| Literature DB >> 35603040 |
Gagan Matta1, Pamposh Kumar2, D P Uniyal3, Divya U Joshi4.
Abstract
WASH (water, sanitation, and hygiene) has become the most crucial amenity in the past decade for every individual on the planet. In the UN agenda for 2030, which created 17 Sustainable Development Goals (SDGs), SDGs 3, 4, and 6 directly correlate with WASH practices and management for creating a good health hygiene environment for all. The dearth of WASH facilities has created barriers for averting the transmission of COVID-19, motivating the concept of WASH as the primary step of precaution and prevention, which includes WASH practices, communication for literacy, and positive behavioral changes primarily in developing and low-income countries. This Review deals with the complex concept of correlation of WASH and SDGs 3, 4, and 6 while defining elaborate WASH practices, including the prominence of clean water, the need for sanitation facilities, and health hygiene for good health and immunity for preparedness for and during epidemics and pandemics. Certain risk factors explain the sectors in which the gaps exist, creating a gap for implementation of WASH practices in epidemics and pandemics across the globe. Further, COVID-19 surge succession is presented along with data of different variants that have occurred. The need of WASH understanding is required using different tools (audio-visual, social media, print media, and mass media) and strategies (communication, advocacy, and positive behavioral changes) for every individual as an act to counter consequences during and after the COVID-19 pandemic and as a routine practice for future preparedness. This Review gives a detailed concept of WASH understanding for every sector from community to government agencies and research professionals to act immediately for the sustainable future of humanity.Entities:
Year: 2022 PMID: 35603040 PMCID: PMC9113005 DOI: 10.1021/acsestwater.1c00366
Source DB: PubMed Journal: ACS ES T Water ISSN: 2690-0637
Figure 1Transfer of zoonotic diseases from animals to human beings. Reproduced from https://www.cdc.gov/onehealth/basics/zoonotic-diseases.html.
Figure 2Factors increasing zoonosis emergence (diseases transmitted from animals to humans). Reproduced from UNEP Frontiers 2016 Report.
Type of Connection to Transfer of Pathogens from Animals to Humansa
| type of contact | mode of transmission | |
|---|---|---|
| 1. | direct contact | contact with the saliva, blood, urine, mucous, feces, or other body fluids of an infected animal |
| 2. | indirect contact | contact with areas where animals live and roam or objects or surfaces that have been contaminated with germs |
| 3. | vector-borne | bitten by a tick or an insect like a mosquito or a flea |
| 4. | food-borne | eating or drinking unpasteurized (raw) milk, undercooked meat or eggs, or raw fruits and vegetables that are contaminated |
| 5. | water-borne | drinking or coming in contact with water that has been contaminated with feces from an infected animal |
Reproduced from https://www.cdc.gov/onehealth/basics/zoonotic-diseases.html.
History’s Epidemics and Pandemics, Time Period, and Death Toll per the Records
| name | time period | type/prehuman host | death toll |
|---|---|---|---|
| Antonine Plague | 165–180 | either smallpox or measles | 5M |
| Japanese smallpox epidemic | 735–737 | 1M | |
| plague of Justinian | 541–542 | 30–50M | |
| Black Death | 1347–1351 | 200M | |
| New World smallpox outbreak | 1520 onward | 56M | |
| Great Plague of London | 1665 | 100 000 | |
| Italian Plague | 1629–1631 | 1M | |
| cholera pandemics 1 6 | 1817–1923 | 1M+ | |
| third plague | 1885 | 12M (China and India) | |
| yellow fever | late 1800s | virus/mosquitoes | 100 000–150 000 (U.S.) |
| Russian flu | 1889–1890 | believed to be H2N2 (avian origin) | 1M |
| Spanish flu | 1918–1919 | H1N1 virus/pigs | 40–50M |
| Asian flu | 1957–1958 | H2N2 virus | 1.1M |
| Hong Kong flu | 1968–1970 | H3N2 virus | 1M |
| HIV/AIDS | 1981 to present | virus/chimpanzees | 25–35M |
| swine flu | 2009–2010 | H1N1 virus/pigs | 200 000 |
| SARS | 2002–2003 | coronavirus/bats, civets | 770 |
| Ebola | 2014–2016 | ebolavirus/wild animals | 11 000 |
| MERS | 2015 to present | coronavirus/bats, camels | 850 |
| COVID-19 | 2019 to present | coronavirus/unknown (possibly pangolins) | 2 65 000 per WHO |
Figure 3Map showing Choropleth Maps of Pandemic COVID-19 cases (a), deaths (b), and vaccination (c) across the globe. Repritned from https://COVID-19.who.int/.
Figure 4Above image showing (a) cumulative confirmed cases, (b) incidence rate, (c) case-fatality ratio, (d) global vaccinations. Reproduced from COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU), https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6.[113]
Figure 5Detailed correlation between SDGs 3, 4, and 6 and WASH communication.
Classification of Patterns of Pandemics
| patterns | explanation | pandemic name | |
|---|---|---|---|
| 1. | originality | new or novel variants of existing organisms | SARS and avian influenza arising from Asia |
| 2. | geographical distribution | extend over large geographic areas | H1N1 pandemic affecting around 178 countries in 2009 |
| 3. | disease movement | unexpected disease movement or outbreak via transmission, to be traced at different places | pandemic influenza A (H1N1), widespread transmission in both hemispheres in 2009 |
| 4. | severity | pandemics with high mortality and morbidity affected by a new viral strain emerges | Ebola, most cases die within 10 days of their initial infection |
| 5. | high attack rates | outbreak of pandemics with very high rates | H1N1 and Ebola |
| 6. | minimal population immunity | pandemics affect populations with low immunity against microbial infection and transmission; population immunity can be a powerful antipandemic force | because H7N9 was a new variant of the influenza virus, it affected the population in a very short span of time showing no immunity |
Figure 6World population growth curve by 2100. Reproduced from https://ourworldindata.org/future-population-growth.
Figure 7Relationships in classification of water-borne disease.
Figure 8(a) Global freshwater use from 1901 to 2014. (b) Global annual freshwater withdrawals, 2016. (c) Global water withdrawals per capita, 2015. (d) Global municipal water withdrawal, 2015. Reproduced from https://ourworldindata.org/water-use-stress.
Figure 9(a) Death rate from unsafe sanitation, 2017. (b) Share of population with improved sanitation facilities, 2015. (c) Number of people with improved sanitation facilities, 2015. (d) Mortality rate attributable to unsafe water, sanitation and hygiene (WASH), 2016. (a, b, c) Reproduced from https://ourworldindata.org/sanitation. (d) Reproduced from https://ourworldindata.org/grapher/mortality-rate-attributable-to-wash.
Figure 10Drinking Water Coverage Trends, by Regions and World Using the JMP Improved Water Definition 1990–2015. Reproduced from ref (33). License: Creative Commons Attribution CC BY 3.0 IGO.
Figure 11Sanitation Coverage Trends, by Regions and World Using the JMP Improved Water Definition 1990–2015. Reproduced from ref (33). License: Creative Commons Attribution CC BY 3.0 IGO.
Classification of Water-Related Disease
| category | description of category | type of water | subcategories | disease/infections |
|---|---|---|---|---|
| water-borne microbiological disease | consumption of pathogen-containing water from human or animal fecal material | drinking water | •treated or untreated (raw) water | cholera, typhoid fever, viral gastroenteritis |
| •public (municipal) supplies or private supplies | ||||
| water-borne chemical disease | ingestion of toxic substances in water | drinking water | •treated or untreated (raw) water | arsenicosis |
| •public (municipal) supplies or private supplies | ||||
| water hygiene disease | incidence, prevalence, or severity reduction by using safe (clean) water to improve personal and domestic hygiene | water used for washing/ personal hygiene | •disease related to variations in water quality | scabies, shigellosis, trachoma |
| •disease related to water shortage | ||||
| water contact diseases | skin contact with pathogen-infested water or with chemical-contaminated water | recreational water | •freshwater sources | schistosomiasis (bilharzia), cyanobacteria |
| •marine waters | ||||
| water-based vector diseases | aquatic invertebrate organism living in or adjacent to a water habitat | untreated freshwater sources | •rivers, streams | malaria, filiariasis, onchocerciasis, schistosomiasis |
| •small collections of stagnant water | ||||
| excreta disposal diseases | unsanitary disposal of human waste (feces and urine) | drinking water and untreated water sources | •diseases related to human/animal waste in drinking water | ascariasis, fecal–oral infections (e.g., shigellosis), schistosomiais, trachoma |
| •diseases related to direct/indirect contact with feces/ urine | ||||
| water aerosol diseases | respiratory transmission, where a water aerosol containing suspended pathogens enters airway | drinking or raw water sources | •water used in industrial/ residential buildings | Legionellosis, Norwalk-like viral gastroenteritis |
| •raw water sources |
Disease Burden from Inadequate WASH for the Year 2016a,b
| disease | deaths | DALYs (‘000) | population attributable fraction |
|---|---|---|---|
| diarrheal diseases | 828 651 | 49 774 | 0.60 |
| soil-transmitted helminth infections | 6248 | 3431 | 1 |
| acute respiratory infections | 370 370 | 17 308 | 0.13 |
| malnutrition | 28 194 | 2995 | 0.16 |
| trachoma | <10 | 244 | 1 |
| schistosomiasis | 10 405 | 1096 | 0.43 |
| lymphatic filariasis | <10 | 782 | 0.67 |
| malaria | 354 924 | 29 708 | 0.80 |
| dengue | 38 315 | 2936 | 0.95 |
| onchocerciasis | <10 | 96 | 0.10 |
| subtotal water resource management | |||
| drownings | 233 890 | 14 723 | 0.73 (0.74 for LMIC, 0.54 for HIC) |
| total inadequate water, sanitation and hygiene | 1 870 998 | 123 093 | NA |
Table reproduced from Table 2 of ref (114), which was reproduced from ref (115).
LMIC: low- and middle-income countries. HIC: high-income countries. DALYs: disability-adjusted life years. NA: not applicable. Disease burden estimates are for low- and middle-income countries. The estimates for diarrhea, acute respiratory infections, and drownings also include the disease burden in high-income countries.
Includes disease burden from protein-energy malnutrition (PEM) and consequences in children under five only.
List of All primari Variants Occurring to Date during the COVID-19 Pandemic
| WHO label | Pango lineage | GISAID clade/lineage | next strain clade | earliest documented samples | date of designation |
|---|---|---|---|---|---|
| Alpha | B.1.1.7 | GRY (formerly GR/501Y.V1) | 20I (V1) | United Kingdom, Sep-2020 | 18-Dec-2020 |
| Beta | B.1.351 | GH/501Y.V2 | 20H (V2) | South Africa, May-2020 | 18-Dec-2020 |
| Gamma | P.1 | GR/501Y.V3 | 20J (V3) | Brazil, Nov-2020 | 11-Jan-2021 |
| Delta | B.1.617.2 | G/478K.V1 | 21A | India, Oct-2020 | VOI: 4-Apr-2021 |
| VOC: 11-May-2021 | |||||
| Epsilon | B.1.427/B.1.429 | GH/452R.V1 | 21C | United States of America, Mar-2020 | 5-Mar-2021 |
| Zeta | P.2 | GR/484K.V2 | 20B/S.484K | Brazil, Apr-2020 | 17-Mar-2021 |
| Eta | B.1.525 | G/484K.V3 | 21D | multiple countries, Dec-2020 | 17-Mar-2021 |
| Theta | P.3 | GR/1092K.V1 | 21E | Philippines, Jan-2021 | 24-Mar-2021 |
| Iota | B.1.526 | GH/253G.V1 | 21F | United States of America, Nov-2020 | 24-Mar-2021 |
| Kappa | B.1.617.1 | G/452R.V3 | 21B | India, Oct-2020 | 4-Apr-2021 |
| Lambda | C.37 | GR/452Q.V1 | 20D | Peru, Dec-2020 | 14-Jun-2021 |
Hygiene and Waste Management Guidelines per WHO WASH Programa
| I. In Health Care Centers | ||
|---|---|---|
| 1. | perseverance of virus in clean water | many possibilities of coronavirus in untreated fresh water, requiring primari attention in current global health crisis |
| 2. | safely managing wastewater and fecal waste | although there is no such evidence to date of virus fragments found in feces of COVID-19 infected patients, it could increase the high risk factor of other potential infections, requiring regular checks and treatment of wastewater using disinfectants |
| 3. | keeping water supplies safe | protecting from the water source, using recommended treatment before distribution, regularly checking, monitoring, and cleaning of containers and storage units are most important to avoid any kind of contamination even after treatment |
| 4. | hand hygiene practices | important for fighting any disease, and most important in the COVID-19 pandemic, are initiating regular programs with science communication and social awareness and providing all health care facilities with access to all public platform; hand washing with clean water or hand sanitation with alcohol-based sanitizers is one basic solution to fight the health crisis |
| 5. | sanitation and plumbing | people with infection or suspected infection with COVID-19 should be provided with a separate toilet system, which must be cleaned and sanitized by a trained cleaner wearing PPE |
| from cleaning to sanitization to plumbing with regular checks and following the guidelines of WHO guidelines, including the wastewater piping system before it reaches the disposal site | ||
| 6. | toilets and the handling of feces | diapers or clean bedpans with immediate disposal procedures at the time of severity of the patient; healthcare workers doing all the procedure must be trained with WHO contact and droplet precautions, while being equipped with PPE during the procedure, and must be sanitized again before coming to patients |
| 7. | safe management of health care waste | per the WHO guidelines, management of health care waste, which must be segregated and disposed of safely; waste produced during the patient care, including used masks, sanitizer bottles, used PPE kits, medical equipment waste, and pathological waste should be collected safely and disposed of following proper precautions; along with waste from the waiting areas and from inside the campus, toxic and nontoxic waste should be separated and disposed of with much care during the current coronavirus global health crisis |
| 8. | environmental cleaning and laundry | regular cleaning and sanitization procedures for patient wards, ICUs, and chambers must be done along with the patients once a day and patient clothing must be washed separately; workers performing environmental cleaning and changing clothes and bedsheets should wear PPE kits and must follow the hand hygiene practice after the cleaning work and after removing PPE kits; excreta if on clothes or bedsheets must be taken care of per the norms |
| 9. | disposal of greywater or wastewater | reusable medical gear should be cleaned with soap and clean water and decontaminated with 0.5% sodium hypochlorite solution every time; wastewater out or the graywater must be disposed in sewer system for further treatment before reuse |
| 10. | safe management of dead bodies | standard procedures must be followed in handling a deceased person’s body; health care workers or mortuary staff must wear the PPE kits; after completion of the procedure including disposal of infectious waste and disinfection of used equipment, hand hygiene and sanitation procedures must be followed; the deceased body must be transferred to a mortuary area as soon as possible after wrapping in cloth or fabric or a bag (during the excessive body fluid leakage, etc.) |
Table reproduced from ref (87).
Figure 12Capacity Assessment. Reproduced from UNICEF 2020.[78]