Geographical distribution and the impact of socio-environmental indicators on incidence of Mpox in Ontario, Canada DOI Creative Commons
Chigozie Louisa J. Ugwu, Ali Asgary, Jian Wu

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(3), С. e0306681 - e0306681

Опубликована: Март 11, 2025

Background Ontario, being one of Canada’s largest provinces, has been central to the high incidence human Mpox. Research is scarce on how socio-environmental factors influence Mpox incidences. This study seeks explore potential geographical correlations and relationship between indicators social marginalization rate in Ontario. Methodology We used surveillance data confirmed cases from May 1, 2022, March 31, 2024, extracted Public Health Ontario website for this study. Spatial autocorrelation was investigated using spatial methods including Moran’s Index, Getis–Ord Gi*statistic, Poisson scan statistic. Following this, we adopted a generalized regression (GPR) model estimate ratios (IRRs) based association PHU-level incidence, while adjusting age sex. The goodness-of-fit models assessed Log Likelihood (LL), Akaike Information Criterion (AIC), Akaike’s corrected (AICc), Bayesian (BIC). Results Our analysis revealed significant localized heterogeneity across Statistically local clusters were identified Toronto ( RR=11.34,LL=511.97 ), Ottawa id="M2">RR=3.21,LL=19.88 secondary cluster, overlapping Hamilton PHU with nine districts id="M3">RR=2.07,LL=9.64 all id="M4">p−value<0.05 . statistically significantly associated higher proportion ethnic concentration (racialized groups, migrants, or visible minorities) id="M5">IRR=9.478;95%CI=5.062−17.747 , gender id="M6">IRR=5.150;95%CI=1.159−8.324 residential instability id="M7">IRR=14.112;95%CI=6.596−30.189 Conclusion major hotspots Toronto. According our results, may be influenced by greater population internal migrants younger individuals. Based these insights, recommend targeted interventions high-risk neighborhoods. Efforts improve diagnosis promote health equity among socioeconomically vulnerable populations, racial minorities, should implemented.

Язык: Английский

Knowledge, Attitude and Associated Factors of Monkeypox Infection Among Healthcare Workers in Injibara General Hospital, Northwest Ethiopia DOI Creative Commons
Zewdu Bishaw Aynalem, Melsew Dagne Abate, Fentahun Meseret

и другие.

Journal of Multidisciplinary Healthcare, Год журнала: 2024, Номер Volume 17, С. 1159 - 1173

Опубликована: Март 1, 2024

Fighting health threats, especially the rise of new infectious diseases, is one main responsibilities healthcare workers. However, their knowledge and attitudes toward monkeypox have not yet been assessed. Therefore, this study aimed to assess knowledge, attitude, factors associated with infection among workers at Injibara General Hospital, Northwest Ethiopia.

Язык: Английский

Процитировано

4
Assessment of Knowledge, Attitude, and Associated Factors of Mpox Among Healthcare Professionals at Debre Tabor Comprehensive Specialized Hospital, Northwest Ethiopia, 2024: A Cross‐Sectional Study DOI Creative Commons

Teklehaimanot Kiros,

Mulat Erkihun,

Mitikie Wondmagegn

и другие.

Health Science Reports, Год журнала: 2025, Номер 8(1)

Опубликована: Янв. 1, 2025

ABSTRACT Background Mpox is a zoonotic disease that has become significant public health concern, especially in regions beyond its usual endemic areas Africa. The rising global incidence and classification as Public Health Emergency of International Concern by the World Organization highlight importance healthcare professionals (HCPs) being knowledgeable well‐prepared to effectively manage virus. This study aims assess knowledge, attitudes, factors associated with HCPs regarding infections at Debre Tabor Comprehensive Specialized Hospital Northwest Ethiopia. Methods Between June 13th September 3rd, 2024, cross‐sectional was conducted, among 384 selected through convenience sampling. A pretested, well‐structured, questionnaire used sociodemographic characteristics, attitudes HCPs. collected data were analyzed using descriptive statistics logistic regression. p ‐value ≤ 0.05 considered statistically association. Results Out participants, majority male (55.47%) aged 31–39 years (33.85%). Nurses made up largest professional group 31.25%. Only 28.13% 37.76% demonstrated good knowledge favorable toward Mpox, respectively. Interestingly, prior information sources about likely possess (AOR = 1.45, 0.002). Conclusions findings emphasize important gaps attitude It imperative implement targeted educational initiatives such dissemination, training, continuous development improve capacity respond other emerging infectious diseases.

Язык: Английский

Процитировано

0
Assessment of the general population knowledge about the emergence of Nipah virus outbreak in Bangladesh: A nationwide cross-sectional study DOI Creative Commons
Mobin Ibne Mokbul, Shuvajit Saha, Samiha Nahar Tuli

и другие.

Journal of Virus Eradication, Год журнала: 2025, Номер 11(1), С. 100585 - 100585

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

0
Geographical distribution and the impact of socio-environmental indicators on incidence of Mpox in Ontario, Canada DOI Creative Commons
Chigozie Louisa J. Ugwu, Ali Asgary, Jian Wu

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(3), С. e0306681 - e0306681

Опубликована: Март 11, 2025

Background Ontario, being one of Canada’s largest provinces, has been central to the high incidence human Mpox. Research is scarce on how socio-environmental factors influence Mpox incidences. This study seeks explore potential geographical correlations and relationship between indicators social marginalization rate in Ontario. Methodology We used surveillance data confirmed cases from May 1, 2022, March 31, 2024, extracted Public Health Ontario website for this study. Spatial autocorrelation was investigated using spatial methods including Moran’s Index, Getis–Ord Gi*statistic, Poisson scan statistic. Following this, we adopted a generalized regression (GPR) model estimate ratios (IRRs) based association PHU-level incidence, while adjusting age sex. The goodness-of-fit models assessed Log Likelihood (LL), Akaike Information Criterion (AIC), Akaike’s corrected (AICc), Bayesian (BIC). Results Our analysis revealed significant localized heterogeneity across Statistically local clusters were identified Toronto ( RR=11.34,LL=511.97 ), Ottawa id="M2">RR=3.21,LL=19.88 secondary cluster, overlapping Hamilton PHU with nine districts id="M3">RR=2.07,LL=9.64 all id="M4">p−value<0.05 . statistically significantly associated higher proportion ethnic concentration (racialized groups, migrants, or visible minorities) id="M5">IRR=9.478;95%CI=5.062−17.747 , gender id="M6">IRR=5.150;95%CI=1.159−8.324 residential instability id="M7">IRR=14.112;95%CI=6.596−30.189 Conclusion major hotspots Toronto. According our results, may be influenced by greater population internal migrants younger individuals. Based these insights, recommend targeted interventions high-risk neighborhoods. Efforts improve diagnosis promote health equity among socioeconomically vulnerable populations, racial minorities, should implemented.

Язык: Английский

Процитировано

0