Feedback control theory for engineers / by 397409 Atkinson, P.

Feedback control theory for engineers/ by 397409 Atkinson, P.

Surgical excision of periocular basal cell carcinomas by Taherian K, Shekarchian M, Atkinson P

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Athletics: momentous sprint at the 2156 Olympics? by Tatem, A, Guerra, C, Atkinson, P, Hay, S

Urbanization, malaria transmission and disease burden in Africa. by Hay, S, Guerra, C, Tatem, A, Atkinson, P, Snow, R

Investigating spatial structure in specific tree species in ancient semi-natural woodland using remote sensing and marked point pattern analysis by Atkinson, P, Foody, G, Gething, P, Mathur, A, Kelly, C

Identification of specific tree species in ancient semi-natural woodland from digital aerial sensor imagery by Foody, G, Atkinson, P, Gething, P, Ravenhill, N, Kelly, C

Modelling distances travelled to government health services in Kenya. by Noor, A, Amin, A, Gething, P, Atkinson, P, Hay, S, Snow, R

A local space-time kriging approach applied to a national outpatient malaria data set by Gething, P, Atkinson, P, Noor, A, Gikandi, P, Haye, S, Nixon, MS

Modelling distances travelled to government health services in Kenya by Noor, A, Amin, A, Gething, P, Atkinson, P, Hay, S, Snow, R

Spatial modelling of healthcare utilisation for treatment of fever in Namibia by Alegana, V, Wright, J, Pentrina, U, Noor, A, Snow, R, Atkinson, P

Spatial modelling of healthcare utilisation for treatment of fever in Namibia. by Alegana, V, Wright, J, Pentrina, U, Noor, A, Snow, R, Atkinson, P

How did UK policymaking in the COVID-19 response use science? Evidence from scientific advisers by Atkinson, P, Sheard, HMS, Martindale, A-M, Solomon, T, Borek, A, Pilbeam, C

Understanding the policy dynamics of COVID-19 in the UK: early findings from interviews with policy makers and health care professionals by Atkinson, P, Gobat, N, Lant, S, Mableson, H, Pilbeam, C, Solomon, T, Tonkin-Crine, S, Sheard, S

Spatial predictions of Rhodesian Human African Trypanosomiasis (sleeping sickness) prevalence in Kaberamaido and Dokolo, two newly affected districts of Uganda by Batchelor, N, Atkinson, P, Gething, P, Picozzi, K, Fèvre, E, Kakembo, A, Welburn, S

Bayesian geostatistical analysis and prediction of Rhodesian human African trypanosomiasis by Wardrop, N, Atkinson, P, Gething, P, Fèvre, E, Picozzi, K, Kakembo, A, Welburn, S

Developing geostatistical space-time models to predict outpatient treatment burdens from incomplete national data. by Gething, P, Noor, A, Gikandi, P, Hay, S, Nixon, MS, Snow, R, Atkinson, P

Empirical modelling of government health service use by children with fevers in Kenya. by Gething, P, Noor, A, Zurovac, D, Atkinson, P, Hay, S, Nixon, MS, Snow, R

Bayesian geostatistical analysis and prediction of rhodesian human African trypanosomiasis by Wardrop, N, Atkinson, P, Gething, P, Fèvre, E, Picozzi, K, Kakembo, A, Welburn, S

Information for decision making from imperfect national data: tracking major changes in health care use in Kenya using geostatistics by Gething, P, Noor, A, Goodman, C, Gikandi, P, Hay, S, Sharif, S, Atkinson, P, Snow, R