Integrated mapping of yaws and trachoma in the five northern-most provinces of Vanuatu.
Taleo F, Macleod CK, Marks M, Sokana O, Last A, Willis R, et al.. PLoS neglected tropical diseases. 2017; 11(1):e0005267.
Mapping in Public Health
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Prevalence of Trachoma in Kano State, Nigeria: Results of 44 Local Government Area-Level Surveys.
Mpyet C, Muhammad N, Adamu M, Muazu H, Umar M, Goyol M, et al.. Ophthalmic epidemiology. 2017; 1-9.
The role of spatial statistics in the control and elimination of neglected tropical diseases in Sub-Saharan Africa: A focus on human African trypanosomiasis, schistosomiasis and lymphatic filariasis.
Stanton MC. Advances in parasitology. 2017;
Spatial risk mapping for Dengue fever using GIS: A case study of Hyderabad.
PANHWER MA, PIRZADA N, ABRO A, KHAHRO SH. Sindh University Research Journal. 2017; 49(1):43-46.
A tale of two neglected tropical infections: using GIS to assess the spatial and temporal overlap of schistosomiasis and leprosy in a region of Minas Gerais, Brazil.
Phillips D, Ferreira J, Ansah D, Teixeira H, Kitron U, de Filippis T, et al.. Memorias do Instituto Oswaldo Cruz. 2017; 112(4):275-280.
Mapping the dengue scientific landscape worldwide: a bibliometric and network analysis.
Mota F, Galina A, da Silva R. Memórias do Instituto Oswaldo Cruz. 2017;
Environmental risk factors for the incidence of cutaneous leishmaniasis in an endemic area of Iran: a GIS-based approach.
Ramezankhani R, Hosseini A, Sajadi N, Khoshabi M, Ramezankhani A. Spatial and Spatio-temporal Epidemiology. 2017;
The role of intervention mapping in designing disease prevention interventions: A systematic review of the literature.
Garba RM, Gadanya MA. PloS one. 2017; 12(3):e0174438.
Assessing environmental factors associated with regional schistosomiasis prevalence in Anhui Province, Peoples’ Republic of China using a geographical detector method.
Hu Y, Xia C, Li S, Ward MP, Luo C, Gao F, et al.. Infectious diseases of poverty. 2017; 6(1):87.
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