Precision mapping of schistosomiasis and soil-transmitted helminthiasis among school age children at the coastal region, Kenya.


Journal

PLoS neglected tropical diseases
ISSN: 1935-2735
Titre abrégé: PLoS Negl Trop Dis
Pays: United States
ID NLM: 101291488

Informations de publication

Date de publication:
01 2023
Historique:
received: 05 09 2022
accepted: 20 12 2022
revised: 18 01 2023
pubmed: 6 1 2023
medline: 21 1 2023
entrez: 5 1 2023
Statut: epublish

Résumé

Accurate mapping of schistosomiasis (SCH) and soil transmitted helminths (STH) is a prerequisite for effective implementation of the control and elimination interventions. A precision mapping protocol was developed and implemented in the coastal region of Kenya by applying the current World Health Organization (WHO) mapping guide at a much lower administrative level (ward). A two-stage cluster survey design was undertaken, with 5 villages in each ward selected. From within each village 50 households were randomly selected, and a single child between the ages of 8 and 14 sampled following appropriate assent. The prevalence and intensity of infection of Schistosoma mansoni and STH were determined using the Kato-Katz method (single stool, duplicate slides) and urine filtration for S. haematobium. Of the 27,850 school age children sampled, 6.9% were infected with at least one Schistosoma species, with S. haematobium being the most common 6.1% (95% CI: 3.1-11.9), and Tana River County having highest prevalence 19.6% (95% CI: 11.6-31.3). Prevalence of any STH infection was 5.8% (95% CI: 3.7-8.9), with Lamu County having the highest prevalence at 11.9% (95% CI: 10.0-14.1). The most prevalent STH species in the region was Trichuris trichiura at 3.1% (95% CI: 2.0-4.8). According to the WHO threshold for MDA implementation, 31 wards (in 15 sub-Counties) had a prevalence of ≥10% for SCH and thus qualify for annual MDA of all age groups from 2 years old. On the other hand, using the stricter Kenya BTS MDA threshold of ≥2%, 72 wards (in 17 sub-Counties) qualified for MDA and were targeted for treatment in 2021. The precision mapping at the ward level demonstrated the variations of schistosomiasis prevalence and endemicity by ward even within the same sub-counties. The data collected will be utilized by the Kenyan Ministry of Health to improve targeting.

Sections du résumé

BACKGROUND
Accurate mapping of schistosomiasis (SCH) and soil transmitted helminths (STH) is a prerequisite for effective implementation of the control and elimination interventions. A precision mapping protocol was developed and implemented in the coastal region of Kenya by applying the current World Health Organization (WHO) mapping guide at a much lower administrative level (ward).
METHODS
A two-stage cluster survey design was undertaken, with 5 villages in each ward selected. From within each village 50 households were randomly selected, and a single child between the ages of 8 and 14 sampled following appropriate assent. The prevalence and intensity of infection of Schistosoma mansoni and STH were determined using the Kato-Katz method (single stool, duplicate slides) and urine filtration for S. haematobium.
RESULTS
Of the 27,850 school age children sampled, 6.9% were infected with at least one Schistosoma species, with S. haematobium being the most common 6.1% (95% CI: 3.1-11.9), and Tana River County having highest prevalence 19.6% (95% CI: 11.6-31.3). Prevalence of any STH infection was 5.8% (95% CI: 3.7-8.9), with Lamu County having the highest prevalence at 11.9% (95% CI: 10.0-14.1). The most prevalent STH species in the region was Trichuris trichiura at 3.1% (95% CI: 2.0-4.8). According to the WHO threshold for MDA implementation, 31 wards (in 15 sub-Counties) had a prevalence of ≥10% for SCH and thus qualify for annual MDA of all age groups from 2 years old. On the other hand, using the stricter Kenya BTS MDA threshold of ≥2%, 72 wards (in 17 sub-Counties) qualified for MDA and were targeted for treatment in 2021.
CONCLUSIONS
The precision mapping at the ward level demonstrated the variations of schistosomiasis prevalence and endemicity by ward even within the same sub-counties. The data collected will be utilized by the Kenyan Ministry of Health to improve targeting.

Identifiants

pubmed: 36602986
doi: 10.1371/journal.pntd.0011043
pii: PNTD-D-22-01136
pmc: PMC9847902
doi:

Substances chimiques

Soil 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0011043

Informations de copyright

Copyright: © 2023 Kepha et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

No competing interests.

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Auteurs

Stella Kepha (S)

Ministry of Health, Division of Vector Borne and Neglected Tropical Diseases, Nairobi, Kenya.
Oriole Global Health, Milton-Under-Wychwood, Great Britain.
Kenya Medical Research Institute, Nairobi, Kenya.

Duncan Ochol (D)

Crown Agents, Great Britain.

Florence Wakesho (F)

Ministry of Health, Division of Vector Borne and Neglected Tropical Diseases, Nairobi, Kenya.

Wyckliff Omondi (W)

Ministry of Health, Division of Vector Borne and Neglected Tropical Diseases, Nairobi, Kenya.

Sammy M Njenga (SM)

Kenya Medical Research Institute, Nairobi, Kenya.

Kariuki Njaanake (K)

University of Nairobi, Nairobi, Kenya.

Jimmy Kihara (J)

Kenya Medical Research Institute, Nairobi, Kenya.

Stephen Mwatha (S)

Ministry of Health, Division of Vector Borne and Neglected Tropical Diseases, Nairobi, Kenya.

Chrisistosom Kanyi (C)

Ministry of Health, Division of Vector Borne and Neglected Tropical Diseases, Nairobi, Kenya.

Joseph Otieno Oloo (JO)

Ministry of Health, Division of Vector Borne and Neglected Tropical Diseases, Nairobi, Kenya.

Paul Kibati (P)

Ministry of Health, Division of Vector Borne and Neglected Tropical Diseases, Nairobi, Kenya.

Elodie Yard (E)

Oriole Global Health, Milton-Under-Wychwood, Great Britain.

Laura J Appleby (LJ)

Oriole Global Health, Milton-Under-Wychwood, Great Britain.

Kevin McRae-McKee (K)

Oriole Global Health, Milton-Under-Wychwood, Great Britain.

Maurice R Odiere (MR)

Kenya Medical Research Institute, Kisumu, Kenya.

Sultani Hadley Matendechero (SH)

Ministry of Health, Division of Vector Borne and Neglected Tropical Diseases, Nairobi, Kenya.

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Classifications MeSH