Humanitarian Medical Aid Mission in the Middle of a Pandemic - Israeli Experience in Equatorial Guinea.

INTRODUCTION: In March 2021, a series of explosions shook a military base in Bata, Equatorial Guinea. As a response to government officials' request, the Israel Defense Forces Medical Corps (IDF-MC) deployed an emergency aid team that faced two major challenges: (1) understanding the scenario, the injury patterns, and the needs of the local medical system; and (2) minimizing the coronavirus disease 2019 (COVID-19) outbreak threats. This report describes the team design, the activities performed before and during the deployment, analyzes the pathology encountered, and shares lessons learned from the mission. SOURCES: Data were collected from the delegation protocols and IDF medical records. All activities of the Israeli delegation were coordinated with the local government. OBSERVATIONS: The local authorities reported that a total of 107 people were killed and more than 700 people were wounded. The team was the first international team to arrive at the scene and assisted the local medical teams to treat 231 patients in the three local hospitals and 213 patients in field clinics in the villages surrounding Bata. The COVID-19 pandemic influenced the operation of this mission, and caution measures were activated. ANALYSIS: Unplanned explosions at munitions sites (UEMS) are a growing problem causing the medical teams to face unique challenges. By understanding the expected challenges, the team was reinforced with a plastic surgeon, portable ultrasound devices, a large amount and a variety of antibiotics, whole blood units, and freeze-dried plasma. Rehabilitation experts were needed in some cases in the week following the injury. An important key for the success of this kind of medical aid delegation is the collaboration with the local medical teams, which enhances patient care.

Genomic Surveillance Enables the Identification of Co-infections With Multiple SARS-CoV-2 Lineages in Equatorial Guinea.

COVID-19 disease caused by SARS-CoV-2 represents an ongoing global public health emergency. Rapid identification of emergence, evolution, and spread of SARS-CoV-2 variants of concern (VOC) would enable timely and tailored responses by public health decision-making bodies. Yet, global disparities in current SARS-CoV-2 genomic surveillance activities reveal serious geographical gaps. Here, we discuss the experiences and lessons learned from the SARS-CoV-2 monitoring and surveillance program at the Public Health Laboratory on Bioko Island, Equatorial Guinea that was implemented as part of the national COVID-19 response and monitoring activities. We report how three distinct SARS-CoV-2 variants have dominated the epidemiological situation in Equatorial Guinea since March 2020. In addition, a case of co-infection of two SARS-CoV-2 VOC, Beta and Delta, in a clinically asymptomatic and fully COVID-19 vaccinated man living in Equatorial Guinea is presented. To our knowledge, this is the first report of a person co-infected with Beta and Delta VOC globally. Rapid identification of co-infections is relevant since these might provide an opportunity for genetic recombination resulting in emergence of novel SARS-CoV-2 lineages with enhanced transmission or immune evasion potential.

Rapid Identification of SARS-CoV-2 Variants of Concern Using a Portable peakPCR Platform.

The need for tools that facilitate rapid detection and continuous monitoring of SARS-CoV-2 variants of concern (VOCs) is greater than ever, as these variants are more transmissible and therefore increase the pressure of COVID-19 on healthcare systems. To address this demand, we aimed at developing and evaluating a robust and fast diagnostic approach for the identification of SARS-CoV-2 VOC-associated spike gene mutations. Our diagnostic assays detect the E484K and N501Y single-nucleotide polymorphisms (SNPs) as well as a spike gene deletion (HV69/70) and can be run on standard laboratory equipment or on the portable rapid diagnostic technology platform peakPCR. The assays achieved excellent diagnostic performance when tested with RNA extracted from culture-derived SARS-CoV-2 VOC lineages and clinical samples collected in Equatorial Guinea, Central-West Africa. Simplicity of usage and the relatively low cost are advantages that make our approach well suitable for decentralized and rapid testing, especially in resource-limited settings.

Association between the spread of COVID-19 and weather-climatic parameters.

OBJECTIVE: To explore whether the climate has played a role in the COVID-19 outbreak, we compared virus lethality in countries closer to the Equator with others. Lethality in European territories and in territories of some nations with a non-temperate climate was also compared. MATERIALS AND METHODS: Lethality was calculated as the rate of deaths in a determinate moment from the outbreak of the pandemic out of the total of identified positives for COVID-19 in a given area/nation, based on the COVID-John Hopkins University website. Lethality of countries located within the 5th parallels North/South on 6 April and 6 May 2020, was compared with that of all the other countries. Lethality in the European areas of The Netherlands, France and the United Kingdom was also compared to the territories of the same nations in areas with a non-temperate climate. RESULTS: A lower lethality rate of COVID-19 was found in Equatorial countries both on April 6 (OR=0.72 CI 95% 0.66-0.80) and on May 6 (OR=0.48, CI 95% 0.47-0.51), with a strengthening over time of the protective effect. A trend of higher risk in European vs. non-temperate areas was found on April 6, but a clear difference was evident one month later: France (OR=0.13, CI 95% 0.10-0.18), The Netherlands (OR=0.5, CI 95% 0.3-0.9) and the UK (OR=0.2, CI 95% 0.01-0.51). This result does not seem to be totally related to the differences in age distribution of different sites. CONCLUSIONS: The study does not seem to exclude that the lethality of COVID-19 may be climate sensitive. Future studies will have to confirm these clues, due to potential confounding factors, such as pollution, population age, and exposure to malaria.