Literature DB >> 24415606

Profile: the Mbita health and demographic surveillance system.

Sheru Wanyua1, Morris Ndemwa, Kensuke Goto, Junichi Tanaka, James K'opiyo, Silas Okumu, Paul Diela, Satoshi Kaneko, Mohamed Karama, Yoshio Ichinose, Masaaki Shimada.   

Abstract

The Mbita Health and Demographic Surveillance System (Mbita HDSS), located on the shores of Lake Victoria in Kenya, was established in 2006. The main objective of the HDSS is to provide a platform for population-based research on relationships between diseases and socio-economic and environmental factors, and for the evaluation of disease control interventions. The Mbita HDSS had a population of approximately 54 014 inhabitants from 11 576 households in June 2013. Regular data are collected using personal digital assistants (PDAs) every 3 months, which includes births, pregnancies, migration events and deaths. Coordinates are taken using geographical positioning system (GPS) units to map all dwelling units during data collection. Cause of death is inferred from verbal autopsy questionnaires. In addition, other health-related data such as vaccination status, socio-economic status, water sources, acute illness and bed net distribution are collected. The HDSS has also provided a platform for conducting various other research activities such as entomology studies, research on neglected tropical diseases, and environmental health projects which have benefited the organization as well as the HDSS community residents. Data collected are shared with the community members, health officials, local administration and other relevant organizations. Opportunities for collaboration and data sharing with the wider research community are available and those interested should contact shimadam@nagasaki-u.ac.jp or mhmdkarama@yahoo.com.

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Year:  2013        PMID: 24415606     DOI: 10.1093/ije/dyt180

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  7 in total

1.  Variation in rotavirus vaccine coverage by sub-counties in Kenya.

Authors:  Ernest Apondi Wandera; Shah Mohammad; John Odhiambo Ouko; James Yatitch; Koki Taniguchi; Yoshio Ichinose
Journal:  Trop Med Health       Date:  2017-04-24

2.  Towards an appropriate ethics framework for Health and Demographic Surveillance Systems (HDSS): learning from issues faced in diverse HDSS in sub-Saharan Africa.

Authors:  Alex Nginyo Hinga; Sassy Molyneux; Vicki Marsh
Journal:  BMJ Glob Health       Date:  2021-01

3.  Protective effects of Olyset® Net on Plasmodium falciparum infection after three years of distribution in western Kenya.

Authors:  Noriko Tamari; Noboru Minakawa; George O Sonye; Beatrice Awuor; James O Kongere; Muneaki Hashimoto; Masatoshi Kataoka; Stephen Munga
Journal:  Malar J       Date:  2020-10-19       Impact factor: 2.979

4.  Maternal and neonatal data collection systems in low- and middle-income countries for maternal vaccines active safety surveillance systems: A scoping review.

Authors:  Mabel Berrueta; Agustin Ciapponi; Ariel Bardach; Federico Rodriguez Cairoli; Fabricio J Castellano; Xu Xiong; Andy Stergachis; Sabra Zaraa; Ajoke Sobanjo-Ter Meulen; Pierre Buekens
Journal:  BMC Pregnancy Childbirth       Date:  2021-03-17       Impact factor: 3.007

5.  Pregnancy Surveillance Methods within Health and Demographic Surveillance Systems.

Authors:  Christie Kwon; Abu Mohd Naser; Hallie Eilerts; Georges Reniers; Solveig Argeseanu Cunningham
Journal:  Gates Open Res       Date:  2021-09-13

6.  Innovative tools and OpenHDS for health and demographic surveillance on Rusinga Island, Kenya.

Authors:  Tobias Homan; Aurelio Di Pasquale; Ibrahim Kiche; Kelvin Onoka; Alexandra Hiscox; Collins Mweresa; Wolfgang R Mukabana; Willem Takken; Nicolas Maire
Journal:  BMC Res Notes       Date:  2015-09-01

7.  Lessons learned from setting up the Nahuche Health and Demographic Surveillance System in the resource-constrained context of northern Nigeria.

Authors:  Olatunji Alabi; Henry V Doctor; Godwin Y Afenyadu; Sally E Findley
Journal:  Glob Health Action       Date:  2014-05-07       Impact factor: 2.640

  7 in total

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