Trial reportBulletin of the World Health Organization2014
Sampling at community level by using satellite imagery and geographical analysis.
Trial report in Bulletin of the World Health Organization, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04419766 (Evaluation of IR3535 as a Spatial Repellent for Malaria Control.), which is not on this map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evaluation of IR3535 as a Spatial Repellent for Malaria Control. (Avaliação da eficácia do Repelente Ambiental 3-(N-acetyl-n-butyl) Aminopropionic Acid Ethyl Ester (IR3535) Como Ferramenta Para o Controlo da malária).
Who cites it
19 citing papers in PubMed.
- Treatment Coverage Estimation for Mass Drug Administration for Malaria with Dihydroartemisinin-Piperaquine in Southern Province, Zambia.The American journal of tropical medicine and hygiene · 2020Trial
- Trial
- Implementation of digital technology solutions for a lung health trial in rural Malawi.The European respiratory journal · 2016Trial
- What are the factors affecting primary care choice when the access under health insurance scheme is limited?: a cross-sectional study in Bandung, Indonesia.BMC primary care · 2024Article
- Prevalence of SARS-CoV-2 in urban and rural Ethiopia: Randomized household serosurveys reveal level of spread during the first wave of the pandemic.EClinicalMedicine · 2021Article
- Novel transdisciplinary methodology for cross-sectional analysis of snakebite epidemiology at national scale.PLoS neglected tropical diseases · 2021Article
- Using Google Earth™ and Geographical Information System data as method to delineate sample domains for an urban household surveys: the case of Maroua (Far North Region-Cameroon).International journal of health geographics · 2019Article
- The Typhoid Fever Surveillance in Africa Program: Geospatial Sampling Frames for Household-based Studies: Lessons Learned From a Multicountry Surveillance Network in Senegal, South Africa, and Sudan.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019Article
- Sampling strategy of an epidemiological survey using a satellite image program.Revista de saude publica · 2019Article
- Developing a representative community health survey sampling frame using open-source remote satellite imagery in Mozambique.International journal of health geographics · 2018Article
- Use of mobile technology-based participatory mapping approaches to geolocate health facility attendees for disease surveillance in low resource settings.International journal of health geographics · 2018Article
- Accuracy and impact of spatial aids based upon satellite enumeration to improve indoor residual spraying spatial coverage.Malaria journal · 2018Article
- GridSample: an R package to generate household survey primary sampling units (PSUs) from gridded population data.International journal of health geographics · 2017Article
- Development of a spatial sampling protocol using GIS to measure health disparities in Bobo-Dioulasso, Burkina Faso, a medium-sized African city.International journal of health geographics · 2017Article
- Effects of community-level bed net coverage on malaria morbidity in Lilongwe, Malawi.Malaria journal · 2017Article
- Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011.Geospatial health · 2016Article
- Using remote, spatial techniques to select a random household sample in a dispersed, semi-nomadic pastoral community: utility for a longitudinal health and demographic surveillance system.International journal of health geographics · 2015Article
- Open-source satellite enumeration to map households: planning and targeting indoor residual spraying for malaria.Malaria journal · 2015Article
- Satellite-aided survey sampling and implementation in low- and middle-income contexts: a low-cost/low-tech alternative.Emerging themes in epidemiology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
problemTraditional random sampling at community level requires a list of every individual household that can be randomly selected in the study community. The longitudinal demographic surveillance systems often used as sampling frames are difficult to create in many resource-poor settings. APPROACH: We used Google Earth imagery and geographical analysis software to develop a sampling frame. Every household structure within the catchment area was digitized and assigned coordinates. A random sample was then generated from the list of households. LOCAL
settingThe sampling took place in Lilongwe, Malawi and formed a part of an investigation of the intensity of Plasmodium falciparum transmission in a multi-site Phase III trial of a candidate malaria vaccine. RELEVANT CHANGES: Creation of a complete list of household coordinates within the catchment area allowed us to generate a random sample representative of the population. Once the coordinates of the households in that sample had been entered into the hand-held receivers of a global positioning system device, the households could be accurately identified on the ground and approached. LESSONS LEARNT: In the development of a geographical sampling frame, the use of Google Earth satellite imagery and geographical software appeared to be an efficient alternative to the use of a demographic surveillance system. The use of a complete list of household coordinates reduced the time needed to locate households in the random sample. Our approach to generate a sampling frame is accurate, has utility beyond morbidity studies and appears to be a cost-effective option in resource-poor settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.