,Dengue,Aggregated case count,Country,Continental,Monthly,2014-01-01~2020-12-31,Statistical mixed effect,DLNM,Yes,"DIC, Others (Others)"
"Romeo-Aznar, V.Picinini Freitas, L.Goncalves Cruz, O.King, A. A.Pascual, M.",Fine-scale heterogeneity in population density predicts wave dynamics in dengue epidemics,2022,Americas,Brazil,Rio de Janeiro city,Dengue,Aggregated case count,Point/pixel,Sub-national,Monthly,2010-01-01~2015-03-31,Mechanistic,Compartmental,No,Visual comparison
Wesolowski et al,Impact of human mobility on the emergence of dengue epidemics in Pakistan,2015,Eastern Mediterranean,Pakistan,Pakistan,Dengue,Aggregated case count,City/district,National,Daily,2013-06-01~2013-12-31,Mechanistic,Compartmental,No,Others (Others)
Vernal et acl,Geoclimatic demographic and socioeconomic characteristics related to dengue outbreaks in Southeastern Brazil: an annual spatial and spatiotemporal risk model over a 12-year period,2021,Americas,Brazil,Sao Paolo State,Dengue,Aggregated case count,City/district,Sub-national,Yearly,2007-01-01~2019-12-31,Statistical mixed effect,GLMM,No,DIC
"Ryan, S. J.Carlson, C. J.Mordecai, E. A.Johnson, L. R.",Global expansion and redistribution of Aedes-borne virus transmission risk with climate change,2019,Global,Global,,"Dengue, Zika, CHIKV",Aggregated case count,Point/pixel,Global,Weekly,2014-01-01~2016-04-30,Mechanistic,Others,Yes,"BIC, Others (Error based)"
"Mussumeci, E.Codeco Coelho, F.",Large-scale multivariate forecasting models for Dengue - LSTM versus random forest regression,2020,Americas,Brazil,"790 cities of 5 states (Rio de Janeiro, Espirito Santo, Paranß, Minas gerais and Cearß)",Dengue,Aggregated case count,City/district,Sub-national,Weekly,2010-01-01~2018-12-31,Machine learning,Mixed,Yes,"Mean squared error (MSE), MSE"
"Puggioni, G.Couret, J.Serman, E.Akanda, A. S.Ginsberg, H. S.",Spatiotemporal modeling of dengue fever risk in Puerto Rico,2020,Americas,Puerto Rico,,Dengue,Aggregated case count,City/district,National,Monthly,1990-01-01~2014-12-31,Statistical mixed effect,GLMM,Yes,"DIC, WAIC, Log likelihood"
de Thoisy et al.,Spatial epidemiology of yellow fever: Identification of determinants of the 2016-2018 epidemics and at-risk areas in Brazil,2020,Americas,Brazil,-,YF,Geolocation of disease occurrence,Interpolated,National,Aggregated,2016-07-01~2018-06-30,Machine learning,MAXENT,Yes,Not specified
"Ye, J.Moreno-Madrinan, M. J.",Comparing different spatio-temporal modeling methods in dengue fever data analysis in Colombia during 2012-2015,2020,Americas,Colombia,Magdalena River watershed,Dengue,Aggregated case count,City/district,Sub-national,Yearly,2012-01-01~2015-12-31,Statistical mixed effect,GLMM,Yes,"DIC, WAIC, Root mean square error (RMSE)"
"Jue Tao, L.Dickens, B. S. L.Yinan, M.Woon Kwak, C.Ching, N. L.Cook, A. R.",Explicit characterization of human population connectivity reveals long run persistence of interregional dengue shocks,2020,Western Pacific,"Malaysia, Singapore",,Dengue,Aggregated case count,City/district,National,Weekly,2010-01-01~2017-12-31,Statistical mixed effect,GLMM,Yes,"AIC, Mean absolute error (MAE)"
Costa et al.,Autoregressive spatial modeling of possible cases of dengue chikungunya and zika in the capital of northeastern brazil,2021,Americas,Brazil,"S?o Lu?s, the capital of the State of Maranh?o","Dengue, Zika, CHIKV",Aggregated case count,City/district,Sub-national,Aggregated,2015-01-01~2016-12-31,Statistical fixed effect,GLM,No,"AIC, BIC"
"Childs, M. L.Nova, N.Colvin, J.Mordecai, E. A.",Mosquito and primate ecology predict human risk of yellow fever virus spillover in Brazil,2019,Americas,Brazil,,YF,Aggregated case count,City/district,National,Monthly,2001-01-01~2016-12-31,Machine learning and Mechanistic,BRT and Others,Yes,"AUC, Others (Error based)"
Tesla et al.,Temperature drives Zika virus transmission,2018,Global,Global,,Zika,NA,Point/pixel,Global,Aggregated,NA,Mechanistic,Others,No,Visual comparison
"Gaythorpe, K. A. M.Jean, K.Cibrelus, L.Garske, T.",Quantifying model evidence for yellow fever transmission routes in Africa,2019,Africa,Africa,,YF,"Aggregated case count, Geolocation of disease occurrence, Survey",Province,Continental,Aggregated,1984-01-01~2017-12-31,Statistical fixed effect,GLM,No,"AUC, BIC"
Katy AM GaythorpeArran HamletK?vin JeanDaniel Garkauskas RamosLaurence CibrelusTini GarskeNeil Ferguson,The global burden of yellow fever,2021,"Americas, Africa","Africa, South America",,YF,"Aggregated case count, Geolocation of disease occurrence, Survey",Province,Continental,Aggregated,1984-01-01~2019-12-31,Statistical fixed effect,GLM,No,"AUC, BIC"
Henrik SaljeKishor Kumar PaulRepon PaulIsabel Rodriguez-BarraquerZiaur RahmanMohammad Shafiul AlamMahmadur RahmanHasan Mohammad Al-AminJames HeffelfingerEmily Gurley ,Nationally-representative serostudy of dengue in Bangladesh allows generalizable disease burden estimates,2019,South-East Asia,Bangladesh,,Dengue,Survey,Point/pixel,National,Aggregated,2014-08-01~2016-01-31,Statistical mixed effect,GLMM,Yes,"Correlation coefficient, Mean absolute error (MAE)"
Caminade et al.,Global risk model for vector-borne transmission of Zika virus reveals the role of El Ni±o 2015,2017,Global,Global,,Zika,Aggregated case count,Point/pixel,Global,Aggregated,1980-01-01~2015-12-31,Mechanistic,Others,No,Visual comparison
"Feldstein, L. R.Brownstein, J. S.Brady, O. J.Hay, S. I.Johansson, M. A.",Dengue on islands: a Bayesian approach to understanding the global ecology of dengue viruses,2015,Global,Global,,Dengue,Geolocation of disease occurrence,Country,Global,Aggregated,NA,Statistical fixed effect,GLM,Yes,DIC
"Hales, S.de Wet, N.Maindonald, J.Woodward, A.",Potential effect of population and climate changes on global distribution of dengue fever: an empirical model,2002,Global,Global,,Dengue,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,1975-01-01~1996-12-31,Statistical fixed effect,GLM,Yes,Visual comparison
"Kristiani F, Yong B, Irawan R","Relative risk estimation of dengue disease in Bandung, Indonesia, using poisson-gamma and bym models considering the severity level",2016,South-East Asia,Indonesia,Bandung,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2013-01-01~2013-12-31,Statistical mixed effect,GLMM,No,DIC
"de Almeida AS, de Andrade Medronho R, Ortiz Valencia LI",Spatial analysis of dengue and the socioeconomic context of the city of Rio de Janeiro (Southeastern Brazil),2009,Americas,Brazil,Rio de Janeiro,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2001-11-01~2002-05-31,Statistical mixed effect,GLMM,No,"Correlation coefficient, R-squared"
"Phanitchat T, Zhao B, Haque U, Pientong C, Ekalaksananan T, Aromseree S, et al",Spatial and temporal patterns of dengue incidence in northeastern Thailand 2006-2016,2019,South-East Asia,Thailand,Khon Kaen Province,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2006-01-01~2016-12-31,Statistical mixed effect,GLMM,Yes,WAIC
"Wangdi K, Clements ACA, Du T, Nery SV","Spatial and temporal patterns of dengue infections in Timor-Leste, 2005-2013",2018,South-East Asia,Timor-Leste,,Dengue,Aggregated case count,City/district,National,Aggregated,2005-01-01~2013-12-31,Statistical mixed effect,GLMM,No,DIC
"McHale TC, Romero-Vivas CM, Fronterre C, Arango-Padilla P, Waterlow NR, Nix CD, et al","Spatiotemporal Heterogeneity in the Distribution of Chikungunya and Zika Virus Case Incidences during their 2014 to 2016 Epidemics in Barranquilla, Colombia",2019,Americas,Colombia,Barranquilla,"Zika, CHIKV",Aggregated case count,City/district,Sub-national,Aggregated,2014-01-01~2016-12-31,Statistical mixed effect,GLMM,No,DIC
"Wijayanti SPM, Porphyre T, Chase-Topping M, Rainey SM, McFarlane M, Schnettler E, et al","The Importance of Socio-Economic Versus Environmental Risk Factors for Reported Dengue Cases in Java, Indonesia",2016,South-East Asia,Indonesia,Banyumas Regency of Central Java,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2000-01-01~2013-12-31,Statistical mixed effect,GLMM,No,DIC
"Adin A, Mart?nez-Bello DA, L?pez-Qu?lez A, Ugarte MD",Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia,2018,Americas,Colombia,Bucaramanga,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2009-01-01~2015-12-31,Statistical mixed effect,GLMM,No,"DIC, WAIC"
"Akter R, Hu W, Gatton M, Bambrick H, Cheng J, Tong S","Climate variability, socio-ecological factors and dengue transmission in tropical Queensland, Australia: A Bayesian spatial analysis",2021,Western Pacific,Australia,tropical climate zone in Queensland state,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2010-01-01~2015-12-31,Statistical mixed effect,GLMM,No,DIC
"da Concei??o Ara·jo D, Dos Santos AD, Lima SVMA, Vaez AC, Cunha JO, de Ara·jo KCGM",Determining the association between dengue and social inequality factors in north-eastern Brazil: A spatial modelling,2020,Americas,Brazil,Sergipe state,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2000-01-01~2018-12-31,Statistical mixed effect,GLMM,No,Not specified
"Jaya IGNM, Folmer H","Identifying Spatiotemporal Clusters by Means of Agglomerative Hierarchical Clustering and Bayesian Regression Analysis with Spatiotemporally Varying Coefficients: Methodology and Application to Dengue Disease in Bandung, Indonesia",2021,South-East Asia,Indonesia,Bandung city,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2012-01-01~2016-12-31,Statistical mixed effect,GLMM,Yes,"DIC, WAIC, Others (Others), R-squared"
"Tsheten T, Clements ACA, Gray DJ, Wangchuk S, Wangdi K",Spatial and temporal patterns of dengue incidence in Bhutan: a Bayesian analysis,2020,South-East Asia,Bhutan,,Dengue,Aggregated case count,City/district,National,Aggregated,2016-01-01~2019-06-30,Statistical mixed effect,GLMM,No,"AIC, BIC, DIC"
"Carabali M, Harper S, Lima Neto AS, Dos Santos de Sousa G, Caprara A, Restrepo BN, et al","Spatiotemporal distribution and socioeconomic disparities of dengue, chikungunya and Zika in two Latin American cities from 2007 to 2017",2021,Americas,"Brazil, Colombia",Fortaleza and Medellin,"Dengue, Zika, CHIKV",Aggregated case count,City/district,Sub-national,Aggregated,2007-01-01~2017-12-31,Statistical mixed effect,GLMM,No,Not specified
"Chiaravalloti-Neto F, da Silva RA, Zini N, da Silva GCD, da Silva NS, Parra MCP, et al","Seroprevalence for dengue virus in a hyperendemic area and associated socioeconomic and demographic factors using a cross-sectional design and a geostatistical approach, state of Sao Paulo, Brazil",2019,Americas,Brazil,"Vila Tohihno neighborhood in the municipality of Sao Jose do Rio Preto, Sao Paulo",Dengue,Survey,Interpolated,Sub-national,Aggregated,2005-08-01~2006-09-30,Statistical mixed effect,GLMM,No,DIC
"Delmelle E, Hagenlocher M, Kienberger S, Casas I","A spatial model of socioeconomic and environmental determinants of dengue fever in Cali, Colombia",2016,Americas,Colombia,Cali,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2015-01-01~2015-12-31,Statistical fixed effect,GWR,No,"AIC, R-squared"
"Chien LC, Yu HL",Impact of meteorological factors on the spatiotemporal patterns of dengue fever incidence,2014,Western Pacific,Taiwan,Southern,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,1998-01-01~2011-12-31,Statistical mixed effect,DLNM,No,QAIC
"Chien L, Lin R, Liao Y, Sy F, Perez A",Surveillance on the endemic of Zika virus infection by meteorological factors in Colombia: a population-based spatial and temporal study,2018,Americas,Colombia,,Zika,Aggregated case count,Province,National,Aggregated,2015-01-01~2016-12-31,Statistical mixed effect,DLNM,No,QAIC
"Bomfim R, Pei S, Shaman J, Yamana T, Makse HA, Andrade JS, et al",Predicting dengue outbreaks at neighbourhood level using human mobility in urban areas,2020,Americas,Brazil,Fortaleza city,Dengue,Aggregated case count,City/district,Sub-national,Weekly,2007-01-01~2015-12-31,Machine learning and Mechanistic,Neural network and metapopulation,Yes,Root mean square error (RMSE)
"Atique S, Chan TC, Chen CC, Hsu CY, Iqtidar S, Louis VR, et al","Investigating spatio-temporal distribution and diffusion patterns of the dengue outbreak in Swat, Pakistan",2018,Eastern Mediterranean,Pakistan,Swat,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2013-01-01~2013-12-31,Statistical fixed effect,GWR,No,"AIC, R-squared"
"Zhang Q, Sun KY, Chinazzi M, Piontti APY, Dean NE, Rojas DP, et al",Spread of Zika virus in the Americas,2017,Americas,Americas,,Zika,Aggregated case count,Point/pixel,Continental,Aggregated,2014-01-01~2017-02-28,Mechanistic,Metapopulation,Yes,Correlation coefficient
"Hsueh YH, Lee J, Beltz L","Spatio-temporal patterns of dengue fever cases in Kaoshiung City, Taiwan, 2003-2008",2012,Western Pacific,Taiwan,Kaoshiung City,Dengue,Aggregated case count,City/district,Sub-national,Yearly,2003-01-01~2008-12-31,Statistical fixed effect,GWR,No,R-squared
"Ren H, Wu W, Li T, Yang Z","Urban villages as transfer stations for dengue fever epidemic: A case study in the Guangzhou, China",2019,Western Pacific,China,4 districts of Guangzhou,Dengue,Aggregated case count,Point/pixel,Sub-national,Aggregated,2017-01-01~2017-12-31; 2012-01-01~2014-12-31,Statistical fixed effect,GWR,No,"AIC, Others (Error based), R-squared"
"Lin C-H, Wen T-H",Using geographically weighted regression (GWR) to explore spatial varying relationships of immature mosquitoes and human densities with the incidence of dengue,2011,Western Pacific,Taiwan,Kaohsiung and Fengshan,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2012-01-01~2012-12-31,Statistical fixed effect,GWR,No,"AIC, R-squared"
"Ren H, Zheng L, Li Q, Yuan W, Lu L","Exploring determinants of spatial variations in the dengue fever epidemic using geographically weighted regression model: A case study in the joint Guangzhou-Foshan area, China, 2014",2017,Western Pacific,China,Guangzhou city,Dengue,Aggregated case count,Point/pixel,Sub-national,Aggregated,2014-01-01~2014-12-31,Statistical fixed effect,GWR,No,"AIC, R-squared"
"Anjos RS dos, N?brega RS, Ferreira H dos S, Lacerda AP de, Sousa-Neves N de","Exploring local and global regression models to estimate the spatial variability of Zika and Chikungunya cases in Recife, Brazil",2020,Americas,Brazil,Recife,"Zika, CHIKV",Aggregated case count,City/district,Sub-national,Aggregated,2015-01-01~2017-12-31,Statistical fixed effect,GWR,No,"AIC, R-squared"
"Mutucumarana CP, Bodinayake CK, Nagahawatte A, Devasiri V, Kurukulasooriya R, Anuradha T, et al",Geospatial analysis of dengue emergence in rural areas in the Southern Province of Sri Lanka,2020,South-East Asia,Sri Lanka,Southern Province,Dengue,Survey,Interpolated,Sub-national,Aggregated,2012-06-01~2013-05-31,Statistical fixed effect,GAM,No,Not specified
"Braga C, Luna CF, Martelli CM, de Souza WV, Cordeiro MT, Alexander N, et al","Seroprevalence and risk factors for dengue infection in socio-economically distinct areas of Recife, Brazil",2010,Americas,Brazil,Recife city,Dengue,Survey,Interpolated,Sub-national,Aggregated,2005-01-01~2006-12-31,Statistical fixed effect,GAM,No,Not specified
"Hon?rio NA, Nogueira RMR, Code?o CT, Carvalho MS, Cruz OG, Magalh?es M de AFM, et al","Spatial Evaluation and Modeling of Dengue Seroprevalence and Vector Density in Rio de Janeiro, Brazil",2009,Americas,Brazil,three neighborhoods of Rio de Janeiro city,Dengue,Survey,Interpolated,Sub-national,Aggregated,2007-07-01~2008-04-30,Statistical fixed effect,GAM,No,Not specified
"Chien L-C, Sy F, P?rez A",Identifying high risk areas of Zika virus infection by meteorological factors in Colombia,2019,Americas,Colombia,,Zika,Aggregated case count,Province,National,Weekly,2015-10-01~2017-12-31,Statistical fixed effect,GAM,No,DIC
"Fl?rez-Lozano K, Navarro-Lechuga E, Llinßs-Solano H, Tuesca-Molina R, Sisa-Camargo A, Mercado-Reyes M, et al",Spatial distribution of the relative risk of Zika virus disease in Colombia during the 2015û2016 epidemic from a Bayesian approach,2020,Americas,Colombia,,Zika,Aggregated case count,Province,National,Aggregated,2015-01-01~2016-12-31,Statistical mixed effect,GLMM,No,Not specified
"Ferreira GS, Schmidt AM",Spatial modelling of the relative risk of dengue fever in Rio de Janeiro for the epidemic period between 2001 and 2002,2006,Americas,Brazil,Rio de Janeiro,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2001-12-01~2002-05-31,Statistical mixed effect,GLMM,No,"DIC, Others (Others)"
"Jaya I, Folmer H","Bayesian spatiotemporal mapping of relative dengue disease risk in Bandung, Indonesia",2020,South-East Asia,Indonesia,Bandung city,Dengue,Aggregated case count,Interpolated,Sub-national,Monthly,2009-01-01~2016-12-31,Statistical mixed effect,GLMM,Yes,"DIC, WAIC"
"Aswi A, Cramb S, Duncan E, Hu W, White G, Mengersen K","Climate variability and dengue fever in Makassar, Indonesia: Bayesian spatio-temporal modelling",2020,South-East Asia,Indonesia,Makassar city,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2002-01-01~2017-12-31,Statistical mixed effect,GLMM,Yes,WAIC
"Abd Naeeim NS, Rahman NA",Estimating relative risk for dengue disease in Peninsular Malaysia using INLA,2017,Western Pacific,Malaysia,Peninsular Malaysia,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2015-01-01~2015-12-31,Statistical mixed effect,GLMM,No,DIC
"Husnina Z, Clements ACA, Wangdi K",Forest cover and climate as potential drivers for dengue fever in Sumatra and Kalimantan 2006-2016: A spatiotemporal analysis,2019,South-East Asia,Indonesia,Sumatra and kalimantan islands,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2006-01-01~2016-12-31,Statistical mixed effect,GLMM,No,"AIC, BIC"
"Restrepo AC, Baker P, Clements ACA","National spatial and temporal patterns of notified dengue cases, Colombia 2007-2010",2014,Americas,Colombia,,Dengue,Aggregated case count,City/district,National,Aggregated,2007-01-01~2010-12-31,Statistical mixed effect,GAMM,No,"AIC, DIC"
Castro et al.,Assessing real-time Zika risk in the United States,2017,Americas,USA,Texas state,Zika,Aggregated case count,City/district,Sub-national,Monthly,2002-01-01~2012-12-31,Machine learning and Mechanistic,MAXENT and Others,Yes,"Log likelihood, R-squared"
Ghosh et al.,"The spatial clustering of dengue disease and risk susceptibility mapping: an approach towards sustainable health management in Kharagpur city, India",2019,South-East Asia,India,Kharagpur city,Dengue,Geolocation of disease occurrence,Interpolated,Sub-national,Aggregated,2017-01-01~2017-12-31,Machine learning,Others - machine learning,Yes,NA
Jaya and Ruchjana,"Bayesian Spatial Modeling and Mapping of Dengue Fever: A Case Study of Dengue Feverin the City of Bandung, Indonesia",2021,South-East Asia,Indonesia,Bandung,Dengue,Aggregated case count,City/district,Sub-national,Aggregated,2012-01-01~2012-12-31,Statistical mixed effect,GLMM,No,DIC
Lekdee and Ingsrisawang,GENERALIZED LINEAR MIXED MODELS WITH SPATIAL RANDOM EFFECTS FOR SPATIO-TEMPORAL DATA: AN APPLICATION TO DENGUE FEVER MAPPING,2013,South-East Asia,Thailand,Northern Thailand,Dengue,Aggregated case count,Province,Sub-national,Seasonally,2011-01-01~2011-12-31,Statistical mixed effect,GLMM,No,Not specified
Doni and Sasipraba,LSTM-RNN Based Approach for Prediction of Dengue Cases in India,2020,South-East Asia,India,,Dengue,Aggregated case count,Province,National,Yearly,2015-01-01~2019-12-31,Machine learning,Others - machine learning,Yes,Root mean square error (RMSE)
Butterworth et al.,An analysis of the potential impact of climate change on dengue transmission in the Southeastern United States,2017,Americas,USA,southeastern,Dengue,Aggregated case count,City/district,Sub-national,Seasonally,2010-01-01~2013-12-31,Mechanistic,Compartmental,No,Not specified
Bouzid et al.,Climate change and the emergence of vector-borne diseases in Europe: Case study of dengue fever,2014,Europe,Europe,,Dengue,Aggregated case count,Point/pixel,Continental,Monthly,1985-01-01~2007-12-31,Statistical fixed effect,GAM,No,Not specified
Mukhsar et al.,Extended convolution model to bayesian spatio-temporal for diagnosing the DHF endemic locations,2016,South-East Asia,Indonesia,"Kendari city, Southern Sulawesi",Dengue,Aggregated case count,City/district,Sub-national,Monthly,2007-01-01~2013-12-31,Statistical mixed effect,GLMM,No,Others (Others)
Fernandes et al.,Modelling zero-inflated spatio-temporal processes,2009,Americas,Brazil,Rio de Janeiro,Dengue,Aggregated case count,City/district,Sub-national,Weekly,2001-01-01~2002-12-31,Statistical mixed effect,GLMM,No,Not specified
Astrom et al.,Potential distribution of dengue fever under scenarios of climate change and economic development,2012,Global,Global,,Dengue,Geolocation of disease occurrence,Point/pixel,Global,Aggregated,1975-01-01~2009-12-31,Statistical fixed effect,GAM,Yes,"AIC, Others (Error based), Sensitivity and specificity"
Sani et al.,Relative risk analysis of dengue cases using convolution extended into spatio-temporal model,2015,South-East Asia,Indonesia,Kendari city,Dengue,Aggregated case count,City/district,Sub-national,Monthly,2007-01-01~2010-12-31,Statistical mixed effect,GLMM,No,Others (Error based)
Puengpreeda et al.,Weekly Forecasting Model for Dengue Hemorrhagic Fever Outbreak in Thailand,2020,South-East Asia,Thailand,,Dengue,Aggregated case count,Province,Sub-national,Weekly,2007-01-01~2018-11-30,Machine learning,Other decision tree,Yes,"Mean absolute error (MAE), Mean squared error (MSE), R-squared"
"Colon-Gonzalez, F. J.Sewe, M. O.Tompkins, A. M.Sjodin, H.Casallas, A.Rocklov, J.Caminade, C.Lowe, R.",Projecting the risk of mosquito-borne diseases in a warmer and more populated world: a multi-model multi-scenario intercomparison modelling study,2021,Global,Global,-,Dengue,Aggregated case count,Point/pixel,Global,Monthly,2000-01-01~2017-12-31,Statistical mixed effect,GAMM,No,Not specified
Kikuti et al.,Spatial Distribution of Dengue in a Brazilian Urban Slum Setting: Role of Socioeconomic Gradient in Disease Risk,2015,Americas,Brazil,"Pau da Lima slum community, Salvador",Dengue,Survey,City/district,Sub-national,Aggregated,2009-01-01~2010-12-31,Statistical mixed effect,GLMM,No,DIC
Desjardins et al.,"Space-Time conditional autoregressive modeling to estimate neighborhood-level risks for dengue fever in Cali, Colombia",2020,Americas,Colombia,Cali city,Dengue,Aggregated case count,City/district,Sub-national,Weekly,2015-01-01~2016-12-31,Statistical mixed effect,GLMM,No,DIC
Li et al.,"Ecological niche modeling identifies fine-scale areas at high risk of dengue fever in the pearl river delta, China",2017,Western Pacific,China,Guangdon Province (Pearl River Delta),Dengue,Aggregated case count,Point/pixel,Sub-national,Aggregated,2003-01-01~2013-12-31,Machine learning,MAXENT,Yes,AUC
Yin et al.,Added-value of mosquito vector breeding sites from street view images in the risk mapping of dengue incidence in Thailand.,2021,South-East Asia,Thailand,"three provinces: Nakhon-Si-Thammarat, Krabi, and Bangkok",Dengue,Aggregated case count,City/district,Sub-national,Monthly,2015-01-01~2018-12-31,Statistical mixed effect,GLMM,Yes,"AIC, R-squared"