human | Q5 |
P2456 | DBLP author ID | 62/5105 |
P968 | email address | A.J.Tatem@soton.ac.uk |
P1960 | Google Scholar author ID | wt8NpZgAAAAJ |
P213 | ISNI | 0000000134995876 |
P244 | Library of Congress authority ID | no2017002574 |
P856 | official website | https://www.southampton.ac.uk/geography/about/staff/ajt1m11.page |
P496 | ORCID iD | 0000-0002-7270-941X |
P1153 | Scopus author ID | 6603035928 |
P4012 | Semantic Scholar author ID | 2443066 |
P214 | VIAF ID | 2231148451575115970001 |
P10832 | WorldCat Entities ID | E39PBJt3VpwPWRfycJMh47ppT3 |
P166 | award received | Back Award | Q22000029 |
P108 | employer | University of Oxford | Q34433 |
University of Southampton | Q76473 | ||
University of Florida | Q501758 | ||
P734 | family name | Tatem | Q16880014 |
Tatem | Q16880014 | ||
Tatem | Q16880014 | ||
P101 | field of work | malaria | Q12156 |
spatial epidemiology | Q7574064 | ||
P735 | given name | Andrew | Q18042461 |
Andrew | Q18042461 | ||
J. | Q19803507 | ||
J. | Q19803507 | ||
P6104 | maintained by WikiProject | WikiProject Invasion Biology | Q56241615 |
P463 | member of | Academy of Social Sciences | Q4671531 |
P106 | occupation | researcher | Q1650915 |
P5008 | on focus list of Wikimedia project | WikiProject Zika Corpus | Q54439832 |
WikiProject COVID-19 | Q87748614 | ||
P21 | sex or gender | male | Q6581097 |
Q34375668 | A framework for assessing the feasibility of malaria elimination |
Q28604106 | A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997-2010 |
Q21245781 | A high resolution spatial population database of Somalia for disease risk mapping |
Q21144495 | A long neglected world malaria map: Plasmodium vivax endemicity in 2010 |
Q56902072 | A new urban landscape in East–Southeast Asia, 2000–2010 |
Q17485680 | A new world malaria map: Plasmodium falciparum endemicity in 2010 |
Q57305260 | A probabilistic predictive Bayesian approach for determining the representativeness of health and demographic surveillance networks |
Q37037413 | A sticky situation: the unexpected stability of malaria elimination |
Q36767943 | A systematic review of mathematical models of mosquito-borne pathogen transmission: 1970-2010 |
Q21144643 | A world malaria map: Plasmodium falciparum endemicity in 2007 |
Q35171798 | Adult vector control, mosquito ecology and malaria transmission |
Q37089513 | Advances in mapping malaria for elimination: fine resolution modelling of Plasmodium falciparum incidence |
Q44849529 | Air travel and vector-borne disease movement |
Q30486148 | An open-access modeled passenger flow matrix for the global air network in 2010 |
Q39422953 | Analysis of Seasonal Risk for Importation of the Mediterranean Fruit Fly, Ceratitis capitata (Diptera: Tephritidae), via Air Passenger Traffic Arriving in Florida and California |
Q37226461 | Approaching the limit of predictability in human mobility |
Q17485682 | Assembling a global database of malaria parasite prevalence for the Malaria Atlas Project |
Q85005077 | Assessing spread risk of Wuhan novel coronavirus within and beyond China, January-April 2020: a travel network-based modelling study |
Q35952592 | Assessing the accuracy of satellite derived global and national urban maps in Kenya |
Q124821280 | Assessing the characteristics of un- and under-vaccinated children in low- and middle-income countries: A multi-level cross-sectional study |
Q97587084 | Assessing the impact of coordinated COVID-19 exit strategies across Europe |
Q30615168 | Assessing the use of global land cover data for guiding large area population distribution modelling |
Q34863198 | Assessment of the potential for international dissemination of Ebola virus via commercial air travel during the 2014 west African outbreak |
Q36104916 | Associations between urbanicity and malaria at local scales in Uganda |
Q35215108 | Athletics: momentous sprint at the 2156 Olympics? |
Q33945328 | Baseline spatial distribution of malaria prior to an elimination programme in Vanuatu |
Q34019788 | Can mobile phone data improve emergency response to natural disasters? |
Q31095471 | Census-derived migration data as a tool for informing malaria elimination policy |
Q47135334 | Census-independent population mapping in northern Nigeria |
Q37664435 | Changing Epidemiology of Human Brucellosis, China, 1955-2014. |
Q24634284 | Climate change and the global malaria recession |
Q51710666 | Climatic similarity and biological exchange in the worldwide airline transportation network. |
Q37761427 | Clostridium difficile PCR ribotype 027: assessing the risks of further worldwide spread |
Q30887049 | Commentary: containing the ebola outbreak - the potential and challenge of mobile network data |
Q42386622 | Correction: Equality in Maternal and Newborn Health: Modelling Geographic Disparities in Utilisation of Care in Five East African Countries |
Q55465676 | Correction: Phylodynamics and Human-Mediated Dispersal of a Zoonotic Virus. |
Q36594228 | Coverage and system efficiencies of insecticide-treated nets in Africa from 2000 to 2017. |
Q42063511 | Defining approaches to settlement mapping for public health management in Kenya using medium spatial resolution satellite imagery |
Q37686860 | Demographics, epidemiology and the impact of vaccination campaigns in a measles-free world - Can elimination be maintained? |
Q59466115 | Detecting climate adaptation with mobile network data in Bangladesh: anomalies in communication, mobility and consumption patterns during cyclone Mahasen |
Q28656083 | Development and Evaluation of an Attractive Self-Marking Ovitrap to Measure Dispersal and Determine Skip Oviposition in Aedes albopictus (Diptera: Culicidae) Field Populations |
Q42664597 | Digital methods in epidemiology can transform disease control |
Q35760176 | Digital surveillance for enhanced detection and response to outbreaks |
Q28649810 | Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data |
Q30380990 | Dynamic denominators: the impact of seasonally varying population numbers on disease incidence estimates. |
Q30864532 | Dynamic population mapping using mobile phone data |
Q88975969 | Effect of non-pharmaceutical interventions for containing the COVID-19 outbreak in China |
Q94513306 | Effect of non-pharmaceutical interventions to contain COVID-19 in China |
Q56896972 | Effect of poor census data on population maps |
Q30381829 | Equality in Maternal and Newborn Health: Modelling Geographic Disparities in Utilisation of Care in Five East African Countries |
Q41084286 | Erratum: Advances in mapping malaria for elimination: fine resolution modelling of Plasmodium falciparum incidence |
Q40048611 | Erratum: Model-based projections of Zika virus infections in childbearing women in the Americas |
Q35117172 | Estimating drivers of autochthonous transmission of chikungunya virus in its invasion of the americas |
Q17485684 | Estimating the global clinical burden of Plasmodium falciparum malaria in 2007 |
Q27473562 | Estimating the malaria risk of African mosquito movement by air travel |
Q28647282 | Evaluating Spatial Interaction Models for Regional Mobility in Sub-Saharan Africa |
Q45942949 | Examining the correlates and drivers of human population distributions across low- and middle-income countries. |
Q37477847 | Explaining seasonal fluctuations of measles in Niger using nighttime lights imagery |
Q31053027 | Exploring the spatiotemporal drivers of malaria elimination in Europe |
Q28752642 | Fifty Years of Earth Observation Satellites: Views from above have lead to countless advances on the ground in both scientific knowledge and daily life |
Q30867136 | Fine-scale malaria risk mapping from routine aggregated case data |
Q59137914 | Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria |
Q112273172 | Geographical distribution of fertility rates in 70 low-income, lower-middle-income, and upper-middle-income countries, 2010-16: a subnational analysis of cross-sectional surveys |
Q57241775 | Geospatial mapping of access to timely essential surgery in sub-Saharan Africa |
Q34465730 | Global assessment of seasonal potential distribution of Mediterranean fruit fly, Ceratitis capitata (Diptera: Tephritidae). |
Q31142297 | Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data |
Q31038733 | Global environmental data for mapping infectious disease distribution |
Q30250234 | Global epidemiology of avian influenza A H5N1 virus infection in humans, 1997-2015: a systematic review of individual case data |
Q38698682 | Global funding trends for malaria research in sub-Saharan Africa: a systematic analysis |
Q37154025 | Global malaria connectivity through air travel |
Q30576039 | Global migration and the changing distribution of sickle haemoglobin: a quantitative study of temporal trends between 1960 and 2000. |
Q90359012 | Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets |
Q36109620 | Global threats from invasive alien species in the twenty-first century and national response capacities |
Q27473134 | Global traffic and disease vector dispersal |
Q24576083 | Global transport networks and infectious disease spread |
Q38671631 | GridSample: an R package to generate household survey primary sampling units (PSUs) from gridded population data |
Q22242275 | HIV epidemiology. The early spread and epidemic ignition of HIV-1 in human populations |
Q30490812 | High resolution global gridded data for use in population studies |
Q34589631 | High resolution population distribution maps for Southeast Asia in 2010 and 2015 |
Q21144405 | High resolution population maps for low income nations: combining land cover and census in East Africa |
Q28608199 | High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020 |
Q114648039 | High-resolution population estimation using household survey data and building footprints |
Q30378477 | Housing Improvements and Malaria Risk in Sub-Saharan Africa: A Multi-Country Analysis of Survey Data. |
Q34306393 | Human movement data for malaria control and elimination strategic planning |
Q36981974 | Human population, urban settlement patterns and their impact on Plasmodium falciparum malaria endemicity |
Q31068210 | Identifying Malaria Transmission Foci for Elimination Using Human Mobility Data |
Q51185325 | Identifying climate drivers of infectious disease dynamics: recent advances and challenges ahead. |
Q55112677 | Identifying residential neighbourhood types from settlement points in a machine learning approach. |
Q36591339 | Implications of spatially heterogeneous vaccination coverage for the risk of congenital rubella syndrome in South Africa |
Q33626040 | Improving Large Area Population Mapping Using Geotweet Densities |
Q57305397 | Increasing the spatial resolution of agricultural land cover maps using a Hopfield neural network |
Q34193362 | Infectious disease. Solving the Sisyphean problem of malaria in Zanzibar |
Q42273925 | Infectious disease. The stability of malaria elimination |
Q59136143 | Innovation to impact in spatial epidemiology |
Q24644543 | Insecticide-treated net coverage in Africa: mapping progress in 2000-07 |
Q30753618 | Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning |
Q56762491 | Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China |
Q33981996 | International population movements and regional Plasmodium falciparum malaria elimination strategies |
Q36921030 | Introduction of rubella-containing-vaccine to Madagascar: implications for roll-out and local elimination |
Q36131970 | Investigating Barriers to Tuberculosis Evaluation in Uganda Using Geographic Information Systems |
Q34631117 | Investigating the endemic transmission of the hepatitis C virus |
Q28730483 | Large-scale spatial population databases in infectious disease research |
Q43047469 | Local, national, and regional viral haemorrhagic fever pandemic potential in Africa: a multistage analysis |
Q38626952 | Malaria in China, 2011-2015: an observational study |
Q45761470 | Malaria prevalence metrics in low- and middle-income countries: an assessment of precision in nationally-representative surveys |
Q35590729 | Malaria transmission, infection, and disease at three sites with varied transmission intensity in Uganda: implications for malaria control |
Q30382144 | Mapping adolescent first births within three east African countries using data from Demographic and Health Surveys: exploring geospatial methods to inform policy |
Q37582347 | Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births |
Q24049228 | Mapping global environmental suitability for Zika virus |
Q34160137 | Mapping malaria risk in Bangladesh using Bayesian geostatistical models |
Q28714279 | Mapping populations at risk: improving spatial demographic data for infectious disease modeling and metric derivation |
Q36552651 | Mapping residual transmission for malaria elimination |
Q34169711 | Mapping the denominator: spatial demography in the measurement of progress |
Q40445253 | Mapping the environmental and socioeconomic coverage of the INDEPTH international health and demographic surveillance system network |
Q35215098 | Mapping the environmental coverage of the INDEPTH demographic surveillance system network in rural Africa |
Q34041973 | Mapping the zoonotic niche of Ebola virus disease in Africa |
Q36588018 | Measles hotspots and epidemiological connectivity |
Q56888337 | Measles outbreak risk in Pakistan: exploring the potential of combining vaccination coverage and incidence data with novel data-streams to strengthen control |
Q27468588 | Measuring populations to improve vaccination coverage |
Q35215072 | Measuring urbanization pattern and extent for malaria research: a review of remote sensing approaches |
Q37048224 | Millennium development health metrics: where do Africa's children and women of childbearing age live? |
Q22809004 | Model-based projections of Zika virus infections in childbearing women in the Americas |
Q26250276 | Model-based projections of Zika virus infections in childbearing women in the Americas |
Q42833289 | Modelling changing population distributions: an example of the Kenyan Coast, 1979-2009. |
Q35319063 | Modelling malaria risk in East Africa at high-spatial resolution |
Q34069995 | Modelling spatial patterns of urban growth in Africa |
Q35508265 | Molecular epidemiology of HIV type 1 CRF02_AG in Cameroon and African patients living in Italy |
Q38696622 | Mosquitoes on a plane: Disinsection will not stop the spread of vector-borne pathogens, a simulation study |
Q47158486 | Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics |
Q57305417 | Multiple-class land-cover mapping at the sub-pixel scale using a Hopfield neural network |
Q56902105 | Multitemporal settlement and population mapping from Landsat using Google Earth Engine |
Q99417477 | National population mapping from sparse survey data: A hierarchical Bayesian modeling framework to account for uncertainty |
Q62485348 | Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus |
Q34990276 | Persistence in epidemic metapopulations: quantifying the rescue effects for measles, mumps, rubella and whooping cough |
Q28748670 | Phylodynamics and human-mediated dispersal of a zoonotic virus |
Q29353805 | Phylogeography and population dynamics of dengue viruses in the Americas |
Q27315178 | Place-based attributes predict community membership in a mobile phone communication network |
Q37522306 | Plasmodium falciparum malaria importation from Africa to China and its mortality: an analysis of driving factors |
Q35847037 | Plasmodium vivax Transmission in Africa |
Q28119650 | Pokémon Go and Exposure to Mosquito-Borne Diseases: How Not to Catch ‘Em All |
Q34171312 | Population distribution, settlement patterns and accessibility across Africa in 2010. |
Q59063350 | Population mapping of poor countries |
Q56890290 | Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data |
Q30385740 | Poverty, health and satellite-derived vegetation indices: their inter-spatial relationship in West Africa. |
Q33771574 | Predicting the risk of avian influenza A H7N9 infection in live-poultry markets across Asia |
Q51148225 | Productive disruption: opportunities and challenges for innovation in infectious disease surveillance. |
Q38949901 | Public health. Optimizing investments in malaria treatment and diagnosis |
Q64126879 | Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus |
Q114373365 | Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus |
Q33755118 | Quantifying cross-border movements and migrations for guiding the strategic planning of malaria control and elimination |
Q30987850 | Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data |
Q30887078 | Quantifying the impact of accessibility on preventive healthcare in sub-Saharan Africa using mobile phone data |
Q36910711 | Quantifying the impact of human mobility on malaria |
Q33528929 | Quantifying the number of pregnancies at risk of malaria in 2007: a demographic study |
Q34605561 | Ranking of elimination feasibility between malaria-endemic countries |
Q36798377 | Rapid case-based mapping of seasonal malaria transmission risk for strategic elimination planning in Swaziland |
Q47126422 | Rapid mapping of seasonal malaria transmission risk for strategic elimination planning in Swaziland |
Q37635100 | Recasting the theory of mosquito-borne pathogen transmission dynamics and control |
Q36404768 | Reduced vaccination and the risk of measles and other childhood infections post-Ebola |
Q30903059 | Remotely measuring populations during a crisis by overlaying two data sources |
Q46570415 | Risk assessment of malaria importation to Europe and other non-endemic regions via air-travel. |
Q35296843 | Scene selection and the use of NASA's global orthorectified Landsat dataset for land cover and land use change monitoring |
Q30240949 | Seasonal Population Movements and the Surveillance and Control of Infectious Diseases |
Q58569815 | Seasonal and interannual risks of dengue introduction from South-East Asia into China, 2005-2015 |
Q38414002 | Spatial accessibility and the spread of HIV-1 subtypes and recombinants |
Q40149986 | Spatial distribution of emergency obstetric and newborn care services in Ghana: Using the evidence to plan interventions |
Q37354970 | Spatial dynamics of meningococcal meningitis in Niger: observed patterns in comparison with measles |
Q30379416 | Spatial phylodynamics of HIV-1 epidemic emergence in east Africa. |
Q52648019 | Spatially disaggregated population estimates in the absence of national population and housing census data. |
Q37498027 | Spatio-temporal analysis of malaria vector density from baseline through intervention in a high transmission setting |
Q54558665 | Spatiotemporal incidence of Zika and associated environmental drivers for the 2015-2016 epidemic in Colombia. |
Q36584373 | Spatiotemporal patterns of population in mainland China, 1990 to 2010 |
Q28119353 | Spread of yellow fever virus outbreak in Angola and the Democratic Republic of the Congo 2015–16: a modelling study |
Q38672370 | Sub-national mapping of population pyramids and dependency ratios in Africa and Asia |
Q57724667 | Super-resolution Land Cover Mapping from Remotely Sensed Imagery using a Hopfield Neural Network |
Q57305403 | Super-resolution land cover pattern prediction using a Hopfield neural network |
Q59793551 | Temporal trends in spatial inequalities of maternal and newborn health services among four east African countries, 1999-2015 |
Q34250991 | Terra and Aqua: new data for epidemiology and public health |
Q30396777 | Testing spatiotemporal hypothesis of bacterial evolution using methicillin-resistant Staphylococcus aureus ST239 genome-wide data within a bayesian framework |
Q35215086 | The accuracy of human population maps for public health application |
Q24288879 | The changing epidemiology of dengue in China, 1990-2014: a descriptive analysis of 25 years of nationwide surveillance data |
Q21034097 | The co-distribution of Plasmodium falciparum and hookworm among African schoolchildren |
Q37313685 | The demographics of human and malaria movement and migration patterns in East Africa |
Q98664772 | The duration of travel impacts the spatial dynamics of infectious diseases |
Q34610934 | The effects of spatial population dataset choice on estimates of population at risk of disease |
Q36483366 | The effects of urbanization on global Plasmodium vivax malaria transmission |
Q33567651 | The geography of imported malaria to non-endemic countries: a meta-analysis of nationally reported statistics |
Q35676900 | The geography of maternal and newborn health: the state of the art. |
Q33762766 | The geography of measles vaccination in the African Great Lakes region |
Q34548302 | The global distribution and population at risk of malaria: past, present, and future |
Q21144525 | The international limits and population at risk of Plasmodium vivax transmission in 2009 |
Q21563408 | The limits and intensity of Plasmodium falciparum transmission: implications for malaria control and elimination worldwide |
Q30000821 | The use of census migration data to approximate human movement patterns across temporal scales |
Q33517889 | The use of mobile phone data for the estimation of the travel patterns and imported Plasmodium falciparum rates among Zanzibar residents |
Q33717366 | The worldwide airline network and the dispersal of exotic species: 2007-2010. |
Q30598545 | Theory and data for simulating fine-scale human movement in an urban environment |
Q35544268 | Transport networks and inequities in vaccination: remoteness shapes measles vaccine coverage and prospects for elimination across Africa |
Q40060032 | Travel patterns and demographic characteristics of malaria cases in Swaziland, 2010-2014. |
Q35551483 | Travel risk, malaria importation and malaria transmission in Zanzibar |
Q33582018 | Treatment-seeking behaviour in low- and middle-income countries estimated using a Bayesian model |
Q124016951 | Trip duration drives shift in travel network structure with implications for the predictability of spatial disease spread |
Q30575329 | Uncertainties in measuring populations potentially impacted by sea level rise and coastal flooding |
Q47985400 | Underestimate of annual malaria imports to Canada - Author reply |
Q112271429 | Understanding factors associated with attending secondary school in Tanzania using household survey data |
Q109944893 | Untangling introductions and persistence in COVID-19 resurgence in Europe |
Q36805308 | Urbanization and the global malaria recession |
Q30502201 | Urbanization, malaria transmission and disease burden in Africa |
Q36960464 | Using remotely sensed night-time light as a proxy for poverty in Africa |
Q63246292 | Utilizing general human movement models to predict the spread of emerging infectious diseases in resource poor settings |
Q124016941 | Variation in SARS-CoV-2 outbreaks across sub-Saharan Africa |
Q36514574 | Vectorial capacity and vector control: reconsidering sensitivity to parameters for malaria elimination |
Q24277617 | Virus evolution and transmission in an ever more connected world |
Q60227585 | Virus genomes reveal the factors that spread and sustained the West African Ebola epidemic |
Q36416424 | Web-based GIS: the vector-borne disease airline importation risk (VBD-AIR) tool |
Q30379097 | WorldPop, open data for spatial demography |
Search more.