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Li HH, Su MP, Wu SC, Tsou HH, Chang MC, Cheng YC, Tsai KN, Wang HW, Chen GH, Tang CK, Chung PJ, Tsai WT, Huang LR, Yueh YA, Chen HW, Pan CY, Akbari OS, Chang HH, Yu GY, Marshall JM, Chen CH. Mechanical transmission of dengue virus by Aedes aegypti may influence disease transmission dynamics during outbreaks. EBioMedicine 2023; 94:104723. [PMID: 37487418 PMCID: PMC10382859 DOI: 10.1016/j.ebiom.2023.104723] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/02/2023] [Accepted: 07/06/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Dengue virus outbreaks are increasing in number and severity worldwide. Viral transmission is assumed to require a minimum time period of viral replication within the mosquito midgut. It is unknown if alternative transmission periods not requiring replication are possible. METHODS We used a mouse model of dengue virus transmission to investigate the potential of mechanical transmission of dengue virus. We investigated minimal viral titres necessary for development of symptoms in bitten mice and used resulting parameters to inform a new model of dengue virus transmission within a susceptible population. FINDINGS Naïve mice bitten by mosquitoes immediately after they took partial blood meals from dengue infected mice showed symptoms of dengue virus, followed by mortality. Incorporation of mechanical transmission into mathematical models of dengue virus transmission suggest that this supplemental transmission route could result in larger outbreaks which peak sooner. INTERPRETATION The potential of dengue transmission routes independent of midgut viral replication has implications for vector control strategies that target mosquito lifespan and suggest the possibility of similar mechanical transmission routes in other disease-carrying mosquitoes. FUNDING This study was funded by grants from the National Health Research Institutes, Taiwan (04D2-MMMOST02), the Human Frontier Science Program (RGP0033/2021), the National Institutes of Health (1R01AI143698-01A1, R01AI151004 and DP2AI152071) and the Ministry of Science and Technology, Taiwan (MOST104-2321-B-400-016).
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Affiliation(s)
- Hsing-Han Li
- National Mosquito-Borne Disease Control Research Center, NHRI, Miaoli, 350401, Taiwan; National Institute of Infectious Diseases and Vaccinology, NHRI, Miaoli, 350401, Taiwan; Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Matthew P Su
- Graduate School of Science, Nagoya University, Nagoya, 464-8602, Japan; Institute for Advanced Research, Nagoya University, Nagoya, 464-8601, Japan
| | - Shih-Cheng Wu
- National Mosquito-Borne Disease Control Research Center, NHRI, Miaoli, 350401, Taiwan; National Institute of Infectious Diseases and Vaccinology, NHRI, Miaoli, 350401, Taiwan; Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, 10048, Taiwan; Department of Laboratory Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, 10021, Taiwan
| | - Hsiao-Hui Tsou
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, 350401, Taiwan; Graduate Institute of Biostatistics, College of Public Health, China Medical University, Taichung, 40402, Taiwan
| | - Meng-Chun Chang
- Department of Life Science & Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan
| | - Yu-Chieh Cheng
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, 350401, Taiwan
| | - Kuen-Nan Tsai
- Institute of Molecular and Genomic Medicine, NHRI, Miaoli, 350401, Taiwan
| | - Hsin-Wei Wang
- National Mosquito-Borne Disease Control Research Center, NHRI, Miaoli, 350401, Taiwan; National Institute of Infectious Diseases and Vaccinology, NHRI, Miaoli, 350401, Taiwan
| | - Guan-Hua Chen
- National Institute of Infectious Diseases and Vaccinology, NHRI, Miaoli, 350401, Taiwan; Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan
| | - Cheng-Kang Tang
- National Institute of Infectious Diseases and Vaccinology, NHRI, Miaoli, 350401, Taiwan; Program of Plant Protection and Health, Academy of Circular Economy, National Chung Hsing University, Taichung, 402202, Taiwan
| | - Pei-Jung Chung
- National Institute of Infectious Diseases and Vaccinology, NHRI, Miaoli, 350401, Taiwan
| | - Wan-Ting Tsai
- National Institute of Infectious Diseases and Vaccinology, NHRI, Miaoli, 350401, Taiwan
| | - Li-Rung Huang
- Institute of Molecular and Genomic Medicine, NHRI, Miaoli, 350401, Taiwan
| | - Yueh Andrew Yueh
- Institute of Biotechnology and Pharmaceutical Research, NHRI, Miaoli, 350401, Taiwan
| | - Hsin-Wei Chen
- National Institute of Infectious Diseases and Vaccinology, NHRI, Miaoli, 350401, Taiwan
| | - Chao-Ying Pan
- Department of Health, Kaohsiung City Government, Kaohsiung, 800852, Taiwan
| | - Omar S Akbari
- Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Hsiao-Han Chang
- Department of Life Science & Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan
| | - Guann-Yi Yu
- National Institute of Infectious Diseases and Vaccinology, NHRI, Miaoli, 350401, Taiwan
| | - John M Marshall
- Divisions of Biostatistics and Epidemiology, School of Public Health, University of California, Berkeley, CA, 94720, USA
| | - Chun-Hong Chen
- National Mosquito-Borne Disease Control Research Center, NHRI, Miaoli, 350401, Taiwan; National Institute of Infectious Diseases and Vaccinology, NHRI, Miaoli, 350401, Taiwan.
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Olagunju EA. Is the presence of mosquitoes an indicator of poor environmental sanitation? JOURNAL OF WATER AND HEALTH 2023; 21:385-401. [PMID: 37338318 PMCID: wh_2023_280 DOI: 10.2166/wh.2023.280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
The World Health Organization has designated mosquitoes as the most lethal animal since they are known to spread pathogen-transmitting organisms. Understanding the many environmental elements that contribute to the spread of these vectors is one of the many strategies used to stop them. If there are mosquitoes around people, it may indicate that there is not an appropriate environmental sanitation program in place in the community or region. Environmental sanitation involves improving any elements of the physical environment that could have a negative impact on a person's survival, health, or physical environment. Keywords containing 'Aedes,' 'Culex,' 'Anopheles,' 'dengue,' 'malaria,' 'yellow fever,' 'Zika,' 'West Nile,' 'chikungunya,' 'resident,' 'environment,' 'sanitation,' 'mosquito control,' and 'breeding sites' of published articles on PubMed, Google Scholar, and ResearchGate were reviewed. It was discovered that the general population should be involved in mosquito and mosquito-borne disease control. Collaboration between health professionals and the general population is essential. The purpose of this paper is to increase public awareness of environmental health issues related to diseases carried by mosquitoes.
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Affiliation(s)
- Emmanuel Ajibola Olagunju
- Department of Crop and Environmental Protection, Faculty of Agricultural Sciences, Ladoke Akintola University of Technology, Ogbomoso, Nigeria E-mail:
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Keating P, Murray J, Schenkel K, Merson L, Seale A. Electronic data collection, management and analysis tools used for outbreak response in low- and middle-income countries: a systematic review and stakeholder survey. BMC Public Health 2021; 21:1741. [PMID: 34560871 PMCID: PMC8464108 DOI: 10.1186/s12889-021-11790-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 08/29/2021] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Use of electronic data collection, management and analysis tools to support outbreak response is limited, especially in low income countries. This can hamper timely decision-making during outbreak response. Identifying available tools and assessing their functions in the context of outbreak response would support appropriate selection and use, and likely more timely data-driven decision-making during outbreaks. METHODS We conducted a systematic review and a stakeholder survey of the Global Outbreak Alert and Response Network and other partners to identify and describe the use of, and technical characteristics of, electronic data tools used for outbreak response in low- and middle-income countries. Databases included were MEDLINE, EMBASE, Global Health, Web of Science and CINAHL with publications related to tools for outbreak response included from January 2010-May 2020. Software tool websites of identified tools were also reviewed. Inclusion and exclusion criteria were applied and counts, and proportions of data obtained from the review or stakeholder survey were calculated. RESULTS We identified 75 electronic tools including for data collection (33/75), management (13/75) and analysis (49/75) based on data from the review and survey. Twenty-eight tools integrated all three functionalities upon collection of additional information from the tool developer websites. The majority were open source, capable of offline data collection and data visualisation. EpiInfo, KoBoCollect and Open Data Kit had the broadest use, including for health promotion, infection prevention and control, and surveillance data capture. Survey participants highlighted harmonisation of data tools as a key challenge in outbreaks and the need for preparedness through training front-line responders on data tools. In partnership with the Global Health Network, we created an online interactive decision-making tool using data derived from the survey and review. CONCLUSIONS Many electronic tools are available for data -collection, -management and -analysis in outbreak response, but appropriate tool selection depends on knowledge of tools' functionalities and capabilities. The online decision-making tool created to assist selection of the most appropriate tool(s) for outbreak response helps by matching requirements with functionality. Applying the tool together with harmonisation of data formats, and training of front-line responders outside of epidemic periods can support more timely data-driven decision making in outbreaks.
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Affiliation(s)
- Patrick Keating
- London School of Hygiene and Tropical Medicine, London, UK. .,United Kingdom Public Health Rapid Support Team, London, UK.
| | - Jillian Murray
- London School of Hygiene and Tropical Medicine, London, UK
| | | | | | - Anna Seale
- London School of Hygiene and Tropical Medicine, London, UK.,United Kingdom Public Health Rapid Support Team, London, UK
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de Sousa SC, Carneiro M, Eiras ÁE, Bezerra JMT, Barbosa DS. Factors associated with the occurrence of dengue epidemics in Brazil: a systematic review. Rev Panam Salud Publica 2021; 45:e84. [PMID: 34377143 PMCID: PMC8344382 DOI: 10.26633/rpsp.2021.84] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 04/30/2021] [Indexed: 11/24/2022] Open
Abstract
Objective To identify and describe broadly the factors related to the occurrence of dengue epidemics in Brazil. Methods Systematic review of studies published in Medline, Lilacs, PubMed, Cochrane, BVS, Web of Science, Scopus, and thesis and dissertations databases using descriptors cataloged in DeCs and MeSH on dengue and factors associated with the occurrence of epidemics, published from 2008 to 2018. Results Thirty-five studies carried out in the country were selected. The epidemics recorded in Brazil were associated and/or correlated with multiple factors such as environment, socioeconomic conditions, climate, and aspects related to the vector, among others. Conclusions Dengue epidemics are complex and multifactorial. The continuity of the vector control actions was found to be relevant to the reduction of Aedes aegypti and for disease control. To contain the spread of the disease, effective measures are needed in all sectors, including health, education, economy, population, business, and government. Actions for the early detection of cases of the disease can prevent new outbreaks of epidemics.
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Affiliation(s)
- Selma Costa de Sousa
- Universidade Federal de Minas Gerais Belo Horizonte Brazil Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Mariângela Carneiro
- Universidade Federal de Minas Gerais Belo Horizonte Brazil Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Álvaro Eduardo Eiras
- Universidade Federal de Minas Gerais Belo Horizonte Brazil Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - David Soeiro Barbosa
- Universidade Federal de Minas Gerais Belo Horizonte Brazil Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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Faridah L, Mindra IGN, Putra RE, Fauziah N, Agustian D, Natalia YA, Watanabe K. Spatial and temporal analysis of hospitalized dengue patients in Bandung: demographics and risk. Trop Med Health 2021; 49:44. [PMID: 34039439 PMCID: PMC8152360 DOI: 10.1186/s41182-021-00329-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 05/03/2021] [Indexed: 01/02/2023] Open
Abstract
Background Bandung, the fourth largest city in Indonesia and capital of West Java province, has been considered a major endemic area of dengue, and studies show that the incidence in this city could increase and spread rapidly. At the same time, estimation of incidence could be inaccurate due to a lack of reliable surveillance systems. To provide strategic information for the dengue control program in the face of limited capacity, this study used spatial pattern analysis of a possible outbreak of dengue cases, through the Geographic Information System (GIS). To further enhance the information needed for effective policymaking, we also analyzed the demographic pattern of dengue cases. Methods Monthly reports of dengue cases from January 2014 to December 2016 from 16 hospitals in Bandung were collected as the database, which consisted of address, sex, age, and code to anonymize the patients. The address was then transformed into geocoding and used to estimate the relative risk of a particular area’s developing a cluster of dengue cases. We used the kernel density estimation method to analyze the dynamics of change of dengue cases. Results The model showed that the spatial cluster of the relative risk of dengue incidence was relatively unchanged for 3 years. Dengue high-risk areas predominated in the southern and southeastern parts of Bandung, while low-risk areas were found mostly in its western and northeastern regions. The kernel density estimation showed strong cluster groups of dengue cases in the city. Conclusions This study demonstrated a strong pattern of reported cases related to specific demographic groups (males and children). Furthermore, spatial analysis using GIS also visualized the dynamic development of the aggregation of disease incidence (hotspots) for dengue cases in Bandung. These data may provide strategic information for the planning and design of dengue control programs.
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Affiliation(s)
- Lia Faridah
- Parasitology Division, Department of Biomedical Science, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia. .,Foreign Visiting Researcher at Department of Civil and Environmental Engineering, Ehime University, Matsuyama, Japan.
| | | | - Ramadhani Eka Putra
- School of Life Science and Technology, Institut Teknologi Bandung, Jl. Ganeca 10, Bandung, West Java, 40132, Indonesia
| | - Nisa Fauziah
- Parasitology Division, Department of Biomedical Science, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Dwi Agustian
- Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Yessika Adelwin Natalia
- Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Kozo Watanabe
- Department of Civil and Environmental Engineering, Ehime University, Matsuyama, Japan
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Fuzzy Multidimensional Model to Cluster Dengue Risk in Sri Lanka. BIOMED RESEARCH INTERNATIONAL 2020; 2020:2420948. [PMID: 33204687 PMCID: PMC7661134 DOI: 10.1155/2020/2420948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 07/31/2020] [Accepted: 09/17/2020] [Indexed: 11/18/2022]
Abstract
Dengue is the world's rapidly transmitting mosquito-borne viral disease. It is mostly found in subtropical countries in the world. The annual number of global deaths caused by dengue fever is about 25,000. The Sri Lanka dengue situation is also not different to other countries. In the year 2019, dengue fever caused 120 deaths in Sri Lanka. Most of these deaths were reported from the main administrative district Colombo. Health authorities have to pay their attention to control this new situation. Therefore, identifying the hot spots in the country and implementing necessary actions to control the disease is an important task. This study aims to develop a clustering technique to identify the dengue hot spots in Sri Lanka. Suitable risk factors are identified using expert ideas and reviewing available literature. The weights are derived using Chang's extent method. These weights are used to prioritize the factors associated with dengue. Using the geometric mean, the interaction between the triggering variable and other variables is calculated. According to the interaction matrices, five dengue risk clusters are identified. It is found that high population movement in the area plays a dominant role to transmit the disease to other areas. Most of the districts in Sri Lanka will reach to moderate risk cluster in the year 2022.
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Santos JPCD, Honório NA, Nobre AA. Definition of persistent areas with increased dengue risk by detecting clusters in populations with differing mobility and immunity in Rio de Janeiro, Brazil. CAD SAUDE PUBLICA 2019; 35:e00248118. [DOI: 10.1590/0102-311x00248118] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 06/03/2019] [Indexed: 11/22/2022] Open
Abstract
Dengue is a re-emerging arbovirus infection of major epidemiological importance. The detection of dengue clusters is an important epidemiological surveillance strategy, contributing to better allocation of control measures and prioritizing areas that are subject to increased risk of transmission. Studies involving human populations with low mobility are scarce, and the current study thus aims to investigate the presence of persistent dengue clusters in the city of Rio de Janeiro, Brazil, in populations with different mobility and immunity. Epidemiological data on dengue were obtained from the Brazilian Ministry of Health. Areas of increased risk were defined by the space-time scan statistical method and analysis of persistence with use of map algebra. For both study populations, the clusters that were identified did not show spatial concordance, except in years when both presented the same immunological profile. Their persistent clusters were located mostly in the West Zone of city. The clusters of the two study populations only displayed spatial concordance in years with similar immune profiles, which confirms the confounding role of immunity and supports the use of populations with high percentages of susceptible individuals when designing territory-based dengue studies. The space-time similarity between the areas of persistent risk in both populations suggests that the West Zone, a region with disorderly urban growth and low mean income, shows the highest risk of dengue transmission. The definition of persistent dengue clusters contributes to the improvement of dengue control strategies and territorial planning.
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Diderichsen F, Augusto LGDS, Perez B. Understanding social inequalities in Zika infection and its consequences: A model of pathways and policy entry-points. Glob Public Health 2018; 14:675-683. [PMID: 30301438 DOI: 10.1080/17441692.2018.1532528] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
The health consequences of arbovirus infections such as dengue fever (DENV), Chikungunya (CHIKV) and Zika (ZIKV) has in recent years become a public health challenge, due to failure of prevention followed by increased incidence and pronounced social inequality in occurrence and consequences. This motivates a more systematic analysis of the potential mechanisms and pathways that generate these inequalities. We present in the paper a model that delineates five possible mechanisms driving the inequality of ZIKV and congenital Zika syndrome (CZS). They include differential exposure to bad housing and sanitary conditions, differential exposure to vector density and virus, differential vulnerability to the health effects of exposure to virus, differential intrauterine susceptibility to the teratogenic effects of ZIKV infection and differential social consequences of caring for a disabled child. For each mechanism, we present empirical evidence or need for more research as well as a discussion about policy implications.
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Affiliation(s)
- Finn Diderichsen
- a Department of Public Health, University of Copenhagen, Copenhagen , Denmark.,b Oswaldo Cruz Foundation, IAM-FIOCRUZ/PE , Recife , Brazil
| | | | - Bernadete Perez
- c Departamento de Medicina Social, Federal University , Recife , Brazil
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