The RSS Nigeria Local Group is hosting a one-day virtual international conference for population data producers and users. The workshop is organised in collaboration with the Department of Statistics, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.
Dr Sandra Alba
Abstract: Geo-Referenced Infrastructure and Demographic Data (GRID) is an initiative initially developed in 2012 to support for polio eradication campaigns in Northern Nigeria. It has since been used in several other health campaigns in the country to provide better population estimations and to optimize the location of service delivery points. We conducted statistical analyses of existing health data (Demographic and Health Surveys, Lot Quality Assurance Surveys of Polio immunization campaigns, Post-Campaign Coverage Survey data of measles immunization campaigns) to assess whether GRID outputs lead to a significant increase in the effectiveness of Polio and measles vaccination campaigns between 2012 and 2018.
Dr Gajendra K Vishwakarma
Abstract: In surveys on sensitive matters, estimation of the population parameters with a direct questioning technique may cause respondents to refuse answering or to give untruthful answers on purpose. This can bring about significant bias in the estimation of population parameters. The use of scramble variable is considered herein randomized response technique to estimate the parameters of the sensitive variable. Scrambled response technique is used when the variables are quantitative and subjected to record with bias. We discuss improved procedure to compute the effect of measurement errors under additive scramble response of the sensitive variable, where the variables under study are assumed to be recorded with measurement error.
Dr Ahmed Audu
Abstract: The socio-economic development of a nation heavily depends on policies and interventions informed by available relevant population data. Sourcing this vital information from the population requires manpower, resources, access to population units, technology, etc. However, in developing countries like Nigeria, these requirements are mostly unobtainable due to insecurity, limited resources, lack of access to technology, etc. Thus, making the realization of relevant and adequate data needed for the actualization of socio-economic development a myth. Therefore, it is pertinent to seek urgent durable, and efficient alternatives to population data. In this regard, large-scale sample surveys can be a perfect substitute that can provide relevant and sufficient information that will inform policymakers on their decisions for sustainable socio-economic development.
Sponsored by:
Keynote speakers are as follows:
Dr Sandra Alba MSc, PhD, CStat (KIT Royal Tropical Institute, Amsterdam, Netherlands)
Dr Sandra Alba is an epidemiologist at KIT Royal Tropical Institute with a background in medical statistics. She has 15 years’ experience in the application of statistical and epidemiological methods to evaluate public health programmes primarily low- and middle-income countries.
Dr Gajendra K. Vishwakarma (Indian Institute of Technology Dhanbad, India)
Dr Vishwakarma is working as an associate professor in Department of Mathematics & Computing, Indian Institute of Technology Dhanbad, India with several years of academic as well as industrial research experience in the field of statistics. He has supervised ten Ph.D. thesis and published number of research papers in indexed journals so far.
Ahmed Audu (Department of Mathematics, Statistics Unit Usmanu Danfodiyo University, Sokoto, Nigeria)
Dr Ahmed Audu is currently a senior lecturer at the Department of Mathematics, Statistics Unit, Usmanu Danfodiyo University Sokoto, Nigeria. He specialized in Sample survey methods and techniques. He has published several papers and presented some at conferences in his area of study.