Exploring three approaches to offer distance learning courses through a social network of health researchers in three African countries

The Institute of Tropical Medicine in Antwerp hereby presents the results of two pilot distance learning training programmes, developed under the umbrella of the AFRICA BUILD project (FP7). The two courses focused on evidence-based medicine (EBM): with the aim of enhancing research and education, via novel approaches and to identify research needs emanating from the field. These pilot experiences, which were run both in English-speaking (Ghana), and French-speaking (Mali and Cameroon) partner institutions, produced targeted courses for the strengthening of research methodology and policy. The courses and related study materials are in the public domain and available through the AFRICA BUILD Portal (http://www.africabuild.eu/taxonomy/term/37); the training modules were delivered live via Dudal webcasts. This paper assesses the success and difficulties of transferring EBM skills with these two specific training programmes, offered through three different approaches: fully online facultative courses, fully online tutor supported courses or through a blended approach with both online and face-to-face sessions. Key factors affecting the selection of participants, the accessibility of the courses, how the learning resources are offered, and how interactive online communities are formed, are evaluated and discussed

Reducing contacts to stop SARS-CoV-2 transmission during the second pandemic wave in Brussels, Belgium, August to November 2020

To evaluate the effect of physical distancing and school reopening in Brussels between August and November 2020, we monitored changes in the number of reported contacts per SARS-CoV-2 case and associated SARS-CoV-2 transmission. The second COVID-19 pandemic wave in Brussels was the result of increased social contact across all ages following school reopening. Physical distancing measures including closure of bars and restaurants, and limiting close contacts, while primary and secondary schools remained open, reduced social mixing and controlled SARS-CoV-2 transmission

Healthcare seeking outside healthcare facilities and antibiotic dispensing patterns in rural Burkina Faso: A mixed methods study

Objective: Optimising antibiotic use is important to limit increasing antibiotic resistance. In rural Burkina Faso, over-the-counter dispensing of antibiotics in community pharmacies and non-licensed medicine retail outlets facilitates self-medication. We investigated its extent, reasons and dispensing patterns. Methods: In an exploratory mixed-method design conducted between October 2020 and December 2021, this study first explored illness perceptions, the range of healthcare providers in communities, antibiotics knowledge and reasons for seeking healthcare outside healthcare facilities. Second, frequencies of illness and healthcare utilisation in the last 3 months were quantitatively measured. Results: Participants distinguished between natural and magico-religious illnesses, according to origins. For illnesses considered to be ‘natural’, healthcare was mainly sought at healthcare facilities, private pharmacies and informal drug outlets. For illnesses considered as magico-religious, traditional healers were mainly visited. Antibiotics were perceived in the community as medicines similar to painkillers. Healthcare-seeking outside healthcare facilities was reported by 660/1973 (33.5%) participants reporting symptoms, including 315 (47.7%) to informal vendors. Healthcare seeking outside facilities was less common for 0–4-year-olds (58/534, 10.9% vs. 379/850, 44.1% for ≥5-year-olds) and decreased with improving socio-economic status (108/237, 45.6% in the lowest quintile; 96/418, 23.0% in the highest). Reported reasons included financial limitation, and also proximity to informal drug vendors, long waiting times at healthcare facilities, and health professionals' non-empathetic attitudes towards their patients. Conclusion: This study highlights the need to facilitate and promote access to healthcare facilities through universal health insurance and patient-centred care including reducing patients' waiting time. Furthermore, community-level antibiotic stewardship programmes should include community pharmacies and informal vendors

Antibiotic use from formal and informal healthcare providers in the Democratic Republic of Congo: a population-based study in two health zones

Objective: In the Democratic Republic of Congo and other low-resource countries, community-acquired pathogens are increasingly resistant to most locally available antibiotics. To guide efforts to optimize antibiotic use to limit antibiotic resistance, we quantified healthcare provider–specific and community-wide antibiotic use. Methods: From household surveys, we estimated monthly healthcare visit rates by provider. From healthcare visit exit surveys, we estimated prevalence, defined daily doses, and access/watch/reserve distribution of antibiotic use by provider. Combining both, we estimated community-wide antibiotic use rates. Results: Of 88.7 (95% CI 81.9–95.4) healthcare visits per 1000 person-months (n = 31221), visits to private clinics (31.0, 95% CI 30.0–32.0) and primary health centres (25.5, 95% CI 24.6–26.4) were most frequent. Antibiotics were used during 64.3% (95% CI 55.2–73.5%, 162/224) of visits to private clinics, 51.1% (95% CI 45.1–57.2%, 245/469) to health centres, and 48.8% (95% CI 44.4–53.2%, 344/454) to medicine stores. Antibiotic defined daily doses per 1000 inhabitants per day varied between 1.75 (95% CI 1.02–2.39) in rural Kimpese and 10.2 (95% CI 6.00–15.4) in (peri) urban Kisantu, mostly explained by differences in healthcare utilisation (respectively 27.8 versus 105 visits per 1000 person-months), in particular of private clinics (1.23 versus 38.6 visits) where antibiotic use is more frequent. The fraction of Watch antibiotics was 30.3% (95% CI 24.6–35.9%) in private clinics, 25.6% (95% CI 20.2–31.1%) in medicine stores, and 25.1% (95% CI 19.0–31.2%) in health centres. Treatment durations <3 days were more frequent at private clinics (5.3%, 9/169) and medicine stores (4.1%, 14/338) than at primary health centres (1.8%, 5/277). Discussion: Private healthcare providers, ubiquitous in peri-urban settings, contributed most to community-wide antibiotic use and more frequently dispensed Watch antibiotics and shortened antibiotic courses. Efforts to optimize antibiotic use should include private providers at community level

Mild and moderate COVID-19 during Alpha, Delta and Omicron pandemic waves in urban Maputo, Mozambique, December 2020-March 2022: A population-based surveillance study

In sub-Saharan Africa, reported COVID-19 numbers have been lower than anticipated, even when considering populations’ younger age. The extent to which risk factors, established in industrialised countries, impact the risk of infection and of disease in populations in sub-Saharan Africa, remains unclear. We estimated the incidence of mild and moderate COVID-19 in urban Mozambique and analysed factors associated with infection and disease in a population-based surveillance study. During December 2020-March 2022, 1,561 households (6,049 participants, median 21 years, 54.8% female, 7.3% disclosed HIV positive) of Polana Caniço, Maputo, Mozambique, were visited biweekly to report respiratory symptoms, anosmia, or ageusia, and self-administer a nasal swab for SARS-CoV-2 testing. Every three months, dried blood spots of a subset of participants (1,412) were collected for detection of antibodies against SARS-CoV-2 spike glycoprotein and nucleocapsid protein. Per 1000 person-years, 364.5 (95%CI 352.8–376.1) respiratory illness episodes were reported, of which 72.2 (95%CI 60.6–83.9) were COVID-19. SARS-CoV-2 seroprevalence rose from 4.8% (95%CI 1.1–8.6%) in December 2020 to 34.7% (95%CI 20.2–49.3%) in June 2021, when 3.0% were vaccinated. Increasing age, chronic lung disease, hypertension, and overweight increased risk of COVID-19. Older age increased the risk of SARSCoV-2 seroconversion. We observed no association between socio-economic status, behaviour and COVID-19 or SARS-CoV-2 seroconversion. Active surveillance in an urban population confirmed frequent COVID-19 underreporting, yet indicated that the large majority of cases were mild and non-febrile. In contrast to reports from industrialised countries, social deprivation did not increase the risk of infection nor disease

A genomic appraisal of invasive Salmonella Typhimurium and associated antibiotic resistance in sub-Saharan Africa

Invasive non-typhoidal Salmonella (iNTS) disease manifesting as bloodstream infection with high mortality is responsible for a huge public health burden in sub-Saharan Africa. Salmonella enterica serovar Typhimurium (S. Typhimurium) is the main cause of iNTS disease in Africa. By analysing whole genome sequence data from 1303 S. Typhimurium isolates originating from 19 African countries and isolated between 1979 and 2017, here we show a thorough scaled appraisal of the population structure of iNTS disease caused by S. Typhimurium across many of Africa’s most impacted countries. At least six invasive S. Typhimurium clades have already emerged, with ST313 lineage 2 or ST313-L2 driving the current pandemic. ST313-L2 likely emerged in the Democratic Republic of Congo around 1980 and further spread in the mid 1990s. We observed plasmid-borne as well as chromosomally encoded fluoroquinolone resistance underlying emergences of extensive-drug and pan-drug resistance. Our work provides an overview of the evolution of invasive S. Typhimurium disease, and can be exploited to target control measures

A genomic appraisal of invasive Salmonella Typhimurium and associated antibiotic resistance in sub-Saharan Africa

Invasive non-typhoidal Salmonella (iNTS) disease manifesting as bloodstream infection with high mortality is responsible for a huge public health burden in sub-Saharan Africa. Salmonella enterica serovar Typhimurium (S. Typhimurium) is the main cause of iNTS disease in Africa. By analysing whole genome sequence data from 1303 S. Typhimurium isolates originating from 19 African countries and isolated between 1979 and 2017, here we show a thorough scaled appraisal of the population structure of iNTS disease caused by S. Typhimurium across many of Africa’s most impacted countries. At least six invasive S. Typhimurium clades have already emerged, with ST313 lineage 2 or ST313-L2 driving the current pandemic. ST313-L2 likely emerged in the Democratic Republic of Congo around 1980 and further spread in the mid 1990s. We observed plasmid-borne as well as chromosomally encoded fluoroquinolone resistance underlying emergences of extensive-drug and pan-drug resistance. Our work provides an overview of the evolution of invasive S. Typhimurium disease, and can be exploited to target control measures

A genomic appraisal of invasive Salmonella Typhimurium and associated antibiotic resistance in sub-Saharan Africa

Invasive non-typhoidal Salmonella (iNTS) disease manifesting as bloodstream infection with high mortality is responsible for a huge public health burden in sub-Saharan Africa. Salmonella enterica serovar Typhimurium (S. Typhimurium) is the main cause of iNTS disease in Africa. By analysing whole genome sequence data from 1303 S. Typhimurium isolates originating from 19 African countries and isolated between 1979 and 2017, here we show a thorough scaled appraisal of the population structure of iNTS disease caused by S. Typhimurium across many of Africa’s most impacted countries. At least six invasive S. Typhimurium clades have already emerged, with ST313 lineage 2 or ST313-L2 driving the current pandemic. ST313-L2 likely emerged in the Democratic Republic of Congo around 1980 and further spread in the mid 1990s. We observed plasmid-borne as well as chromosomally encoded fluoroquinolone resistance underlying emergences of extensive-drug and pan-drug resistance. Our work provides an overview of the evolution of invasive S. Typhimurium disease, and can be exploited to target control measures

Preventing and controlling outbreaks and AMR: From counting cases to monitoring risks

Disease control measures during large infectious disease outbreaks rely mainly on counting disease cases, which can result in under- or delayed reporting. I explored surveillance complements and alternative surveillance data addressing limitations of facility-based disease surveillance, to more effectively inform measures. Control measures require timely and accurate identification of disease cases in order to be effective. Controlling the 2014-2016 Ebola outbreak in West Africa largely relied on the isolation of confirmed cases. Confirming an Ebola infection could take several days, creating barriers to testing and isolation. A single on-site test combined with clinical and epidemiological data could speed up admission, tailored care, and remove test/isolation barriers. Similarly, during the 2016 yellow fever outbreak in DR Congo, case definitions using recent epidemiological data could speed up detection, which at the time required jaundice, appearing late in disease progression, delaying patient management, isolation, and vector control. When outbreak control measures are introduced only when a threshold in the number of cases reported in disease surveillance is exceeded, measures are inherently delayed – depending on the disease, that is either problematic or acceptable. To respond timely to outbreaks of infectious diseases with strong growth potential - cholera in non-endemic areas, COVID-19 - the risk of an outbreak can be a better indicator to inform interventions. To identify areas and populations that should be prioritised for oral cholera in DR Congo, we analysed the historical geographical distribution of cholera cases and deaths, from which we deduced where outbreaks and highest case fatality can be expected during a future outbreak. Similarly, data tracking risk behaviour over time can timely inform control measures or estimate the impact of different interventions on epidemic growth. We could use the trend in the average number of reported risk contacts from COVID-19 contact tracing to model changes in daily COVID-19 incidence, and estimate what combination of interventions might be sufficient to keep virus circulation low. For interventions to control antimicrobial resistance in low- and middle-income countries, where bacteria acquire resistance or resistant bacteria are transmitted at community level, classical hospital surveillance is particularly inadequate, delayed or non-existent. Unlike industrialised countries, access to hospitals and diagnostics is limited and the disease burden of antibiotic resistance is not mainly attributable to hospital-acquired infections. Monitoring modifiable risk factors as antibiotic use or hygienic conditions at community level better inform and evaluate interventions targeting these risks. As measuring outpatient antibiotic use is complicated by a significant proportion of antibiotic self-medication, over-the-counter medicine vendors or private clinics need to be included in population-level antibiotic use surveillance. Linking risk surveillance, such as spread during past outbreaks, human behaviour, mobility, immunity or uptake of control measures, to facility-based disease surveillance can allow earlier and more targeted prevention/control measures to be deployed