Evidence map›Paper›PMID 36468597›Full record

ArticleGeospatial health2022

Immunity to poliovirus in Afghanistan: A household sampling method for serological assessment based on geographical information systems.

Amalia Mendes, Ari Whiteman, Benjamin Nygren, Brian Kaplan, Imtiaz Hussain, Sajid Soofi, Maureen Martinez, Noha H Farag

Open access · goldAbstract read
In one paragraph

Article in Geospatial health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 45% of its field
1 · What the graph read from it

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 5 countries.

Amalia MendesGeospatial Research Analysis and Services Program, Office of Innovation and Analytics, Agency for Toxic Substance and Disease Registry, Atlanta. opf9@cdc.gov.
Ari WhitemanGeospatial Research Analysis and Services Program, Office of Innovation and Analytics, Agency for Toxic Substance and Disease Registry, Atlanta. osa0@cdc.gov.
Benjamin NygrenPolio Eradication Branch, Global Immunization Division, Centers for Disease Control and Prevention, Atlanta. ghz8@cdc.gov.
Brian KaplanGeospatial Research Analysis and Services Program, Office of Innovation and Analytics, Agency for Toxic Substance and Disease Registry, Atlanta. bck2@cdc.gov.
Imtiaz HussainDepartment of Pediatrics and Child Health, Aga Khan University, Karachi. imtiaz.hussain@aku.edu.
Sajid SoofiDepartment of Pediatrics and Child Health, Aga Khan University, Karachi. sajid.soofi@aku.edu.
Maureen MartinezPolio Eradication Branch, Global Immunization Division, Centers for Disease Control and Prevention, Atlanta. ivx2@cdc.gov.
Noha H FaragPolio Eradication Branch, Global Immunization Division, Centers for Disease Control and Prevention, Atlanta. iym0@cdc.gov.
Agency for Toxic Substances and Disease Registry · USAga Khan University · PKNational Center for Immunization and Respiratory Diseases · USCenters for Disease Control and Prevention · UG

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Afghanistan continues to experience challenges affecting polio eradication. Mass polio vaccination campaigns, which aim to protect children under the age of 5, are a key eradication strategy. To date, the polio program in Afghanistan has only employed facility-based seroprevalence surveys, which can be subject to sampling bias. We describe the feasibility in implementing a cross-sectional household poliovirus seroprevalence survey based on geographical information systems (GIS) in three districts. Digital maps with randomly selected predetermined starting points were provided to teams, with a total target of 1,632 households. Teams were instructed to navigate to predetermined starting points and enrol the closest household within 60 m. To assess effectiveness of these methods, we calculated percentages for total households enrolled with valid geocoordinates collected within the designated boundary, and whether the Euclidean distance of households were within 60 m of a predetermined starting point. A normalized difference vegetation index (NDVI) image ratio was conducted to further investigate variability in team performances. The study enrolled a total of 78% of the target sample with 52% of all households within 60 m of a pre-selected point and 79% within the designated cluster boundary. Success varied considerably between the four target areas ranging from 42% enrolment of the target sample in one place to 90% enrolment of the target sample in another. Interviews with the field teams revealed that differences in security status and amount of non-residential land cover were key barriers to higher enrolment rates. Our findings indicate household poliovirus seroprevalence surveys using GIS-based sampling can be effectively implemented in polio endemic countries to capture representative samples. We also proposed ways to achieve higher success rates if these methods are to be used in the future, particularly in areas with concerns of insecurity or spatially dispersed residential units.

Indexed as

PoliomyelitisPoliovirusAfghanistanChild, PreschoolCross-Sectional StudiesGeographic Information SystemsHumansInfantSeroepidemiologic Studies

Identifiers

PMID36468597
PMCPMC11700011
OpenAlexW4310810585

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.