Innovative tools and OpenHDS for health and demographic surveillance on Rusinga Island, Kenya.
BACKGROUND
Health in low and middle income countries is on one hand characterized by a high burden associated with preventable communicable diseases and on the other hand considered to be under-documented due to improper basic health and demographic record-keeping. health and demographic surveillance systems (HDSSs) have provided researchers, policy makers and governments with data about local population dynamics and health related information. In order for an HDSS to deliver high quality data, effective organization of data collection and management are vital. HDSSs impose a challenging logistical process typically characterized by door to door visits, poor navigational guidance, conducting interviews recorded on paper, error prone data entry, an extensive staff and marginal data quality management possibilities.


METHODS
A large trial investigating the effect of odour-baited mosquito traps on malaria vector populations and malaria transmission on Rusinga Island, western Kenya, has deployed an HDSS. By means of computer tablets in combination with Open Data Kit and OpenHDS data collection and management software experiences with time efficiency, cost effectiveness and high data quality are illustrate. Step by step, a complete organization of the data management infrastructure is described, ranging from routine work in the field to the organization of the centralized data server.


CONCLUSIONS
Adopting innovative technological advancements has enabled the collection of demographic and malaria data quickly and effectively, with minimal margin for errors. Real-time data quality controls integrated within the system can lead to financial savings and a time efficient work flow.


CONCLUSIONS
This novel method of HDSS implementation demonstrates the feasibility of integrating electronic tools in large-scale health interventions.
Laboratory of Entomology, Wageningen University and Research Centre, Wageningen, The Netherlands. tobias.homan@wur.nl.
Tobias
T
Homan
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland. aurelio.dipasquale@unibas.ch.|University of Basel, Basel, Switzerland. aurelio.dipasquale@unibas.ch.
Aurelio
A
Di Pasquale
Department of Medical Entomology, International Centre of Insect Physiology and Ecology, Nairobi, Kenya. ibrahimkiche@yahoo.com.
Ibrahim
I
Kiche
Department of Medical Entomology, International Centre of Insect Physiology and Ecology, Nairobi, Kenya. kaonoka@yahoo.com.
Kelvin
K
Onoka
Laboratory of Entomology, Wageningen University and Research Centre, Wageningen, The Netherlands. alexandra.hiscox@wur.nl.
Alexandra
A
Hiscox
Department of Medical Entomology, International Centre of Insect Physiology and Ecology, Nairobi, Kenya. cmweresa@icipe.org.
Collins
C
Mweresa
Department of Medical Entomology, International Centre of Insect Physiology and Ecology, Nairobi, Kenya. rmukabana@uonbi.ac.ke.|School of Biological Sciences, University of Nairobi, Nairobi, Kenya. rmukabana@uonbi.ac.ke.
Wolfgang R
WR
Mukabana
Laboratory of Entomology, Wageningen University and Research Centre, Wageningen, The Netherlands. willem.takken@wur.nl.
Willem
W
Takken
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland. nicolas.maire@unibas.ch.|University of Basel, Basel, Switzerland. nicolas.maire@unibas.ch.
Nicolas
N
Maire
D003710:Demography; D040362:Geographic Information Systems; D006305:Health Status Indicators; D006801:Humans; D007630:Kenya / Q000453:epidemiology; D008288:Malaria / Q000453:epidemiology*; D011159:Population Surveillance