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

Homan T, Di Pasquale A, Kiche I, Onoka K, Hiscox A, Mweresa C, Mukabana WR, Takken W, Maire N - BMC Res Notes (2015)

Bottom Line: 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.This novel method of HDSS implementation demonstrates the feasibility of integrating electronic tools in large-scale health interventions.

View Article: PubMed Central - PubMed

Affiliation: Laboratory of Entomology, Wageningen University and Research Centre, Wageningen, The Netherlands. tobias.homan@wur.nl.

ABSTRACT

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.

Results and discussion: 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.

Conclusion: This novel method of HDSS implementation demonstrates the feasibility of integrating electronic tools in large-scale health interventions.

No MeSH data available.


Related in: MedlinePlus

Study site: Africa with Kenya highlighted dark grey; in the right upper corner Kenya with Homa Bay County highlighted; Homa Bay County with Rusinga Island tinted in dark grey
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Fig1: Study site: Africa with Kenya highlighted dark grey; in the right upper corner Kenya with Homa Bay County highlighted; Homa Bay County with Rusinga Island tinted in dark grey

Mentions: Rusinga Island with approximately 25,000 inhabitants, is located in Lake Victoria, western Kenya (0°21′ S and 0°26 south, 34°13′ and 34°07′ east). The island is administratively part of Homa Bay county in western Kenya (Fig. 1) and is connected to the mainland with a causeway. The land surface area of Rusinga Island is approximately 44 km2 with an elevation between 1100 and 1300 m above sea level. Average daily temperatures lie between 16 and 34 °C with temperatures higher during the dry seasons which occur between June and October and late December–February. The SolarMal project, including HDSS activities, operates through the International Centre of Insect Physiology and Ecology (icipe) at the village of Mbita Point just across the causeway, on the mainland. The population of Rusinga Island belongs to the Luo ethnic community and, besides the national language of Swahili, DhoLuo is primarily spoken. Fishing and farming are the principal occupations. There are several health facilities in the area; one public health centre, three government-run dispensaries and three private clinics. A district hospital is found at Mbita Point. Malaria transmission occurs throughout the year, with peaks in transmission at the end of the rainy seasons where parasite prevalence is around 30 % (WHO Country Profile 2013: Kenya, Malaria). Furthermore, schistosomiasis, filariasis, HIV, and tuberculosis are endemic on Rusinga (Central Bureau of Statistics MoPaND. Kenya Demographic and Health Survey 2003).Fig. 1


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

Homan T, Di Pasquale A, Kiche I, Onoka K, Hiscox A, Mweresa C, Mukabana WR, Takken W, Maire N - BMC Res Notes (2015)

Study site: Africa with Kenya highlighted dark grey; in the right upper corner Kenya with Homa Bay County highlighted; Homa Bay County with Rusinga Island tinted in dark grey
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4556052&req=5

Fig1: Study site: Africa with Kenya highlighted dark grey; in the right upper corner Kenya with Homa Bay County highlighted; Homa Bay County with Rusinga Island tinted in dark grey
Mentions: Rusinga Island with approximately 25,000 inhabitants, is located in Lake Victoria, western Kenya (0°21′ S and 0°26 south, 34°13′ and 34°07′ east). The island is administratively part of Homa Bay county in western Kenya (Fig. 1) and is connected to the mainland with a causeway. The land surface area of Rusinga Island is approximately 44 km2 with an elevation between 1100 and 1300 m above sea level. Average daily temperatures lie between 16 and 34 °C with temperatures higher during the dry seasons which occur between June and October and late December–February. The SolarMal project, including HDSS activities, operates through the International Centre of Insect Physiology and Ecology (icipe) at the village of Mbita Point just across the causeway, on the mainland. The population of Rusinga Island belongs to the Luo ethnic community and, besides the national language of Swahili, DhoLuo is primarily spoken. Fishing and farming are the principal occupations. There are several health facilities in the area; one public health centre, three government-run dispensaries and three private clinics. A district hospital is found at Mbita Point. Malaria transmission occurs throughout the year, with peaks in transmission at the end of the rainy seasons where parasite prevalence is around 30 % (WHO Country Profile 2013: Kenya, Malaria). Furthermore, schistosomiasis, filariasis, HIV, and tuberculosis are endemic on Rusinga (Central Bureau of Statistics MoPaND. Kenya Demographic and Health Survey 2003).Fig. 1

Bottom Line: 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.This novel method of HDSS implementation demonstrates the feasibility of integrating electronic tools in large-scale health interventions.

View Article: PubMed Central - PubMed

Affiliation: Laboratory of Entomology, Wageningen University and Research Centre, Wageningen, The Netherlands. tobias.homan@wur.nl.

ABSTRACT

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.

Results and discussion: 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.

Conclusion: This novel method of HDSS implementation demonstrates the feasibility of integrating electronic tools in large-scale health interventions.

No MeSH data available.


Related in: MedlinePlus