Chibuzor Christopher Nnanatu

AgePopDenom: Geostatistical Modeling for Fine-Scale Population Age-Structures

Mohamed Yusuf, Victor A. Alegana, Chibuzor Christopher Nnanatu, Andrew J. Tatem

An R package that generates high-resolution (5 km x 5 km) estimates of population by single year of age using Demographic and Health Surveys, WorldPop gridded population data, and administrative boundaries.

Égypte, Congo, Nigéria, gb (code pays fourni par la source)

AgePopDenom: Geostatistical Modeling for Fine-Scale Population Age-Structures

Mohamed Yusuf, Victor A. Alegana, Chibuzor Christopher Nnanatu, Andrew J. Tatem

An R package that generates high-resolution (5 km x 5 km) estimates of population by single year of age using Demographic and Health Surveys, WorldPop gridded population data, and administrative boundaries.

Égypte, Congo, Nigéria, gb (code pays fourni par la source)

Advances in small area population estimation in the absence of national census data

Andrew J. Tatem, Gianluca Boo, Heather Chamberlain, Chibuzor Christopher Nnanatu et autres

Population data at small area scales are essential for effective decision-making, influencing public health, disaster response, and resource allocation, among others. While national censuses remain the cornerstone of population data, they are often constrained by high costs, infrequent collection cycles, and coverage …

gb, us (code pays fourni par la source)

Assessing Feature Selection Strategies in INLA: TraditionalStepwise Regression versus Machine Learning

Xiangyue Huo, Chibuzor Christopher Nnanatu

gb (code pays fourni par la source)

Where and why malaria persists in heterogeneous transmission settings: insights from routine health facility data

Camille Morlighem, Corentin Visée, Chibuzor Christopher Nnanatu, Mame Wodji Tine et autres

BACKGROUND: Malaria distribution in sub-Saharan Africa is becoming increasingly spatially heterogeneous. Pre-elimination areas, high-transmission settings and urban areas with increasing transmission may all coexist within the same country. Effective intervention planning requires identifying high-risk areas and their drivers-an area in which geospatial …

be, fr, Nigéria, gb, Sénégal (code pays fourni par la source)

National Small-Area Population Estimation Modelling Using Partial Coverage Health Intervention Campaign Data

Chibuzor Christopher Nnanatu, Assane Gadiaga, Olayinka O. Oke, Attila N. Lázár et autres

Small-area population data underpin efficient resource allocation but are often unavailable where censuses are outdated or absent. We present a generalizable geostatistical model-based computational technique for estimating population counts from limited, imperfectly observed health intervention campaign data. The approach embeds a robust …

Spatio-temporal modelling of COVID-19 infection and associated risk factors in Dakar, Senegal

Assane Gadiaga, Mame Wodji Tine, Aminata Niang Diène, Catherine Linard et autres

Infectious diseases are a major threat to global health and economy and the recent COVID-19 pandemic is a perfect example of this. Appropriate modelling and accurate prediction of the outcome of disease spread over time and across space are critical steps towards …

gb, Sénégal, Mali, be (code pays fourni par la source)

Seabird prey in space and time: Combining multiple datasets to model the distribution of sandeel (Ammodytes marinus) and sprat (Sprattus sprattus) in the North Sea

Sylvan Benaksas, Christopher P. Lynam, Francis Daunt, Chibuzor Christopher Nnanatu et autres

Many seabird populations along the UK’s East Coast have declined over the past three decades. A key concern is reduced availability of their primary breeding season prey, sandeel (Ammodytes marinus). While some seabirds have partially switched to sprat (Sprattus sprattus), this is …

gb (code pays fourni par la source)

Advances in Small Area Population Estimation in the Absence of National Census Data

Attila N. Lázár, Gianluca Boo, Heather Chamberlain, Chibuzor Christopher Nnanatu et autres

Population data at small area scales are essential for effective decision-making, influencing public health, disaster response, and resource allocation, amongst others. While national censuses remain the cornerstone of population data, they are often constrained by high costs, infrequent collection cycles, and coverage …

Tackling public health data gaps through Bayesian high-resolution population estimation: A case study of Kasaï-Oriental, Democratic Republic of the Congo

Gianluca Boo, Édith Darin, Heather Chamberlain, Roland Hosner et autres

Most low- and middle-income countries face significant public health challenges, exacerbated by the lack of reliable demographic data supporting effective planning and intervention. In such data-scarce settings, statistical models combining geolocated survey data with geospatial datasets enable the estimation of population counts …

gb, se, République démocratique du Congo, Madagascar (code pays fourni par la source)

Integrating vulnerability and hazard in malaria risk mapping: the elimination context of Senegal

Camille Morlighem, Chibuzor Christopher Nnanatu, Justice Moses K. Aheto, Catherine Linard

BACKGROUND: Significant efforts over the past decades have successfully reduced the global burden of malaria. However, progress has stalled since 2015. In low-transmission settings, the traditional distribution of malaria along vector suitability gradients is shifting to a new profile, with the emergence …

be, Nigéria, gb, Ghana, us (code pays fourni par la source)

Advances in Small Area Population Estimation in the Absence of National Census Data

Attila N. Lázár, Gianluca Boo, Heather Chamberlain, Chibuzor Christopher Nnanatu et autres

Population data at small area scales are essential for effective decision-making, affecting public health, disaster response, and resource allocation, amongst other issues. While national censuses remain the foundational source of population data, they may face challenges such as high cost, infrequency, and …

gb, pa (code pays fourni par la source)