The COVID-19 pandemic has sparked unprecedented public health and social measures (PHSM) by national and local governments, including border restrictions, school closures, mandatory facemask use and stay at home orders. Quantifying the effectiveness of these interventions in reducing disease transmission is key to rational policy making in response to the current and future pandemics. In order to estimate the effectiveness of these interventions, detailed descriptions of their timelines, scale and scope are needed. The Health Intervention Tracking for COVID-19 (HIT-COVID) is a curated and standardized global database that catalogues the implementation and relaxation of COVID-19 related PHSM. With a team of over 200 volunteer contributors, we assembled policy timelines for a range of key PHSM aimed at reducing COVID-19 risk for the national and first administrative levels (e.g. provinces and states) globally, including details such as the degree of implementation and targeted populations. We continue to maintain and adapt this database to the changing COVID-19 landscape so it can serve as a resource for researchers and policymakers alike.
Recently, the World Health Organization (WHO) declared the human monkeypox virus disease an international health emergency. In the past decades, infectious disease epidemics have significantly impacted low- and middle-income countries (LMICs), with coronavirus disease-2019 (COVID-19) being the most recent. LMICs, particularly in Africa and Asia, responded reasonably well by strengthening health systems, including infection prevention and control strategies, laboratory systems, risk communication, and training of essential healthcare workers for surge capacity in preparation for and response to COVID-19. With the possibility of other epidemics, such as the current epidemic of human Monkeypox, a consolidated global response is required. This article discusses lessons learned from previous Ebola and COVID-19 outbreaks and also provides recommendations on how these lessons can be useful to strengthen monkeypox disease outbreak preparedness and response in LMIC.
Background Hospital and Community-acquired infections are escalating and pose significant public health unhealthiness worldwide. The advancements of telemedicine and automation of healthcare records are supported by cellphones, laptops and wearable devices. This study focused on the incidence of healthcare workers’ mobile phones becoming contaminated with pathogenic bacteria and their possible roles as vehicles of transmission of antimicrobial-resistant bacteria.Method: A case study at two referral hospitals in Uganda between May and October 2020. Self-administered questionnaires were administered to participants after informed consent. Mobile phones of the participants in different departments of the hospitals were swabbed and samples were collected and transported to the microbiology laboratory for bacterial culture and antimicrobial susceptibility tests. Results: The point prevalence of Healthcare workers’ mobile phone bacterial contamination with one or more species was 93%. Organisms isolated were E. coli 5.6% (1), Micrococcus spp 11.1% (2), Coagulase-negative staphylococci, CoNS, 61.1% (11) and Bacillus spp 22.2% (4). About 45% of the organisms were multidrug-resistant. Resistance was major to penicillin, cotrimoxazole, ciprofloxacin and Gentamycin respectively. The isolated E. coli was resistant to all antibiotics used in the study. Only 15% (2) of the participants disinfected their phones at least once a week and 8% cleaned their hands after using a mobile phone.Conclusion: Healthcare Workers’ mobile phones can act as fomites for the transmission of multidrug-resistant micro-organisms. This study provides strong evidence for developing and strengthening disinfection protocols for mobile phones and does not underscore the importance of hand hygiene in the middle of a patient encounter especially when the HCW grabs a phone but doesn't re-clean their hands before patient contact.
Use of hand sanitizers has become a cornerstone in clinical practice for the prevention of disease transmission between practitioners and patients. There are a number of hand sanitizers sold on the Ugandan market with labels on their packages that claim that the hand sanitizer can kill 99.999% of germs and also there are hospitals that embarked on the local production of alcohol based hand sanitizer whose efficacy data are not locally available. Objective: To evaluate antibacterial efficacy of locally produced alcohol based hand sanitizer and commonly available commercial hand sanitizer used in healthcare facilities in Uganda. Method: This was an in vitro experimental, laboratory-based study of two different brands of hand sanitizers commonly used in healthcare facilities in Uganda and these were compared to a reference standard 60% Isopropyl alcohol. Efficacy was evaluated using standard organisms of Klebsiella pneumoniae American Type Culture Collection (ATCC 13883), Escherichia coli (ATCC 25922), and S. aureus (ATCC 25923) as per prEN12054, a European standard method. The logarithmic and percentage reduction factors (RF) were assessed at baseline and after treatment. Results: Both hand sanitizers studied were able to reduce bacteria by more than 10 5-fold within 15 seconds. Efficacy was independent of the alcohol concentration in each brand (Saraya 70% and locally made 80% alcohol). Conclusion: All of the hand sanitizers assessed had efficacy that meets World Health Organization (WHO) and PrEN12054 standards.
Alcohol-based hand rub (ABHR) is an effective hand hygiene measure to mitigate and prevent infectious disease transmission in healthcare facilities (HCFs); however, availability and affordability in low- and middle-income countries are limited. We sought to establish centralized local production of ABHR using a district-wide approach to increase provider access at all public HCFs in Kabarole and Kasese Districts in Western Uganda. Partner organizations worked with district governments to adapt and implement the WHO protocol for local ABHR production at the district scale. These groups identified and upgraded sites for ABHR production and storage to ensure recommended security, ventilation, and air conditioning. District governments selected technicians for training on ABHR production. Raw materials were sourced within Uganda. Alcohol-based hand rub underwent internal quality control by the production officer and external quality control (EQC) by a trained district health inspector before distribution to HCFs. We assessed ABHR production and demand from March 2019 to December 2020. All ABHR batches (N = 316) met protocol standards (alcohol concentration: 75.0–85.0%) with a mean of 79.9% (range: 78.5–80.5%). Internal quality control measurements (mean alcohol concentration: 80.0%, range: 79.5–81.0%) matched EQC measurements (mean: 79.8%, range: 78.0–80.0%). Production units supplied ABHR to 127 HCFs in Kasese District (100%) and 31 HCFs in Kabarole District (56%); 94% of HCFs were small (dispensary or next higher level). This district-wide production met quality standards and supplied ABHR to many HCFs where facility-level production would be unfeasible. Low- and middle-income countries may consider district models to expand ABHR production and supply to smaller HCFs.
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