Displaying publications 21 - 40 of 684 in total

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  1. Mire CE, Satterfield BA, Geisbert TW
    Methods Mol Biol, 2023;2682:159-173.
    PMID: 37610581 DOI: 10.1007/978-1-0716-3283-3_12
    Hendra and Nipah viruses are henipaviruses that have caused lethal human disease in Australia and Malaysia, Bangladesh, India, and the Philippines, respectively. These viruses are considered Category C pathogens by the US Centers for Disease Control. Nipah virus was recently placed on the World Health Organization Research and Development Blueprint Roadmaps for vaccine and therapeutic development. Given the infrequent and unpredictable nature of henipavirus outbreaks licensure of vaccines and therapeutics will likely require an animal model to demonstrate protective efficacy against henipavirus disease. Studies have shown that nonhuman primates are the most accurate model of human henipavirus disease and would be an important component of any application for licensure of a vaccine or antiviral drug under the US FDA Animal Rule. Nonhuman primate model selection and dosing are discussed regarding vaccine and therapeutic studies against henipaviruses.
    Matched MeSH terms: Disease Outbreaks
  2. Lo MK
    Methods Mol Biol, 2023;2682:87-92.
    PMID: 37610575 DOI: 10.1007/978-1-0716-3283-3_6
    Spillovers of Nipah virus (NiV) from its pteropid bat reservoir into the human population continue to cause near-annual outbreaks of fatal encephalitis and respiratory disease in Bangladesh and India since its emergence in Malaysia over 20 years ago. The current lack of effective antiviral therapeutics against NiV merits further testing of compound libraries against NiV using rapid quantitative antiviral assays. The development of recombinant henipaviruses expressing reporter fluorescence and/or luminescence proteins has facilitated the screening of such libraries. In this chapter, we provide a basic protocol for both types of reporter viruses. Utilizing these live NiV-based reporter assays requires modest instrumentation and sidesteps the labor-intensive steps associated with traditional cytopathic effect or viral antigen-based assays.
    Matched MeSH terms: Disease Outbreaks
  3. Patel K, Klena J, Lo MK
    Methods Mol Biol, 2023;2682:25-31.
    PMID: 37610571 DOI: 10.1007/978-1-0716-3283-3_2
    From its discovery in Malaysia in the late 1990s, the spillover of the Nipah virus from its pteropid reservoir into the human population has resulted in sporadic outbreaks of fatal encephalitis and respiratory disease. In this chapter, we revise a previously described quantitative reverse transcription polymerase chain reaction method, which now utilizes degenerate nucleotides at certain positions in the probe and the reverse primer to accommodate the sequence heterogeneity observed within the Nipah henipavirus species.
    Matched MeSH terms: Disease Outbreaks
  4. Togami E, Chiew M, Lowbridge C, Biaukula V, Bell L, Yajima A, et al.
    PMID: 37064541 DOI: 10.5365/wpsar.2023.14.1.973
    The global burden of dengue, an emerging and re-emerging mosquito-borne disease, increased during the 20-year period ending in 2019, with approximately 70% of cases estimated to have been in Asia. This report describes the epidemiology of dengue in the World Health Organization's Western Pacific Region during 2013-2019 using regional surveillance data reported from indicator-based surveillance systems from countries and areas in the Region, supplemented by publicly available dengue outbreak situation reports. The total reported annual number of dengue cases in the Region increased from 430 023 in 2013 to 1 050 285 in 2019, surpassing 1 million cases for the first time in 2019. The reported case-fatality ratio ranged from 0.19% (724/376 972 in 2014 and 2030/1 050 285 in 2019) to 0.30% (1380/458 843 in 2016). The introduction or reintroduction of serotypes to specific areas caused several outbreaks and rare occurrences of local transmission in places where dengue was not previously reported. This report reinforces the increased importance of dengue surveillance systems in monitoring dengue across the Region.
    Matched MeSH terms: Disease Outbreaks*
  5. Ang ZY, Balqis-Ali NZ, Jailani AS, Kong YL, Sharif SM, Fun WH
    PMID: 38230253 DOI: 10.5365/wpsar.2023.14.4.1058
    OBJECTIVE: Effective prevention and control measures are essential to contain outbreaks of infectious diseases, such as coronavirus disease (COVID-19). Understanding the characteristics of case clusters can contribute to determining which prevention and control measures are needed. This study describes the characteristics of COVID-19 case clusters in Malaysia, the method used to detect a cluster's index case and the mode of early transmission, using the seven cluster categories applied in Malaysia.

    METHODS: This cross-sectional study collected publicly available data on COVID-19 clusters occurring in Malaysia from 1 March 2020 to 31 May 2021. The characteristics of cases were described by category, and their associations with several outcomes were analysed. Descriptive analyses were performed to explore the method used to detect the index case and the mode of early transmission, according to cluster category.

    RESULTS: A total of 2188 clusters were identified. The workplace cluster category had the largest proportion of clusters (51.5%, 1126/2188 clusters), while the custodial settings category had the largest median cluster size (178 cases per cluster) and longest median duration of cluster (51 days). The high-risk groups category had the highest mortality. There were significant differences in cluster size, duration and rate of detection across the categories. Targeted screening was most commonly used to detect index cases, especially in custodial settings, and in imported and workplace clusters. Household-social and social-workplace contacts were the most common modes of early transmission across most categories.

    DISCUSSION: Targeted screening might effectively reduce the size and duration of COVID-19 clusters. Measures to prevent and control COVID-19 outbreaks should be continually adjusted based on ongoing assessments of the unique context of each cluster.

    Matched MeSH terms: Disease Outbreaks/prevention & control
  6. Syamsiah Aini S, Leow BL, Faizul Fikri MY, Muhammad Redzwan S, Faizah Hanim MS
    Trop Biomed, 2022 Dec 01;39(4):579-586.
    PMID: 36602219 DOI: 10.47665/tb.39.4.015
    Newcastle disease (ND) is an extremely contagious and fatal viral disease causing huge economic losses to the poultry industry. Following recent ND outbreaks in Sabah in commercial poultry and backyard farms, it was speculated that this could be due to a new introduction of Newcastle Disease Virus (NDV) genotype/sub-genotype. Here we report the genetic characterization of NDVs isolated from Sabah during early 2021. All isolates were amplified and sequenced with primers specific to the viral fusion (F) gene using reverse transcription-polymerase chain reaction (RT-PCR). Nucleotide sequence analysis of the F gene showed that all isolates shared similar homology of 99.4% with NDV strain from Iran isolated in 2018. Amino acid sequences of the F protein cleavage site revealed the motif of 112RRQKRF117 indicating all isolates were of virulent strain. Phylogenetic analysis demonstrated that all isolates were clustered under sub-genotype VII 1.1 and clustered together with isolates from Iran (previously known as subgenotype VIIl). The present findings suggested that there is an emerging of a new sub-genotype into the poultry population in Sabah and this sub-genotype has never been reported before in Malaysia. Therefore, transboundary monitoring and continuous surveillance should be implemented for proper control and prevention of the disease. A further molecular epidemiological analysis of NDV is needed to well understand the circulatory patterns of virulent strains of NDV in the country to prevent future outbreaks.
    Matched MeSH terms: Disease Outbreaks/veterinary
  7. Chanchaidechachai T, Saatkamp H, de Jong M, Inchaisri C, Hogeveen H, Premashthira S, et al.
    Transbound Emerg Dis, 2022 Nov;69(6):3823-3836.
    PMID: 36321258 DOI: 10.1111/tbed.14754
    Foot-and-mouth disease (FMD) is one of the most important animal diseases hindering livestock production in Thailand. In this study, a temporal and spatial analysis at the subdistrict level was performed on FMD outbreak reports in Thailand from 2011 to 2018. Risk factors associated with FMD outbreaks were furthermore investigated using generalized estimating equations. The results showed that the incidence of FMD outbreaks was the highest in 2016 and was affected by season, with a peak in FMD outbreaks occurring in the rainy-winter season, during October to December. FMD outbreaks were mostly distributed in small clusters within a few subdistricts. Some high-risk areas with repeated outbreaks were detected in the central regions. Risk factors, including the increase of subdistrict's size of the dairy population, beef population or pig population, the low percentage of forest area, subdistricts in the provinces adjacent to Malaysia, the presence of a livestock market and the occurrence of an FMD outbreak in a neighbouring subdistrict in the previous month significantly increased the odds of having an FMD outbreak. The increase in proximity to the nearest subdistrict with an FMD outbreak in the previous month decreased the odds of having FMD outbreaks. This study helped to identify high-risk areas and periods of FMD outbreaks in Thailand. Together with the identified risk factors, its results can be used to optimize the FMD control programme in Thailand and in other countries having a similar livestock industry and FMD situation.
    Matched MeSH terms: Disease Outbreaks/veterinary
  8. Jairoun AA, Al-Hemyari SS, Abdulla NM, El-Dahiyat F, Shahwan M, Hassan N, et al.
    J Infect Public Health, 2022 Oct;15(10):1065-1071.
    PMID: 36087548 DOI: 10.1016/j.jiph.2022.08.015
    BACKGROUND: The growing number of human monkeypox cases worldwide illustrates the importance of early detection, prevention, management and quick action from healthcare authorities. The WHO confirmed a hundred of Monkeypox cases worldwide and disclosed Monkdypox as a worldwide emergency situation OBJECTIVES: To assess the knowledge about human monkeypox' source, signs/symptoms, transmission, prevention and treatment among Al Ain university students in the UAE.

    METHODS: This descriptive cross-sectional study aimed to assess Al Ain University students' knowledge of Human Monkeypox. A validated questionnaire was distributed to students between lectures. The respondents' knowledge of human Monkeypox was assessed by 21 questions that examined the participants' knowledge of Monkeypox as follows: 5 items examined knowledge of the source, definition, and incubation time; 2items assessed the mechanism of transmission of human Monkeypox, 7 items assessed the signs and symptoms; 7 items assessed the preventative measures; and 6 items assessed the treatment modalities. A multivariate logistic regression model was used to identify the factors influencing respondents' knowledge of human Monkeypox among university students.

    RESULTS: A total of five hundred and fifty-eight (558) students participated in the study. The average knowledge score was 70.1%, with a 95% confidence interval (CI) of 68.9 - 71.3. Of the total participants, 111 (19.9%) had poor knowledge about human Monkeypox, 320 (57.3%) had moderate knowledge, and 127 (22.8%) had good knowledge. The results of the statistical modelling showed that Old age (OR 0.681; 95% CI 1.005-1.016), female gender (OR 1.26; 95% CI 0.813 -0.961), participants from medical colleges (OR 1.22; 95% CI 1.13 -1.32) having a history of human chickenpox infection (OR 2.6; 95% CI 2.3-2.9) and receiving information on human Monkeypox during education (OR 1.14; 95% CI 1.05-1.2) were strong determinants for good knowledge about human Monkeypox.

    CONCLUSION: knowledge of Monkeypox among the participants is relatively low, particularly regarding the epidemiology, symptoms and treatments. Therefore, increasing knowledge of Monkeypox will be key to enhancing the capacity to respond to human monkeypox cases and to relay pertinent data to a disease surveillance system.

    Matched MeSH terms: Disease Outbreaks/prevention & control
  9. Karuniawati H, Sari N, Hossain MS, Ismail WI, Haq AHB, Yulianti T, et al.
    Int J Environ Res Public Health, 2022 Sep 22;19(19).
    PMID: 36231312 DOI: 10.3390/ijerph191912011
    The COVID-19 pandemic globally impacted physical, spiritual, and mental health (MH). The consequences significantly affected students' quality of life (QoL) too. This cross-sectional study assessed MH status and its relationship to the QoL of college students in Indonesia. This study collected data (September 2021-April 2022) online using the depression, anxiety, and stress scale-21 (DASS-21) to measure MH and the world health organization quality-of-life scale (WHOQoL-BREF) to measure the QoL. The data were analysed using SPSS with a bivariate and multivariate linear regression test. A total of 606 respondents participated in this study, with the majority being women (81.0%), aged 21-27 years (44.3%), and unmarried (98.5%) respondents. We observed 24.4% (n = 148) moderate depression, 18.3% (n = 111) very severe anxiety, and 21.1% (n = 128) moderate stress status. The QoL measurement determined that a moderate QoL in the physical and environmental health domains (>70%) and poor QoL in the psychological health domain (58.3%) were found. Gender, age, family support, history of COVID-19 diagnosis, family with COVID-19 diagnosis, vaccination status, and physical symptoms are significantly associated with MH status and QoL (p-value < 0.05). This study demonstrated that COVID-19 was negatively related to college students' MH and QoL. Targeted interventions may be needed to ameliorate both MH and QoL.
    Matched MeSH terms: Disease Outbreaks
  10. Alam AM
    Clin Med (Lond), 2022 Jul;22(4):348-352.
    PMID: 35760448 DOI: 10.7861/clinmed.2022-0166
    Nipah virus is an acute febrile illness that can cause fatal encephalitis. It is an emerging zoonotic paramyxovirus endemic to south-east Asia and the western Pacific, and can be transmitted by its primary reservoir of fruit bats, through intermediate animal vectors and by human-to-human spread. Outbreaks of Nipah virus encephalitis have occurred in Malaysia, Singapore, Philippines, India and Bangladesh, with the most recent outbreak occurring in Kerala, India in late 2021. Extremely high case fatality rates have been reported from these outbreaks, and to date no vaccines or therapeutic management options are available. Combining this with its propensity to present non-specifically, Nipah virus encephalitis presents a challenging diagnosis that should not be missed in patients returning from endemic regions. Raising awareness of the epidemiology, clinical presentation and risk factors of contracting Nipah virus is vital to recognise and manage potential outbreaks of this disease in the UK.
    Matched MeSH terms: Disease Outbreaks/prevention & control
  11. Gladstone RA, Siira L, Brynildsrud OB, Vestrheim DF, Turner P, Clarke SC, et al.
    Vaccine, 2022 Feb 11;40(7):1054-1060.
    PMID: 34996643 DOI: 10.1016/j.vaccine.2021.10.046
    BACKGROUND: Pneumococcal disease outbreaks of vaccine preventable serotype 4 sequence type (ST)801 in shipyards have been reported in several countries. We aimed to use genomics to establish any international links between them.

    METHODS: Sequence data from ST801-related outbreak isolates from Norway (n = 17), Finland (n = 11) and Northern Ireland (n = 2) were combined with invasive pneumococcal disease surveillance from the respective countries, and ST801-related genomes from an international collection (n = 41 of > 40,000), totalling 106 genomes. Raw data were mapped and recombination excluded before phylogenetic dating.

    RESULTS: Outbreak isolates were relatively diverse, with up to 100 SNPs (single nucleotide polymorphisms) and a common ancestor estimated around the year 2000. However, 19 Norwegian and Finnish isolates were nearly indistinguishable (0-2 SNPs) with the common ancestor dated around 2017.

    CONCLUSION: The total diversity of ST801 within the outbreaks could not be explained by recent transmission alone, suggesting that harsh environmental and associated living conditions reported in the shipyards may facilitate invasion of colonising pneumococci. However, near identical strains in the Norwegian and Finnish outbreaks does suggest that transmission between international shipyards also contributed to those outbreaks. This indicates the need for improved preventative measures in this working population including pneumococcal vaccination.

    Matched MeSH terms: Disease Outbreaks
  12. Appannan JS, Maheswaran L, Raimee N, Lim WL, Amran FH
    Work, 2022;73(4):1135-1145.
    PMID: 36057808 DOI: 10.3233/WOR-211467
    BACKGROUND: Millions of employees were laid off during the COVID-19 pandemic. The hospitality industry has been gravely hit by this crisis.

    OBJECTIVE: Drawing from the theory of conservation of resources (COR), our study aims to examine possible factors that influence turnover intention among hotel employees.

    METHODS: The hypotheses were tested on 141 hotel employees from Klang Valley, Malaysia. Data were collected by means of questionnaires, purposive sampling was employed, and PLS-SEM was used in performing the data analyses.

    RESULTS: Job insecurity and psychological distress were found to be the potent antecedent of turnover intention. In contrast, the role of perceived supervisor support did not significantly moderate the effects of both job insecurity and psychological distress on the quitting intention.

    CONCLUSION: Re-looking at existing policies and leadership styles may be fruitful in ensuring the sustainability path of an organization. This is pivotal in growing back the entire hospitality industry that has gravely affected by COVID-19.

    Matched MeSH terms: Disease Outbreaks
  13. Ding J, Qiao P, Wang J, Huang H
    Front Public Health, 2022;10:1052273.
    PMID: 36544788 DOI: 10.3389/fpubh.2022.1052273
    Food safety has received unprecedented attention since the COVID-19 outbreak. Exploring food safety regulatory mechanisms in the context of cluster public crises is critical for COVID-19 prevention and control. As a result, using data from a food safety regulation survey in the Bei-jing-Tianjin-Hebei urban cluster, this paper investigates the impact of food safety regulation on the prevention and control of COVID-19. The study found that food safety regulation and cluster public crisis prevention and control have a significant positive relationship, with the ability to integrate regulatory resources acting as a mediator between the two. Second, industry groups argue that the relationship between regulatory efficiency and regulatory resource integration should be moderated in a positive manner. Finally, industry association support positively moderates the mediating role of regulatory re-source integration capacity between food safety regulatory efficiency and cluster public crises, and there is a mediating effect of being moderated. Our findings shed light on the mechanisms underlying the roles of regulatory efficiency, resource integration capacity, and industry association support in food safety, and they serve as a useful benchmark for further improving food safety regulations during the COVID-19 outbreak.
    Matched MeSH terms: Disease Outbreaks
  14. Mohd Fuad SH, Juliana N, Mohd Azmi NAS, Mohd Fahmi Teng NI, Azmani S, Abu IF, et al.
    Front Public Health, 2022;10:829013.
    PMID: 35392476 DOI: 10.3389/fpubh.2022.829013
    In several regions of the world, the recent Coronavirus Disease-2019 (COVID-19) pandemic outbreak increased morbidity and mortality. The pandemic situation disrupted many workers' previously established lifestyles. The main aim of the present review was to describe the circadian disruption and occupational toxicant exposure affecting the immunity of shift workers during the SARS CoV-2 pandemic. We retrieved pertinent published literature from the Google Scholar, PubMed, and Scopus databases. In the present review, we discuss the circadian rhythm involving the hypothalamic-pituitary-adrenal (HPA) axis at the molecular level, its disruption, occupational toxicant exposure causing immunomodulatory effects, and the role of immunity during the SARS CoV-2 pandemic. The severity of the progression of the viral infection depends on multiple factors affecting immunity. Hence, shift workers may need to be aware of those factors such as circadian rhythm disruption as well as occupational toxicant exposure. The timing of shift workers' energy intake is also important concerning the shift of the workers. The information in the present review may be important for all workers who are at risk during the pandemic. In the absence of any published literature related to association of circadian rhythm disruption with occupational toxicant exposure, the present review may have greater importance.
    Matched MeSH terms: Disease Outbreaks
  15. Islam F, Bibi S, Meem AFK, Islam MM, Rahaman MS, Bepary S, et al.
    Int J Mol Sci, 2021 Nov 23;22(23).
    PMID: 34884440 DOI: 10.3390/ijms222312638
    Several coronaviruses (CoVs) have been associated with serious health hazards in recent decades, resulting in the deaths of thousands around the globe. The recent coronavirus pandemic has emphasized the importance of discovering novel and effective antiviral medicines as quickly as possible to prevent more loss of human lives. Positive-sense RNA viruses with group spikes protruding from their surfaces and an abnormally large RNA genome enclose CoVs. CoVs have already been related to a range of respiratory infectious diseases possibly fatal to humans, such as MERS, SARS, and the current COVID-19 outbreak. As a result, effective prevention, treatment, and medications against human coronavirus (HCoV) is urgently needed. In recent years, many natural substances have been discovered with a variety of biological significance, including antiviral properties. Throughout this work, we reviewed a wide range of natural substances that interrupt the life cycles for MERS and SARS, as well as their potential application in the treatment of COVID-19.
    Matched MeSH terms: Disease Outbreaks
  16. Nellis S, Loong SK, Abd-Jamil J, Fauzi R, AbuBakar S
    Geospat Health, 2021 11 03;16(2).
    PMID: 34730321 DOI: 10.4081/gh.2021.1008
    Dengue is a complex disease with an increasing number of infections worldwide. This study aimed to analyse spatiotemporal dengue outbreaks using geospatial techniques and examine the effects of the weather on dengue outbreaks in the Klang Valley area, Kuala Lumpur, Malaysia. Daily weather variables including rainfall, temperature (maximum and minimum) and wind speed were acquired together with the daily reported dengue cases data from 2001 to 2011 and converted into geospatial format to identify whether there was a specific pattern of the dengue outbreaks. The association between these variables and dengue outbreaks was assessed using Spearman's correlation. The result showed that dengue outbreaks consistently occurred in the study area during a 11-year study period. And that the strongest outbreaks frequently occurred in two high-rise apartment buildings located in Kuala Lumpur City centre. The results also show significant negative correlations between maximum temperature and minimum temperature on dengue outbreaks around the study area as well as in the area of the high-rise apartment buildings in Kuala Lumpur City centre.
    Matched MeSH terms: Disease Outbreaks
  17. Ariffin MRK, Gopal K, Krishnarajah I, Che Ilias IS, Adam MB, Arasan J, et al.
    Sci Rep, 2021 Oct 20;11(1):20739.
    PMID: 34671103 DOI: 10.1038/s41598-021-99541-0
    Since the first coronavirus disease 2019 (COVID-19) outbreak appeared in Wuhan, mainland China on December 31, 2019, the geographical spread of the epidemic was swift. Malaysia is one of the countries that were hit substantially by the outbreak, particularly in the second wave. This study aims to simulate the infectious trend and trajectory of COVID-19 to understand the severity of the disease and determine the approximate number of days required for the trend to decline. The number of confirmed positive infectious cases [as reported by Ministry of Health, Malaysia (MOH)] were used from January 25, 2020 to March 31, 2020. This study simulated the infectious count for the same duration to assess the predictive capability of the Susceptible-Infectious-Recovered (SIR) model. The same model was used to project the simulation trajectory of confirmed positive infectious cases for 80 days from the beginning of the outbreak and extended the trajectory for another 30 days to obtain an overall picture of the severity of the disease in Malaysia. The transmission rate, β also been utilized to predict the cumulative number of infectious individuals. Using the SIR model, the simulated infectious cases count obtained was not far from the actual count. The simulated trend was able to mimic the actual count and capture the actual spikes approximately. The infectious trajectory simulation for 80 days and the extended trajectory for 110 days depicts that the inclining trend has peaked and ended and will decline towards late April 2020. Furthermore, the predicted cumulative number of infectious individuals tallies with the preparations undertaken by the MOH. The simulation indicates the severity of COVID-19 disease in Malaysia, suggesting a peak of infectiousness in mid-March 2020 and a probable decline in late April 2020. Overall, the study findings indicate that outbreak control measures such as the Movement Control Order (MCO), social distancing and increased hygienic awareness is needed to control the transmission of the outbreak in Malaysia.
    Matched MeSH terms: Disease Outbreaks
  18. Law KB, M Peariasamy K, Mohd Ibrahim H, Abdullah NH
    Sci Rep, 2021 10 18;11(1):20574.
    PMID: 34663839 DOI: 10.1038/s41598-021-00013-2
    The conventional susceptible-infectious-recovered (SIR) model tends to magnify the transmission dynamics of infectious diseases, and thus the estimated total infections and immunized population may be higher than the threshold required for infection control and eradication. The study developed a new SIR framework that allows the transmission rate of infectious diseases to decline along with the reduced risk of contact infection to overcome the limitations of the conventional SIR model. Two new SIR models were formulated to mimic the declining transmission rate of infectious diseases at different stages of transmission. Model A utilized the declining transmission rate along with the reduced risk of contact infection following infection, while Model B incorporated the declining transmission rate following recovery. Both new models and the conventional SIR model were then used to simulate an infectious disease with a basic reproduction number (r0) of 3.0 and a herd immunity threshold (HIT) of 0.667 with and without vaccination. Outcomes of simulations were assessed at the time when the total immunized population reached the level predicted by the HIT, and at the end of simulations. Further, all three models were used to simulate the transmission dynamics of seasonal influenza in the United States and disease burdens were projected and compared with estimates from the Centers for Disease Control and Prevention. For the simulated infectious disease, in the initial phase of the outbreak, all three models performed expectedly when the sizes of infectious and recovered populations were relatively small. As the infectious population increased, the conventional SIR model appeared to overestimate the infections even when the HIT was achieved in all scenarios with and without vaccination. For the same scenario, Model A appeared to attain the level predicted by the HIT and in comparison, Model B projected the infectious disease to be controlled at the level predicted by the HIT only at high vaccination rates. For infectious diseases with high r0, and at low vaccination rates, the level at which the infectious disease was controlled cannot be accurately predicted by the current theorem. Transmission dynamics of infectious diseases with herd immunity can be accurately modelled by allowing the transmission rate of infectious diseases to decline along with the reduction of contact infection risk after recovery or vaccination. Model B provides a credible framework for modelling infectious diseases with herd immunity in a randomly mixed population.
    Matched MeSH terms: Disease Outbreaks
  19. Bamou R, Mayi MPA, Djiappi-Tchamen B, Nana-Ndjangwo SM, Nchoutpouen E, Cornel AJ, et al.
    Parasit Vectors, 2021 Oct 11;14(1):527.
    PMID: 34635176 DOI: 10.1186/s13071-021-04950-9
    The expansion of mosquito-borne diseases such as dengue, yellow fever, and chikungunya in the past 15 years has ignited the need for active surveillance of common and neglected mosquito-borne infectious diseases. The surveillance should be designed to detect diseases and to provide relevant field-based data for developing and implementing effective control measures to prevent outbreaks before significant public health consequences can occur. Mosquitoes are important vectors of human and animal pathogens, and knowledge on their biodiversity and distribution in the Afrotropical region is needed for the development of evidence-based vector control strategies. Following a comprehensive literature search, an inventory of the diversity and distribution of mosquitoes as well as the different mosquito-borne diseases found in Cameroon was made. A total of 290 publications/reports and the mosquito catalogue website were consulted for the review. To date, about 307 species, four subspecies and one putative new species of Culicidae, comprising 60 species and one putative new species of Anopheles, 67 species and two subspecies of Culex, 77 species and one subspecies of Aedes, 31 species and one subspecies of Eretmapodites, two Mansonia, eight Coquillettidia, and 62 species with unknown medical and veterinary importance (Toxorhynchites, Uranotaenia, Mimomyia, Malaya, Hodgesia, Ficalbia, Orthopodomyia, Aedeomyia, and Culiseta and Lutzia) have been collected in Cameroon. Multiple mosquito species implicated in the transmission of pathogens within Anopheles, Culex, Aedes, Eretmapodites, Mansonia, and Coquillettidia have been reported in Cameroon. Furthermore, the presence of 26 human and zoonotic arboviral diseases, one helminthic disease, and two protozoal diseases has been reported. Information on the bionomics, taxonomy, and distribution of mosquito species will be useful for the development of integrated vector management programmes for the surveillance and elimination of mosquito-borne diseases in Cameroon.
    Matched MeSH terms: Disease Outbreaks
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