Morbidity burden of lymphatic filariasis (LF) relies on the information from the Mass Drug Administration (MDA) programme where Community Health Volunteers (CHVs) passively report cases identified. Consequently, the exact prevalence of morbidity cases is not always accurate. The use of mobile phone technology to report morbidity cases was piloted in Ghana using a text-based short messaging service (SMS) tool by CHVs. Though successful, illiterate CHVs could not effectively use the SMS tool. The aim of this study was to evaluate the use of a mobile phone-based Interactive Voice Response System (mIVRS) by CHVs in reporting LF morbidity cases and acute dermatolymphangioadenitis (ADLA) attacks in Ghana. The mIVRS was designed as a surveillance tool to capture LF data in Kassena Nankana Districts of Ghana. One hundred CHVs were trained to identify and report lymphedema and hydrocele cases as well as ADLA attacks by calling a hotline linked to the mIVRS. The system asked a series of questions about the disease condition. The ability of the CHV to report accurately was assessed and the data from the mIVRS were compared with the paper records from the CHVs and existing MDA programme records from the same communities and period. Higher numbers of lymphedema and hydrocele cases were recorded by the CHVs using the mIVRS (n = 590 and n = 103) compared to the paper-based reporting (n = 417 and n = 76) and the MDA records (n = 154 and n = 84). Female CHVs, CHVs above 40 years, and CHVs with higher educational levels were better at paper-based reporting (P = 0.007, P = 0.001, P = 0.049 respectively). The system, when fully developed and linked to national databases, may help to overcome underreporting of morbidity cases and ADLA attacks in endemic communities. The system has the potential to be further expanded to other diseases.

Known human coronaviruses are believed to have originated in animals and made use of intermediate hosts for transmission to humans. The intermediate hosts of most of the human coronaviruses are known, but not for HCoV-NL63. This study aims to assess the possible role of some major domestic livestock species as intermediate hosts of HCoV-NL63. We developed a testing algorithm for high throughput screening of livestock sera with ELISA and confirmation with recombinant immunofluorescence assay testing for antibodies against HCoV-NL63 in livestock. Optimization of the ELISA showed a capability of the assay to significantly distinguish HCoV-NL63 from HCoV-229E (U = 27.50, p < 0.001) and HCoV-OC43 (U = 55.50, p < 0.001) in coronavirus-characterized sera. Evaluation of the assay with collected human samples showed no significant difference in mean optical density values of immunofluorescence-classified HCoV-NL63-positive and HCoV-NL63-negative samples (F (1, 215) = 0.437, p = 0.509). All the top 5% (n = 8) most reactive human samples tested by ELISA were HCoV-NL63 positive by immunofluorescence testing. In comparison, only a proportion (84%, n = 42) of the top 25% were positive by immunofluorescence testing, indicating an increased probability of the highly ELISA reactive samples testing positive by the immunofluorescence assay. None of the top 5% most ELISA reactive livestock samples were positive for HCoV-NL63-related viruses by immunofluorescence confirmation. Ghanaian domestic livestock are not likely intermediate hosts of HCoV-NL63-related coronaviruses.

The emergence of Middle East Respiratory Syndrome Coronavirus (MERS-CoV), nearly a decade ago with worldwide distribution, was believed to be of zoonotic origin from bats with dromedary camels as intermediate hosts. There is a likelihood of other domestic livestock serving as intermediate hosts for this virus. The presence of coronaviruses, closely related to MERS-CoV in Ghanaian bats, presented the opportunity to test the hypothesis of transmissibility of this virus through domestic livestock species. The possible interactions between livestock and bats in 31 household farms were accessed by observation and interviews with farmers. Rectal swabs and serum from cattle, sheep, goats, donkeys, and swine from commercial and household farms were tested for MERS-CoV and a Nycteris sp. bat coronavirus, previously detected in Ghana. A pan-PCR assay to detect clade 2c viruses and recombinant immunofluorescence assay to detect anti-spike IgG antibodies against the target viruses were used. Likely contact between livestock and bats was determined for 13 farms (41.9%) that reported confining their livestock and also observing bats in their homes. Livestock were left unconfined on eight farms (25.8%) that also observed bats roosting in trees close to their homes. No viral RNA or antibodies against the two coronaviruses were detected in any of the livestock species tested. Cattle, sheep, goats, donkeys, and swine are not likely hosts of clade 2c coronaviruses.

The use of motor tricycles in transporting municipal solid waste (MSW) within urban and peri-urban towns in Ghana is on the increase. This activity often leads to the introduction of pathogen-containing bioaerosols into the environment, as well as to the tricycle operators. We sought to investigate the prevalence and associated risk factors of respiratory pathogens among solid waste tricycle operators. A cross-sectional study was conducted among 155 solid waste transporters who use motor tricycles using semi-structured interviews. Nasopharyngeal swabs were obtained from participants and screened for respiratory pathogens using Polymerase Chain Reaction (PCR). Pathogens detected in participants were SARS-CoV-2 (n = 10, 6.5%) and Streptococcus pneumoniae (n = 10, 6.5%), constituting an overall prevalence of 12.9% and co-infection rate of 1.3%. The most common self-reported symptoms were cough (n = 67, 43.2%), sore throat (n = 44, 28.4%) and difficulty in breathing (n = 22, 14.2%). Adherence to the use of gloves (n = 117, 75.5%) and nose mask (n = 110, 71.0%) was high. There was a significant association between the detection of respiratory pathogens and the use of gloves, use of more than one PPE and exposure to other pollutants (p < 0.05). Individuals who were exposed to “other pollutants” significantly had lower odds of becoming infected with respiratory pathogens (Adj. OR (95% CI): 0.119(0.015,0.938). Although prevalence of respiratory pathogens is generally low, strict adherence to PPE use could further reduce its rates to even lower levels. Governmental health institutions and informal solid waste transporters should address challenges related to exposure to pollutants, use of gloves, and multiple PPE.

This study investigates the perceptions of cocoa farmers in Offinso and Adansi Districts, Ghana, regarding the impact of climate change on their yields, income, and food security. The findings aim to inform policy development and potential mitigation and adaptation strategies. A total of 282 cocoa farmers participated alongside Key Informants. The results indicate a strong consensus among farmers that climate change has negatively affected their yields (0.518 ± 0.501), increased pest and disease prevalence (0.518 ± 0.501), and contributed to cocoa tree mortality (0.482 ± 0.501). This perception is reinforced by the ranking of challenges, where poor yields and increased pest/disease emerged as the most prominent challenges (Relative Importance Index of 0.87 and 0.79, respectively). Interestingly, farmers' perceptions diverged regarding food security. They expressed neutrality towards statements suggesting a negative climate change impact on their food security status (Perception Index = 2.89). These findings highlight the critical challenge of reduced cocoa yield due to climate change for farmers. It is therefore recommended that the Ghana Cocoa Board (COCOBOD), through its extension division, implement immediate actions to educate farmers within the two districts on climate change mitigation strategies. This intervention aligns with achieving the Sustainable Development Goals 1 (No Poverty), 2 (Zero Hunger), and 13 (Climate Action). Received: 26 April 2024 | Revised: 18 June 2024 | Accepted: 6 August 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement John Tennyson Afele: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Data Curation, Writing - Original Draft, Writing - Review & Editing, Visualization. Olivia Agbenyega: Conceptualization, Methodology, Validation, Resources, Writing - Review & Editing, Supervision, Funding acquisition. Victor Rex Barnes: Conceptualization, Resources, Supervision, Project administration, Funding acquisition. Steve Amisah: Conceptualization, Project administration, Funding acquisition. Finn Plauborg: Writing - Review & Editing. Søren Marcus Pedersen: Writing - Review & Editing. Torsten Rødel Berg: Conceptualization. Joseph Anokye: Methodology, Data Curation. Stephen Yaw Opoku: Methodology, Data Curation. Richard Asante: Methodology, Data Curation. Eunice Nimo: Conceptualization, Data Curation, Writing - Review & Editing, Visualization. Evans Dawoe: Conceptualization, Supervision.