Sorichetta, A.; Nghiem, S.V.; Masetti, M.; Linard, C.; Richter, A.: 2020. Transformative urban changes of Beijing in the decade of the 2000s. Remote Sensing, 2020.12(4): article 652. DOI: 10.3390/rs12040652

Ruktanonchai, C.W.; Nieves, J.J.; Ruktanonchai, N.W.; Nilsen, K.; Steele, J.E.; Matthews, Z.; Tatem, A.J.: 2020. Estimating uncertainty in geospatial modelling at multiple spatial resolutions: the pattern of delivery via caesarean section in Tanzania. BMJ Global Health, 2020.4: article e002092. DOI: 10.1136/bmjgh-2019-002092

Dotse-Gborgbortsi, W.; Dwomoh, D.; Alegana, V.; Hill, A.; Tatem, A.J.; Wright, J.: 2020. The influence of distance and quality on utilisation of birthing services at health facilities in Eastern Region, Ghana. BMJ Global Health, 2020.4: article e002020. DOI: 10.1136/bmjgh-2019-002020

Lai, S.; Bogoch, I.; Ruktanonchai, N.; Watts, A.; Li, Y.; Yu, J.; Lv, X.; Yang, W.; Yu, H.; Khan, K.; Li, Z.; Tatem, A.J.: 2020. Assessing spread risk of Wuhan novel coronavirus within and beyond China, January-April 2020: a travel network-based modelling study. Preprints. DOI: 10.1101/2020.02.04.20020479

Boo, G.; Darin, E.; Thomson, D.R.; Tatem, A.J.: 2020. A grid-based sample design framework for household surveys. Preprints. DOI: 10.12688/gatesopenres.13107.1

Dujardin, S.; Jacques, D.; Steele, J.; Linard, C.: 2020. Mobile phone data for urban climate change adaptation: reviewing applications, opportunities and key challenges. Sustainability, 2020.12(4): article 1501. DOI: 10.3390/su12041501

Utazi, C.E.; Wagai, J.; Pannell, O.; Cutts, F.T.; Rhoda, D.A.; Ferrari, M.J.; Dieng, B.; Oteri, J.; Danovaro-Holliday, M.C.; Adeniran, A.; Tatem, A.J.: 2020. Geospatial variation in measles vaccine coverage through routine and campaign strategies in Nigeria: analysis of recent household surveys. Vaccine, 2020.38(14): pp. 3062-3071. DOI: 10.1016/j.vaccine.2020.02.070

Jia, P.; Dong, W.; Yang, S.; Zhan, Z.; Tu, L.; Lai, S.: 2020. Spatial lifecourse epidemiology and infectious disease research. Trends in Parasitology, 2020.36(3): pp. 235-238. DOI: 10.1016/j.pt.2019.12.012

Oidtman, R.J.; Lai, S.; Huang, Z.; Yang, J.; Siraj, A.S.; Reiner Jr, R.C.; Tatem, A.J.; Perkins, T.A.; Yu, H.: 2019. Inter-annual variation in seasonal dengue epidemics driven by multiple interacting factors in Guangzhou, China. Nature Communications, 2019.10: article 1148. DOI: 10.1038/s41467-019-09035-x

Lai, S.; Farnham, A.; Ruktanonchai, N.W.; Tatem, A.J.: 2019. Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine. Journal of Travel Medicine, 2019.26(3): article taz019. DOI: 10.1093/jtm/taz019

Kraemer, M.U.G.; Reiner Jr, R.C.; Brady, O.J.; Messina, J.P.; Gilbert, M.; Pigott, D.M.; Yi, D.; Johnson, K.; Earl, L.; Marczak, L.B.; Shirude, S.; Weaver, N.D.; Bisanzio, D.; Perkins, T.A.; Lai, S.; Lu, X.; Jones, P.; Coelho, G.E.; Carvalho, R.G.; van Bortel, W.; Marsboom, C.; Hendrickx, G.; Schaffner, F.; Moore, C.G.; Nax, H.H.; Bengtsson, L.; Wetter, E.; Tatem, A.J.; Brownstein, J.S.; Smith, D.L.; Lambrechts, L.; Cauchemez, S.; Linard, C.; Faria, N.R.; Pybus, O.G.; Scott, T.W.; Liu, Q.; Yu, H.; Wint, G.R.W.; Hay, S.I.; Golding, N.: 2019. Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nature Microbiology, 2019.4: pp. 854-863. DOI: 10.1038/s41564-019-0376-y

Kraemer, M.U.G.; Golding, N.; Bisanzio, D.; Bhatt, S.; Pigott, D.M.; Ray, S.E.; Brady, O.J.; Brownstein, J.S.; Faria, N.R.; Cummings, D.A.T.; Pybus, O.G.; Smith, D.L.; Tatem, A.J.; Hay, S.I.; Reiner Jr, R.C.: 2019. Utilizing general human movement models to predict the spread of emerging infectious diseases in resource poor settings. Scientific Reports, 2019.9: article 5151. DOI: 10.1038/s41598-019-41192-3

Lai, S.; zu Erbach-Schoenberg, E.; Pezzulo, C.; Ruktanonchai, N.W.; Sorichetta, A.; Steele, J.; Li, T.; Dooley, C.A.; Tatem, A.J.: 2019. Exploring the use of mobile phone data for national migration statistics. Palgrave Communications, 2019.5: article 34. DOI: 10.1057/s41599-019-0242-9

Tusting, L.S.; Bisanzio, D.; Alabaster, G.; Cameron, E.; Cibulskis, R.; Davies, M.; Flaxman, S.; Gibson, H.S.; Knudsen, J.; Mbogo, C.; Okumu, F.O.; von Seidlein, L.; Weiss, D.J.; Lindsay, S.W.; Gething, P.W.; Bhatt, S.: 2019. Mapping changes in housing in sub-Saharan Africa from 2000 to 2015. Nature, 2019.568: pp. 391–394. DOI: 10.1038/s41586-019-1050-5

Lai, S.; Sun, J.; Ruktanonchai, N.W.; Zhou, S.; Yu, J.; Routledge, I.; Wang, L.; Zheng, Y.; Tatem, A.J.; Li, Z.: 2019. Changing epidemiology and challenges of malaria in China towards elimination. Malaria Journal, 2019.18: article 107. DOI: 10.1186/s12936-019-2736-8

Wilkin, J.; Biggs, E.; Tatem, A.J.: 2019. Measurement of social networks for innovation within community disaster resilience. Sustainability, 2019.11(7): article 1943. DOI: 10.3390/su11071943

Utazi, C.E.; Thorley, J.; Alegana, V.A.; Ferrari, M.J.; Takahashi, S.; Metcalf, C.J.E.; Lessler, J.; Cutts, F.T.; Tatem, A.J.: 2019. Mapping vaccination coverage to explore the effects of delivery mechanisms and inform vaccination strategies. Nature Communications, 2019.10: article 1633. DOI: 10.1038/s41467-019-09611-1

Tessema, S.; Wesolowski, A.; Chen, A.; Murphy, M.; Wilheim, J.; Mupiri, A.R.; Ruktanonchai, N.W.; Alegana, V.A.; Tatem, A.J.; Tambo, M.; Didier, B.; Cohen, J.M.; Bennett, A.; Sturrock, H.J.W.; Gosling, R.; Hsiang, M.S.; Smith, D.L.; Mumbengegwi, D.R.; Smith, J.L.; Greenhouse, B.: 2019. Using parasite genetic and human mobility data to infer local and cross-border malaria connectivity in Southern Africa. eLife, 2019.8: article e43510. DOI: 10.7554/eLife.43510

Shan, X.; Lai, S.; Liao, H.; Li, Z.; Lan,Y.; Yang, W.: 2019. The epidemic potential of avian influenza A (H7N9) virus in humans in mainland China: a two-stage risk analysis. PLOS One, 2019.14(4): article e0215857. DOI: 10.1371/journal.pone.0215857

Routledge, I.; Lai, S.; Battle, K.E.; Ghani, A.C.; Gomez-Rodriguez, M.; Gustafson, K.B.; Mishra, S.; Proctor, J.L.; Tatem, A.J.; Li, Z; Bhatt, S.: 2019. Tracking progress towards malaria elimination in China: estimates of reproduction numbers and their spatiotemporal variation. bioRxiv (preprints). DOI: 10.1101/628842

Floyd, J.R.; Ruktanonchai, N.W.; Wardrop, N.; Tatem, A.J.; Ogola, J.; Fèvre, E.M.: 2019. Exploring fine-scale human and livestock movement in western Kenya. One Health, 2019.7: article 100081. DOI: 10.1016/j.onehlt.2019.100081

Lloyd, C.T.; Chamberlain, H.; Kerr, D.; Yetman, G.; Pistolesi, L.; Stevens, F.R.; Gaughan, A.E.; Nieves, J.J.; Hornby, G.; MacManus, K.; Sinha, P.; Bondarenko, M.; Sorichetta, A.; Tatem, A.J.: 2019. Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets. Big Earth Data, 2019.3(2): pp. 108-139. DOI: 10.1080/20964471.2019.1625151

Ley, S.; Gaughan, A.E.; Adamo, S.B.; de Sherbinin, A.; Balk, D.; Freire, S.; Rose, A.; Stevens, F.R.; Blankespoor, B.; Frye, C.; Comenetz, J.; Sorichetta, A.; MacManus, K.; Pistolesi, L.; Levy, M.; Tatem, A.J.; Pesaresi, M.: 2019. The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use. Earth System Science Data, 2019.11: pp. 1385-1409. DOI: 10.5194/essd-11-1385-2019

Gaughan, A.E.; Oda, T.; Sorichetta, A.; Stevens, F.R.; Bondarenko, M.; Bun, R.; Krauser, L.; Yetman, G.; Nghiem, S.V.: 2019. Evaluating nighttime lights and population distribution as proxies for mapping anthropogenic CO2 emission in Vietnam, Cambodia and Laos. Environmental Research Communications: article 091006. DOI: 10.1088/2515-7620/ab3d91

Lourenço, C.; Tatem, A.J.; Atkinson, P.M.; Cohen, J.M.; Pindolia, D.; Bhavnani, D.; Le Menach, A.: 2019. Strengthening surveillance systems for malaria elimination: a global landscaping of system performance, 2015–2017. Malaria Journal, 2019.18: article 315. DOI: 10.1186/s12936-019-2960-2

Stevens, F.R.; Gaughan, A.E.; Nieves, J.J.; King, A.; Sorichetta, A.; Linard, C.; Tatem, A.J.: 2019. Comparisons of two global built area land cover datasets in methods to disaggregate human population in eleven countries from the Global South. International Journal of Digital Earth, 2020.13(1): pp. 78-100. DOI: 10.1080/17538947.2019.1633424

Nieves, J.J.; Sorichetta, A.; Linard, C.; Bondarenko, M.; Steele, J.; Stevens, F.; Gaughan, A.E.; Carioli, A.; Clarke, D.; Esch, T.; Tatem, A.J.: 2019. Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night. Computers, Environment and Urban Systems, 2020.80: article 101444. DOI: 10.1016/j.compenvurbsys.2019.101444

Thomson, D.R.; Linard, C.; Vanhuysse, S.; Steele, J.E.; Shimoni, M.; Siri, J.; Teixeira Caiaffa, W.; Rosenberg, M.; Wolff, E.; Grippa, T.; Georganos, S.; Elsey, H.: 2019. Extending data for urban health decision-making: a menu of new and potential neighborhood-level health determinants datasets in LMICs. Journal of Urban Health, 2019.96: pp. 514-536. DOI: 10.1007/s11524-019-00363-3

Zhang, J.; Klepac, P.; Read, J.M.; Rosello, A.; Wang, X.; Lai, S.; Li, M.; Song, Y.; Wei, Q.; Jiang, H.; Yang, J.; Lynn, H.; Flasche, S.; Jit, M.; Yu, H.: 2019. Patterns of human social contact and contact with animals in Shanghai, China. Scientific Reports, 2019.9: article 15141. DOI: 10.1038/s41598-019-51609-8

Thomson, D.; Kuffer, M.; Boo, G.; Hati, B.; Grippa, T.; Elsey, H.; Linard, C.; Mahabir, R.; Kyobutungi, C.; Maviti, J.; Mwaniki, D.; Ndugwa, R.; Makau, J.; Sliuzas, R.; Cheruiyot, S.; Nyambuga, K.; Mboga, N.; Wanjiru, N.; Porto de Albuquerque, J.; Kabaria, C.: 2019. Critical commentary - Need for an integrated deprived area “slum” mapping system (IDeAMapS) in LMICs. Preprints. DOI: 10.20944/preprints201910.0242.v2

Palacios-Lopez, D.; Bachofer, F.; Esch, T.; Heldens, W.; Hirner, A.; Marconcini, M.; Sorichetta, A.; Zeidler, J.; Kuenzer, C.; Dech, S.; Tatem, A.J.; Reinartz, P.: 2019. New perspectives for mapping global population distribution using world settlement footprint products. Sustainability, 2019.11(21): article 6056. DOI: 10.3390/su11216056

Kugler, T.A.; Grace, K.; Wrathall, D.J.; de Sherbinin, A.; van Riper, D.; Aubrecht, C.; Comer, D.; Adamo, S.B.; Cervone, G.; Engstrom, R.; Hultquist, C.; Gaughan, A.E.; Linard, C.; Moran, E.; Stevens, F.; Tatem, A.J.; Tellman, B.; van den Hoek, J.: 2019. People and pixels 20 years later: the current data landscape and research trends blending population and environmental data. Population and Environment, 2019.41: pp. 209-234. DOI: 10.1007/s11111-019-00326-5

Cutts, F.T.; Dansereau, E.; Ferrari, M.J.; Hanson, M.; McCarthy, K.A.; Metcalf, C.J.E.; Takahashi, S.; Tatem, A.J.; Thakkar, N.; Truelove, S.; Utazi, E.; Wesolowski, A.; Winter, A.K.: 2019. Using models to shape measles control and elimination strategies in low- and middle-income countries: a review of recent applications. Vaccine, 2020.38(5): pp. 979-992. DOI: 10.1016/j.vaccine.2019.11.020

Nieves, J.J.; Bondarenko, M.; Sorichetta, A.; Steele, J.E.; Kerr, D.; Carioli, A.; Stevens, F.R.; Gaughan, A.E.; Tatem, A.J.: 2019. Annual projections of future built-settlement expansion using relative changes in projected small area population and short time-series of built-extents. Preprints. DOI: 10.20944/preprints201912.0007.v1

Jochem, W.C.; Bird, T.J.; Tatem, A.J.: 2018. Identifying residential neighbourhood types from settlement points in a machine learning approach. Computers, Environment and Urban Systems, 2018.69: pp. 104-113. DOI: 10.1016/j.compenvurbsys.2018.01.004

Utazi, C.E.; Thorley, J.; Alegana, V.A.; Ferrari, M.J.; Takahashi, S.; Metcalf, C.J.E.; Lessler, J.; Tatem, A.J.: 2018. High resolution age-structured mapping of childhood vaccination coverage in low and middle income countries. Vaccine, 2018.36(12): pp. 1583-1591. DOI: 10.1016/j.vaccine.2018.02.020

Buckee, C.O.; Cardenas, M.I.E.; Corpuz, J.; Ghosh, A.; Haque, F.; Karim, J.; Mahmud, A.S.; Maude, R.J.; Mensah, K.; Motaze, N.V.; Nabaggala, M.; Metcalf, C.J.E.; Mioramalala, S.A.; Mubiru, F.; Peak, C.M.; Pramanik, S.; Rakotondramanga, J.M.; Remera, E.; Sinha, I.; Sovannaroth, S.; Tatem, A.J.; Zaw, W.: 2018. Productive disruption: opportunities and challenges for innovation in infectious disease surveillance. BMJ Global Health, 2018.3(1): article e000538. DOI: 10.1136/bmjgh-2017-000538

Strano, E.; Viana, M.P.; Sorichetta, A.; Tatem, A.J.: 2018. Mapping road network communities for guiding disease surveillance and control strategies. Scientific Reports, 2018.8: article 4744. DOI: 10.1038/s41598-018-22969-4

Wardrop, N.A.; Jochem, W.C.; Bird, T.J.; Chamberlain, H.R.; Clarke, D.; Kerr, D.; Bengtsson, L.; Juran, S.; Seaman, V.; Tatem, A.J.: 2018. Spatially disaggregated population estimates in the absence of national population and housing census data. Proceedings of the National Academy of Sciences, 2018.115(14): pp. 3529-3537. DOI: 10.1073/pnas.1715305115

Wesolowski, A.; Winter, A.; Tatem, A.J.; Qureshi, T.; Engø-Monsen, K.; Buckee, C.O.; Cummings, D.A.T.; Metcalf, C.J.E.: 2018. Measles outbreak risk in Pakistan: exploring the potential of combining vaccination coverage and incidence data with novel data-streams to strengthen control. Epidemiology and Infection, 2018.146(12): pp. 1575-1583. DOI: 10.1017/S0950268818001449

Zagatti, G.A.; Gonzalez, M.; Avner, P.; Lozano-Gracia, N.; Brooks, C.J.; Albert, M.; Gray, J.; Antos, S.E.; Burci, P.; zu Erbach-Schoenberg, E.; Tatem, A.J.; Wetter, E.; Bengtsson, L.: 2018. A trip to work: estimation of origin and destination of commuting patterns in the main metropolitan regions of Haiti using CDR. Development Engineering, 2018.3: pp. 133-165. DOI: 10.1016/j.deveng.2018.03.002

Reed, F.J.; Gaughan, A.E.; Stevens, F.R.; Yetman, G.; Sorichetta, A.; Tatem, A.J.: 2018. Gridded population maps informed by different built settlement products. Data, 2018.3(3): article 33. DOI: 10.3390/data3030033

James, W.H.M.; Tejedor-Garavito, N.; Hanspal, S.E.; Campbell-Sutton, A.; Hornby, G.M.; Pezzulo, C.; Nilsen, K.; Sorichetta, A.; Ruktanonchai, C.W.; Carioli, A.; Kerr, D.; Matthews, Z.; Tatem, A.J.: 2018. Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean. Scientific Data, 2018.5: article 180090. DOI: 10.1038/sdata.2018.90

Ruktanonchai, C.W.; Nilsen, K.; Alegana, V.A.; Bosco, C.; Ayiko, R.; Seven Kajeguka, A.C.; Matthews, Z.; Tatem, A.J.: 2018. Temporal trends in spatial inequalities of maternal and newborn health services among four east African countries, 1999–2015. BMC Public Health, 2018.18: article 1339. DOI: 10.1186/s12889-018-6241-8

Alegana, V.A.; Maina, J.; Ouma, P.O.; Macharia, P.M.; Wright, J.; Atkinson, P.M.; Okiro, E.A.; Snow, R.W.; Tatem, A.J.: 2018. National and sub-national variation in patterns of febrile case management in sub-Saharan Africa. Nature Communications, 2018.9: article 4994. DOI: 10.1038/s41467-018-07536-9

Tatem, A.J.: 2018. Innovation to impact in spatial epidemiology. BMC Medicine, 2018.16: article 209. DOI: 10.1186/s12916-018-1205-5

Bharti, N.; Tatem, A.J.: 2018. Fluctuations in anthropogenic nighttime lights from satellite imagery for five cities in Niger and Nigeria. Scientific Data, 2018.5: article 180256. DOI: 10.1038/sdata.2018.256

Lai, S.; Johansson, M.A.; Yin, W.; Wardrop, N.A.; van Panhuis, W.G.; Wesolowski, A.; Kraemer, M.U.G.; Bogoch, I.I.; Kain, D.; Findlater, A.; Choisy, M.; Huang, Z.; Mu, D.; Li, Y.; He, Y; Chen, Q.; Yang, J.; Khan, K.; Tatem, A.J.; Yu, H.: 2018. Seasonal and interannual risks of dengue introduction from South-East Asia into China, 2005-2015. PLOS Neglected Tropical Diseases, 2018.12(11): article e0006743. DOI: 10.1371/journal.pntd.0006743

Utazi, C.E.; Thorley, J.; Alegana, V.A.; Ferrari, M.J.; Nilsen, K.; Takahashi, S.; Metcalf, C.J.E.; Lessler, J.; Tatem, A.J.: 2018. A spatial regression model for the disaggregation of areal unit based data to high-resolution grids with application to vaccination coverage mapping. Statistical Methods in Medical Research, 2019.28(10-11): pp. 3226–3241. DOI: 10.1177/0962280218797362

Ouma, P.O.; Maina, J.; Thuranira, P.N.; Macharia, P.M.; Alegana, V.A.; English, M.; Okiro, E.A.; Snow, R.W.: 2018. Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis. The Lancet Global Health, 2018.6(3): pp. e342-e350. DOI: 10.1016/S2214-109X(17)30488-6