Statistical Methods in Reproductive, Maternal, Newborn, Child and Adolescent Health Research
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 1034
Special Issue Editor
Interests: applied statistics; spatial and spatiotemporal statistics; bayesian modelling and computation; time series analysis; household surveys; administrative data
Special Issue Information
Dear Colleagues,
Improving reproductive, maternal, newborn, child and adolescent health (RMNCAH) is crucial to combating diseases, reducing mortality, eliminating poverty and accelerating progress towards the Sustainable Development Goals (SDGs). Statistical methods play a crucial role in building the evidence base for measuring, monitoring and evaluating progress towards achieving equity in RMNCAH, and contributing to related key policy issues. This Special Issue aims to publish peer-reviewed papers that address the development and application of statistical methods to improve RMNCAH, with a special focus on low and middle-income settings.
Topics to be covered include (but are not limited to): access to healthcare, immunization, infectious diseases, health care in fragile and deprived settings, effect of migration on RMNCAH, evaluation of interventions to improve RMNCAH, spatial, temporal and spatiotemporal analysis of RMNCAH indicators (including mortality and morbidity), machine learning methods, denominator estimation, routine/administrative data analysis and survey design and implementation to estimate RMNCAH indicators.
We encourage papers that address the development of statistical methodology or include novel applications in these areas.
Dr. Chigozie Edson Utazi
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- RMNCAH indicator estimation
- access to healthcare
- administrative data analysis
- household survey data
- spatial and spatiotemporal modelling
- machine learning methods
- denominator estimation
- related infectious diseases
