Since the announcement of the coronavirus disease (COVID-19) pandemic in January 30 th 2020, 68 countries reported to the World Health Organization that they were experiencing disruptions in malaria diagnosis and treatment. This situation had the potential to lead to delays in diagnosis and treatment, which could result in an increase in severe cases and deaths. This analysis was based on findings from a field visit, carried out between June 30 th and July 1 st , 2020, to a warehouse, to two health facilities, and a meeting with a community health worker, and an descriptive epidemiologic data analysis of health information system (HIS) to evaluate trends of the number of people tested for malaria and number of malaria cases reported, by comparing data from 2018, 2019 and 2020 for the period between January and May. The two health facilities and the warehouse had about two months of stock of antimalarial drugs, and patients with malaria symptoms were being tested for malaria at the COVID-19 screening site. The HIS data showed that the number of reported malaria cases decreased by 3.0% (177.646/172.246) in April, and 7.0% (173.188/161.812) in May, when comparing 2019 and 2020 data. People tested for malaria in community increased by 39.0% (190.370/264.730), between 2019 and 2020. The COVID-19 may have had a negative impact on the diagnosis and treatment of malaria in health facility (HF). The decrease in people tested for malaria in the health facilities may have overwhelmed the activities of the community.
Background Mozambique is a malaria endemic country with an estimated prevalence of malaria in children 6–59 months old that is twice as high in rural areas (46.0%) as in urban areas (18.0%). However, only 46.0% of women aged 15–49 years had complete knowledge about malaria in 2018. This study aimed to identify the factors associated with malaria knowledge among women of reproductive age in a high malaria burden district. Methods Data from a cross-sectional study, using a population-based malaria research study in Mágoe District, 2019, were analysed. This analysis included women aged 15–49 years. A multivariate logistic regression model was developed to determine factors associated with complete knowledge of malaria that calculated adjusted odds ratio (aOR) and 95% confidence interval (CI) at a p < 0.05 significance level. Complete malaria knowledge was defined as when a woman correctly identified: fever as a malaria symptom, mosquito bites as the means of malaria transmission, mosquito nets as a tool for malaria prevention, malaria as curable, and were able to name an anti-malarial. Results A total of 1899 women were included in this analysis. There was complete malaria knowledge among 49% of the respondents. Seventy one percent mentioned fever as one of malaria symptoms, 92% mentioned mosquito bite as the cause of malaria infection, 94% identified that mosquito nets prevent malaria, 92% agreed that malaria has cure, and 76% were able to name at least one anti-malarial medicine. In the multivariate analysis, the following characteristics were associated with significantly higher odds of having complete malaria knowledge: having a secondary school or above education level (adjusted Odds Ratio, aOR = 2.5 CI [1.3–4.6] p = 0.005), being from the middle socioeconomic status group (aOR = 1.5 CI [1.1–2.1] p = 0.005), being from older age group of 35–39 (aOR = 1.9; CI [1.1–3.1] p < 0.001), having 1–2 children (aOR = 1.8; CI [1.2–2.6] p = 0.003), and having interviews completed in Portuguese or Cinyungwe (aOR = 2.3; CI [1.3–4.1] p = 0.004 and aOR = 2.1; CI [1.5–2.8] p < 0.001, respectively). Conclusion Most women in this study had some malaria knowledge, but gaps in complete knowledge remained. In order to broaden knowledge, educational messages about malaria prevention should be more effectively targeted to reach younger, less-educated women and in non-dominant languages.
Introduction the risk of a worker becoming ill due to coronavirus disease 2019 (COVID-19) is related to occupational exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Due to the need to restore work activities in Mozambique, the study was conducted with the aim of identifying the occupational categories most affected by COVID-19 in the former in the period from March to July 2020. Methods this is a cross-sectional descriptive study, in which data from professions of confirmed cases of COVID-19 from 22 March to 29 July 2020 in Mozambique were analyzed. The professionals' data were reported daily by the National Institute of Health (NIH) and merged into a single database and exported to Excel, the latter categorized according to standard operating procedure (SOP) and descriptive statistics performed for its analysis. Results in the period under analysis, 1,127 professionals were diagnosed with COVID-19, divided into 11 categories. Nampula province had the highest frequency of cases with 25.00% (277). The highest frequency of cases was registered in the domestic professional category, which had 16.77% (189/1,127) with the female sex being more frequent, 79.37% (150/189); and defense and security had 14.20% (160/1,127) of cases and male gender with 91.25% (146/160); Health workers had 13.04% (147/1,127), and the maximum number of COVID-19 cases was recorded in June with 58.50% (86/147). Conclusion the professional categories most affected by COVID-19 in the period under review correspond to those groups that carry out activities requiring a physical presence at the workplace and from this; it is recommended that professionals reinforce preventive measures.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.