SEARCHCROSS-SECTIONALepidemiology, public health

cross-sectional·epidemiology, public health, pediatrics, infectious disease, observational study·PMC10565763

Model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in Kenya: Results from ten-years of the Kenya national school-based deworming programme

Heliyon · 15 authors, 11 centres

AI SUMMARY

FIDELITY 100%

This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.

AGENT 01 · STRUCTURED SUMMARY

TRACE TO SOURCE

“

TL;DR

A model-based geostatistical analysis of a national survey estimated that the overall prevalence of any soil-transmitted helminth in Kenya is between 2% and <10%, allowing for refined, county-specific treatment frequency recommendations.

Full summary

469 CHARS

This study used a model-based geostatistical (MBG) approach to design and analyze the impact of Kenya's national school-based deworming programme after nine rounds of treatment. The MBG analysis estimated the overall NSBDP geographic area prevalence for any STH to be between 2% and <10% with a high predictive probability (>0.999). The overall prevalence was 5.8%, down from a historical 32.3%, indicating programme impact but remaining above the <2% no-MDA threshold.

STUDY TYPE

cross-sectional

SPECIALTY

epidemiology

SUMMARISED BY

AI pipeline

FIDELITY CHECK

100% · A

ORIGINAL PAPER

PMC10565763

Model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in Kenya: Results from ten-years of the Kenya national school-based deworming programme

Heliyon

READ THE FULL PAPER

ABSTRACT

Background Kenya is endemic for soil-transmitted helminths (STH) with over 6 million children in 27 counties currently at-risk. A national school-based deworming programme (NSBDP) was launched in 2012 with a goal to eliminate parasitic worms as a public health problem. This study used model-based geostatistical (MBG) approach to design and analyse the impact of the NSBDP and inform treatment strategy changes. Methods A cross-sectional study was used to survey 200 schools across 27 counties in Kenya. The study design, school selection and analysis followed the MBG approach which incorporated historical data on treatment, morbidity and environmental covariates to efficiently predict the helminths prevalence in Kenya. Results Overall, the NSBDP geographic area prevalence for any STH was estimated to sit between 2 % and <10 % with a high predictive probability of >0.999. Species-specific thresholds were between 2 % and <10 % for Ascaris lumbricoides, 0 % to <2 % for hookworm, and 0 % to <2 % for Trichuris trichiura , all with high predictive probability of >0.999. Conclusions Based on the World Health Organization guidelines, STH treatment requirements can now be confidently refined. Ten counties may consider suspending treatment and implement appropriate surveillance system, while another 10 will require treatment once every two years, and the remaining seven will require treatment once every year.

CITATION EXPORT

Collins Okoyo, Mark Minnery, Idah Orowe et al.. Model-based geostatistical design and analysis of prevalence for soil-transmitted helminths in Kenya: Results from ten-years of the Kenya national school-based deworming programme. Heliyon. (2023). https://doi.org/10.1016/j.heliyon.2023.e20695

AUTHORS

15 · 11 CENTRES

Collins Okoyo, Mark Minnery, Idah Orowe, Chrispin Owaga, Suzy J. Campbell, Christin Wambugu, Nereah Olick, Jane Hagemann, Wyckliff P. Omondi, Kate McCracken, Antonio Montresor, Graham F. Medley, Claudio Fronterre, Peter Diggle, Charles Mwandawiro

aSchool of Mathematics, University of Nairobi, Nairobi, Kenya
bEastern and Southern Africa Centre of International Parasite Control (ESACIPAC), Kenya Medical Research Institute, Nairobi, Kenya
cDepartment of Epidemiology, Statistics and Informatics (DESI), Kenya Medical Research Institute, Nairobi, Kenya
dDeworm the World, Evidence Action, Washington DC, United States
eDeworm the World, Evidence Action, Nairobi, Kenya
fDivision of Adolescent and School Health (DASH), Ministry of Health, Nairobi, Kenya
gSchool Health, Nutrition and Meals Unit (SHNMU), Ministry of Education, Nairobi, Kenya
hDivision of Vector Borne and Neglected Tropical Diseases (DVBNTD), Ministry of Health, Nairobi, Kenya
iDepartment of Control of Neglected Tropical Diseases, World Health Organization, Geneva, Switzerland
jFaculty of Public Health and Policy, London School of Hygiene and Tropical Medicine (LSHTM), London, United Kingdom
kCentre for Health Informatics, Computing and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom