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The COVID-19 pandemic has prompted countries to swiftly implement rigorous preventive measures on a population-wide scale worldwide. However, in low-income countries like Mozambique this was difficult, coupled with a generalised lack of knowledge on how the population understood and complied with these measures. This study assessed community perceptions and implementation of anti-COVID-19 measures recommended by Mozambican authorities in Manhiça and Quelimane districts, including confinement, social distancing, frequent handwashing, mask wearing, and quarantine as the key practices to evaluate. We conducted a cross-sectional quantitative survey in October 2020 and February 2021, interviewing heads of households, face-to-face. The data collected included self-evaluation of compliance and existence of handwashing facilities and face-masks in the households, aided by observations. We present descriptive statistics on perceptions and compliance at individual and household levels. Out of the 770 participants, nearly all (98.7%) were aware of Coronavirus disease, including the term COVID-19 (89.2%). Knowledge varied between districts, with Manhiça participants showing higher levels of sufficient ability to define the disease. The symptoms most mentioned were dry cough (17.8%), fever (15.7%), flu-like symptoms (14.2%), breathing difficulties (13.6%), and headache (13.1%). Participants recognized various transmission modes, including touching infected objects and inhaling infected air. Preventive measures like handwashing with soap or sanitizing hands with alcohol, wearing masks, and social distancing were acknowledged, but the understanding varied. Compliance with these measures was generally low, with fewer than half of respondents reporting adherence to them. Only 30.4% of households had handwashing facilities (of which only 41.0% had water), and masks were often limited to one per person aged 6 years or more. Community members in Manhica and Quelimane were aware of COVID-19 but had limited understanding of what the preventive measures meant, and had lower levels of compliance. Understanding and addressing the factors affecting the proper implementation of these measures is crucial for improving community adherence in preventing infectious diseases with epidemic potential.

Background: Coronavirus disease (COVID-19) first broke out in Wuhan, China, on 29 December 2019; since then, it has taken hundreds of thousands of lives worldwide. Although adopting different containment measures, it spread rapidly over the world. In Mozambique, the government declared a state of emergency in March 2020, associated with a number of preventive measures to reduce the spread and delay the peak of virus' infections. This paper seeks to analyze the attitudes and practices related to COVID-19 preventive measures during first period of state of emergency in Mozambique in both in rural and urban settings. Methods: A community-based, cross-sectional and qualitative study was conducted in six urban and five rural settings in Mozambique. In total, 295 semi-structured interviews were conducted with community members, of which 23 were face-to-face and 272 through telephone interviews. Interviews were digitally audio recorded, verbatim transcribed, and entered into an Excel matrix followed by a structured data content analysis. The Consolidated criteria for reporting qualitative research (COREQ) guidelines for reporting qualitative studies were performed. Results: In general, participants reported that it was necessary to change their habits, reducing activities and their mobility, such as: going out to work, for business, and visiting family, to reduce the risk of contracting COVID-19. In addition, some participants reported adopting several COVID-19 preventive measures in public spaces and at home, such as: wearing a mask, washing their hands, and social and physical distancing. Conclusions: Although the majority of participants reported adopting most of COVID-19 preventive measures at home and in public spaces, much work is still needed to improve the knowledge of COVID-19 preventive measures and practices. The results of our study suggest a greater awareness of residents and users of public places about established standards and preventive procedures concerning COVID-19.

Low-and-middle-income countries (LMICs) bear a disproportionate burden of communicable diseases. Social interaction data inform infectious disease models and disease prevention strategies. The variations in demographics and contact patterns across ages, cultures, and locations significantly impact infectious disease dynamics and pathogen transmission. LMICs lack sufficient social interaction data for infectious disease modeling. To address this gap, we will collect qualitative and quantitative data from eight study sites (encompassing both rural and urban settings) across Guatemala, India, Pakistan, and Mozambique. We will conduct focus group discussions and cognitive interviews to assess the feasibility and acceptability of our data collection tools at each site. Thematic and rapid analyses will help to identify key themes and categories through coding, guiding the design of quantitative data collection tools (enrollment survey, contact diaries, exit survey, and wearable proximity sensors) and the implementation of study procedures. We will create three age-specific contact matrices (physical, nonphysical, and both) at each study site using data from standardized contact diaries to characterize the patterns of social mixing. Regression analysis will be conducted to identify key drivers of contacts. We will comprehensively profile the frequency, duration, and intensity of infants' interactions with household members using high resolution data from the proximity sensors and calculating infants' proximity score (fraction of time spent by each household member in proximity with the infant, over the total infant contact time) for each household member. Our qualitative data yielded insights into the perceptions and acceptability of contact diaries and wearable proximity sensors for collecting social mixing data in LMICs. The quantitative data will allow a more accurate representation of human interactions that lead to the transmission of pathogens through close contact in LMICs. Our findings will provide more appropriate social mixing data for parameterizing mathematical models of LMIC populations. Our study tools could be adapted for other studies.

The COVID-19 pandemic has prompted countries to swiftly implement rigorous preventive measures on a population-wide scale worldwide. However, in low-income countries like Mozambique this was difficult, coupled with a generalised lack of knowledge on how the population understood and complied with these measures. This study assessed community perceptions and implementation of anti-COVID-19 measures recommended by Mozambican authorities in Manhiça and Quelimane districts, including confinement, social distancing, frequent handwashing, mask wearing, and quarantine as the key practices to evaluate. We conducted a cross-sectional quantitative survey in October 2020 and February 2021, interviewing heads of households, face-to-face. The data collected included self-evaluation of compliance and existence of handwashing facilities and face-masks in the households, aided by observations. We present descriptive statistics on perceptions and compliance at individual and household levels. Out of the 770 participants, nearly all (98.7%) were aware of Coronavirus disease, including the term COVID-19 (89.2%). Knowledge varied between districts, with Manhiça participants showing higher levels of sufficient ability to define the disease. The symptoms most mentioned were dry cough (17.8%), fever (15.7%), flu-like symptoms (14.2%), breathing difficulties (13.6%), and headache (13.1%). Participants recognized various transmission modes, including touching infected objects and inhaling infected air. Preventive measures like handwashing with soap or sanitizing hands with alcohol, wearing masks, and social distancing were acknowledged, but the understanding varied. Compliance with these measures was generally low, with fewer than half of respondents reporting adherence to them. Only 30.4% of households had handwashing facilities (of which only 41.0% had water), and masks were often limited to one per person aged 6 years or more. Community members in Manhica and Quelimane were aware of COVID-19 but had limited understanding of what the preventive measures meant, and had lower levels of compliance. Understanding and addressing the factors affecting the proper implementation of these measures is crucial for improving community adherence in preventing infectious diseases with epidemic potential.

BackgroundLow-and-middle-income countries (LMICs) bear a disproportionate burden of communicable diseases. Social interaction data inform infectious disease models and disease prevention strategies. The variations in demographics and contact patterns across ages, cultures, and locations significantly impact infectious disease dynamics and pathogen transmission. LMICs lack sufficient social interaction data for infectious disease modeling.MethodsTo address this gap, we will collect qualitative and quantitative data from eight study sites (encompassing both rural and urban settings) across Guatemala, India, Pakistan, and Mozambique. We will conduct focus group discussions and cognitive interviews to assess the feasibility and acceptability of our data collection tools at each site. Thematic and rapid analyses will help to identify key themes and categories through coding, guiding the design of quantitative data collection tools (enrollment survey, contact diaries, exit survey, and wearable proximity sensors) and the implementation of study procedures. We will create three age-specific contact matrices (physical, nonphysical, and both) at each study site using data from standardized contact diaries to characterize the patterns of social mixing. Regression analysis will be conducted to identify key drivers of contacts. We will comprehensively profile the frequency, duration, and intensity of infants' interactions with household members using high resolution data from the proximity sensors and calculating infants' proximity score (fraction of time spent by each household member in proximity with the infant, over the total infant contact time) for each household member.DiscussionOur qualitative data yielded insights into the perceptions and acceptability of contact diaries and wearable proximity sensors for collecting social mixing data in LMICs. The quantitative data will allow a more accurate representation of human interactions that lead to the transmission of pathogens through close contact in LMICs. Our findings will provide more appropriate social mixing data for parameterizing mathematical models of LMIC populations. Our study tools could be adapted for other studies.

Background Pre-eclampsia is one of the leading causes of maternal death in Mozambique. Limited access to health care facilities and a lack of skilled health professionals contribute to the high maternal morbidity and mortality rates in Mozambique and indicate a need for community-level interventions. The aim of this review was to identify and characterise health policies related to the role of CHWs in the management of pre-eclampsia and eclampsia in Mozambique. Methods The policy review was based on three methods: a desk review of relevant documents from the Mozambique Ministry of Health ( n  = 7), contact with 28 key informants in the field of health policy in Mozambique ( n  = 5) and literature review ( n  = 699). Policy documents obtained included peer-reviewed articles, government and institutional policies, reports and action plans. Seven hundred and eleven full-text documents were assessed for eligibility and included based on pre-defined criteria. Qualitative analysis was done to identify main themes using content analysis. Results A total of 56 papers informed the timeline of key events. Three main themes were identified from the qualitative review: establishment of the community health worker programme and early challenges, revitalization of the CHW programme and the integration of maternal health in the community health tasks. In 1978, following the Alma Alta Declaration, the Mozambique government brought in legislation establishing primary health care and the CHW programme. Between the late 1980s and early 1990s, this programme was scaled down due to several factors including a prolonged civil war; however, the decision to revitalise the programme was made in 1995. In 2010, a revitalised programme was re-launched and expanded to include the management of common childhood illnesses, detection of warning signs of pregnancy complications, referrals for maternal health and basic health promotion. To date, their role has not included management of emergency conditions of pregnancy including pre-eclampsia and eclampsia. Conclusion The role of CHWs has evolved over the last 40 years to include care of childhood diseases and basic maternal health counselling. Studies to assess the impact of CHWs in providing services to reduce maternal morbidity and mortality are recommended.