Publications

Abdulkareem, S. A. , Augustijn, P. W. M. , Filatova, T., Musial, K., & Mustafa, Y. T. (2020). Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning. PLoS ONE, 15(1), 1-22. [e0226483]. https://doi.org/10.1371/journal.pone.0226483

Jia, P., Dong, W., Yang, S., Zhan, Z., Tu, L., & Lai, S. (2020). Spatial lifecourse epidemiology and infectious disease research. Trends in Parasitology, 36(3), 235-238. https://doi.org/10.1016/j.pt.2019.12.012

Araujo Navas, A. L. , Osei, F., Soares Magalhães, R. J., Leonardo, L. R. , & Stein, A. (2020). Modelling the impact of MAUP on environmental drivers for Schistosoma japonicum prevalence. Parasites & vectors, 13, [112]. https://doi.org/10.1186/s13071-020-3987-5

Van Zoest, V., Hoek, G. , Osei, F. , & Stein, A. (2020). Bayesian analysis of the short-term association of NO2 exposure with local burden of asthmatic symptoms in children. Science of the total environment, 720, 1-10. [137544]. https://doi.org/10.1016/j.scitotenv.2020.137544

Wang, Z., Zhao, L., Huang, Q., Hong, A., Yu, C., Xiao, Q. , ... Jia, P. (2020). Traffic‐related environmental factors and childhood obesity: A systematic review and meta‐analysis. Obesity reviews, 1-15. https://doi.org/10.1111/obr.12995

Jia, P. , Wang, T., Van Vliet, A. J. H. , Skidmore, A. K. , & van Aalst, M. K. (2020). Worsening of tree-related public health issues under climate change. Nature Plants, 6(48), 48-48. https://doi.org/10.1038/s41477-020-0598-2

Yang, S., Zhang, X., Feng, P., Wu, T., Tian, R., Zhang, D. , ... Jia, P. (2020). Access to fruit and vegetable markets and childhood obesity: A systematic review. Obesity reviews, 1-12. https://doi.org/10.1111/obr.12980

Abdulkareem, S. A. , Mustafa, Y. T. , Augustijn, E. W. , & Filatova, T. (2019). Bayesian networks for spatial learning: a workflow on using limited survey data for intelligent learning in spatial agent-based models. Geoinformatica, 23(2), 243-268. https://doi.org/10.1007/s10707-019-00347-0

Mehdipoor, H. , Zurita-Milla, R. , Augustijn, P. W. M. , & Izquierdo-Verdiguier, E. (2019). Exploring differences in spatial patterns and temporal trends of phenological models at continental scale using gridded temperature time-series. International Journal of Biometeorology, 1-13. https://doi.org/10.1007/s00484-019-01826-7

Uwiringiyimana, V., Ocké, M. C. , Amer, S. , & Veldkamp, A. (2019). Predictors of stunting with particular focus on complementary feeding practices: A cross-sectional study in the Northern Province of Rwanda. Nutrition, 60, 11-18. https://doi.org/10.1016/j.nut.2018.07.016

Uwiringiyimana, V. , Veldkamp, A. , & Amer, S. (2019). Stunting spatial pattern in Rwanda: An examination of the demographic, socio-economic and environmental determinants. Geospatial health, 14(2), 329-339. [820]. https://doi.org/10.4081/gh.2019.820

Araujo Navas, A. L. , Osei, F. B., Leonardo, L. R., Soares Magalhães, R. J. , & Stein, A. (2019). Modeling Schistosoma japonicum Infection under Pure Specification Bias: Impact of Environmental Drivers of Infection. International journal of environmental research and public health, 16(2), 1-18. [176]. https://doi.org/10.3390/ijerph16020176

Osei, F. B. (2019). Mapping 123 million neonatal, infant and child deaths between 2000 and 2017. Nature, 574 , 353-358. https://doi.org/10.1038/s41586-019-1545-0

Osei, F. B. , & Stein, A. (2019). Bayesian Random Effect Modeling for analyzing spatial clustering of differential time trends of diarrhea incidences. Scientific reports, 9, [13217]. https://doi.org/10.1038/s41598-019-49549-4

Osei, F. B. , Stein, A., & Ofosu, A. (2019). Poisson-Gamma Mixture Spatially Varying Coefficient Modeling of Small-Area Intestinal Parasites Infection. International journal of environmental research and public health, 16(3), [339]. https://doi.org/10.3390/ijerph16030339

Van Zoest, V. M. , Osei, F. B. , Stein, A., & Hoek, G. (2019). Calibration of low-cost NO2 sensors in an urban air quality network. Atmospheric environment, 210, 66-75. https://doi.org/10.1016/j.atmosenv.2019.04.048

Xin, J., Zhao, L., Wu, T., Zhang, L., Li, Y., Xue, H. , ... Jia, P. (2019). Association between access to convenience stores and childhood obesity: A systematic review. Obesity reviews, 1-25. https://doi.org/10.1111/obr.12908

Jia, P., Xue, H., Cheng, X., Wang, Y., & Wang, Y. (2019). Association of neighborhood built environments with childhood obesity: evidence from a 9-year longitudinal, nationally representative survey in the US. Environment international, 128, 158-164. https://doi.org/10.1016/j.envint.2019.03.067

Jia, P., Wang, F., & Xierali, I. (2019). Differential effects of distance decay on hospital inpatient visits among subpopulations in Florida. Environmental monitoring and assessment, 191(suppl 2), 1-16. [381]. https://doi.org/10.1007/s10661-019-7468-2

Jia, P. , Stein, A., James, P., Brownson, R. C., Wu, T., Xiao, Q., ... Wang, Y. (2019). Earth Observation: Investigating Noncommunicable Diseases from Space. Annual Review of Public Health, 40, 85-104. [24]. https://doi.org/10.1146/annurev-publhealth-040218-043807

Jia, P., Xue, H., Cheng, X., & Wang, Y. (2019). Effects of school neighborhood food environments on childhood obesity at multiple scales: a longitudinal kindergarten cohort study in the USA. BMC Medicine, 17, [99]. https://doi.org/10.1186/s12916-019-1329-2

Jia, P., & Wang, Y. (2019). Global health efforts and opportunities related to the Belt and Road Initiative. The Lancet Global Health, 7(6), e703-e705. https://doi.org/10.1016/S2214-109X(19)30062-2

Wang, Y. , Jia, P., Cheng, X., & Xue, H. (2019). Improvement in food environments may help prevent childhood obesity: Evidence from a 9‐year cohort study. Pediatric Obesity, 14(10), [e12536]. https://doi.org/10.1111/ijpo.12536

Zhan, Z., Dong, W., Lu, Y., Yang, P., Wang, Q. , & Jia, P. (2019). Real-Time Forecasting of Hand-Foot-and-Mouth Disease Outbreaks using the Integrating Compartment Model and Assimilation Filtering. Scientific reports, 9, 1-9. [2661]. https://doi.org/10.1038/s41598-019-38930-y

Jia, P., Xue, H., Yin, L. , Stein, A., Wang, M., & Wang, Y. (2019). Spatial Technologies in Obesity Research: Current Applications and Future Promise. Trends in Endocrinology and Metabolism, 30(3), 211-223. https://doi.org/10.1016/j.tem.2018.12.003

Jia, P., Ma, S., Qi, X., & Wang, Y. (2019). Spatial and temporal changes in prevalence of obesity among Chinese children and adolescents, 1985–2005. Preventing chronic disease, 16, 1-4. [E160]. https://doi.org/10.5888/pcd16.190290

Jia, P. (2019). Spatial lifecourse epidemiology. The Lancet Planetary Health, 3(2), e57-e59. https://doi.org/10.1016/S2542-5196(18)30245-6

Jia, P., Lakerveld, J., Wu, J. , Stein, A., Root, E., Sabel, C., ... James, P. (2019). Top 10 Research Priorities in Spatial Lifecourse Epidemiology. Environmental Health Perspectives, 127(7), 1-7. [074501]. https://doi.org/10.1289/EHP4868

Araujo Navas, A. L., Soares Magalhães, R. J. , Osei, F., Fornillos, R. J. C., Leonardo, L. R. , & Stein, A. (2018). Modelling local areas of exposure to Schistosoma japonicum in a limited survey data environment. Parasites & vectors, 11(1), 1-15. [465]. https://doi.org/10.1186/s13071-018-3039-6

Osei, F. B. , & Stein, A. (2018). Temporal trend and spatial clustering of cholera epidemic in Kumasi-Ghana. Scientific reports, 8, 1-11. [17848]. https://doi.org/10.1038/s41598-018-36029-4

Osei, F. B. , Stein, A., & Nyadanu, S. D. (2018). Spatial and temporal heterogeneities of district-level typhoid morbidities in Ghana: A requisite insight for informed public health response. PLoS ONE, 13(11), 1-19. https://doi.org/10.1371/journal.pone.0208006

Nyandwi, E. , Veldkamp, A. , Amer, S., Karema, C., & Umulisa, I. (2017). Schistosomiasis mansoni incidence data in Rwanda can improve prevalence assessments, by providing high-resolution hotspot and risk factors identification. BMC public health, 17(1), [845]. https://doi.org/10.1186/s12889-017-4816-4

Nyandwi, E. , Veldkamp, T. , Osei, F. B. , & Amer, S. (2017). Spatio-temporal dynamics of schistosomiasis in Rwanda between 2001 and 2012: Impact of the national neglected tropical disease control programme. Geospatial health, 12(1), [514]. https://doi.org/10.4081/gh.2017.514

Tuyishimire, J., Kateera, F., Mugisha, J. , Amer, S., & Mens, P. (2017). Spatial modelling of malaria risk factors in Ruhuha sector in the east of Rwanda. Rwanda journal : Series D : Life and natural sciences, 1(1), 1-32. [II]. https://doi.org/10.4314/rj.v1i1S.10D

Augustijn-Beckers, P., Doldersum, T., Useya, J. , & Augustijn, D. C. M. (2016). Agent-based modelling of cholera diffusion. Stochastic environmental research and risk assessment, 30(8), 2079-2095. https://doi.org/10.1007/s00477-015-1199-x

Augustijn-Beckers, P. , & Zurita-Milla, R. (2013). Self - organizing maps as an approach to exploring spatiotemporal diffusion patterns. International journal of health geographics, 12, 1-14. [60]. https://doi.org/10.1186/1476-072X-12-60

Augustijn-Beckers, P., Useya, J. , Zurita-Milla, R. , & Osei, F. B. (2011). Simulation of cholera diffusion to compare transmission mechanisms. In T. Cheng, & . [et al] (Eds.), Proceedings of the 11th international conference on GeoComputation, London, UK, 20-22 July 2011 : e-book (pp. 39-42). London: University College London (UCL).

Kandwal, R. , Augustijn-Beckers, P. , Stein, A., Miscione, G., Garg, P. K., & Garg, R. D. (2010). Geospatial analysis of HIV - related social stigma : a study of tested females across mandals of Andhra Pradesh in India. International journal of health geographics, 9(18), 1-13. https://doi.org/10.1186/1476-072X-9-18

Osei, F. B., Duker, A. A. , Augustijn-Beckers, P. , & Stein, A. (2010). Spatial dependency of cholera prevalence on potential cholera reservoirs in an urban area, Kumasi, Ghana. International Journal of Applied Earth Observation and Geoinformation (JAG), 12(5), 331-339. https://doi.org/10.1016/j.jag.2010.04.005

Local Burden of Disease 2019 Neglected Tropical Diseases Collaborators [Osei, F.B.] (2020). Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000–17. The Lancet Global Health8(9), e1162-e1185. https://doi.org/10.1016/S2214-109X(20)30278-3 

Local Burden of Disease 2019 Neglected Tropical Diseases Collaborators [Osei, F.B.] (2020). Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Study 2017. The Lancet395(10239), 1779-1801. https://doi.org/10.1016/S0140-6736(20)30114-8

Local Burden of Disease 2019 Neglected Tropical Diseases Collaborators [Osei, F.B.] (2020). Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17. The Lancet Global Health8(8), e1038-e1060. https://doi.org/10.1016/S2214-109X(20)30230-8

Bostan, P., Stein, A., Alidoost, F., & Osei, F. B. (2020). Minimum temperature mapping with spatial copula interpolation. Spatial statistics, 1-17. [100464]. https://doi.org/10.1016/j.spasta.2020.100464

Local Burden of Disease 2019 Neglected Tropical Diseases Collaborators [Osei, F.B.] (2020). The global distribution of lymphatic filariasis, 2000–18: a geospatial analysis. The Lancet Global Health8(9), e1186-e1194. https://doi.org/10.1016/S2214-109X(20)30286-2

Wei, X., Wang, M., & Kraak, M. J. (2020). Where we are in fighting against COVID-19. Environment and Planning A, 1-4. https://doi.org/10.1177/0308518X20931515



Thesis 

Khuluse, S. - Spatial statistical modelling of urban particulate matter

Nyandwi, E. - Understanding wetlands reclamation and soil-transmitted helminths and schistosomiasis incidence patterns in Rwanda (2001-2012)