Knowledge of malaria diagnosis and prevention linking awareness of low transmission to eradication efforts

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Názov: Knowledge of malaria diagnosis and prevention linking awareness of low transmission to eradication efforts
Autori: Nkereuwem Etukudoh, Emmanuel Akpan, Joyce Ocheola-Oki, Akanimo Essiet, Cecilia Udo, Hilary Akpan, Eno Mantu, Emmanuel Eggon, Uduakobong Umondak
Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)
Informácie o vydavateľovi: Nature Portfolio, 2025.
Rok vydania: 2025
Zbierka: LCC:Medicine
LCC:Science
Predmety: Content validity, Logistic regression, Malaria, Malaria transmission, Malaria elimination, Malaria diagnosis, Medicine, Science
Popis: Abstract This study assesses knowledge of malaria diagnosis and prevention, examining how awareness of low malaria transmission influences diagnostic and preventive practices for malaria elimination. A cross-sectional study of sample size of 600 was conducted among staff from Federal College of Medical Laboratory Science and Technology, Jos; Plateau State College of Health Technology, Zawan, and Federal College of Veterinary and Medical Laboratory Technology, Vom in Plateau State, Nigeria, between March and June 2023 to gather information on the knowledge of malaria, malaria diagnosis, and malaria prevention. Plateau State is located in the North Central region of Nigeria at 9° 10′ N 9° 45′ E coordinates. The study explored the logistic regression analysis to assess the association between low transmission, knowledge diagnosis, and malaria prevention; also applied correlation analysis to assess the relationship between low transmission, knowledge diagnosis, and malaria prevention. The data were analyzed using SPSS version 25, with a significance level set at p
Druh dokumentu: article
Popis súboru: electronic resource
Jazyk: English
ISSN: 2045-2322
Relation: https://doaj.org/toc/2045-2322
DOI: 10.1038/s41598-025-89320-6
Prístupová URL adresa: https://doaj.org/article/2b88eff9f30d4d87b45a0f9c2c8d1663
Prístupové číslo: edsdoj.2b88eff9f30d4d87b45a0f9c2c8d1663
Databáza: Directory of Open Access Journals
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  Data: Knowledge of malaria diagnosis and prevention linking awareness of low transmission to eradication efforts
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  Data: <searchLink fieldCode="AR" term="%22Nkereuwem+Etukudoh%22">Nkereuwem Etukudoh</searchLink><br /><searchLink fieldCode="AR" term="%22Emmanuel+Akpan%22">Emmanuel Akpan</searchLink><br /><searchLink fieldCode="AR" term="%22Joyce+Ocheola-Oki%22">Joyce Ocheola-Oki</searchLink><br /><searchLink fieldCode="AR" term="%22Akanimo+Essiet%22">Akanimo Essiet</searchLink><br /><searchLink fieldCode="AR" term="%22Cecilia+Udo%22">Cecilia Udo</searchLink><br /><searchLink fieldCode="AR" term="%22Hilary+Akpan%22">Hilary Akpan</searchLink><br /><searchLink fieldCode="AR" term="%22Eno+Mantu%22">Eno Mantu</searchLink><br /><searchLink fieldCode="AR" term="%22Emmanuel+Eggon%22">Emmanuel Eggon</searchLink><br /><searchLink fieldCode="AR" term="%22Uduakobong+Umondak%22">Uduakobong Umondak</searchLink>
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  Data: Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)
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  Data: Nature Portfolio, 2025.
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  Data: Abstract This study assesses knowledge of malaria diagnosis and prevention, examining how awareness of low malaria transmission influences diagnostic and preventive practices for malaria elimination. A cross-sectional study of sample size of 600 was conducted among staff from Federal College of Medical Laboratory Science and Technology, Jos; Plateau State College of Health Technology, Zawan, and Federal College of Veterinary and Medical Laboratory Technology, Vom in Plateau State, Nigeria, between March and June 2023 to gather information on the knowledge of malaria, malaria diagnosis, and malaria prevention. Plateau State is located in the North Central region of Nigeria at 9° 10′ N 9° 45′ E coordinates. The study explored the logistic regression analysis to assess the association between low transmission, knowledge diagnosis, and malaria prevention; also applied correlation analysis to assess the relationship between low transmission, knowledge diagnosis, and malaria prevention. The data were analyzed using SPSS version 25, with a significance level set at p
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    Subjects:
      – SubjectFull: Content validity
        Type: general
      – SubjectFull: Logistic regression
        Type: general
      – SubjectFull: Malaria
        Type: general
      – SubjectFull: Malaria transmission
        Type: general
      – SubjectFull: Malaria elimination
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      – SubjectFull: Malaria diagnosis
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      – SubjectFull: Medicine
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      – SubjectFull: Science
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      – TitleFull: Knowledge of malaria diagnosis and prevention linking awareness of low transmission to eradication efforts
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